xszheng2020/the_stack_dedup_python_hits_2 · Datasets at Hugging Face

06e9ddbd5d41c9f96f73c520c1781fa771359353

307

py

Python

django/pactf_web/ctflex_helpers.py

milesmcc/pactf-2018

cfd9d94a7b6828259220f52ab3c5893a28429c62

[ "MIT" ]

10

2016-02-29T00:30:54.000Z

2021-04-18T17:47:54.000Z

django/pactf_web/ctflex_helpers.py

milesmcc/pactf-2018

cfd9d94a7b6828259220f52ab3c5893a28429c62

[ "MIT" ]

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2018-06-21T21:55:33.000Z

2018-06-25T12:49:59.000Z

django/pactf_web/ctflex_helpers.py

milesmcc/pactf-2018

cfd9d94a7b6828259220f52ab3c5893a28429c62

[ "MIT" ]

8

2016-04-01T14:57:05.000Z

2019-04-01T03:37:21.000Z

"""Define objects for CTFlex""" # def eligible(team): # """Determine eligibility of team # # This function is used by CTFlex. # """ # return (team.standing == team.GOOD_STANDING # and team.country == team.US_COUNTRY # and team.background == team.SCHOOL_BACKGROUND)

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Python

purbeurre_project/settings/dev.py

etiennody/purbeurre-v2

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[ "MIT" ]

null

purbeurre_project/settings/dev.py

etiennody/purbeurre-v2

cee10b5ad3ccee6535f197070cd4ee80f2bad5d0

[ "MIT" ]

3

2020-10-12T13:58:38.000Z

2020-11-12T01:02:14.000Z

purbeurre_project/settings/dev.py

etiennody/purbeurre-v2

cee10b5ad3ccee6535f197070cd4ee80f2bad5d0

[ "MIT" ]

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2021-02-03T18:49:31.000Z

""" Django settings for purbeurre_project project. Generated by 'django-admin startproject' using Django 3.0.8. For more information on this file, see https://docs.djangoproject.com/en/3.0/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/3.0/ref/settings/ """ import os from .base import * # Quick-start development settings - unsuitable for production # See https://docs.djangoproject.com/en/3.0/howto/deployment/checklist/ # SECURITY WARNING: keep the secret key used in production secret! SECRET_KEY = os.environ.get("PURBEURRE_SECRET_KEY", "idsqn%qsm!dfihzq@zml-fpvn9s_qdf") # SECURITY WARNING: don't run with debug turned on in production! DEBUG = True ALLOWED_HOSTS = ["localhost", "127.0.0.1"] # Database # https://docs.djangoproject.com/en/3.0/ref/settings/#databases DATABASES = { "default": { "ENGINE": "django.db.backends.postgresql", "NAME": os.environ.get("PURBEURRE_DBNAME", "purbeurre_dbname"), "USER": os.environ.get("PURBEURRE_DBUSER", "purbeurre_dbuser"), "PASSWORD": os.environ.get("PURBEURRE_DBPASSWD", "purbeurre_dbpasswd"), "HOST": "localhost", "PORT": 5432, } }

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Python

python/factualaudio/plot.py

factualaudio/factualaudio

8b9b824e98710470d9d09931688277f667b85a6e

[ "CC-BY-4.0" ]

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2017-11-20T21:25:24.000Z

2019-12-13T06:52:51.000Z

python/factualaudio/plot.py

factualaudio/factualaudio

8b9b824e98710470d9d09931688277f667b85a6e

[ "CC-BY-4.0" ]

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python/factualaudio/plot.py

factualaudio/factualaudio

8b9b824e98710470d9d09931688277f667b85a6e

[ "CC-BY-4.0" ]

null

from factualaudio.data import noise from factualaudio.decibel import to_decibels import numpy as np def waveform(axes, wave, sample_rate, *args, **kwargs): return axes.plot(np.arange(0, wave.size) * (1000 / sample_rate), wave, *args, **kwargs) # Equivalent to axes.amplitude_spectrum(), but plots on an RMS amplitude scale. # (i.e. an input sine wave of RMS amplitude X will show up as X on the plot) def rms_amplitude_spectrum(axes, wave, noise_level=1e-14, *args, **kwargs): kwargs.setdefault("window", np.ones(wave.size)) kwargs.setdefault("scale", "dB") # Add some noise to avoid numerical issues when converting to dB wave += noise(wave.size) * noise_level return axes.magnitude_spectrum(wave * np.sqrt(2), *args, **kwargs) def transfer_function_gain(axes, transfer_function, corner_frequency=1000): x = np.linspace(0, 20000, num=1000) return axes.semilogx(x, to_decibels(np.absolute(transfer_function(x * (1j / corner_frequency))))) def transfer_function_phase(axes, transfer_function, corner_frequency=1000): x = np.linspace(0, 20000, num=1000) return axes.semilogx(x, np.angle(transfer_function(x * (1j / corner_frequency)), deg=True))

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py

Python

gslides/__init__.py

michael-gracie/gslides

6400184454630e05559b20e8c6e6f52f42175d9c

[ "MIT" ]

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2021-08-12T14:18:18.000Z

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gslides/__init__.py

michael-gracie/gslides

6400184454630e05559b20e8c6e6f52f42175d9c

[ "MIT" ]

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2021-05-01T02:05:30.000Z

2022-03-04T06:09:02.000Z

gslides/__init__.py

michael-gracie/gslides

6400184454630e05559b20e8c6e6f52f42175d9c

[ "MIT" ]

3

2021-08-29T20:23:47.000Z

2021-12-09T18:36:40.000Z

# -*- coding: utf-8 -*- """Top-level package for gslides.""" __author__ = """Michael Gracie""" __email__ = "" __version__ = "0.1.1" from typing import Optional from google.oauth2.credentials import Credentials from .config import CHART_PARAMS, Creds, Font, PackagePalette creds = Creds() package_font = Font() package_palette = PackagePalette() def initialize_credentials(credentials: Optional[Credentials]) -> None: """Intializes credentials for all classes in the package. :param credentials: Credentials to build api connection :type credentials: google.oauth2.credentialsCredentials """ creds.set_credentials(credentials) def set_font(font: str) -> None: """Sets the font for all objects :param font: Font :type font: str """ package_font.set_font(font) def set_palette(palette: str) -> None: """Sets the palette for all charts :param palette: The palette to use :type palette: str """ package_palette.set_palette(palette) from .chart import Chart, Series # noqa from .colors import Palette # noqa from .frame import Frame # noqa from .presentation import Presentation # noqa from .spreadsheet import Spreadsheet # noqa from .table import Table # noqa

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py

Python

venv/lib/python3.8/site-packages/crispy_forms/templates/bootstrap/uni_form.html.py

Solurix/Flashcards-Django

03c863f6722936093927785a2b20b6b668bb743d

[ "MIT" ]

1

2021-05-16T03:20:23.000Z

venv/lib/python3.8/site-packages/crispy_forms/templates/bootstrap/uni_form.html.py

Solurix/Flashcards-Django

03c863f6722936093927785a2b20b6b668bb743d

[ "MIT" ]

4

2021-03-30T14:06:09.000Z

2021-09-22T19:26:31.000Z

venv/lib/python3.8/site-packages/crispy_forms/templates/bootstrap/uni_form.html.py

Solurix/Flashcards-Django

03c863f6722936093927785a2b20b6b668bb743d

[ "MIT" ]

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Python

mva_tools/build_roc_simple.py

kpedro88/koza4ok

32eaad4c7f352c53c4455e89123585607d4f4f74

[ "MIT" ]

11

2016-01-12T17:38:59.000Z

2021-07-12T09:05:09.000Z

mva_tools/build_roc_simple.py

kpedro88/koza4ok

32eaad4c7f352c53c4455e89123585607d4f4f74

[ "MIT" ]

9

2015-12-15T23:10:18.000Z

2016-11-12T10:59:39.000Z

mva_tools/build_roc_simple.py

kpedro88/koza4ok

32eaad4c7f352c53c4455e89123585607d4f4f74

[ "MIT" ]

7

2016-02-15T04:10:26.000Z

2021-12-27T05:52:25.000Z

import sys from array import array import numpy as np import ROOT from ROOT import TH1F xrange_bins = lambda nbins: xrange(1, nbins+1) def build_roc(h_sig, h_bkg, verbose=0): nbins_sig = h_sig.GetXaxis().GetNbins() nbins_bkg = h_bkg.GetXaxis().GetNbins() nbins = nbins_sig if nbins_sig == nbins_bkg else -1 #print nbins if nbins < 0.0: sys.exit("Error: nbins_sig != nbins_bkg") min_val = h_sig.GetXaxis().GetXmin() max_val = h_sig.GetXaxis().GetXmax() step = float(max_val - min_val)/(nbins-1) sig_eff = array('f', []) bkg_rej = array('f', []) total_sig = h_sig.Integral() total_bkg = h_bkg.Integral() print total_sig print total_bkg sig_rejected = 0.0 bkg_rejected = 0.0 for i in xrange_bins(nbins): sig_rejected += h_sig.GetBinContent(i) #print sig_rejected bkg_rejected += h_bkg.GetBinContent(i) #print bkg_rejected seff = float(total_sig-sig_rejected)/total_sig brej = float(bkg_rejected)/total_bkg #print seff, brej sig_eff.append(seff) bkg_rej.append(brej) if verbose == 1: bdt_score = min_val + i * step print "bdt score =", bdt_score, "sig_eff =", seff #bin_sig = h_sig.GetBinContent() print "Overflow =", h_sig.GetBinContent(nbins_sig+1) print "Underflow =", h_sig.GetBinContent(0) g = ROOT.TGraph(nbins, sig_eff, bkg_rej) g.GetXaxis().SetRangeUser(0.0,1.0) g.GetYaxis().SetRangeUser(0.0,1.0) #g.Draw("AC") #g.SetLineColor(ROOT.kRed) g.SetTitle("ROC curve") return g #print nbins_bkg def column_or_1d(y): shape = np.shape(y) if len(shape) == 1: return np.ravely(y) if len(shape) == 2 and shape[1] == 1: return np.ravel(y) def roc_curve_sk(y_test, sk_y_predicted, step = 0.001): pos_label = 1 # prompt lepton neg_label = 0 # non-prompt lepton y_test = column_or_1d(y_test) assert y_test.size == sk_y_predicted.size, "Error: len(y_test) != len(sk_y_predicted)" assert np.unique(y_test).size == 2, "Error: number of classes is %i. Expected 2 classes only." % np.unique(y_test).size # calculate number of prompt and non-prompt leptons num_prompts = np.sum(y_test == pos_label) num_nonprompts = y_test.size - num_prompts # array of probability cut values # minimum probability is 0, maximum is one, # and step is defind above cuts = np.arange(0, 1, step) tpr = [] fpr = [] for cut in cuts: prompts_passed = 0 nonprompts_passed = 0 indxs = np.where(sk_y_predicted >= cut) y_test_passed = np.take(y_test, indxs) prompts_passed = np.sum(y_test_passed == pos_label) nonprompts_passed = np.sum(y_test_passed == neg_label) tpr.append(float(prompts_passed)/num_prompts) fpr.append(float(nonprompts_passed)/num_nonprompts) return np.array(fpr), np.array(tpr), 0 if __name__ == "__main__": path = "/Users/musthero/Documents/Yura/Applications/tmva_local/BDT_score_distributions_electrons.root" histo_sk_sig = "histo_sk_sig" histo_sk_bkg = "histo_sk_bkg" rootfile = ROOT.TFile.Open(path) if rootfile.IsZombie(): print "Root file is corrupt" h_sig = rootfile.Get(histo_sk_sig) h_bkg = rootfile.Get(histo_sk_bkg) g = build_roc(h_sig, h_bkg) ll = [g] g.Draw("AL") # draw TGraph with no marker dots

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py

Python

homeassistant/components/senz/const.py

jlmaners/core

9d016dd4346ec776da40f816764a5be441e34a3b

[ "Apache-2.0" ]

30,023

2016-04-13T10:17:53.000Z

2020-03-02T12:56:31.000Z

homeassistant/components/senz/const.py

jlmaners/core

9d016dd4346ec776da40f816764a5be441e34a3b

[ "Apache-2.0" ]

24,710

2016-04-13T08:27:26.000Z

2020-03-02T12:59:13.000Z

homeassistant/components/senz/const.py

jlmaners/core

9d016dd4346ec776da40f816764a5be441e34a3b

[ "Apache-2.0" ]

11,956

2016-04-13T18:42:31.000Z

2020-03-02T09:32:12.000Z

"""Constants for the nVent RAYCHEM SENZ integration.""" DOMAIN = "senz"

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py

Python

src/py42/clients/orgs.py

unparalleled-js/py42

8c6b054ddd8c2bfea92bf77b0d648af76f1efcf1

[ "MIT" ]

1

2020-08-18T22:00:22.000Z

src/py42/clients/orgs.py

unparalleled-js/py42

8c6b054ddd8c2bfea92bf77b0d648af76f1efcf1

[ "MIT" ]

null

src/py42/clients/orgs.py

unparalleled-js/py42

8c6b054ddd8c2bfea92bf77b0d648af76f1efcf1

[ "MIT" ]

1

2021-05-10T23:33:34.000Z

import json from py42 import settings from py42.clients import BaseClient from py42.clients.util import get_all_pages class OrgClient(BaseClient): """A client for interacting with Code42 organization APIs. Use the OrgClient to create and retrieve organizations. You can also use it to block and deactivate organizations. """ def create_org(self, org_name, org_ext_ref=None, notes=None, parent_org_uid=None): """Creates a new organization. `REST Documentation <https://console.us.code42.com/apidocviewer/#Org-post>`__ Args: org_name (str): The name of the new organization. org_ext_ref (str, optional): External reference information, such as a serial number, asset tag, employee ID, or help desk issue ID. Defaults to None. notes (str, optional): Descriptive information about the organization. Defaults to None. parent_org_uid (int, optional): The org UID for the parent organization. Defaults to None. Returns: :class:`py42.response.Py42Response` """ uri = u"/api/Org/" data = { u"orgName": org_name, u"orgExtRef": org_ext_ref, u"notes": notes, u"parentOrgUid": parent_org_uid, } return self._session.post(uri, data=json.dumps(data)) def get_by_id(self, org_id, **kwargs): """Gets the organization with the given ID. `REST Documentation <https://console.us.code42.com/apidocviewer/#Org-get>`__ Args: org_id (int): An ID for an organization. Returns: :class:`py42.response.Py42Response`: A response containing the organization. """ uri = u"/api/Org/{}".format(org_id) return self._session.get(uri, params=kwargs) def get_by_uid(self, org_uid, **kwargs): """Gets the organization with the given UID. `REST Documentation <https://console.us.code42.com/apidocviewer/#Org-get>`__ Args: org_uid (str): A UID for an organization. Returns: :class:`py42.response.Py42Response`: A response containing the organization. """ uri = u"/api/Org/{}".format(org_uid) params = dict(idType=u"orgUid", **kwargs) return self._session.get(uri, params=params) def get_page(self, page_num, page_size=None, **kwargs): """Gets an individual page of organizations. `REST Documentation <https://console.us.code42.com/apidocviewer/#Org-get>`__ Args: page_num (int): The page number to request. page_size (int, optional): The number of organizations to return per page. Defaults to `py42.settings.items_per_page`. kwargs (dict, optional): Additional advanced-user arguments. Defaults to None. Returns: :class:`py42.response.Py42Response` """ page_size = page_size or settings.items_per_page uri = u"/api/Org" params = dict(pgNum=page_num, pgSize=page_size, **kwargs) return self._session.get(uri, params=params) def get_all(self, **kwargs): """Gets all organizations. `REST Documentation <https://console.us.code42.com/apidocviewer/#Org-get>`__ Returns: generator: An object that iterates over :class:`py42.response.Py42Response` objects that each contain a page of organizations. """ return get_all_pages(self.get_page, u"orgs", **kwargs) def block(self, org_id): """Blocks the organization with the given org ID as well as its child organizations. A blocked organization will not allow any of its users or devices to log in. New registrations will be rejected and all currently logged in clients will be logged out. Backups continue for any devices that are still active. `Rest Documentation <https://console.us.code42.com/apidocviewer/#OrgBlock-put>`__ Args: org_id (int): An ID for an organization. Returns: :class:`py42.response.Py42Response` """ uri = u"/api/OrgBlock/{}".format(org_id) return self._session.put(uri) def unblock(self, org_id): """Removes a block, if one exists, on an organization and its descendants with the given ID. All users in the organization remain blocked until they are unblocked individually. `REST Documentation <https://console.us.code42.com/apidocviewer/#OrgBlock-delete>`__ Args: org_id (int): An ID for an organization. Returns: :class:`py42.response.Py42Response` """ uri = u"/api/OrgBlock/{}".format(org_id) return self._session.delete(uri) def deactivate(self, org_id): """Deactivates the organization with the given ID, including all users, plans, and devices. Backups stop and archives move to cold storage. `REST Documentation <https://console.us.code42.com/apidocviewer/#OrgDeactivation-put>`__ Args: org_id (int): An ID for an organization. Returns: :class:`py42.response.Py42Response` """ uri = u"/api/OrgDeactivation/{}".format(org_id) return self._session.put(uri) def reactivate(self, org_id): """Reactivates the organization with the given ID. Backups are *not* restarted automatically. `REST Documentation <https://console.us.code42.com/apidocviewer/#OrgDeactivation-delete>`__ Args: org_id (int): An ID for an organization. Returns: :class:`py42.response.Py42Response` """ uri = u"/api/OrgDeactivation/{}".format(org_id) return self._session.delete(uri) def get_current(self, **kwargs): """Gets the organization for the currently signed-in user. `REST Documentation <https://console.us.code42.com/apidocviewer/#Org-get>`__ Returns: :class:`py42.response.Py42Response`: A response containing the organization for the currently signed-in user. """ uri = u"/api/Org/my" return self._session.get(uri, params=kwargs) def get_agent_state(self, orgId, property_name): """Gets the agent state of the devices in the org. `REST Documentation <https://console.us.code42.com/swagger/index.html?urls.primaryName=v14#/agent-state/AgentState_ViewByDeviceGuid>`__ Args: orgId (str): The org's identifier. property_name (str): The name of the property to retrieve (e.g. `fullDiskAccess`). Returns: :class:`py42.response.Py42Response`: A response containing settings information. """ uri = u"/api/v14/agent-state/view-by-organization-id" params = {u"orgId": orgId, u"propertyName": property_name} return self._session.get(uri, params=params) def get_agent_full_disk_access_states(self, guid): """Gets the full disk access status for devices in an org. `REST Documentation <https://console.us.code42.com/swagger/index.html?urls.primaryName=v14#/agent-state/AgentState_ViewByDeviceGuid>`__ Args: orgId (str): The org's identifier. Returns: :class:`py42.response.Py42Response`: A response containing settings information. """ return self.get_agent_state(guid, u"fullDiskAccess")

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py

Python

9.py

manuelsousa7/ia-labs

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[ "MIT" ]

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9.py

manuelsousa7/ia-labs

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null

9.py

manuelsousa7/ia-labs

81a7cda3478e174ca2c9dad40b4ef68471931004

[ "MIT" ]

null

def Agente_corredor_ex_9(): def __init__(self): self.cur = 1 def invoca(self): pos = 0 if pos == 0: if(self.cur == 0): return "fica parado" if(self.cur > pos and self.cur > 1): self.cur = self.cur - 1 return "andar-" if(self.cur < pos and self.cur < 8): self.cur = self.cur + 1 return "andar+" return "" asd = Agente_corredor_ex_9()

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null

1

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1

0

null

0

2

b07ff0f4df821323ec4de2bef89169f8ba5dfd61

365

py

Python

mmdet/models/recognizer/__init__.py

liangxiaoyun/mmdetection-1.1.0-pse-sar

d4f80368949ba74dad13d0a4744a53c82f89577d

[ "Apache-2.0" ]

null

mmdet/models/recognizer/__init__.py

liangxiaoyun/mmdetection-1.1.0-pse-sar

d4f80368949ba74dad13d0a4744a53c82f89577d

[ "Apache-2.0" ]

1

2021-05-25T07:16:12.000Z

2021-09-01T07:35:01.000Z

mmdet/models/recognizer/__init__.py

liangxiaoyun/mmdetection-1.1.0-pse-sar

d4f80368949ba74dad13d0a4744a53c82f89577d

[ "Apache-2.0" ]

null

from .base import BaseRecognizer from .decoder import Decoder from .encoder import Encoder from .sar import SAR from .sar_resnet import SAR_ResNet, BasicBlock from .str_lable_converter_for_attention import strLabelConverterForAttention __all__ = [ 'BaseRecognizer', 'Decoder', 'Encoder', 'SAR', 'strLabelConverterForAttention', 'BasicBlock', 'SAR_ResNet' ]

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null

0

1

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1

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2

b08646958e478b3ea9759f646bf21bc6c9578d01

3,367

py

Python

chainer_graphics/image/warp.py

Idein/chainer-graphics

3646fd961003297ff7e3f5efb71360c16d5eb9f5

[ "MIT" ]

3

2019-07-01T04:38:50.000Z

2021-12-03T06:22:58.000Z

chainer_graphics/image/warp.py

Idein/chainer-graphics

3646fd961003297ff7e3f5efb71360c16d5eb9f5

[ "MIT" ]

null

chainer_graphics/image/warp.py

Idein/chainer-graphics

3646fd961003297ff7e3f5efb71360c16d5eb9f5

[ "MIT" ]

1

2021-12-03T06:22:59.000Z

from chainer import backend import chainer.functions as F from chainer_graphics.image import * def affine(A, t, x): """Compute Ax+t Args: A (:class `~chainer.Variable` or :ref:`ndarray`): A 3-D array of shape `(B, M, M)` t (:class `~chainer.Variable` or :ref:`ndarray`): A 2-D array of shape `(B, M)` x (:class `~chainer.Variable` or :ref:`ndarray`): A 2-D array of shape `(B, M, N)` Returns: ~chainer.Variable: A 2-D array of shape `(B, M, N)` """ return A @ x + F.expand_dims(t, axis=2) def inverse_affine(A, t, x): """Compute A^-1(x-t) Args: A (:class `~chainer.Variable` or :ref:`ndarray`): A 3-D array of shape `(B, M, M)` t (:class `~chainer.Variable` or :ref:`ndarray`): A 2-D array of shape `(B, M)` x (:class `~chainer.Variable` or :ref:`ndarray`): A 2-D array of shape `(B, M, N)` Returns: ~chainer.Variable: A 2-D array of shape `(B, M, N)` """ return F.batch_inv(A) @ (x - F.expand_dims(t, axis=2)) def warp_dense(image, ps): """Dense image warping Args: image (:class `~chainer.Variable` or :ref:`ndarray`): A 4-D array of shape `(B, C, H, W)`. ps (:class `~chainer.Variable` or :ref:`ndarray`): A 4-D array of shape `(B, 2, H, W)` Pixel coordinates in source images. Returns: ~chainer.Variable: Warped image. A 4-D array of shape `(B, C, H, W)`. """ xp = backend.get_array_module(image) B, _, H, W = image.shape ps = 2 * ps / xp.array([W-1, H-1]).reshape(-1, 2, 1, 1) - 1 ps = ps.reshape(B, 2, H, W) return F.spatial_transformer_sampler(image, ps) def warp_affine(image, mat): """Warp images with affine transformation Args: image (:class `~chainer.Variable` or :ref:`ndarray`): A 4-D array of shape `(B, C, H, W)`. mat (:class `~chainer.Variable` or :ref:`ndarray`): Affine transformation matrices [[a, b, tx], [c, d, ty]]. A 3-D array of shape `(B, 2, 3)`. Returns: ~chainer.Variable: Warped image. A 4-D array of shape `(B, C, H, W)`. """ xp = backend.get_array_module(image) B, _, H, W = image.shape ps1 = pixel_coords(xp, H, W, mat.dtype).reshape(1, 2, -1) ps0 = inverse_affine(mat[:, :, :2], mat[:, :, 2], ps1) return warp_dense(image, ps0.reshape(1, 2, H, W)) def warp_perspective(image, mat): """Warp images with perspective transformation Args: image (:class `~chainer.Variable` or :ref:`ndarray`): A 4-D array of shape `(B, C, H, W)`. mat (:class `~chainer.Variable` or :ref:`ndarray`): Perspective transformaion matrices. A 3-D array of shape `(B, 3, 3)`. Returns: ~chainer.Variable: Warped image. A 4-D array of shape `(B, C, H, W)`. """ xp = backend.get_array_module(image) B, _, H, W = image.shape ps1 = pixel_coords(xp, H, W, mat.dtype).reshape(1, 2, -1) num = affine(mat[:,:2,:2], mat[:,:2,2], ps1) denom = affine(mat[:,2,:2].reshape(-1, 1, 2), mat[:,2,2].reshape(-1, 1), ps1) ps0 = num / denom return warp_dense(image, ps0.reshape(1, 2, H, W))

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null

0

1

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1

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null

0

2

b08e28184309528059d04d9b444f7192dc24209c

396

py

Python

Data Preparetion/1.3 Metrics Module/A.3.14.1.roc_auc_togther.py

mosalaheg/sklearn

d275bdfaf0db4b01f45231889a37a8e004e2f77c

[ "MIT" ]

null

Data Preparetion/1.3 Metrics Module/A.3.14.1.roc_auc_togther.py

mosalaheg/sklearn

d275bdfaf0db4b01f45231889a37a8e004e2f77c

[ "MIT" ]

null

Data Preparetion/1.3 Metrics Module/A.3.14.1.roc_auc_togther.py

mosalaheg/sklearn

d275bdfaf0db4b01f45231889a37a8e004e2f77c

[ "MIT" ]

null

# Import Libraries from sklearn.metrics import roc_auc_score #---------------------------------------------------- # Calculating ROC AUC Score together in the same statement: # roc_auc_score(y_true, y_score, average=’macro’, sample_weight=None,max_fpr=None) ROCAUCScore = roc_auc_score(y_test,y_pred, average='micro') #it can be : macro,weighted,samples #print('ROCAUC Score : ', ROCAUCScore)

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null

0

1

0

null

0

1

0

2

b0908c633f0709f6002f5e1414100bb8b82462ba

3,494

py

Python

scripts/mkcpio.py

comptuzus/alchemy

4e9423193422d212b718c0f95dc31e2fc6d004a3

[ "BSD-3-Clause" ]

17

2015-11-06T10:00:04.000Z

2021-11-14T03:43:29.000Z

scripts/mkcpio.py

comptuzus/alchemy

4e9423193422d212b718c0f95dc31e2fc6d004a3

[ "BSD-3-Clause" ]

5

2015-11-06T09:59:20.000Z

2021-10-04T07:42:50.000Z

scripts/mkcpio.py

comptuzus/alchemy

4e9423193422d212b718c0f95dc31e2fc6d004a3

[ "BSD-3-Clause" ]

20

2015-11-03T06:12:49.000Z

2021-07-07T21:43:22.000Z

#=============================================================================== # Generate a file system image in 'cpio' format. #=============================================================================== import os import stat #=============================================================================== #=============================================================================== class Cpio(object): def __init__(self, fout): self.writeLen = 0 self.inode = 0 self.fout = fout def align4(self): for _ in range(0, (4 - self.writeLen % 4) % 4): self.fout.write(b"\0") self.writeLen += 1 def align512(self): for _ in range(0, (512 - self.writeLen % 512) % 512): self.fout.write(b"\0") self.writeLen += 1 def write(self, buf): self.fout.write(buf) self.writeLen += len(buf) def writeHeader(self, entry): buf = ("%s%08x%08x%08x%08x%08x%08x%08x%08x%08x%08x%08x%08x%08x" % ( "070701", self.inode, entry.st.st_mode, entry.st.st_uid, entry.st.st_gid, 1, int(entry.st.st_mtime), entry.dataSize, 0, 0, os.major(entry.st.st_dev), os.minor(entry.st.st_dev), len(entry.filePath) + 1, 0)) self.write(buf.encode("UTF-8")) self.write((entry.filePath + "\0").encode("UTF-8")) self.align4() self.inode += 1 def writeTrailer(self): filePath = "TRAILER!!!" buf = ("%s%08x%08x%08x%08x%08x%08x%08x%08x%08x%08x%08x%08x%08x" % ( "070701", self.inode, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, len(filePath) + 1, 0)) self.write(buf.encode("UTF-8")) self.write((filePath + "\0").encode("UTF-8")) self.align512() self.inode += 1 #=============================================================================== #=============================================================================== def processTree(cpio, tree): for child in tree.children.values(): if stat.S_IFMT(child.st.st_mode) == stat.S_IFDIR: # No data, only header, do recursion cpio.writeHeader(child) processTree(cpio, child) elif stat.S_IFMT(child.st.st_mode) == stat.S_IFREG: # Write file header and file content cpio.writeHeader(child) cpio.write(child.getData()) cpio.align4() elif stat.S_IFMT(child.st.st_mode) == stat.S_IFLNK: # Data is link target cpio.writeHeader(child) cpio.write(child.getData()) cpio.align4() elif stat.S_IFMT(child.st.st_mode) == stat.S_IFBLK: # No data, only header cpio.writeHeader(child) elif stat.S_IFMT(child.st.st_mode) == stat.S_IFCHR: # No data, only header cpio.writeHeader(child) #=============================================================================== #=============================================================================== def genImage(image, root): cpio = Cpio(image.fout) processTree(cpio, root) cpio.writeTrailer()

34.254902

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3,494

3.933718

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0.105495

0.145055

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0.38315

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0.059198

0.040465

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false

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0

null

0

1

0

1

0

null

0

2

b0bdd8302542f715c9fdd53b53ab2d4c294af373

300

py

Python

2019-08-10/08/zad8_Maria.py

SzczecinTech/zadania-rekrutacyjne

fad5d7a6ab7ae77e567610c56fbbcd4a38f8b2c2

[ "MIT" ]

1

2019-09-05T20:35:07.000Z

2019-08-10/08/zad8_Maria.py

SzczecinTech/zadania-rekrutacyjne

fad5d7a6ab7ae77e567610c56fbbcd4a38f8b2c2

[ "MIT" ]

1

2020-03-20T15:27:10.000Z

2019-08-10/08/zad8_Maria.py

SzczecinTech/zadania-rekrutacyjne

fad5d7a6ab7ae77e567610c56fbbcd4a38f8b2c2

[ "MIT" ]

10

2019-08-10T08:26:09.000Z

2019-08-15T13:50:48.000Z

import re def is_palindrome(arg): string = str(arg) re.compile('([^\w])') string = re.sub('([^\w])', '', string).lower() return reverse(string) == string def reverse(string): string = string[::-1] return string print(is_palindrome('kajak')) print(is_palindrome('Kajak, kajak'))

20

48

0.63

39

300

4.769231

0.435897

0.193548

0.204301

0.236559

0

0.003984

0.163333

300

14

49

21.428571

0.737052

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0.103333

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false

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0.454545

0.181818

0

null

0

1

0

null

0

2

b0c908495552632d6217bd5dee2235f82f8f74cb

224

py

Python

webServer/input_DB.py

CSID-DGU/2021-2-OSSP2-Coconut-1

d910af8760ee5b8e29f3bde61a0695656deadd9d

[ "MIT" ]

null

webServer/input_DB.py

CSID-DGU/2021-2-OSSP2-Coconut-1

d910af8760ee5b8e29f3bde61a0695656deadd9d

[ "MIT" ]

null

webServer/input_DB.py

CSID-DGU/2021-2-OSSP2-Coconut-1

d910af8760ee5b8e29f3bde61a0695656deadd9d

[ "MIT" ]

null

import pandas as pd data = pd.read_csv("./2021-2-OSSP2-Coconut-1/algorithm/matrix_231x201.csv") for row in range(len(data)): for col in range(len(data.iloc[0])-2): len(data.iloc[row]) print(data.iloc[0,1])

24.888889

75

0.665179

41

224

3.585366

0.585366

0.142857

0.136054

0.190476

0

0.089947

0.15625

224

9

76

24.888889

0.687831

0

0.235556

0

1

0

false

0

0.166667

0

0.166667

0

null

0

1

0

1

0

null

0

2

b0d33894d5d22c28cd9b48a75c6ac91817248637

1,190

py

Python

auth_service/entities/user.py

rahungria/clean_arquitecture_auth

1d0276c2fd5b83705805dfe33f6781dde3bc064a

[ "MIT" ]

1

2022-03-11T21:33:36.000Z

auth_service/entities/user.py

rahungria/clean_arquitecture_auth

1d0276c2fd5b83705805dfe33f6781dde3bc064a

[ "MIT" ]

null

auth_service/entities/user.py

rahungria/clean_arquitecture_auth

1d0276c2fd5b83705805dfe33f6781dde3bc064a

[ "MIT" ]

null

from datetime import datetime class User: ''' User model name -- string password -- hashed hex (bytes) created -- time of creation last_access -- last time of any use_case by user ''' def __init__( self, username: str, password: bytes, created: datetime, last_access: datetime ): self.username = username self.password = password self.created = created self.last_access = last_access self.validate() # TODO validate def validate(self): pass def to_dict(self): return dict( username=self.username, created=self.created.timestamp(), last_access=self.last_access.timestamp() ) def build_make_user(): ''' Injects dependencies (in kwargs) into user model factory ''' def make_user( username: str, password: bytes, created: datetime, last_access: datetime ) -> User: return User( username=username, password=password, created=created, last_access=last_access ) return make_user

20.517241

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0.565546

121

1,190

5.404959

0.347107

0.137615

0.06422

0.073395

0.174312

0

0.355462

1,190

57

61

20.877193

0.852673

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0.111111

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false

0.138889

0.027778

0.055556

0.277778

0

null

0

null

0

1

0

1

0

2

9fd3402e164c4c99693bbf3c5e5f4252e5113069

480

py

Python

app/__init__.py

pedroermarinho/Dominik

3be83039f4622c52ee43e5f1e6ea277d4c0fb484

[ "MIT" ]

null

app/__init__.py

pedroermarinho/Dominik

3be83039f4622c52ee43e5f1e6ea277d4c0fb484

[ "MIT" ]

null

app/__init__.py

pedroermarinho/Dominik

3be83039f4622c52ee43e5f1e6ea277d4c0fb484

[ "MIT" ]

null

# -*- coding:utf-8 -*- from flask import Flask from app.modules import init_app from app.controllers.database import init_db from app.modules.chat_bot import init_chat_bot from app.modules.arduino import init_arduino from app.modules.services import init_services def create_app(): app: Flask = Flask(__name__) app.config.from_object('configFlask') init_db(app) init_app(app) init_services(app) init_chat_bot(app) init_arduino(app) return app

22.857143

46

0.75

73

480

4.671233

0.315068

0.102639

0.164223

0

0.002494

0.164583

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47

24

0.84788

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true

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0

null

0

null

0

1

0

1

0

2

9fe625f50dffc1408e4e691f6448288f446c9cf1

1,112

py

Python

robot/migrations/0011_auto_20200105_1702.py

Misschl/wechat

8ce76dae32b1086bb83ee6e3fe64cf84845012c0

[ "Apache-2.0" ]

1

2020-01-07T06:51:19.000Z

robot/migrations/0011_auto_20200105_1702.py

Misschl/wechat

8ce76dae32b1086bb83ee6e3fe64cf84845012c0

[ "Apache-2.0" ]

null

robot/migrations/0011_auto_20200105_1702.py

Misschl/wechat

8ce76dae32b1086bb83ee6e3fe64cf84845012c0

[ "Apache-2.0" ]

null

# Generated by Django 2.1.5 on 2020-01-05 17:02 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('robot', '0010_auto_20200105_1342'), ] operations = [ migrations.AlterModelOptions( name='appmodel', options={'verbose_name': '对接应用', 'verbose_name_plural': '对接应用'}, ), migrations.AlterField( model_name='message', name='is_at', field=models.BooleanField(default=False, null=True), ), migrations.AlterField( model_name='wxuser', name='friend', field=models.BooleanField(null=True, verbose_name='我的好友'), ), migrations.AlterField( model_name='wxuser', name='is_friend', field=models.BooleanField(null=True, verbose_name='和我有好友关系'), ), migrations.AlterField( model_name='wxuser', name='puid', field=models.CharField(help_text='微信用户的外键', max_length=15, primary_key=True, serialize=False), ), ]

29.263158

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1,112

5.75

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0.161031

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0.342995

0.154589

0

0.042471

0.301259

1,112

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107

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1

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0.021596

0

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0

null

0

1

0

1

0

null

0

2

b000d7e32a3360c54c1b81b0de380d94f4b300e6

128

py

Python

Mundos/Mundo 1/Aulas/Aula 7/ex05.py

NicolasdeLimaAlves/Curso-de-Python

4987a2c8075a76f676aa69bfd968fdf8d1c7fa52

[ "MIT" ]

null

Mundos/Mundo 1/Aulas/Aula 7/ex05.py

NicolasdeLimaAlves/Curso-de-Python

4987a2c8075a76f676aa69bfd968fdf8d1c7fa52

[ "MIT" ]

null

Mundos/Mundo 1/Aulas/Aula 7/ex05.py

NicolasdeLimaAlves/Curso-de-Python

4987a2c8075a76f676aa69bfd968fdf8d1c7fa52

[ "MIT" ]

null

nu = int(input('Digite um número: ')) an = nu - 1 su = nu + 1 print('O sucessor de {} é {} e o\nsucessor é {}'.format(nu,an,su))

32

66

0.585938

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128

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0.195313

128

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66

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1

0

null

0

1

0

null

0

2

b003f0adb7332186a94fe1cb096faeb8062e78b6

2,773

py

Python

dayu_ffmpeg/network/node/codec.py

phenom-films/dayu_ffmpeg

981c00ff3354c881d2cef8ae5e5b9f1880bc9a36

[ "MIT" ]

31

2018-10-11T07:44:15.000Z

2022-03-30T19:36:08.000Z

dayu_ffmpeg/network/node/codec.py

phenom-films/dayu_ffmpeg

981c00ff3354c881d2cef8ae5e5b9f1880bc9a36

[ "MIT" ]

6

2019-03-22T02:43:12.000Z

2019-11-20T14:43:28.000Z

dayu_ffmpeg/network/node/codec.py

phenom-films/dayu_ffmpeg

981c00ff3354c881d2cef8ae5e5b9f1880bc9a36

[ "MIT" ]

12

2019-01-07T09:13:04.000Z

2022-02-16T13:42:37.000Z

#!/usr/bin/env python # -*- encoding: utf-8 -*- __author__ = 'andyguo' from base import BaseNode from dayu_ffmpeg.config import CODEC_ORDER_SCORE class BaseCodecNode(BaseNode): type = 'base_code_node' order_score = CODEC_ORDER_SCORE def simple_cmd_string(self): return self.type def complex_cmd_string(self): return '{stream_in}{cmd}{stream_out}'.format( stream_in=''.join(['[{}]'.format(x) for x in self.stream_in_num]), cmd=self.simple_cmd_string(), stream_out='[{}]'.format(self.stream_out_num)) class Codec(BaseCodecNode): type = 'codec' def __init__(self, video='prores_ks', audio=None, **kwargs): self.video = video self.audio = audio super(Codec, self).__init__(**kwargs) def simple_cmd_string(self): self._cmd = u'-codec:v {video}'.format(video=self.video) if self.audio: self._cmd += u' -codec:a {audio}'.format(audio=self.audio) return self._cmd def complex_cmd_string(self): return '{cmd}'.format( stream_in=''.join(['[{}]'.format(x) for x in self.stream_in_num]), cmd=self.simple_cmd_string(), stream_out='[{}]'.format(self.stream_out_num)) class WriteTimecode(BaseCodecNode): type = 'timecode' def __init__(self, timecode=None, **kwargs): self.timecode = timecode super(WriteTimecode, self).__init__(**kwargs) def simple_cmd_string(self): self._cmd = u'-timecode {tc}'.format(tc=self.timecode) return self._cmd class WriteReel(BaseCodecNode): type = 'metadata' def __init__(self, reel=None, **kwargs): self.reel = reel super(WriteReel, self).__init__(**kwargs) def simple_cmd_string(self): self._cmd = u'-metadata:s:v:0 reel_name={reel}'.format(reel=self.reel) return self._cmd class Quality(BaseCodecNode): _name = 'qscale' def __init__(self, qscale=2, **kwargs): self.qscale = qscale super(Quality, self).__init__(**kwargs) def simple_cmd_string(self): self._cmd = u'-qscale:v {qscale}'.format(qscale=self.qscale) if self.qscale else u'' return self._cmd class PixelFormat(BaseCodecNode): type = 'pix_fmt' def __init__(self, pixel_format='yuv422p10le', profile=2, **kwargs): self.pixel_format = pixel_format self.profile = profile super(PixelFormat, self).__init__(**kwargs) def simple_cmd_string(self): self._cmd = u'{pix}{profile}'.format( pix='-pix_fmt {}'.format(self.pixel_format) if self.pixel_format else '', profile=' -profile:v {}'.format(self.profile) if self.profile else '') return self._cmd

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0.627119

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0.201149

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0.073529

0.066176

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2,773

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null

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null

0

1

0

1

0

2

b0041e9cd05d1f7d1d72e22934e2919b7e364887

1,900

py

Python

src/app/forms.py

deadlock-delegate/arkdelegates

8a5262f51b519ba3bc10094756c8866fc550df65

[ "MIT" ]

2

2018-05-22T13:47:09.000Z

2018-05-23T12:45:05.000Z

src/app/forms.py

deadlock-delegate/arkdelegates

8a5262f51b519ba3bc10094756c8866fc550df65

[ "MIT" ]

21

2018-05-08T12:56:46.000Z

2020-06-05T18:59:38.000Z

src/app/forms.py

deadlock-delegate/arkdelegates

8a5262f51b519ba3bc10094756c8866fc550df65

[ "MIT" ]

4

2018-05-04T15:00:59.000Z

2019-02-13T02:39:07.000Z

import json from django import forms from django.contrib.auth import password_validation from django.core.validators import validate_email from app.models import Contribution, Delegate, Node, StatusUpdate class ClaimAccountForm(forms.Form): message_json = forms.CharField(widget=forms.Textarea(attrs={"rows": 2})) email = forms.CharField(widget=forms.EmailInput) password = forms.CharField(widget=forms.PasswordInput) def clean_email(self): email = self.cleaned_data.get("email") validate_email(email) return email def clean_password(self): password = self.cleaned_data.get("password") password_validation.validate_password(password) return password def clean_message_json(self): data = self.cleaned_data["message_json"] try: json_data = json.loads(data) except: # noqa raise forms.ValidationError("Invalid data") if not (json_data.get("message") and json_data.get("signature")): raise forms.ValidationError("JSON does not have an expected structure") return json_data class LoginForm(forms.Form): email = forms.CharField(widget=forms.EmailInput) password = forms.CharField(widget=forms.PasswordInput) def clean_email(self): email = self.cleaned_data.get("email") validate_email(email) return email class ContributionForm(forms.ModelForm): class Meta: model = Contribution fields = ["title", "description"] class NodeForm(forms.ModelForm): class Meta: model = Node fields = ["network", "cpu", "memory", "is_dedicated", "is_backup"] class ProposalForm(forms.ModelForm): class Meta: model = Delegate fields = ["proposal"] class StatusUpdateForm(forms.ModelForm): class Meta: model = StatusUpdate fields = ["message"]

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1,900

5.957547

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0.000678

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1,900

69

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0.142857

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null

0

null

0

1

0

1

0

2

b0106280867ea69e20fdcb60880b704341cadc13

495

py

Python

js_rss_feed/cms_apps.py

compoundpartners/js-rss-feed

5dc5184e907008de73b1244b6d5e6443d775f4c0

[ "BSD-3-Clause" ]

null

js_rss_feed/cms_apps.py

compoundpartners/js-rss-feed

5dc5184e907008de73b1244b6d5e6443d775f4c0

[ "BSD-3-Clause" ]

null

js_rss_feed/cms_apps.py

compoundpartners/js-rss-feed

5dc5184e907008de73b1244b6d5e6443d775f4c0

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- from __future__ import unicode_literals from aldryn_apphooks_config.app_base import CMSConfigApp from cms.apphook_pool import apphook_pool from django.utils.translation import ugettext_lazy as _ from .cms_appconfig import RSSFeedConfig class RSSFeedApp(CMSConfigApp): name = _('RSS Feed') app_name = 'js_rss_feed' app_config = RSSFeedConfig def get_urls(self, *args, **kwargs): return ['js_rss_feed.urls'] apphook_pool.register(RSSFeedApp)

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24.75

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0.416667

0.083333

0.916667

0

null

0

null

0

1

0

1

0

2

b012ad0c971c267943ac3d2a61abc9a5cd4191c0

1,264

py

Python

tests/test_headers.py

gezpage/chocs

cf64a792989e3f23dc7f400045898761511a229a

[ "MIT" ]

null

tests/test_headers.py

gezpage/chocs

cf64a792989e3f23dc7f400045898761511a229a

[ "MIT" ]

null

tests/test_headers.py

gezpage/chocs

cf64a792989e3f23dc7f400045898761511a229a

[ "MIT" ]

null

import pytest from chocs.headers import Headers def test_can_instantiate(): headers = Headers() assert isinstance(headers, Headers) def test_normalize_wsgi_headers(): headers = Headers({"HTTP_USER_AGENT": "Test Agent", "HTTP_ACCEPT": "plain/text"}) assert headers["User-Agent"] == "Test Agent" assert headers["HTTP_USER_AGENT"] == "Test Agent" assert headers["USER_AGENT"] == "Test Agent" assert headers["USER-AGENT"] == "Test Agent" assert headers.get("User-Agent") == "Test Agent" def test_add_header(): headers = Headers() headers.set("USER_AGENT", "Test Agent") assert headers["HTTP_USER_AGENT"] == "Test Agent" assert headers["USER_AGENT"] == "Test Agent" assert headers["USER-AGENT"] == "Test Agent" assert headers.get("User-Agent") == "Test Agent" def test_non_unique_headers(): headers = Headers() headers.set("Set-Cookie", "123") headers.set("Set-Cookie", "456") headers.set("Set-Cookie", "789") assert headers["Set-Cookie"] == [ "123", "456", "789", ] # test items view assert [(key, value) for key, value in headers.items()] == [ ("set-cookie", "123"), ("set-cookie", "456"), ("set-cookie", "789"), ]

26.333333

85

0.61788

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1,264

4.973856

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0.130092

0.187911

0.260184

0.465177

0.42707

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1,264

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0.736948

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0.176471

0

null

0

1

0

null

0

2

b016d60c38d3c0a566ff51537431da767f666349

918

py

Python

pipeline/schemas/friend_invite.py

mystic-ai/pipeline

487c5e755a862a12c90572b0eff170853ecb3790

[ "Apache-2.0" ]

7

2022-01-28T20:27:50.000Z

2022-02-22T15:30:00.000Z

pipeline/schemas/friend_invite.py

mystic-ai/pipeline

487c5e755a862a12c90572b0eff170853ecb3790

[ "Apache-2.0" ]

17

2022-01-11T12:05:38.000Z

2022-03-25T15:29:43.000Z

pipeline/schemas/friend_invite.py

neuro-ai-dev/pipeline

c7edcc83576158062fe48f266dfaea62d754e761

[ "Apache-2.0" ]

null

from enum import Enum from .base import BaseModel class FriendInviteStatus(Enum): CREATED = "created" #: Friend has accepted the invite ACCEPTED = "accepted" #: The friend is still under trial period TRIAL = "trial" #: Cycle complete, the inviter has been credited COMPLETE = "complete" class FriendInviteBase(BaseModel): #: The ID of the User who sent the invite inviter_id: str #: The email the invite is to be sent to invitee_email: str class FriendInviteCreate(FriendInviteBase): """Create an invitation for a friend to join""" pass class FriendInviteGet(FriendInviteBase): """View of an invitation for a friend to join""" #: The ID of this invite id: str #: The status of the invite status: FriendInviteStatus class FriendInvitePatch(BaseModel): """Patch the status of a friend invitation""" status: FriendInviteStatus

21.857143

52

0.696078

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918

5.53913

0.417391

0.056515

0.021978

0.050235

0.087912

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918

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false

0.058824

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0

null

0

null

0

1

0

1

0

2

b01c04404aef4086cf534109b8de74aa4cb5ab99

5,083

py

Python

ccontrol/utils/run.py

PierreMsy/DRL_continuous_control

40a443ea2c7415a5dd7185114da0f06902122c4b

[ "MIT" ]

null

ccontrol/utils/run.py

PierreMsy/DRL_continuous_control

40a443ea2c7415a5dd7185114da0f06902122c4b

[ "MIT" ]

null

ccontrol/utils/run.py

PierreMsy/DRL_continuous_control

40a443ea2c7415a5dd7185114da0f06902122c4b

[ "MIT" ]

null

import os import numpy as np from collections import deque from ccontrol.utils import save_scores, save_AC_models, save_configuration class Runner: def __init__(self) -> None: file_location = os.path.dirname(__file__) self.path_score = os.path.join(file_location, r'./../../output/score') self.path_model = os.path.join(file_location, r'./../../output/model') self.path_config = os.path.join(file_location, r'./../../output/configuration') def run(self, agent, env, brain_name, nb_episodes, key, average_on=10, target_score=None, target_over=100, save_score=True, save_config=True, save_weights=False, save_interaction=False): scores = deque() scores_target = deque(maxlen=target_over) scores_window = deque(maxlen=average_on) is_solved = '' for episode in range(1, nb_episodes+1): env_info = env.reset(train_mode=True)[brain_name] states = env_info.vector_observations score = 0 while True: actions = agent.act(states, noise=True) env_info = env.step(actions)[brain_name] next_states = env_info.vector_observations rewards = env_info.rewards dones = env_info.local_done for state, action, reward, next_state, done in zip(states, actions, rewards, next_states, dones): agent.step(state, action, reward, next_state, done) states = next_states score += np.mean(rewards) if np.any(dones): scores.append(score) scores_target.append(score) scores_window.append(score) score_averaged = np.mean(list(scores_window)) print(f"\rEpisode {episode} Score: {score_averaged}{is_solved}", end='\r') if target_score: if (len(is_solved) == 0) & (np.mean(list(scores_target)) > target_score): is_solved = f' -> Solved in {episode} episodes' break print(f"\nLast score: {round(score_averaged,5)} {is_solved}") if save_score: save_scores(scores, key, self.path_score) if save_config: save_configuration(agent, key, self.path_config) if save_weights: save_AC_models(agent, key, self.path_model) if save_interaction: raise Exception('not implemented yet') def run_single_agent(self, agent, env, brain_name, nb_episodes, key, average_on=10, target_score=None, target_over=100, save_score=True, save_config=True, save_weights=False, save_interaction=False): scores = deque() scores_target = deque(maxlen=target_over) scores_window = deque(maxlen=average_on) is_solved = '' for episode in range(1, nb_episodes+1): env_info = env.reset(train_mode=True)[brain_name] state = env_info.vector_observations[0] score = 0 while True: action = agent.act(state, noise=True) env_info = env.step(action)[brain_name] next_state = env_info.vector_observations[0] reward = env_info.rewards[0] done = env_info.local_done[0] agent.step(state, action, reward, next_state, done) state = next_state score += reward if done: scores.append(score) scores_target.append(score) scores_window.append(score) score_averaged = np.mean(list(scores_window)) print(f"\rEpisode {episode} Score: {score_averaged}{is_solved}", end='\r') if target_score: if (len(is_solved) == 0) & (np.mean(list(scores_target)) > target_score): is_solved = f' -> Solved in {episode} episodes' break print(f"\rLast score: {round(score_averaged,5)} {is_solved}") if save_score: save_scores(scores, key, self.path_score) if save_config: save_configuration(agent, key, self.path_config) if save_weights: save_AC_models(agent, key, self.path_model) if save_interaction: raise Exception('not implemented yet')

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5,083

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0

null

0

1

0

1

0

null

0

2

b02767cc5efab8bcfaef8c88a74cc6262d4114af

8,325

py

Python

pyd3d/input/SedMor.py

JulesBlm/pyDelft3D-FLOW

6cd8578ce3b64242b26b3829f6eec6094abf261a

[ "BSD-3-Clause" ]

3

2020-09-30T22:35:39.000Z

2022-02-04T16:10:22.000Z

pyd3d/input/SedMor.py

JulesBlm/pyDelft3D-FLOW

6cd8578ce3b64242b26b3829f6eec6094abf261a

[ "BSD-3-Clause" ]

null

pyd3d/input/SedMor.py

JulesBlm/pyDelft3D-FLOW

6cd8578ce3b64242b26b3829f6eec6094abf261a

[ "BSD-3-Clause" ]

1

2021-08-31T17:02:32.000Z

import re from collections import OrderedDict from datetime import date import json class Mor(object): ''' Read and write Delft3D morphology file Parameters ---------- filename: str Filename of sediment or morphology file that is read TODO ---- * Maybe split into separate Mor and Sed subclass? * Add description with units from FLOW manual and display those when a sed or mor file is loaded * Should check against hardcoded dict to see if options are ok and show possible options and unitss * Same for loading descriptions of keywords * Parse number values ''' def __init__(self, filename=None): self.filename = filename self.data = OrderedDict() self.read(filename) def __repr__(self): return json.dumps(self.data, indent=4) def read(self, filename=None): valid_extension = ".mor" mor_header_name = ["[MorphologyFileInformation]", "[Morphology]", "[Underlayer]", "[Output]"] if not filename: raise Exception("No file name supplied!") elif not filename.endswith(valid_extension): raise Exception("Filename does not end with .mor") with open(filename, "r") as sed_file: data = OrderedDict() for line in sed_file.readlines(): stripped_lined = line.strip() if stripped_lined in mor_header_name: header_name = stripped_lined[1:-1] # remove square brackets data[header_name] = OrderedDict() if "=" in line: keyword, values = line.split("=", 1) keyword = keyword.strip() list_of_values = re.split(r'\s{2,}', values.strip()) # split on more than two spaces data[header_name][keyword] = list_of_values[0] self.data = data return self.data def write(self, filename=None, exclude=[]): """Write OrderedDict to Delft3D-FLOW *.sed file. To ignore a keyword pass a list to keyword argument 'exclude', Parameters ---------- filename: str Paths to sed/mor file exclude: list List of keyword to exclude from writing Examples -------- >>> sed.write(inp, '5050.sed', exclude=['NearBedRefConcentration']) """ if not filename: raise Exception("No filename provided") data = self.data # update file info today = date.today() creation_date_string = today.strftime("%m/%d/%Y, %H:%M:%S") info_header = "MorphologyFileInformation" data[info_header]['FileCreatedBy'] = "pyDelft3D-FLOW v ????" # TODO add global version here data[info_header]['FileCreationDate'] = creation_date_string with open(filename, 'w') as new_file: for header_name in data: new_file.write(f"[{header_name}]\n") for keyword in data[header_name]: if not (keyword in exclude): new_file.write(f" {keyword.ljust(16)} = {data[header_name][keyword]}\n") class Sed(object): def __init__(self, filename=None): self.names = [] self.filename = filename self.data = OrderedDict() self.read(filename) def __repr__(self): return json.dumps(self.data, indent=4) def read(self, filename=None): valid_extension = ".sed" sed_header_names = ["[SedimentFileInformation]", "[SedimentOverall]", "[Sediment]"] if not filename: raise Exception("No file name supplied!") elif not filename.endswith(valid_extension): raise Exception("Filename does not end with .mor or .sed!") with open(filename, "r") as sed_file: data = OrderedDict() for line in sed_file.readlines(): stripped_lined = line.strip() if stripped_lined in sed_header_names: header_name = stripped_lined[1:-1] # remove square brackets # to prevent overwriting the previous sediment if header_name == 'Sediment': sed_nr = len(self.names) header_name = header_name + str(sed_nr) data[header_name] = OrderedDict() data[header_name] = OrderedDict() if "=" in line: keyword, values = line.split("=", 1) keyword = keyword.strip() list_of_values = re.split(r'\s{2,}', values.strip()) # split on more than two spaces if keyword == "Name": self.names.append(list_of_values[0][1:-1]) # add sediment to list of sediment names data[header_name][keyword] = list_of_values[0] self.data = data return self.data def write(self, filename=None, exclude=[]): """Write OrderedDict to Delft3D-FLOW *.sed file. To ignore a keyword pass a list to keyword argument 'exclude', Parameters ---------- filename: str Paths to sed/mor file exclude: list List of keyword to exclude from writing Examples -------- >>> sed.write(inp, '5050.sed', exclude=['NearBedRefConcentration']) """ if not filename: raise Exception("No filename provided") data = self.data # update file info today = date.today() creation_date_string = today.strftime("%m/%d/%Y, %H:%M:%S") info_header = "SedimentFileInformation" data[info_header]['FileCreatedBy'] = "pyDelft3D-FLOW v ?" # TODO add global version here data[info_header]['FileCreationDate'] = creation_date_string with open(filename, 'w') as new_file: for header_name in data: # remove the sediment nr again when writing to file if re.search(r'Sediment[0-9]*$', header_name): new_file.write("[Sediment]\n") else: new_file.write(f"[{header_name}]\n") for keyword in data[header_name]: if not (keyword in exclude): new_file.write(f" {keyword.ljust(16)} = {data[header_name][keyword]}\n") # TODO: # Make this a hardcoded dict to match values against # mor_string_keywords = ['FileCreatedBy', 'FileCreationDate', 'FileVersion', 'MorUpd', 'IHidExp', 'ISlope', 'BcFil', 'IBedCond', 'ICmpCond', 'IUnderLyr', 'TTLForm', 'ThTrLyr', 'UpdBaseLyr', 'IniComp'] # mor_bool_keywords = ['NeuBcSand', 'NeuBcMud', 'DensIn', 'MorUpd', 'BedUpd', 'CmpUpd', 'NeglectEntrainment', 'EqmBc', 'UpdInf', 'Multi', 'UpwindBedload'] # mor_bool_output_keywords = ['VelocAtZeta', 'VelocMagAtZeta', 'VelocZAtZeta', 'ShearVeloc','MaximumWaterdepth','BedTranspAtFlux', # 'BedTranspDueToCurrentsAtZeta','BedTranspDueToCurrentsAtFlux','BedTranspDueToWavesAtZeta','BedTranspDueToWavesAtFlux', # 'SuspTranspDueToWavesAtZeta','SuspTranspDueToWavesAtFlux','SuspTranspAtFlux','NearBedTranspCorrAtFlux','NearBedRefConcentration', # 'EquilibriumConcentration','SettlingVelocity','SourceSinkTerms','Bedslope', 'Taurat','Bedforms','Dm','Dg', # 'Frac','MudFrac','FixFac','HidExp','Percentiles','CumNetSedimentationFlux','BedLayerSedimentMass','BedLayerDepth', # 'BedLayerVolumeFractions','BedLayerPorosity','StatWaterDepth', # ] # bool_keywords = mor_bool_keywords + mor_bool_output_keywords # # string_keywords = bool_keywords + mor_string_keywords # temporary hack # elif filename.endswith(".sed"): # string_keywords = ['FileCreatedBy', 'VERSION', 'IopSus', 'SedTyp', 'Name'] # bool_keywords = []

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null

0

1

0

2

b02d364fad492b49625b2e4436c0c11396e28860

787

py

Python

algorithm/greedy/luck_balance/solution.py

delaanthonio/hackerrank

b1f2e1e93b3260be90eb3b8cb8e86e9a700acf27

[ "MIT" ]

1

2017-07-02T01:35:39.000Z

algorithm/greedy/luck_balance/solution.py

delaanthonio/hackerrank

b1f2e1e93b3260be90eb3b8cb8e86e9a700acf27

[ "MIT" ]

null

algorithm/greedy/luck_balance/solution.py

delaanthonio/hackerrank

b1f2e1e93b3260be90eb3b8cb8e86e9a700acf27

[ "MIT" ]

1

2018-04-03T15:11:56.000Z

#!/usr/bin/env python3 """ Luck Balance :author: Dela Anthonio :hackerrank: https://hackerrank.com/delaanthonio :problem: https://www.hackerrank.com/challenges/luck-balance """ import sys from typing import List, Tuple def luck_balance(contests: List[Tuple[int, int]], important) -> int: important_contests = sorted((l for l, i in contests if i), reverse=True) luck = 0 luck += sum(important_contests[:important]) luck -= sum(important_contests[important:]) luck += sum(l for l, i in contests if not i) return luck def main(): _, important = [int(x) for x in input().split()] contests = [tuple(int(x) for x in line.split()) for line in sys.stdin] luck = luck_balance(contests, important) print(luck) if __name__ == '__main__': main()

23.848485

76

0.678526

112

787

4.642857

0.410714

0.084615

0.073077

0.023077

0.248077

0.209615

0

0.00311

0.182973

787

32

77

24.59375

0.805599

0.213469

0

0.013093

0

1

0.125

false

0

0.5

0

0.6875

0.0625

0

null

0

null

0

1

0

1

0

2

b02e8d705f4433a8a8c345556bf727f88bf3da10

715

py

Python

django_attachments/fields.py

mireq/django-attachments

53060499e931723ac510a42dd7ac72addbbdf653

[ "BSD-2-Clause-FreeBSD" ]

1

2020-02-08T02:43:15.000Z

django_attachments/fields.py

mireq/django-attachments

53060499e931723ac510a42dd7ac72addbbdf653

[ "BSD-2-Clause-FreeBSD" ]

2

2020-06-05T17:38:51.000Z

2021-04-30T08:28:39.000Z

django_attachments/fields.py

mireq/django-attachments

53060499e931723ac510a42dd7ac72addbbdf653

[ "BSD-2-Clause-FreeBSD" ]

null

# -*- coding: utf-8 -*- from django import forms from django.db import models class LibraryFormField(forms.ModelChoiceField): pass class GalleryFormField(LibraryFormField): pass class LibraryField(models.ForeignKey): description = "Attachments" def __init__(self, to='django_attachments.Library', *args, **kwargs): super().__init__(to, *args, **kwargs) def formfield(self, **kwargs): defaults = {'form_class': LibraryFormField} defaults.update(kwargs) return super().formfield(**defaults) class GalleryField(LibraryField): description = "Gallery" def formfield(self, **kwargs): defaults = {'form_class': GalleryFormField} defaults.update(kwargs) return super().formfield(**defaults)

21.666667

70

0.73986

76

715

6.815789

0.434211

0.03861

0.061776

0.084942

0.335907

0

0.001597

0.124476

715

32

71

22.34375

0.825879

0.029371

0

0.4

0

0.092486

0.037572

0

1

0.15

false

0.1

0

0.65

0

null

0

null

0

1

0

1

0

2

b0356226ddef8e18389d2064c0c05b8962713f0b

339

py

Python

uri/1103.py

italo-batista/problems-solving

f83ad34f0abebd52925c4020635556f20743ba06

[ "MIT" ]

null

uri/1103.py

italo-batista/problems-solving

f83ad34f0abebd52925c4020635556f20743ba06

[ "MIT" ]

null

uri/1103.py

italo-batista/problems-solving

f83ad34f0abebd52925c4020635556f20743ba06

[ "MIT" ]

null

while True: h1, m1, h2, m2 = map(int, raw_input().split()) if h1 == 0 and h2 == 0 and m1 == 0 and m2 == 0: break if h1 == h2: if m1 < m2: print m2 - m1 elif m1 > m2: print 24 * 60 - (m1 - m2) else: print 0 elif h1 < h2: print (h2 - h1) * 60 - m1 + m2 else: print (24 - h1) * 60 - m1 + (h2 * 60) + m2

14.73913

48

0.480826

62

339

2.612903

0.322581

0.098765

0.111111

0.123457

0.185185

0

0.206422

0.356932

339

22

49

15.409091

0.536697

0

0.133333

0

null

0

null

0.333333

0

null

0

1

0

null

0

1

0

2

b036cd71a269e078fad0cb3cf80cc057055758e6

699

py

Python

src/ralph/deployment/tests/utils.py

vi4m/ralph

2af767ee23d89be9e6cec0a537350a1ce8840bd1

[ "Apache-2.0" ]

1

2018-09-01T14:14:08.000Z

src/ralph/deployment/tests/utils.py

srikanth4372/sample

127b5742ae464d42909a14d71e3c10c241ec3a23

[ "Apache-2.0" ]

1

2019-08-14T10:03:45.000Z

src/ralph/deployment/tests/utils.py

srikanth4372/sample

127b5742ae464d42909a14d71e3c10c241ec3a23

[ "Apache-2.0" ]

1

2019-08-14T09:59:42.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- from __future__ import absolute_import from __future__ import division from __future__ import print_function from __future__ import unicode_literals import factory from factory.django import DjangoModelFactory from ralph.deployment.models import MassDeployment, Preboot, Deployment from ralph.discovery.tests.util import DeviceFactory class DeploymentFactory(DjangoModelFactory): FACTORY_FOR = Deployment device = factory.SubFactory(DeviceFactory) mac = "000000000000" ip = "" class MassDeploymentFactory(DjangoModelFactory): FACTORY_FOR = MassDeployment class PrebootFactory(DjangoModelFactory): FACTORY_FOR = Preboot

23.3

71

0.798283

73

699

7.342466

0.520548

0.074627

0.119403

0

0.021595

0.13877

699

29

72

24.103448

0.868771

0.060086

0

0.018321

0

1

0

false

0

0.470588

0

1

0.058824

0

null

0

null

0

1

0

1

0

2

b03992e2193f2551da86bfb640cba3cd09cb558b

4,095

py

Python

sdk/python/pulumi_aws/s3/__init__.py

sibuthomasmathew/pulumi-aws

6351f2182eb6f693d4e09e4136c385adfa0ab674

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

null

sdk/python/pulumi_aws/s3/__init__.py

sibuthomasmathew/pulumi-aws

6351f2182eb6f693d4e09e4136c385adfa0ab674

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

null

sdk/python/pulumi_aws/s3/__init__.py

sibuthomasmathew/pulumi-aws

6351f2182eb6f693d4e09e4136c385adfa0ab674

[ "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! *** # Export this package's modules as members: from ._enums import * from .access_point import * from .account_public_access_block import * from .analytics_configuration import * from .bucket import * from .bucket_metric import * from .bucket_notification import * from .bucket_object import * from .bucket_ownership_controls import * from .bucket_policy import * from .bucket_public_access_block import * from .get_bucket import * from .get_bucket_object import * from .get_bucket_objects import * from .get_canonical_user_id import * from .inventory import * from .object_copy import * from ._inputs import * from . import outputs def _register_module(): import pulumi from .. import _utilities class Module(pulumi.runtime.ResourceModule): _version = _utilities.get_semver_version() def version(self): return Module._version def construct(self, name: str, typ: str, urn: str) -> pulumi.Resource: if typ == "aws:s3/accessPoint:AccessPoint": return AccessPoint(name, pulumi.ResourceOptions(urn=urn)) elif typ == "aws:s3/accountPublicAccessBlock:AccountPublicAccessBlock": return AccountPublicAccessBlock(name, pulumi.ResourceOptions(urn=urn)) elif typ == "aws:s3/analyticsConfiguration:AnalyticsConfiguration": return AnalyticsConfiguration(name, pulumi.ResourceOptions(urn=urn)) elif typ == "aws:s3/bucket:Bucket": return Bucket(name, pulumi.ResourceOptions(urn=urn)) elif typ == "aws:s3/bucketMetric:BucketMetric": return BucketMetric(name, pulumi.ResourceOptions(urn=urn)) elif typ == "aws:s3/bucketNotification:BucketNotification": return BucketNotification(name, pulumi.ResourceOptions(urn=urn)) elif typ == "aws:s3/bucketObject:BucketObject": return BucketObject(name, pulumi.ResourceOptions(urn=urn)) elif typ == "aws:s3/bucketOwnershipControls:BucketOwnershipControls": return BucketOwnershipControls(name, pulumi.ResourceOptions(urn=urn)) elif typ == "aws:s3/bucketPolicy:BucketPolicy": return BucketPolicy(name, pulumi.ResourceOptions(urn=urn)) elif typ == "aws:s3/bucketPublicAccessBlock:BucketPublicAccessBlock": return BucketPublicAccessBlock(name, pulumi.ResourceOptions(urn=urn)) elif typ == "aws:s3/inventory:Inventory": return Inventory(name, pulumi.ResourceOptions(urn=urn)) elif typ == "aws:s3/objectCopy:ObjectCopy": return ObjectCopy(name, pulumi.ResourceOptions(urn=urn)) else: raise Exception(f"unknown resource type {typ}") _module_instance = Module() pulumi.runtime.register_resource_module("aws", "s3/accessPoint", _module_instance) pulumi.runtime.register_resource_module("aws", "s3/accountPublicAccessBlock", _module_instance) pulumi.runtime.register_resource_module("aws", "s3/analyticsConfiguration", _module_instance) pulumi.runtime.register_resource_module("aws", "s3/bucket", _module_instance) pulumi.runtime.register_resource_module("aws", "s3/bucketMetric", _module_instance) pulumi.runtime.register_resource_module("aws", "s3/bucketNotification", _module_instance) pulumi.runtime.register_resource_module("aws", "s3/bucketObject", _module_instance) pulumi.runtime.register_resource_module("aws", "s3/bucketOwnershipControls", _module_instance) pulumi.runtime.register_resource_module("aws", "s3/bucketPolicy", _module_instance) pulumi.runtime.register_resource_module("aws", "s3/bucketPublicAccessBlock", _module_instance) pulumi.runtime.register_resource_module("aws", "s3/inventory", _module_instance) pulumi.runtime.register_resource_module("aws", "s3/objectCopy", _module_instance) _register_module()

50.555556

99

0.715751

441

4,095

6.453515

0.222222

0.042164

0.033732

0.11806

0.418833

0.388967

0.374912

0

0.007467

0.182418

4,095

80

100

51.1875

0.842593

0.05348

0

1

0

0.191423

0.145957

0

1

0.044776

false

0

0.313433

0.014925

0.58209

0

null

0

1

0

null

0

1

0

2

b03dab621e15669ced2924bc726c7d5c98dc8039

334

py

Python

model-optimizer/mo/front/common/extractors/utils.py

monroid/openvino

8272b3857ef5be0aaa8abbf7bd0d5d5615dc40b6

[ "Apache-2.0" ]

2,406

2020-04-22T15:47:54.000Z

2022-03-31T10:27:37.000Z

model-optimizer/mo/front/common/extractors/utils.py

thomas-yanxin/openvino

031e998a15ec738c64cc2379d7f30fb73087c272

[ "Apache-2.0" ]

4,948

2020-04-22T15:12:39.000Z

2022-03-31T18:45:42.000Z

model-optimizer/mo/front/common/extractors/utils.py

thomas-yanxin/openvino

031e998a15ec738c64cc2379d7f30fb73087c272

[ "Apache-2.0" ]

991

2020-04-23T18:21:09.000Z

2022-03-31T18:40:57.000Z

# Copyright (C) 2018-2021 Intel Corporation # SPDX-License-Identifier: Apache-2.0 import numpy as np def layout_attrs(): return { 'spatial_dims': np.array([2, 3], dtype=np.int64), 'channel_dims': np.array([1], dtype=np.int64), 'batch_dims': np.array([0], dtype=np.int64), 'layout': 'NCHW' }

23.857143

57

0.610778

47

334

4.255319

0.638298

0.09

0.165

0

0.076628

0.218563

334

13

58

25.692308

0.689655

0.230539

0

0.173228

0

1

0.125

true

0

0.125

0.375

0

null

0

null

0

1

0

1

0

2

b042d7e2b23075d8bbab3fe77f9c5aab496ac644

543

py

Python

{{cookiecutter.project_name}}/{{cookiecutter.app_name}}/extensions.py

T8840/FlaskSkeleton

544d2a509d992c0d3d7f20855811c384fca1a7f5

[ "MIT" ]

null

{{cookiecutter.project_name}}/{{cookiecutter.app_name}}/extensions.py

T8840/FlaskSkeleton

544d2a509d992c0d3d7f20855811c384fca1a7f5

[ "MIT" ]

null

{{cookiecutter.project_name}}/{{cookiecutter.app_name}}/extensions.py

T8840/FlaskSkeleton

544d2a509d992c0d3d7f20855811c384fca1a7f5

[ "MIT" ]

null

"""扩展模块。每个扩展在app.py中的app工厂中初始化.""" from flask_bcrypt import Bcrypt from flask_caching import Cache from flask_cors import CORS from flask_debugtoolbar import DebugToolbarExtension from flask_sqlalchemy import SQLAlchemy from flask_migrate import Migrate from flask_marshmallow import Marshmallow from {{cookiecutter.app_name}}.commons.apispec import APISpecExt bcrypt = Bcrypt() db = SQLAlchemy() migrate = Migrate(db=db) cache = Cache() cors = CORS() apispec = APISpecExt() debug_toolbar = DebugToolbarExtension() serialize = Marshmallow()

27.15

64

0.815838

65

543

6.676923

0.384615

0.145161

0

0.108656

543

19

65

28.578947

0.896694

0

null

0

0.5

null

0

null

0

null

0

1

0

1

0

2

b048ab0524ac49c5dd48e70b3fcf3da7bb5e9fa0

826

py

Python

main/views.py

marc-marquez/issue-tracker

d9f2a589f416d74174499e59c5ba94900f2be063

[ "MIT" ]

1

2018-12-07T19:52:44.000Z

main/views.py

marc-marquez/issue-tracker

d9f2a589f416d74174499e59c5ba94900f2be063

[ "MIT" ]

6

2020-02-11T23:12:02.000Z

2022-02-10T08:17:07.000Z

main/views.py

marc-marquez/issue-tracker

d9f2a589f416d74174499e59c5ba94900f2be063

[ "MIT" ]

1

2018-12-06T20:55:42.000Z

""" Creates the views for the: - index page - FAQ page - About page - Contact Us page """ from django.shortcuts import render def get_index(request): """ Returns index page :param request: The request type :return: index page """ return render(request, 'index.html') def get_faq(request): """ Returns FAQ page :param request: The request type :return: FAQ page """ return render(request, 'faq.html') def get_about(request): """ Returns the About Us page :param request: The request type :return: About Us page """ return render(request, 'about.html') def get_contact(request): """ Returns the Contact Us page :param request: The request type :return: Contact Us page """ return render(request, 'contact.html')

20.146341

42

0.62954

105

826

4.914286

0.219048

0.05814

0.124031

0.147287

0.383721

0.286822

0.147287

0

0.263923

826

40

43

20.65

0.848684

0.490315

0

0.124611

0

1

0.444444

false

0

0.111111

0

1

0

null

0

null

0

1

0

1

0

2

b04b6ec673eccf2193c77faa7009efb413e1e18a

4,348

py

Python

Code/config.py

CerpStern/CapStone

4c09db174b1ff9a1b96b69e5c298b29c610aefaa

[ "MIT" ]

1

2018-03-30T03:21:23.000Z

Code/config.py

KevinNovak/Syllabus-Management-System

4c09db174b1ff9a1b96b69e5c298b29c610aefaa

[ "MIT" ]

null

Code/config.py

KevinNovak/Syllabus-Management-System

4c09db174b1ff9a1b96b69e5c298b29c610aefaa

[ "MIT" ]

null

import os import json import datetime from flask import Flask, url_for, redirect, \ render_template, session, request from flask_sqlalchemy import SQLAlchemy from flask_login import LoginManager, login_required, login_user, \ logout_user, current_user, UserMixin from requests_oauthlib import OAuth2Session from requests.exceptions import HTTPError basedir = os.path.abspath(os.path.dirname(__file__)) """App Configuration""" class Auth: """Google Project Credentials""" CLIENT_ID = ('486646633132-nc0hlcn0vt7khirhmhkh518d84omqjea' '.apps.googleusercontent.com') CLIENT_SECRET = 'NNKF51kaBY-5RIMpOW1S2bjd' REDIRECT_URI = 'https://localhost:5000/gCallback' AUTH_URI = 'https://accounts.google.com/o/oauth2/auth' TOKEN_URI = 'https://accounts.google.com/o/oauth2/token' USER_INFO = 'https://www.googleapis.com/userinfo/v2/me' SCOPE = ['profile', 'email'] class Config: """Base config""" APP_NAME = "SMS" SECRET_KEY = "NNKF51kaBY-5RIMpOW1S2bjd" class DevConfig(Config): """Dev config""" DEBUG = True SQLALCHEMY_DATABASE_URI = 'sqlite:///' + os.path.join(basedir, "test.db") SQLALCHEMY_TRACK_MODIFICATIONS = False class ProdConfig(Config): """Production config""" DEBUG = False SQLALCHEMY_DATABASE_URI = 'sqlite:///' + os.path.join(basedir, "test.db") SQLALCHEMY_TRACK_MODIFICATIONS = False config = { "dev": DevConfig, "prod": ProdConfig, "default": DevConfig } class Template(): basic = '<h3>Intro to Blah Blah Blah</h3><p>Meeting Time: XX:XX - XX:XX Day1, Day2</p><p>Meeting Place: Room XXX Foo Hall</p><p>Course Website:</p><p>Intructor Name: Bob Loblaw</p><p>Office Hours: XX:XX - XX:XXX Day1, Day2 Room XXX Building</p><p>Required Materials if any:</p><p>Prerequisites if any:</p>' description = 'Course Description Goes Here' topics = 'Topics Covered Go Here' outcomes = 'Learning Outcomes Go Here' grading = 'Grading Policy Goes Here' schedule = 'Planned Schedule Goes Here' honesty = 'Cheating means to misrepresent the source, nature, or other conditions of your academic work (e.g., tests, papers, projects, assignments) so as to get underserved credit. The use of the intellectual property of others without giving them appropriate credit is a serious academic offense. The University considers cheating and plagiarism very serious offenses and provides for sanctions up to and including dismissal from the University or revocation of a degree. The University’s administrative policy and procedures regarding student cheating and plagiarism can be found in the <a href="https://www.kent.edu/policyreg/administrative-policy-regarding-student-cheating-and-plagiarism" target="_blank" rel="noopener noreferrer">Administrative Policy, 3-01.8</a>. By submitting any material in this (or any other class) you are certifying that it is free of plagiarism.' deadlines = 'Students have responsibility to ensure they are properly enrolled in classes. You are advised to review your official class schedule (using Student Tools in FlashLine) during the first two weeks of the semester to ensure you are properly enrolled in this class and section. Should you find an error in your class schedule, you have until cut-off date provided by the Undergraduate Office to correct the error with your advising office. If registration errors are not corrected by the cut-off date and you continue to attend and participate in classes for which you are not officially enrolled, you are advised now that you will not receive a grade at the conclusion of the semester for any class in which you are not properly registered.' accessibility = 'University policy 3342-3-01.3 requires that students with disabilities be provided reasonable accommodations to ensure their equal access to course content. If you have a documented disability and require accommodations, please contact the instructor at the beginning of the semester to make arrangements for necessary classroom adjustments. Please note, you must first verify your eligibility for these through the Student Accessibility Services (contact 330-672-3391 or visit <a href="http://www.kent.edu/sas" target="_blank" rel="noopener noreferrer">www.kent.edu/sas</a> for more information on registration procedures).' keywords = 'Learning'

64.895522

888

0.76058

611

4,348

5.361702

0.487725

0.003663

0.005495

0.013431

0.112332

0.070208

0.050672

0

0.017984

0.155934

4,348

66

889

65.878788

0.874659

0.015409

0

0.085106

0

0.085106

0.708284

0.058768

0

1

0

false

0

0.170213

0

0.808511

0

null

0

1

0

null

0

1

0

2

b0518d75fb6c1539ec406a12c1c23f326937ba27

489

py

Python

Data Structures/Queue.py

Royals-Aeo-Gamer/MyPyMods

be3a521e9f823ce0b704f925b19f6f34dcb5405d

[ "MIT" ]

null

Data Structures/Queue.py

Royals-Aeo-Gamer/MyPyMods

be3a521e9f823ce0b704f925b19f6f34dcb5405d

[ "MIT" ]

null

Data Structures/Queue.py

Royals-Aeo-Gamer/MyPyMods

be3a521e9f823ce0b704f925b19f6f34dcb5405d

[ "MIT" ]

null

class queue: def __init__(self): self.main = [] self.max_c = 10 def deque(self): del self.main[-1] def enque(self,val): if len(self.main) == self.max_c: self.deque() self.main.insert(0,val) else: self.main.insert(0,val) def show(self): return self.main def __getitem__(self,index): return self.main[index] def __setitem__(self,*args): raise AssertionError("Queue doesn't supports its assertion") def __delitem__(self,index): del self.main[index]

18.111111

62

0.678937

76

489

4.131579

0.434211

0.203822

0.076433

0.095541

0.216561

0

0.012438

0.177914

489

27

63

18.111111

0.768657

0

0.1

0

0.073469

0

0.05

1

0.35

false

0

0.1

0.5

0

null

1

0

null

0

1

0

2

b053b7e26c23de7b1065b90c154b234c85c386b8

657

py

Python

pyfftlog/__init__.py

ShazAlvi/pyfftlog

6e99cc3d708f106d8fe0b3fdfc02c6c5c4f74b24

[ "CC0-1.0" ]

14

2018-08-22T17:14:18.000Z

2021-12-30T07:05:30.000Z

pyfftlog/__init__.py

ShazAlvi/pyfftlog

6e99cc3d708f106d8fe0b3fdfc02c6c5c4f74b24

[ "CC0-1.0" ]

12

2019-08-16T18:44:35.000Z

2021-06-28T21:57:13.000Z

pyfftlog/__init__.py

ShazAlvi/pyfftlog

6e99cc3d708f106d8fe0b3fdfc02c6c5c4f74b24

[ "CC0-1.0" ]

9

2017-08-24T12:51:14.000Z

2022-03-30T13:51:46.000Z

from datetime import datetime from pyfftlog.pyfftlog import fhti, fftl, fht, fhtq, krgood __all__ = ['fhti', 'fftl', 'fht', 'fhtq', 'krgood'] # Version try: # - Released versions just tags: 1.10.0 # - GitHub commits add .dev#+hash: 1.10.1.dev3+g973038c # - Uncommitted changes add timestamp: 1.10.1.dev3+g973038c.d20191022 from .version import version as __version__ except ImportError: # If it was not installed, then we don't know the version. We could throw a # warning here, but this case *should* be rare. pyfftlog should be # installed properly! __version__ = 'unknown-'+datetime.today().strftime('%Y%m%d')

38.647059

79

0.687976

93

657

4.731183

0.666667

0.020455

0.05

0.068182

0.168182

0

0.064394

0.196347

657

16

80

41.0625

0.768939

0.509893

0

0.111821

0

1

0

false

0

0.571429

0

0.571429

0

null

0

null

0

1

0

1

0

2

b0645d80696549ddac03a65ee683a85f214b7e9d

1,048

py

Python

src/wallet/puzzles/p2_puzzle_hash.py

reghacker/chia-blockchain

51ab6260dcfbd95b4be9686f717f8d63133ef50f

[ "Apache-2.0" ]

1

2021-04-12T09:10:51.000Z

src/wallet/puzzles/p2_puzzle_hash.py

reghacker/chia-blockchain

51ab6260dcfbd95b4be9686f717f8d63133ef50f

[ "Apache-2.0" ]

1

2022-03-25T19:10:51.000Z

src/wallet/puzzles/p2_puzzle_hash.py

fakecoinbase/Chia-Networkslashchia-blockchain

84e6a4da18fb0a790a870cbd516f13c9bc7f0716

[ "Apache-2.0" ]

1

2022-01-26T11:57:29.000Z

""" Pay to puzzle hash In this puzzle program, the solution must be a reveal of the puzzle with the given hash along with its solution. """ from clvm_tools import binutils from src.types.program import Program """ solution: (puzzle_reveal . solution_to_puzzle) (if (= (sha256 (wrap puzzle_reveal)) puzzle_hash) ((c puzzle_reveal solution_to_puzzle (a))) (x)) ((c (i (= (sha256 (wrap puzzle_reveal)) puzzle_hash) (q (e (f (a)) (r (a)))) (q (x))) (a))) ((c (i (= (sha256 (wrap (f (a)))) CONST) (q (e (f (a)) (r (a)))) (q (x))) (a))) """ def puzzle_for_puzzle_hash(underlying_puzzle_hash): TEMPLATE = "((c (i (= (sha256tree (f (a))) (q 0x%s)) (q ((c (f (a)) (f (r (a)))))) (q (x))) (a)))" return Program.to(binutils.assemble(TEMPLATE % underlying_puzzle_hash.hex())) def solution_for_puzzle_and_solution(underlying_puzzle, underlying_solution): underlying_puzzle_hash = underlying_puzzle.get_hash() puzzle_program = puzzle_for_puzzle_hash(underlying_puzzle_hash) return Program.to([puzzle_program, underlying_solution])

32.75

102

0.685115

160

1,048

4.2625

0.3

0.131965

0.117302

0.017595

0.324047

0.234604

0.140762

0.026393

0

0.014541

0.146947

1,048

31

103

33.806452

0.748322

0.125954

0

0.111111

0.146299

0

1

0.222222

false

0

0.222222

0

0.666667

0

null

0

null

0

1

0

1

0

2

c68152cd50cdad7a8061d4413c8cf518b5742931

1,153

py

Python

plaso/containers/errors.py

ir4n6/plaso

010f9cbdfc82e21ed6658657fd09a7b44115c464

[ "Apache-2.0" ]

null

plaso/containers/errors.py

ir4n6/plaso

010f9cbdfc82e21ed6658657fd09a7b44115c464

[ "Apache-2.0" ]

null

plaso/containers/errors.py

ir4n6/plaso

010f9cbdfc82e21ed6658657fd09a7b44115c464

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- """Error attribute containers.""" from __future__ import unicode_literals from plaso.containers import interface from plaso.containers import manager # TODO: add AnalysisError. class ExtractionError(interface.AttributeContainer): """Extraction error attribute container. Attributes: message (str): error message. parser_chain (str): parser chain to which the error applies. path_spec (dfvfs.PathSpec): path specification of the file entry to which the error applies. """ CONTAINER_TYPE = 'extraction_error' def __init__(self, message=None, parser_chain=None, path_spec=None): """Initializes a parse error. Args: message (Optional[str]): error message. parser_chain (Optional[str]): parser chain to which the error applies. path_spec (Optional[dfvfs.PathSpec]): path specification of the file entry to which the error applies. """ super(ExtractionError, self).__init__() self.message = message self.parser_chain = parser_chain self.path_spec = path_spec manager.AttributeContainersManager.RegisterAttributeContainer(ExtractionError)

28.825

78

0.732871

135

1,153

6.074074

0.385185

0.093902

0.04878

0.073171

0.331707

0.268293

0

0.001057

0.179532

1,153

39

79

29.564103

0.865751

0.50477

0

0.031008

0

0.025641

0

1

0.090909

false

0

0.272727

0

0.545455

0

null

0

null

0

1

0

1

0

2

c6a614791b278e999b67693c9a9be6e1817e38df

156

py

Python

pfr_api/__init__.py

aadamson/pfr-api

b5cab2763db71e57e231507e03747fc0922cdba3

[ "MIT" ]

1

2021-10-12T01:39:04.000Z

pfr_api/__init__.py

aadamson/pfr-api

b5cab2763db71e57e231507e03747fc0922cdba3

[ "MIT" ]

null

pfr_api/__init__.py

aadamson/pfr-api

b5cab2763db71e57e231507e03747fc0922cdba3

[ "MIT" ]

null

# -*- coding: utf-8 -*- """Top-level package for pfr_api.""" __author__ = """Alex Adamson""" __email__ = 'alex.b.adamson@gmail.com' __version__ = '0.1.0'

19.5

38

0.634615

22

156

3.909091

0.863636

0

0.02963

0.134615

156

7

39

22.285714

0.607407

0.339744

0

0.42268

0.247423

0

1

0

false

0

1

0

null

0

1

0

null

0

2

c6c8367ac4444b6d37311239e2cb319cf37c2360

211

py

Python

CursoEmVideo/Aula10/ex031.py

lucashsouza/Desafios-Python

abb5b11ebdfd4c232b4f0427ef41fd96013f2802

[ "MIT" ]

null

CursoEmVideo/Aula10/ex031.py

lucashsouza/Desafios-Python

abb5b11ebdfd4c232b4f0427ef41fd96013f2802

[ "MIT" ]

null

CursoEmVideo/Aula10/ex031.py

lucashsouza/Desafios-Python

abb5b11ebdfd4c232b4f0427ef41fd96013f2802

[ "MIT" ]

null

km = float(input('Qual vai ser a distância da viagem: ')) if km <= 200: print('O valor a ser pago é de: R${:.2f}'.format(km * 0.50)) else: print('O valor a ser pago é de: R${:.2f}'.format(km * 0.45))

42.2

65

0.582938

42

211

2.928571

0.595238

0.097561

0.178862

0.195122

0.552846

0

0.066667

0.218009

211

5

66

42.2

0.678788

0

0.490385

0

1

0

false

0

0.4

0

null

0

1

0

1

0

null

0

2

c6e362bf6a246f7a2ad3404554bd7be6976605a3

3,102

py

Python

torch_glow/tests/nodes/trig_ops_test.py

YaronBenAtar/glow

a13706a4239fa7eaf059c670dc573e3eb0768f86

[ "Apache-2.0" ]

2,838

2018-05-02T16:57:22.000Z

2022-03-31T14:35:26.000Z

torch_glow/tests/nodes/trig_ops_test.py

YaronBenAtar/glow

a13706a4239fa7eaf059c670dc573e3eb0768f86

[ "Apache-2.0" ]

4,149

2018-05-02T17:50:14.000Z

2022-03-31T23:56:43.000Z

torch_glow/tests/nodes/trig_ops_test.py

LaudateCorpus1/glow-1

cda5383b1609ebad1a3631ca77b41b8a863443d4

[ "Apache-2.0" ]

685

2018-05-02T16:54:09.000Z

2022-03-24T01:12:24.000Z

# Copyright (c) Glow Contributors. See CONTRIBUTORS file. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from __future__ import absolute_import, division, print_function, unicode_literals import numpy as np import torch from tests import utils class SimpleCosModule(torch.nn.Module): def __init__(self): super(SimpleCosModule, self).__init__() def forward(self, a): return torch.cos(a + a) class SimpleSinModule(torch.nn.Module): def __init__(self): super(SimpleSinModule, self).__init__() def forward(self, a): return torch.sin(a + a) class SimpleACosModule(torch.nn.Module): def __init__(self): super(SimpleACosModule, self).__init__() def forward(self, a): return torch.acos(a + a) class SimpleASinModule(torch.nn.Module): def __init__(self): super(SimpleASinModule, self).__init__() def forward(self, a): return torch.asin(a + a) class SimpleATanModule(torch.nn.Module): def __init__(self): super(SimpleATanModule, self).__init__() def forward(self, a): return torch.atan(a + a) class TestCos(utils.TorchGlowTestCase): def test_cos(self, skip_to_glow=False): # Ensures range is in [-2*pi, 2*pi] x = 4 * np.pi * (torch.rand(2, 3, 4) - 0.5) utils.compare_tracing_methods( SimpleCosModule(), x, fusible_ops={"aten::cos"}, skip_to_glow=skip_to_glow ) class TestSin(utils.TorchGlowTestCase): def test_sin(self, skip_to_glow=False): # Ensures range is in [-2*pi, 2*pi] x = 4 * np.pi * (torch.rand(2, 3, 4) - 0.5) utils.compare_tracing_methods( SimpleSinModule(), x, fusible_ops={"aten::sin"}, skip_to_glow=skip_to_glow ) class TestACos(utils.TorchGlowTestCase): def test_acos(self, skip_to_glow=False): x = torch.rand(2, 3, 4) - 0.5 # Ensures range is in [-1,1] utils.compare_tracing_methods( SimpleACosModule(), x, fusible_ops={"aten::acos"}, skip_to_glow=skip_to_glow ) class TestASin(utils.TorchGlowTestCase): def test_asin(self, skip_to_glow=False): x = torch.rand(2, 3, 4) - 0.5 # Ensures range is in [-1,1] utils.compare_tracing_methods( SimpleASinModule(), x, fusible_ops={"aten::asin"}, skip_to_glow=skip_to_glow ) class TestATan(utils.TorchGlowTestCase): def test_atan(self, skip_to_glow=False): x = torch.randn(2, 3, 4) utils.compare_tracing_methods( SimpleATanModule(), x, fusible_ops={"aten::atan"}, skip_to_glow=skip_to_glow )

30.411765

88

0.670535

430

3,102

4.611628

0.281395

0.045386

0.075643

0.040343

0.398386

0.388301

0.252143

0.166415

0

0.01522

0.216312

3,102

101

89

30.712871

0.800494

0.225338

0

0.322034

0

0.020126

0

1

0.254237

false

0

0.067797

0.084746

0.576271

0.016949

0

null

0

null

0

1

0

1

0

2

c6ede76c080acb8d7b0d7af65bbda56a035368b5

1,061

py

Python

scripts/data_preparation.py

hupili/hk_census_explorer_2011

c130cf02a14c05bad5770d8477489fff78f32411

[ "MIT" ]

14

2015-04-13T16:30:45.000Z

2017-03-30T02:54:13.000Z

scripts/data_preparation.py

hupili/hk_census_explorer_2011

c130cf02a14c05bad5770d8477489fff78f32411

[ "MIT" ]

5

2015-03-04T13:44:41.000Z

2017-10-22T16:03:18.000Z

scripts/data_preparation.py

hupili/hk_census_explorer_2011

c130cf02a14c05bad5770d8477489fff78f32411

[ "MIT" ]

4

2015-01-23T02:56:40.000Z

2018-03-05T11:42:02.000Z

import sh from log import logger import config import download_constituency_area_data import extract_data_from_xls import geo_naming import combine_json import public_facilities import translation_for_i18next print(config.DIR_DATA_PREFIX) sh.mkdir('-p', config.DIR_DATA_PREFIX) logger.info('Start data preparation') logger.info('Start to download data') download_constituency_area_data.main() logger.info('Start to extract data from xls to JSON') extract_data_from_xls.main() logger.info('Generate unified geo-naming information') geo_naming.main() logger.info('Combine JSONs to single CSV') combine_json.main() logger.info('Appending public facility data') public_facilities.main() # Data preparation pipeline is for general purpose. # The following generates translation maps for our frontend use, # and the output is under version control. # So it is removed from the pipeline. # # Translation maintainer should manually execute it and commit new files. # #logger.info('Convert translation dicts to i18next format') #translation_for_i18next.main()

25.878049

73

0.812441

155

1,061

5.393548

0.43871

0.083732

0.066986

0.064593

0

0.006376

0.113101

1,061

40

74

26.525

0.88204

0.329877

0

0.256776

0

1

0

true

0

0.409091

0

0.409091

0.045455

0

null

0

null

0

1

0

1

0

2

c6eff97b974ce0ef264ee680260232ccbd58f94b

3,705

py

Python

top.py

hao707822882/Bichon

54092e69c9316ee592ee392dc85e1f7fd0c47b68

[ "Apache-2.0" ]

null

top.py

hao707822882/Bichon

54092e69c9316ee592ee392dc85e1f7fd0c47b68

[ "Apache-2.0" ]

null

top.py

hao707822882/Bichon

54092e69c9316ee592ee392dc85e1f7fd0c47b68

[ "Apache-2.0" ]

null

#!/usr/bin/env python # Copyright (c) 2009, Giampaolo Rodola'. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. """ A clone of top / htop. Author: Giampaolo Rodola' <g.rodola@gmail.com> $ python examples/top.py CPU0 [| ] 4.9% CPU1 [||| ] 7.8% CPU2 [ ] 2.0% CPU3 [||||| ] 13.9% Mem [||||||||||||||||||| ] 49.8% 4920M/9888M Swap [ ] 0.0% 0M/0M Processes: 287 (running=1 sleeping=286) Load average: 0.34 0.54 0.46 Uptime: 3 days, 10:16:37 PID USER NI VIRT RES CPU% MEM% TIME+ NAME ------------------------------------------------------------ 989 giampaol 0 66M 12M 7.4 0.1 0:00.61 python 2083 root 0 506M 159M 6.5 1.6 0:29.26 Xorg 4503 giampaol 0 599M 25M 6.5 0.3 3:32.60 gnome-terminal 3868 giampaol 0 358M 8M 2.8 0.1 23:12.60 pulseaudio 3936 giampaol 0 1G 111M 2.8 1.1 33:41.67 compiz 4401 giampaol 0 536M 141M 2.8 1.4 35:42.73 skype 4047 giampaol 0 743M 76M 1.8 0.8 42:03.33 unity-panel-service 13155 giampaol 0 1G 280M 1.8 2.8 41:57.34 chrome 10 root 0 0B 0B 0.9 0.0 4:01.81 rcu_sched 339 giampaol 0 1G 113M 0.9 1.1 8:15.73 chrome ... """ from datetime import datetime from datetime import timedelta import atexit import os import sys import time import psutil lineno = 0 def bytes2human(n): """ >>> bytes2human(10000) '9K' >>> bytes2human(100001221) '95M' """ symbols = ('K', 'M', 'G', 'T', 'P', 'E', 'Z', 'Y') prefix = {} for i, s in enumerate(symbols): prefix[s] = 1 << (i + 1) * 10 for s in reversed(symbols): if n >= prefix[s]: value = int(float(n) / prefix[s]) return '%s%s' % (value, s) return "%sB" % n # def poll(interval): # sleep some time # # return processes sorted by CPU percent usage # processes = sorted(procs, key=lambda p: p.dict['cpu_percent'], # reverse=True) # return processes def print_header(procs_status, num_procs): """Print system-related info, above the process list.""" def refresh_window(procs): """Print results on screen by using curses.""" print "---------------------------------------" #for p in procs: # TIME+ column shows process CPU cumulative time and it # is expressed as: "mm:ss.ms" #print p.dict['cpu_percent'] def main(): try: interval = 1 for p in psutil.process_iter(): try: p.dict = p.as_dict(['username', 'nice', 'memory_info', 'memory_percent', 'cpu_percent', 'cpu_times', 'name', 'status']) print p.dict["cpu_percent"] except psutil.NoSuchProcess: pass print "----------------------------------" time.sleep(interval) for p in psutil.process_iter(): try: p.dict = p.as_dict(['username', 'nice', 'memory_info', 'memory_percent', 'cpu_percent', 'cpu_times', 'name', 'status']) print p.dict["cpu_percent"] except psutil.NoSuchProcess: pass except (KeyboardInterrupt, SystemExit): pass if __name__ == '__main__': main()

29.173228

75

0.48556

468

3,705

3.782051

0.49359

0.040678

0.018079

0.033898

0.180791

0.169492

0

0.113859

0.367072

3,705

127

76

29.173228

0.640938

0.134143

0

0.391304

0

0.152174

0.044082

0

null

0.065217

0.152174

null

0.108696

0

null

0

null

0

1

0

1

0

2

c6f489678bdd92fad0aa56de553d0c9827d2a18f

910

py

Python

phangsPipeline/__init__.py

low-sky/phangs_imaging_scripts

7d60e8ef4d70e81442f46c844829ab70cbc62500

[ "MIT" ]

null

phangsPipeline/__init__.py

low-sky/phangs_imaging_scripts

7d60e8ef4d70e81442f46c844829ab70cbc62500

[ "MIT" ]

null

phangsPipeline/__init__.py

low-sky/phangs_imaging_scripts

7d60e8ef4d70e81442f46c844829ab70cbc62500

[ "MIT" ]

null

# Licensed under a MIT license - see LICENSE.rst # Packages may add whatever they like to this file, but # should keep this content at the top. # ---------------------------------------------------------------------------- from ._astropy_init import * # noqa # ---------------------------------------------------------------------------- from .casa_check import is_casa_installed casa_enabled = is_casa_installed() from .phangsLogger import setup_logger from .handlerKeys import KeyHandler from .handlerSingleDish import SingleDishHandler from .handlerVis import VisHandler from .handlerPostprocess import PostProcessHandler from .handlerDerived import DerivedHandler if casa_enabled: from .handlerImaging import ImagingHandler __all__ = ["setup_logger", "KeyHandler", "SingleDishHandler", "VisHandler", "PostProcessHandler", "DerivedHandler"] if casa_enabled: __all__.append("ImagingHandler")

35

115

0.665934

88

910

6.659091

0.579545

0.056314

0.051195

0.09215

0

0.112088

910

25

116

36.4

0.725248

0.325275

0

0.142857

0

0.156507

0

1

0

false

0

0.642857

0

0.642857

0

null

0

null

0

1

0

1

0

2

c6fcc9cbca56f5df041a4ed9ea2f7598577810cf

7,168

py

Python

nova/tests/unit/fake_processutils.py

bopopescu/nova-token

ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2

[ "Apache-2.0" ]

null

nova/tests/unit/fake_processutils.py

bopopescu/nova-token

ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2

[ "Apache-2.0" ]

null

nova/tests/unit/fake_processutils.py

bopopescu/nova-token

ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2

[ "Apache-2.0" ]

2

2017-07-20T17:31:34.000Z

2020-07-24T02:42:19.000Z

begin_unit comment|'# Copyright (c) 2011 Citrix Systems, Inc.' nl|'\n' comment|'#' nl|'\n' comment|'# Licensed under the Apache License, Version 2.0 (the "License"); you may' nl|'\n' comment|'# not use this file except in compliance with the License. You may obtain' nl|'\n' comment|'# a copy of the License at' nl|'\n' comment|'#' nl|'\n' comment|'# http://www.apache.org/licenses/LICENSE-2.0' nl|'\n' comment|'#' nl|'\n' comment|'# Unless required by applicable law or agreed to in writing, software' nl|'\n' comment|'# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT' nl|'\n' comment|'# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the' nl|'\n' comment|'# License for the specific language governing permissions and limitations' nl|'\n' comment|'# under the License.' nl|'\n' nl|'\n' string|'"""This modules stubs out functions in oslo_concurrency.processutils."""' newline|'\n' nl|'\n' name|'import' name|'re' newline|'\n' nl|'\n' name|'from' name|'eventlet' name|'import' name|'greenthread' newline|'\n' name|'from' name|'oslo_concurrency' name|'import' name|'processutils' newline|'\n' name|'from' name|'oslo_log' name|'import' name|'log' name|'as' name|'logging' newline|'\n' name|'import' name|'six' newline|'\n' nl|'\n' DECL|variable|LOG name|'LOG' op|'=' name|'logging' op|'.' name|'getLogger' op|'(' name|'__name__' op|')' newline|'\n' nl|'\n' DECL|variable|_fake_execute_repliers name|'_fake_execute_repliers' op|'=' op|'[' op|']' newline|'\n' DECL|variable|_fake_execute_log name|'_fake_execute_log' op|'=' op|'[' op|']' newline|'\n' nl|'\n' nl|'\n' DECL|function|fake_execute_get_log name|'def' name|'fake_execute_get_log' op|'(' op|')' op|':' newline|'\n' indent|' ' name|'return' name|'_fake_execute_log' newline|'\n' nl|'\n' nl|'\n' DECL|function|fake_execute_clear_log dedent|'' name|'def' name|'fake_execute_clear_log' op|'(' op|')' op|':' newline|'\n' indent|' ' name|'global' name|'_fake_execute_log' newline|'\n' name|'_fake_execute_log' op|'=' op|'[' op|']' newline|'\n' nl|'\n' nl|'\n' DECL|function|fake_execute_set_repliers dedent|'' name|'def' name|'fake_execute_set_repliers' op|'(' name|'repliers' op|')' op|':' newline|'\n' indent|' ' string|'"""Allows the client to configure replies to commands."""' newline|'\n' name|'global' name|'_fake_execute_repliers' newline|'\n' name|'_fake_execute_repliers' op|'=' name|'repliers' newline|'\n' nl|'\n' nl|'\n' DECL|function|fake_execute_default_reply_handler dedent|'' name|'def' name|'fake_execute_default_reply_handler' op|'(' op|'*' name|'ignore_args' op|',' op|'**' name|'ignore_kwargs' op|')' op|':' newline|'\n' indent|' ' string|'"""A reply handler for commands that haven\'t been added to the reply list.\n\n Returns empty strings for stdout and stderr.\n\n """' newline|'\n' name|'return' string|"''" op|',' string|"''" newline|'\n' nl|'\n' nl|'\n' DECL|function|fake_execute dedent|'' name|'def' name|'fake_execute' op|'(' op|'*' name|'cmd_parts' op|',' op|'**' name|'kwargs' op|')' op|':' newline|'\n' indent|' ' string|'"""This function stubs out execute.\n\n It optionally executes a preconfigued function to return expected data.\n\n """' newline|'\n' name|'global' name|'_fake_execute_repliers' newline|'\n' nl|'\n' name|'process_input' op|'=' name|'kwargs' op|'.' name|'get' op|'(' string|"'process_input'" op|',' name|'None' op|')' newline|'\n' name|'check_exit_code' op|'=' name|'kwargs' op|'.' name|'get' op|'(' string|"'check_exit_code'" op|',' number|'0' op|')' newline|'\n' name|'delay_on_retry' op|'=' name|'kwargs' op|'.' name|'get' op|'(' string|"'delay_on_retry'" op|',' name|'True' op|')' newline|'\n' name|'attempts' op|'=' name|'kwargs' op|'.' name|'get' op|'(' string|"'attempts'" op|',' number|'1' op|')' newline|'\n' name|'run_as_root' op|'=' name|'kwargs' op|'.' name|'get' op|'(' string|"'run_as_root'" op|',' name|'False' op|')' newline|'\n' name|'cmd_str' op|'=' string|"' '" op|'.' name|'join' op|'(' name|'str' op|'(' name|'part' op|')' name|'for' name|'part' name|'in' name|'cmd_parts' op|')' newline|'\n' nl|'\n' name|'LOG' op|'.' name|'debug' op|'(' string|'"Faking execution of cmd (subprocess): %s"' op|',' name|'cmd_str' op|')' newline|'\n' name|'_fake_execute_log' op|'.' name|'append' op|'(' name|'cmd_str' op|')' newline|'\n' nl|'\n' name|'reply_handler' op|'=' name|'fake_execute_default_reply_handler' newline|'\n' nl|'\n' name|'for' name|'fake_replier' name|'in' name|'_fake_execute_repliers' op|':' newline|'\n' indent|' ' name|'if' name|'re' op|'.' name|'match' op|'(' name|'fake_replier' op|'[' number|'0' op|']' op|',' name|'cmd_str' op|')' op|':' newline|'\n' indent|' ' name|'reply_handler' op|'=' name|'fake_replier' op|'[' number|'1' op|']' newline|'\n' name|'LOG' op|'.' name|'debug' op|'(' string|"'Faked command matched %s'" op|',' name|'fake_replier' op|'[' number|'0' op|']' op|')' newline|'\n' name|'break' newline|'\n' nl|'\n' dedent|'' dedent|'' name|'if' name|'isinstance' op|'(' name|'reply_handler' op|',' name|'six' op|'.' name|'string_types' op|')' op|':' newline|'\n' comment|'# If the reply handler is a string, return it as stdout' nl|'\n' indent|' ' name|'reply' op|'=' name|'reply_handler' op|',' string|"''" newline|'\n' dedent|'' name|'else' op|':' newline|'\n' indent|' ' name|'try' op|':' newline|'\n' comment|'# Alternative is a function, so call it' nl|'\n' indent|' ' name|'reply' op|'=' name|'reply_handler' op|'(' name|'cmd_parts' op|',' nl|'\n' name|'process_input' op|'=' name|'process_input' op|',' nl|'\n' name|'delay_on_retry' op|'=' name|'delay_on_retry' op|',' nl|'\n' name|'attempts' op|'=' name|'attempts' op|',' nl|'\n' name|'run_as_root' op|'=' name|'run_as_root' op|',' nl|'\n' name|'check_exit_code' op|'=' name|'check_exit_code' op|')' newline|'\n' dedent|'' name|'except' name|'processutils' op|'.' name|'ProcessExecutionError' name|'as' name|'e' op|':' newline|'\n' indent|' ' name|'LOG' op|'.' name|'debug' op|'(' string|"'Faked command raised an exception %s'" op|',' name|'e' op|')' newline|'\n' name|'raise' newline|'\n' nl|'\n' dedent|'' dedent|'' name|'LOG' op|'.' name|'debug' op|'(' string|'"Reply to faked command is stdout=\'%(stdout)s\' "' nl|'\n' string|'"stderr=\'%(stderr)s\'"' op|',' op|'{' string|"'stdout'" op|':' name|'reply' op|'[' number|'0' op|']' op|',' string|"'stderr'" op|':' name|'reply' op|'[' number|'1' op|']' op|'}' op|')' newline|'\n' nl|'\n' comment|'# Replicate the sleep call in the real function' nl|'\n' name|'greenthread' op|'.' name|'sleep' op|'(' number|'0' op|')' newline|'\n' name|'return' name|'reply' newline|'\n' nl|'\n' nl|'\n' DECL|function|stub_out_processutils_execute dedent|'' name|'def' name|'stub_out_processutils_execute' op|'(' name|'stubs' op|')' op|':' newline|'\n' indent|' ' name|'fake_execute_set_repliers' op|'(' op|'[' op|']' op|')' newline|'\n' name|'fake_execute_clear_log' op|'(' op|')' newline|'\n' name|'stubs' op|'.' name|'Set' op|'(' name|'processutils' op|',' string|"'execute'" op|',' name|'fake_execute' op|')' newline|'\n' dedent|'' endmarker|'' end_unit

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7,168

4.086636

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0.042174

0.541046

0.41723

0.294317

0.179522

0.122463

0.091791

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0.002506

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7,168

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14.995816

0.692043

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0.435965

0.053153

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1

0

true

0

0.01046

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0.01046

0

null

0

1

0

null

0

1

0

2

05a09c59f42d79343103ac5e44a06cea594a1201

675

py

Python

top2vec/configuration_top2vec.py

shpotes/top2vec

edf36fc5a81e03235cbffa2aa17c91937410b29f

[ "Apache-2.0" ]

null

top2vec/configuration_top2vec.py

shpotes/top2vec

edf36fc5a81e03235cbffa2aa17c91937410b29f

[ "Apache-2.0" ]

null

top2vec/configuration_top2vec.py

shpotes/top2vec

edf36fc5a81e03235cbffa2aa17c91937410b29f

[ "Apache-2.0" ]

null

from transformers.configuration_utils import PretrainedConfig from transformers.utils import logging logger = logging.get_logger(__name__) class Top2VecConfig(PretrainedConfig): r""" :class:`Top2VecConfig` is the configuration class to store the configuration of a :class:`~Top2VecModel`. It is used to instantiate a Top2Vec model according to the specified arguments, defining the defining the model architecture. Configuration objects inherit from :class:`~transformers.PretrainedConfig` and can be used to control the model outputs. Read the documentation from :class:`~transformers.PretrainedConfig` for more information. """ pass

42.1875

89

0.777778

80

675

6.4875

0.5375

0.061657

0.080925

0.142582

0

0.007067

0.161481

675

16

90

42.1875

0.909894

0.657778

0

1

0

false

0.166667

0.333333

0

0.5

0

null

0

null

0

1

0

2

05a1ba3132402582cd7e2a98818df2839f7bfe6e

436

py

Python

201214/step_01.py

kurganITteacher/python-basics

a398c0e90ee76969d3fa4b8a0aa0a9cdd43f7af0

[ "Apache-2.0" ]

null

201214/step_01.py

kurganITteacher/python-basics

a398c0e90ee76969d3fa4b8a0aa0a9cdd43f7af0

[ "Apache-2.0" ]

null

201214/step_01.py

kurganITteacher/python-basics

a398c0e90ee76969d3fa4b8a0aa0a9cdd43f7af0

[ "Apache-2.0" ]

1

2020-10-11T16:05:00.000Z

def show_user(user): print('имя:', user[0]) print('фамилия:', user[2]) print('возраст:', user[3]) user_1 = ['Иван', 'Иванович', 'Иванов', 21, 'г.Курган'] # 0 1 2 3 4 user_2 = ['Петр', 'Петрович', 'Петров', 19, 'г.Далматово'] user_3 = ['Сидорова', 'Валерьевна', 'Оксана', 23, 'г.Шадринск'] # show_user(user_1) # show_user(user_2) # show_user(user_3) for el in user_1: print(el)

24.222222

63

0.557339

64

436

3.625

0.484375

0.137931

0.206897

0

0.063444

0.240826

436

17

64

25.647059

0.637462

0.211009

0

0.331307

0

1

0.111111

false

0

0.111111

0.444444

0

null

0

1

0

null

0

1

0

2

05ba3a011d75ac8d190937c8a318b1cb85575559

1,324

py

Python

tensorflow/python/ipu/ops/experimental/popfloat_ops_grad.py

chenzhengda/tensorflow

8debb698097670458b5f21d728bc6f734a7b5a53

[ "Apache-2.0" ]

74

2020-07-06T17:11:39.000Z

2022-01-28T06:31:28.000Z

tensorflow/python/ipu/ops/experimental/popfloat_ops_grad.py

chenzhengda/tensorflow

8debb698097670458b5f21d728bc6f734a7b5a53

[ "Apache-2.0" ]

9

2020-10-13T23:25:29.000Z

2022-02-10T06:54:48.000Z

tensorflow/python/ipu/ops/experimental/popfloat_ops_grad.py

chenzhengda/tensorflow

8debb698097670458b5f21d728bc6f734a7b5a53

[ "Apache-2.0" ]

12

2020-07-08T07:27:17.000Z

2021-12-27T08:54:27.000Z

# Copyright 2019 The TensorFlow Authors. 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. # ============================================================================== """Gradients for Popfloat operators.""" from tensorflow.python.framework import ops """ These gradient function should *never* be called directly. """ @ops.RegisterGradient("CalcGfloatParams") def _calc_gfloat_params_backward(op, *grads): """Gradients for the CalcGfloatParams op.""" return None @ops.RegisterGradient("CastNativeToGfloat") def _cast_native_to_gfloat_backward(op, *grads): """Gradients for the CastToGfloat op.""" return [grads[0], None] @ops.RegisterGradient("CastGfloatToNative") def _cast_gfloat_to_native_backward(op, *grads): """Gradients for the CastFromGfloat op.""" return [grads[0], None]

35.783784

80

0.713746

169

1,324

5.508876

0.585799

0.064447

0.048335

0.077336

0.135338

0.09667

0

0.008734

0.135196

1,324

36

81

36.777778

0.804367

0.608761

0

0.2

0

0.125604

0

1

0.3

false

0

0.1

0

0.7

0

null

0

null

0

1

0

1

0

2

05c2eb28dd4d34747e85c37c6545aa3547c74bfe

775

py

Python

bindings/python/tests/varargs.py

mewbak/dragonffi

2a205dbe4dd980d5dd53026c871514795573a7fb

[ "Apache-2.0" ]

null

bindings/python/tests/varargs.py

mewbak/dragonffi

2a205dbe4dd980d5dd53026c871514795573a7fb

[ "Apache-2.0" ]

null

bindings/python/tests/varargs.py

mewbak/dragonffi

2a205dbe4dd980d5dd53026c871514795573a7fb

[ "Apache-2.0" ]

null

# RUN: "%python" "%s" | "%FileCheck" "%s" # import pydffi F = pydffi.FFI() CU = F.cdef(''' #include <stdarg.h> #include <stdio.h> #include <stdint.h> void print(const char* prefix, ...) { va_list args; va_start(args, prefix); while (1) { int16_t v = va_arg(args, int16_t); if (v == 0) break; printf("%s: %d\\n", prefix, v); } va_end(args); } ''') print_ = getattr(CU.funcs, "print") # CHECK: pref: 1 print_("pref", F.Int16Ty(1), F.Int16Ty(0)) # CHECK: pref: -1 print_("pref", F.Int16Ty(-1), F.Int16Ty(0)) # CHECK: pref: 1 # CHECK: pref: -1 print_("pref", F.Int16Ty(1), F.Int16Ty(0)) print_("pref", F.Int16Ty(-1), F.Int16Ty(0)) # CHECK: pref: 1 # CHECK: pref: -1 print_("pref", F.Int16Ty(1), F.Int16Ty(0)) print_("pref", F.Int16Ty(-1), F.Int16Ty(0))

20.394737

43

0.596129

128

775

3.507813

0.328125

0.213808

0.13363

0.227171

0.494432

0

0.073846

0.16129

775

37

44

20.945946

0.616923

0.170323

0

0.24

0

0.479495

0

1

0

false

0

0.04

0

0.04

0.36

0

null

1

0

1

0

null

0

2

05c30aaeb0dcbe5f7b955869b6f67650a025a8c9

3,620

py

Python

uvicore/database/OBSOLETE/db_OLD_sync.py

coboyoshi/uvicore

9cfdeeac83000b156fe48f068b4658edaf51c8de

[ "MIT" ]

11

2021-03-22T22:07:49.000Z

2022-03-08T16:18:33.000Z

uvicore/database/OBSOLETE/db_OLD_sync.py

coboyoshi/uvicore

9cfdeeac83000b156fe48f068b4658edaf51c8de

[ "MIT" ]

12

2021-03-04T05:51:24.000Z

2021-09-22T05:16:18.000Z

uvicore/database/OBSOLETE/db_OLD_sync.py

coboyoshi/uvicore

9cfdeeac83000b156fe48f068b4658edaf51c8de

[ "MIT" ]

2

2021-03-25T14:49:56.000Z

2021-11-17T23:20:29.000Z

import uvicore from typing import Dict, List from uvicore.contracts import Connection from uvicore.contracts import Database as DatabaseInterface from uvicore.support.dumper import dd, dump import sqlalchemy as sa # from sqlalchemy import MetaData as SaMetaData # from sqlalchemy.engine import Engine as SaEngine # from sqlalchemy.engine import Connection as SaConnection class _Db(DatabaseInterface): @property def default(self) -> str: return self._default @property def connections(self) -> Dict[str, Connection]: return self._connections @property def engines(self) -> Dict[str, str]: return self._engines @property def metadatas(self) -> Dict[str, sa.MetaData]: return self._metadatas @default.setter def default(self, value: str) -> None: self._default = value def __init__(self) -> None: self._default = None self._connections = {} self._engines = {} self._metadatas = {} def init(self, default: str, connections: List[Connection]) -> None: self._default = default for connection in connections: self._connections[connection.name] = connection self._engines[connection.metakey] = sa.create_engine(connection.url) self._metadatas[connection.metakey] = sa.MetaData() def packages(self, connection: str = None, metakey: str = None) -> Connection: """Get all packages with the metakey derived from the connection name or passed in metakey. """ if not metakey: if not connection: connection = self.default metakey = self.connection(connection).metakey packages = [] for package in uvicore.app.packages.values(): for conn in package.connections: if conn.metakey == metakey: packages.append(package) return packages def connection(self, connection: str = None) -> Connection: """Get one connection by connection name""" if not connection: connection = self.default return self.connections.get(connection) def metadata(self, connection: str = None, metakey: str = None) -> sa.MetaData: """Get one metadata by connection name or metakey""" if metakey: return self.metadatas.get(metakey) else: if not connection: connection = self.default metakey = self.connection(connection).metakey return self.metadatas.get(metakey) def engine(self, connection: str = None, metakey: str = None) -> sa.engine.Engine: """get one engine by connection name or metakey""" if metakey: return self.engines.get(metakey) else: if not connection: connection = self.default metakey = self.connection(connection).metakey return self.engines.get(metakey) def connect(self, connection: str = None, metakey: str = None) -> sa.engine.Connection: """Connect to one engine by connection name or metakey""" if metakey: return self.engine(metakey=metakey).connect() else: if not connection: connection = self.default return self.engine(connection).connect() def execute(self, entity, *args, **kwargs): conn = self.connect(entity.__connection__) return conn.execute(*args, **kwargs) def fetchone(self, entity, query): return self.execute(entity, query).fetchone() def fetchall(self, entity, query): return self.execute(entity, query).fetchall()

34.807692

91

0.643094

403

3,620

5.719603

0.173697

0.056399

0.036876

0.045553

0.352278

0.329718

0.312798

0.219523

0.163124

0

0.26326

3,620

103

92

35.145631

0.864267

0.116851

0

0.30137

0

1

0.205479

false

0

0.082192

0.506849

0

null

0

null

0

1

0

1

0

2

05cb3e4162d39f094fca41216679d69629de7c8d

68

py

Python

BOJ17174.py

INYEONGKIM/BOJ

5e83d77a92d18b0d20d26645c7cfe4ba3e2d25bc

[ "MIT" ]

2

2019-03-05T15:42:46.000Z

2019-07-24T15:52:36.000Z

BOJ17174.py

INYEONGKIM/BOJ

5e83d77a92d18b0d20d26645c7cfe4ba3e2d25bc

[ "MIT" ]

null

BOJ17174.py

INYEONGKIM/BOJ

5e83d77a92d18b0d20d26645c7cfe4ba3e2d25bc

[ "MIT" ]

null

n,m=map(int,input().split());r=0 while n>0: r+=n;n//=m print(r)

13.6

32

0.544118

17

68

2.176471

0.588235

0.108108

0

0.033898

0.132353

68

4

33

17

0.59322

0

1

0

false

0

0.25

1

0

null

0

1

0

null

0

2

05de904e37453461597a7ec7188e2d84c93dc859

2,806

py

Python

ws_icra2022/src/my_pkg/ur5_eyeInhand/frompitoangle.py

yanseim/Vision-Based-Control

4a92103d99703ac2a45d4ad8d01a663e29c0aa7d

[ "MIT" ]

null

ws_icra2022/src/my_pkg/ur5_eyeInhand/frompitoangle.py

yanseim/Vision-Based-Control

4a92103d99703ac2a45d4ad8d01a663e29c0aa7d

[ "MIT" ]

null

ws_icra2022/src/my_pkg/ur5_eyeInhand/frompitoangle.py

yanseim/Vision-Based-Control

4a92103d99703ac2a45d4ad8d01a663e29c0aa7d

[ "MIT" ]

null

#!/usr/bin/env python def getpi(listb): lista=[] listcc=[] for i in listb: temp=i/180*3.14 lista.append((temp,i)) listcc.append(temp) return lista def getangle(listb): lista=[] for i in listb: temp=i/3.14*180 lista.append((i,temp)) return lista def getangle_new(listb): lista=[] for i in listb: temp=i/3.14*180 lista.append(temp) return lista def display(listc): listpi=[] listangle=[] for i in listc: listpi.append(i[0]) listangle.append(i[1]) #print(i) print("pi====:",listpi) print("angle==:",listangle) return listpi def getpi_for_py(listc): listpi=[] listangle=[] for i in listc: listpi.append(i[0]) listangle.append(i[1]) #print(i) #print("pi====:",listpi) #print("angle==:",listangle) return listpi if __name__=="__main__": #joint_positions_inpi = [-1.565429989491598, -1.6473701635943812, 0.05049753189086914, -1.4097726980792444,-1.14049534956561487, -0.8895475069154912] #kk=getangle(joint_positions_inpi) #joint_position_inangle=[-89.73802487531454, -94.43523230795815, 2.894762974635811, -80.81499543129426, -65.37871430630913, -50.993169186238354] #aa=getpi(joint_position_inangle) #display(kk) reslut=[] #display(aa) Q0=[-0.69,-100.70,102.06,-174.24,-90.16,-45.35] Q1=[-0.69,-91.22,62.51,-151.14,-90.16,-45.36] #Q0=[-14.49,-49.08,69.91,-203.91,-75.70,-65.06] #Q1=[-0.12,-50.14,69.91,-199.52,-89.52,-65.07] Q2=[14.27,-44.13,32.03,-165.34,-100.79,-65.07] #Q23 = [8.24, -40.93, 15.51, -155.41, -97.56, -65.07] Q3=[8.24,-40.93,6.51,-146.41,-97.56,-65.07] Q4=[-0.55,-41.01,6.27,-151.46,-93.72,-65.07] Q5=[-15.41,-42.01,6.29,-144.16,-73.85,-65.07] Q6=[-16.84,-54.61,56.91,-186.31,-73.86,-65.08] Q7=[-3.04,-52.20,49.33,-180.78,-84.35,-65.07] Q8=[84.81, -124.65, -78.10, 99.59, -96.62, 89.99] Q9=[1.4794633333333334, -2.17445, -1.3624111111111112, 1.7372922222222222, -1.6854822222222223, 1.5698255555555556] Q10=[5.,-139.,-79.,-51.,91.,177.] # print getpi(Q10) display(getpi(Q10)) # display(getangle(Q9)) #display(getpi(Q0)) #reslut.append(display(getpi(Q8))) #display(getpi(Q1)) #reslut.append(display(getpi(Q1))) # display(getpi(Q2)) # reslut.append(display(getpi(Q2))) # #display(getpi(Q23)) # #reslut.append(display(getpi(Q23))) # display(getpi(Q3)) # reslut.append(display(getpi(Q3))) # display(getpi(Q4)) # reslut.append(display(getpi(Q4))) # display(getpi(Q5)) # reslut.append(display(getpi(Q5))) # display(getpi(Q6)) # reslut.append(display(getpi(Q6))) # display(getpi(Q7)) # reslut.append(display(getpi(Q7))) # print(reslut)

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05e7e76d6e1fca6bc6bee14678cf8bc1619a9c09

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py

Python

pirate/symbolic_regression/util.py

212726320/PIRATE-1

eac2d090286e0a5c13be4829259ea12cbda2f75c

[ "MIT" ]

null

pirate/symbolic_regression/util.py

212726320/PIRATE-1

eac2d090286e0a5c13be4829259ea12cbda2f75c

[ "MIT" ]

null

pirate/symbolic_regression/util.py

212726320/PIRATE-1

eac2d090286e0a5c13be4829259ea12cbda2f75c

[ "MIT" ]

1

2022-01-27T22:34:45.000Z

# File: util # File Created: Wednesday, 20th November 2019 3:56:01 pm # Author: Steven Atkinson (212726320@ge.com) from typing import Callable import deap.gp import torch from ..data.experiment import Experiment from ..function import Function def get_residual_function( op: Callable, experiment: Experiment, pset: deap.gp.PrimitiveSet ) -> Function: """ Create the parametric residual function r(x; Theta) :param op: Operator over functions, aka a graph as a compiled function :return: Callable with signature r(x, theta_0=val, ...theta_m-1=val) """ # TODO would like to make it easier to see how many parameters "op" expects def residual(x, **parameters): # First, evaluate the operator over functions and parameters: func = op( *[experiment.left_hand_side[key] for key in pset.arguments], **parameters ) # Then, subtract the inhomogeneous function if experiment.inhomogeneous is not None: func = func - experiment.inhomogeneous return func(x) return residual def tensor_to_parameter_dict(x: torch.Tensor) -> dict: """ Take an array of parameter values and restructure it as a dict that's a valid input for the **parameters kwarg for a residual function returned by `get_residual_function()` :param x: 1D array of parameters :return: (dict) parameter specification """ return {"theta_%i" % i: val for i, val in enumerate(x)}

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af0e6ebdb9c748e825743a36b9af270de0a88c0a

1,511

py

Python

baseq/snv/docs.py

basedata10/baseq

0f1786c3392a51a6ec7cb0f32355cd28eaa5df29

[ "MIT" ]

1

2018-08-30T20:29:17.000Z

baseq/snv/docs.py

basedata10/baseq

0f1786c3392a51a6ec7cb0f32355cd28eaa5df29

[ "MIT" ]

null

baseq/snv/docs.py

basedata10/baseq

0f1786c3392a51a6ec7cb0f32355cd28eaa5df29

[ "MIT" ]

null

doc=""" #Enrich Quality baseq-SNV qc_enrich ./bam ./bedfile ./out #Alignment baseq-SNV run_bwa -1 Read1M.P457.1.fq.gz -2 Read1M.P457.2.fq.gz -g hg38 -n Test -o Test.bam -t 10 #MarkDuplicate baseq-SNV run_markdup -b Test.bam -m Test.marked.bam #bqsr baseq-SNV run_bqsr -m Test.marked.bam -g hg38 -q Test.marked.bqsr.bam #call variants baseq-SNV run_callvar -q Test.marked.bqsr.bam -r Test.raw.indel.snp.vcf -g hg38 #select variants baseq-SNV run_selectvar -r Test.raw.indel.snp.vcf -s Test.raw.snp.vcf -f Test.filtered.snp.vcf -g hg38 #annovar annotation baseq-SNV run_annovar -g hg38 -n Test -f Test.filtered.snp.vcf -a Test.snps.avinput #run gatk pipeline baseq-SNV run_gatkpipe -1 Read1M.P457.1.fq.gz -2 Read1M.P457.2.fq.gz -n Test -g hg38 -d ./ #run gatk pipeline from bam file baseq-SNV run_gatkpipe -m #create PoN files baseq-SNV create_pon -p /mnt/gpfs/Users/wufan/p12_HEC/GATK/baseq_mutect_test/ -l /mnt/gpfs/Users/wufan/p12_HEC/GATK/28wuchen/mutect_call.txt -L /mnt/gpfs/Users/wufan/p12_HEC/GATK/28wuchen/merge.all.target.1.list -g hg37 #single mutect:/mnt/gpfs/Users/wufan/p12_HEC/GATK/28wuchen/N506/ baseq-SNV run_mutect2 -g hg37 -n N506 -N N506_marked_bqsr.bam -t T506 -T T506_marked_bqsr.bam -o ./ #filter mutect call baseq-SNV filter_mutect_call -r /mnt/gpfs/Users/wufan/p12_HEC/GATK/resources/ref_b37/small_exac_common_3_b37.vcf.gz -s /mnt/gpfs/Users/wufan/p12_HEC/GATK/mutect_test/T506.vcf.gz -T /mnt/gpfs/Users/wufan/p12_HEC/GATK/28wuchen/T506/T506_marked_bqsr.bam -o ./ -t T506 """

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246

py

Python

Python/Errors-and-Exceptions/incorrect-regex.py

ekant1999/HackerRank

084d4550b4eaf130837ab26a4efdbcaf8b667cdc

[ "MIT" ]

9

2017-03-19T16:27:31.000Z

2022-02-17T11:42:21.000Z

Python/Errors-and-Exceptions/incorrect-regex.py

ekant1999/HackerRank

084d4550b4eaf130837ab26a4efdbcaf8b667cdc

[ "MIT" ]

null

Python/Errors-and-Exceptions/incorrect-regex.py

ekant1999/HackerRank

084d4550b4eaf130837ab26a4efdbcaf8b667cdc

[ "MIT" ]

6

2019-02-18T11:26:24.000Z

2022-03-21T14:13:15.000Z

# Enter your code here. Read input from STDIN. Print output to STDOUT import re t = int(raw_input()) for i in range(t): try: x = re.compile(raw_input()) if x: print True except: print False

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af4195bc1ea026174c050f1c4d310f8ae19a4317

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py

Python

src/ovals.py

CTimmerman/PyPico8

a68c83ae5a9dc53221ab39d6e55bb68bb5a1e479

[ "MIT" ]

null

src/ovals.py

CTimmerman/PyPico8

a68c83ae5a9dc53221ab39d6e55bb68bb5a1e479

[ "MIT" ]

null

src/ovals.py

CTimmerman/PyPico8

a68c83ae5a9dc53221ab39d6e55bb68bb5a1e479

[ "MIT" ]

null

"""Ovals ported from https://www.lexaloffle.com/bbs/?tid=38665 TODO: Fix character patterns. """ # flake8:noqa from pypico8 import * printh( pico8_to_python( r""" pattern={[0]= …,∧,░,⧗,▤,✽,★,✽, ˇ,░,▤,♪,░,✽,★,☉, ░,▤,♪,░,✽,★,☉,…, ∧,░,⧗,▤,✽,★,✽,★ } function _draw() cls(1) for i=0,31/32,1/32 do local x=64+cos(i+t()/8)*48 local y=64+sin(i+t()/8)*44 local w=8+cos(i*2+t()/2)*6 local h=8+sin(i*3+t()/2)*6 fillp(pattern[i*32]) ovalfill(x-w,y-h,x+w,y+h, (i*32)%8+8) end print("pico-8 0.2.1",40,62,13) end """ ) ) def _init(): global pattern # fmt: off pattern = [ "…","∧","░","⧗","▤","✽","★","✽", "ˇ","░","▤","♪","░","✽","★","☉", "░","▤","♪","░","✽","★","☉","…", "∧","░","⧗","▤","✽","★","✽","★", ] # fmt: on def _update(): pass def _draw(): cls(1) i = 0 while i <= 31 / 32: x = 64 + cos(i + t() / 8) * 48 y = 64 + sin(i + t() / 8) * 44 w = 8 + cos(i * 2 + t() / 2) * 6 h = 8 + sin(i * 3 + t() / 2) * 6 fillp(pattern[int(i * 32)]) ovalfill(x - w, y - h, x + w, y + h, (i * 32) % 8 + 8) i += 1 / 32 print("PICO-8 0.2.1", 40, 62, 13) run(_init, _update, _draw)

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af516fa3ba27b060e07e80c89c7397cde58dac91

1,863

py

Python

dfvo/libs/geometry/reprojection.py

best-of-acrv/toposlam

3ec1dda210722d86bf77f101dca57ba27baa5833

[ "BSD-3-Clause" ]

26

2021-06-21T09:31:30.000Z

2022-03-22T12:08:58.000Z

dfvo/libs/geometry/reprojection.py

best-of-acrv/toposlam

3ec1dda210722d86bf77f101dca57ba27baa5833

[ "BSD-3-Clause" ]

1

2021-06-22T12:47:13.000Z

2021-06-30T23:17:57.000Z

dfvo/libs/geometry/reprojection.py

best-of-acrv/toposlam

3ec1dda210722d86bf77f101dca57ba27baa5833

[ "BSD-3-Clause" ]

2

2021-09-02T06:04:12.000Z

2021-12-17T05:44:25.000Z

'''''' ''' @Author: Huangying Zhan (huangying.zhan.work@gmail.com) @Date: 2019-09-01 @Copyright: Copyright (C) Huangying Zhan 2020. All rights reserved. Please refer to the license file. @LastEditTime: 2020-05-27 @LastEditors: Huangying Zhan @Description: Layer to transform pixel coordinates from one view to another view via backprojection, transformation in 3D, and projection ''' import torch import torch.nn as nn from dfvo.libs.geometry.backprojection import Backprojection from dfvo.libs.geometry.transformation3d import Transformation3D from dfvo.libs.geometry.projection import Projection class Reprojection(nn.Module): """Layer to transform pixel coordinates from one view to another view via backprojection, transformation in 3D, and projection """ def __init__(self, height, width): """ Args: height (int): image height width (int): image width """ super(Reprojection, self).__init__() # layers self.backproj = Backprojection(height, width) self.transform = Transformation3D() self.project = Projection(height, width) def forward(self, depth, T, K, inv_K, normalized=True): """Forward pass Args: depth (tensor, [Nx1xHxW]): depth map T (tensor, [Nx4x4]): transformation matrice inv_K (tensor, [Nx4x4]): inverse camera intrinsics K (tensor, [Nx4x4]): camera intrinsics normalized (bool): - True: normalized to [-1, 1] - False: [0, W-1] and [0, H-1] Returns: xy (NxHxWx2): pixel coordinates """ points3d = self.backproj(depth, inv_K) points3d_trans = self.transform(points3d, T) xy = self.project(points3d_trans, K, normalized) return xy

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0

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2

af5befdb12fe17c1adb267429dd5b06cccac3012

327

py

Python

Hackerrank/Stock Maximize/Stock Maximize.py

rahil-1407/Data-Structure-and-Algorithms

ea3eb9849aeb2716ef5812a0b5621a28120b1880

[ "MIT" ]

51

2021-01-14T04:05:55.000Z

2022-01-25T11:25:37.000Z

Hackerrank/Stock Maximize/Stock Maximize.py

rahil-1407/Data-Structure-and-Algorithms

ea3eb9849aeb2716ef5812a0b5621a28120b1880

[ "MIT" ]

638

2020-12-27T18:49:53.000Z

2021-11-21T05:22:52.000Z

Hackerrank/Stock Maximize/Stock Maximize.py

rahil-1407/Data-Structure-and-Algorithms

ea3eb9849aeb2716ef5812a0b5621a28120b1880

[ "MIT" ]

124

2021-01-30T06:40:20.000Z

2021-11-21T15:14:40.000Z

def stockmax(p): ind_max = p.index(max(p)) #find the max price inv = sum(p[:ind_max]) #split the array before and after max price pf = len(p[:ind_max])*p[ind_max] - inv #buy all stocks before max price if len(p[ind_max+1:]) > 0: pf += stockmax(p[ind_max+1:]) #then sell them at max price return pf

40.875

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1

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null

0

2

af6d9918ed41195425420db27e38e038e07c86e8

1,096

py

Python

tests/test_doc_upload.py

blue-yonder/devpi-acceptancetests

32d59c4948960d5471c7d10851e80f14d186a330

[ "BSD-3-Clause" ]

null

tests/test_doc_upload.py

blue-yonder/devpi-acceptancetests

32d59c4948960d5471c7d10851e80f14d186a330

[ "BSD-3-Clause" ]

20

2015-11-20T12:48:52.000Z

2021-03-16T00:15:29.000Z

tests/test_doc_upload.py

blue-yonder/devpi-acceptancetests

32d59c4948960d5471c7d10851e80f14d186a330

[ "BSD-3-Clause" ]

2

2016-03-09T13:25:39.000Z

2020-11-06T09:34:37.000Z

import requests from twitter.common.contextutil import pushd import unittest from devpi_plumber.server import TestServer from tests.config import NATIVE_PASSWORD, NATIVE_USER from tests.fixture import PACKAGE_VERSION, SOURCE_DIR from tests.utils import wait_until class DocUploadTests(unittest.TestCase): def test_upload(self): users = {NATIVE_USER: {'password': NATIVE_PASSWORD}} indices = {NATIVE_USER + '/index': {}} with TestServer(users=users, indices=indices) as devpi: devpi.use(NATIVE_USER, 'index') devpi.login(NATIVE_USER, NATIVE_PASSWORD) with pushd(SOURCE_DIR): devpi.upload(path=None, with_docs=True) def doc_present(version=PACKAGE_VERSION): return requests.get( devpi.server_url + "/{}/index/test-package/{}/+d/index.html".format(NATIVE_USER, version), ).status_code == 200, wait_until(doc_present, maxloop=300) self.assertTrue(doc_present('+latest')) self.assertTrue(doc_present('+stable'))

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null

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null

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2

af71b19523456cf3eb111125d5b90857585c2b94

309

py

Python

problems/linkedlist/Solution206.py

akalu/cs-problems-python

9b1bd8e3932be62135a38a77f955ded9a766b654

[ "MIT" ]

null

problems/linkedlist/Solution206.py

akalu/cs-problems-python

9b1bd8e3932be62135a38a77f955ded9a766b654

[ "MIT" ]

null

problems/linkedlist/Solution206.py

akalu/cs-problems-python

9b1bd8e3932be62135a38a77f955ded9a766b654

[ "MIT" ]

null

""" Reverse a singly linked list. Example: Input: 1->2->3->4->5->NULL Output: 5->4->3->2->1->NULL // 4 -> 5 -> 6 //prev cur nextTemp // 4 -> 5 -> 6 // prev cur nextTemp """ class Solution206: pass

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af83923c9100dc6ae4a0fe867d6f85a13ad53bef

2,396

py

Python

week_two_quiz.py

Ronlin1/cit_quiz_two

afb9cd676b833caf7f9f65a16ba8c857d6d72b6b

[ "MIT" ]

null

week_two_quiz.py

Ronlin1/cit_quiz_two

afb9cd676b833caf7f9f65a16ba8c857d6d72b6b

[ "MIT" ]

null

week_two_quiz.py

Ronlin1/cit_quiz_two

afb9cd676b833caf7f9f65a16ba8c857d6d72b6b

[ "MIT" ]

null

""" WEEK TWO QUIZ AS AT 05 MARCH 2020 ___PYTHON-BLOCKCHAIN-AWS-CIT-CLASS 2021___ """ # WELCOME SCREEN print('------------------------- WEEK TWO QUIZ --------------------------') # TODO: QUIZ ANSWERS # Global variable --->End of question separator in the ---- terminal ---- end_of_answer = '------------------------------------------------------------------' # 1 --> Identified, created and re-fixed a few errors. # 2 --> UNICODE? Converting a sting to unicode -UTF8 """ Unicode is a universal character encoding standard that assigns a code to every character and symbol in every language in the world. The difference between ASCII and Unicode is that ASCII represents lowercase letters (a-z), uppercase letters (A-Z), digits (0–9) and symbols such as punctuation marks while Unicode represents letters of English, Arabic, Greek etc.... UTF-8 is the most widely used way to represent Unicode text in web pages UTF-8 is a Unicode Transformation Format that uses 8-bit blocks to represent a character and is essential for software localization. """ # In Python 3 and higher, all strings are already in unicode, however, we can deode every letter # Using functions ord() and chr() my_string = "Hello World!" print(f'My String: {my_string}') my_string_decoded = [] for letter in my_string: my_string_decoded.append((ord(letter))) print(f'My String decoded: {my_string_decoded}') # Note : Unicode characters include space, comma, punctuations etc... # To convert back , we use chr() my_string_encoded_again = [] for i in my_string_decoded: my_string_encoded_again.append(chr(i)) print(f'Encoded: {my_string_encoded_again}') print('So we know H=72, e=101, l=108 and so on ... ') print(end_of_answer) print("\U0001F606") print("\N{grinning face}") # EMOJI CHALLENGE # importing emoji module import emoji # simple emoji print-outs print(emoji.emojize("Here we gat :grinning_face_with_big_eyes: and :winking_face_with_tongue: and :zipper-mouth_face:")) # without import -> Use of \N and {} specifies Unicode print("\N{cherry blossom}") print("\N{slightly smiling face}") print("\N{winking face}") # We can use shortcodes too print("\U0001f600 , \U0001F606 , \U0001F923, \U0001F601, \U0001F609, \U0001F60B, \U0001F60D, \U0001F680") print(end_of_answer) print(emoji.emojize("Yeah I think Python is :thumbs_up: and my favourite emoji is :nerd_face:"))

35.761194

120

0.699499

350

2,396

4.671429

0.514286

0.058716

0.045872

0.029358

0.081957

0

0.043222

0.15025

2,396

66

121

36.30303

0.759332

0.273372

0

0.083333

0

0.041667

0.571946

0.178281

0

0.015152

0

1

0

false

0

0.041667

0

0.041667

0.625

0

null

0

null

0

1

0

1

0

2

af89ecde19b8ea0aa6f7eec4d787b4af1c5c28e9

2,564

py

Python

VMD 3D Pose Baseline Multi-Objects/applications/VmdWriter.py

kyapp69/OpenMMD

795d4dd660cf7e537ceb599fdb038c5388b33390

[ "MIT" ]

717

2018-10-31T16:52:42.000Z

2022-03-31T16:13:47.000Z

VMD 3D Pose Baseline Multi-Objects/applications/VmdWriter.py

Pixis5566/OpenMMD

795d4dd660cf7e537ceb599fdb038c5388b33390

[ "MIT" ]

48

2018-11-08T12:16:43.000Z

2020-08-10T00:24:50.000Z

VMD 3D Pose Baseline Multi-Objects/applications/VmdWriter.py

Pixis5566/OpenMMD

795d4dd660cf7e537ceb599fdb038c5388b33390

[ "MIT" ]

180

2018-10-31T18:41:33.000Z

2022-03-27T23:49:06.000Z

# -*- coding: utf-8 -*- import struct from PyQt5.QtGui import QQuaternion, QVector3D class VmdBoneFrame(): def __init__(self, frame=0): self.name = '' self.frame = frame self.position = QVector3D(0, 0, 0) self.rotation = QQuaternion() def write(self, fout): fout.write(self.name) fout.write(bytearray([0 for i in range(len(self.name), 15)])) # ボーン名15Byteの残りを\0で埋める fout.write(struct.pack('<L', self.frame)) fout.write(struct.pack('<f', self.position.x())) fout.write(struct.pack('<f', self.position.y())) fout.write(struct.pack('<f', self.position.z())) v = self.rotation.toVector4D() fout.write(struct.pack('<f', v.x())) fout.write(struct.pack('<f', v.y())) fout.write(struct.pack('<f', v.z())) fout.write(struct.pack('<f', v.w())) fout.write(bytearray([0 for i in range(0, 64)])) # 補間パラメータ(64Byte) class VmdInfoIk(): def __init__(self, name='', onoff=0): self.name = name self.onoff = onoff class VmdShowIkFrame(): def __init__(self): self.frame = 0 self.show = 0 self.ik = [] def write(self, fout): fout.write(struct.pack('<L', self.frame)) fout.write(struct.pack('b', self.show)) fout.write(struct.pack('<L', len(self.ik))) for k in (self.ik): fout.write(k.name) fout.write(bytearray([0 for i in range(len(k.name), 20)])) # IKボーン名20Byteの残りを\0で埋める fout.write(struct.pack('b', k.onoff)) class VmdWriter(): def __init__(self): pass def write_vmd_file(self, filename, bone_frames, showik_frames): """Write VMD data to a file""" fout = open(filename, "wb") # header fout.write(b'Vocaloid Motion Data 0002\x00\x00\x00\x00\x00') fout.write(b'Dummy Model Name ') # bone frames fout.write(struct.pack('<L', len(bone_frames))) # ボーンフレーム数 for bf in bone_frames: bf.write(fout) fout.write(struct.pack('<L', 0)) # 表情キーフレーム数 fout.write(struct.pack('<L', 0)) # カメラキーフレーム数 fout.write(struct.pack('<L', 0)) # 照明キーフレーム数 fout.write(struct.pack('<L', 0)) # セルフ影キーフレーム数 if showik_frames == None: fout.write(struct.pack('<L', 0)) # モデル表示・IK on/offキーフレーム数 else: fout.write(struct.pack('<L', len(showik_frames))) # モデル表示・IK on/offキーフレーム数 for sf in showik_frames: sf.write(fout) fout.close()

34.648649

95

0.565523

343

2,564

4.16035

0.253644

0.16398

0.19972

0.252978

0.459005

0.40925

0.194114

0.140154

0.119131

0

0.026161

0.269501

2,564

73

96

35.123288

0.73465

0.087363

0

0.186441

0

0.044358

0.010336

0

1

0.118644

false

0.016949

0.033898

0

0.220339

0

null

0

1

0

null

0

2

af93a6ee9fb8f56c875213959c0b84e1cd07aefc

8,710

py

Python

mlflow/protos/databricks_artifacts_pb2.py

abhiramr/mlflow

2bbdc20f2d90d551fb7d40f982f2f799da9feca8

[ "Apache-2.0" ]

null

mlflow/protos/databricks_artifacts_pb2.py

abhiramr/mlflow

2bbdc20f2d90d551fb7d40f982f2f799da9feca8

[ "Apache-2.0" ]

null

mlflow/protos/databricks_artifacts_pb2.py

abhiramr/mlflow

2bbdc20f2d90d551fb7d40f982f2f799da9feca8

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- # Generated by the protocol buffer compiler. DO NOT EDIT! # source: databricks_artifacts.proto """Generated protocol buffer code.""" from google.protobuf.internal import enum_type_wrapper from google.protobuf import descriptor as _descriptor from google.protobuf import descriptor_pool as _descriptor_pool from google.protobuf import message as _message from google.protobuf import reflection as _reflection from google.protobuf import symbol_database as _symbol_database from google.protobuf import service as _service from google.protobuf import service_reflection # @@protoc_insertion_point(imports) _sym_db = _symbol_database.Default() from .scalapb import scalapb_pb2 as scalapb_dot_scalapb__pb2 from . import databricks_pb2 as databricks__pb2 DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n\x1a\x64\x61tabricks_artifacts.proto\x12\x06mlflow\x1a\x15scalapb/scalapb.proto\x1a\x10\x64\x61tabricks.proto\"\xdf\x01\n\x16\x41rtifactCredentialInfo\x12\x0e\n\x06run_id\x18\x01 \x01(\t\x12\x0c\n\x04path\x18\x02 \x01(\t\x12\x12\n\nsigned_uri\x18\x03 \x01(\t\x12:\n\x07headers\x18\x04 \x03(\x0b\x32).mlflow.ArtifactCredentialInfo.HttpHeader\x12,\n\x04type\x18\x05 \x01(\x0e\x32\x1e.mlflow.ArtifactCredentialType\x1a)\n\nHttpHeader\x12\x0c\n\x04name\x18\x01 \x01(\t\x12\r\n\x05value\x18\x02 \x01(\t\"\x95\x02\n\x15GetCredentialsForRead\x12\x14\n\x06run_id\x18\x01 \x01(\tB\x04\xf8\x86\x19\x01\x12\x0c\n\x04path\x18\x02 \x03(\t\x12\x12\n\npage_token\x18\x03 \x01(\t\x1a\x63\n\x08Response\x12\x38\n\x10\x63redential_infos\x18\x02 \x03(\x0b\x32\x1e.mlflow.ArtifactCredentialInfo\x12\x17\n\x0fnext_page_token\x18\x03 \x01(\tJ\x04\x08\x01\x10\x02:_\xe2?(\n&com.databricks.rpc.RPC[$this.Response]\xe2?1\n/com.databricks.mlflow.api.MlflowTrackingMessage\"\x96\x02\n\x16GetCredentialsForWrite\x12\x14\n\x06run_id\x18\x01 \x01(\tB\x04\xf8\x86\x19\x01\x12\x0c\n\x04path\x18\x02 \x03(\t\x12\x12\n\npage_token\x18\x03 \x01(\t\x1a\x63\n\x08Response\x12\x38\n\x10\x63redential_infos\x18\x02 \x03(\x0b\x32\x1e.mlflow.ArtifactCredentialInfo\x12\x17\n\x0fnext_page_token\x18\x03 \x01(\tJ\x04\x08\x01\x10\x02:_\xe2?(\n&com.databricks.rpc.RPC[$this.Response]\xe2?1\n/com.databricks.mlflow.api.MlflowTrackingMessage*V\n\x16\x41rtifactCredentialType\x12\x11\n\rAZURE_SAS_URI\x10\x01\x12\x15\n\x11\x41WS_PRESIGNED_URL\x10\x02\x12\x12\n\x0eGCP_SIGNED_URL\x10\x03\x32\xe4\x02\n DatabricksMlflowArtifactsService\x12\x9c\x01\n\x15getCredentialsForRead\x12\x1d.mlflow.GetCredentialsForRead\x1a&.mlflow.GetCredentialsForRead.Response\"<\xf2\x86\x19\x38\n4\n\x04POST\x12&/mlflow/artifacts/credentials-for-read\x1a\x04\x08\x02\x10\x00\x10\x03\x12\xa0\x01\n\x16getCredentialsForWrite\x12\x1e.mlflow.GetCredentialsForWrite\x1a\'.mlflow.GetCredentialsForWrite.Response\"=\xf2\x86\x19\x39\n5\n\x04POST\x12\'/mlflow/artifacts/credentials-for-write\x1a\x04\x08\x02\x10\x00\x10\x03\x42,\n\x1f\x63om.databricks.api.proto.mlflow\x90\x01\x01\xa0\x01\x01\xe2?\x02\x10\x01') _ARTIFACTCREDENTIALTYPE = DESCRIPTOR.enum_types_by_name['ArtifactCredentialType'] ArtifactCredentialType = enum_type_wrapper.EnumTypeWrapper(_ARTIFACTCREDENTIALTYPE) AZURE_SAS_URI = 1 AWS_PRESIGNED_URL = 2 GCP_SIGNED_URL = 3 _ARTIFACTCREDENTIALINFO = DESCRIPTOR.message_types_by_name['ArtifactCredentialInfo'] _ARTIFACTCREDENTIALINFO_HTTPHEADER = _ARTIFACTCREDENTIALINFO.nested_types_by_name['HttpHeader'] _GETCREDENTIALSFORREAD = DESCRIPTOR.message_types_by_name['GetCredentialsForRead'] _GETCREDENTIALSFORREAD_RESPONSE = _GETCREDENTIALSFORREAD.nested_types_by_name['Response'] _GETCREDENTIALSFORWRITE = DESCRIPTOR.message_types_by_name['GetCredentialsForWrite'] _GETCREDENTIALSFORWRITE_RESPONSE = _GETCREDENTIALSFORWRITE.nested_types_by_name['Response'] ArtifactCredentialInfo = _reflection.GeneratedProtocolMessageType('ArtifactCredentialInfo', (_message.Message,), { 'HttpHeader' : _reflection.GeneratedProtocolMessageType('HttpHeader', (_message.Message,), { 'DESCRIPTOR' : _ARTIFACTCREDENTIALINFO_HTTPHEADER, '__module__' : 'databricks_artifacts_pb2' # @@protoc_insertion_point(class_scope:mlflow.ArtifactCredentialInfo.HttpHeader) }) , 'DESCRIPTOR' : _ARTIFACTCREDENTIALINFO, '__module__' : 'databricks_artifacts_pb2' # @@protoc_insertion_point(class_scope:mlflow.ArtifactCredentialInfo) }) _sym_db.RegisterMessage(ArtifactCredentialInfo) _sym_db.RegisterMessage(ArtifactCredentialInfo.HttpHeader) GetCredentialsForRead = _reflection.GeneratedProtocolMessageType('GetCredentialsForRead', (_message.Message,), { 'Response' : _reflection.GeneratedProtocolMessageType('Response', (_message.Message,), { 'DESCRIPTOR' : _GETCREDENTIALSFORREAD_RESPONSE, '__module__' : 'databricks_artifacts_pb2' # @@protoc_insertion_point(class_scope:mlflow.GetCredentialsForRead.Response) }) , 'DESCRIPTOR' : _GETCREDENTIALSFORREAD, '__module__' : 'databricks_artifacts_pb2' # @@protoc_insertion_point(class_scope:mlflow.GetCredentialsForRead) }) _sym_db.RegisterMessage(GetCredentialsForRead) _sym_db.RegisterMessage(GetCredentialsForRead.Response) GetCredentialsForWrite = _reflection.GeneratedProtocolMessageType('GetCredentialsForWrite', (_message.Message,), { 'Response' : _reflection.GeneratedProtocolMessageType('Response', (_message.Message,), { 'DESCRIPTOR' : _GETCREDENTIALSFORWRITE_RESPONSE, '__module__' : 'databricks_artifacts_pb2' # @@protoc_insertion_point(class_scope:mlflow.GetCredentialsForWrite.Response) }) , 'DESCRIPTOR' : _GETCREDENTIALSFORWRITE, '__module__' : 'databricks_artifacts_pb2' # @@protoc_insertion_point(class_scope:mlflow.GetCredentialsForWrite) }) _sym_db.RegisterMessage(GetCredentialsForWrite) _sym_db.RegisterMessage(GetCredentialsForWrite.Response) _DATABRICKSMLFLOWARTIFACTSSERVICE = DESCRIPTOR.services_by_name['DatabricksMlflowArtifactsService'] if _descriptor._USE_C_DESCRIPTORS == False: DESCRIPTOR._options = None DESCRIPTOR._serialized_options = b'\n\037com.databricks.api.proto.mlflow\220\001\001\240\001\001\342?\002\020\001' _GETCREDENTIALSFORREAD.fields_by_name['run_id']._options = None _GETCREDENTIALSFORREAD.fields_by_name['run_id']._serialized_options = b'\370\206\031\001' _GETCREDENTIALSFORREAD._options = None _GETCREDENTIALSFORREAD._serialized_options = b'\342?(\n&com.databricks.rpc.RPC[$this.Response]\342?1\n/com.databricks.mlflow.api.MlflowTrackingMessage' _GETCREDENTIALSFORWRITE.fields_by_name['run_id']._options = None _GETCREDENTIALSFORWRITE.fields_by_name['run_id']._serialized_options = b'\370\206\031\001' _GETCREDENTIALSFORWRITE._options = None _GETCREDENTIALSFORWRITE._serialized_options = b'\342?(\n&com.databricks.rpc.RPC[$this.Response]\342?1\n/com.databricks.mlflow.api.MlflowTrackingMessage' _DATABRICKSMLFLOWARTIFACTSSERVICE.methods_by_name['getCredentialsForRead']._options = None _DATABRICKSMLFLOWARTIFACTSSERVICE.methods_by_name['getCredentialsForRead']._serialized_options = b'\362\206\0318\n4\n\004POST\022&/mlflow/artifacts/credentials-for-read\032\004\010\002\020\000\020\003' _DATABRICKSMLFLOWARTIFACTSSERVICE.methods_by_name['getCredentialsForWrite']._options = None _DATABRICKSMLFLOWARTIFACTSSERVICE.methods_by_name['getCredentialsForWrite']._serialized_options = b'\362\206\0319\n5\n\004POST\022\'/mlflow/artifacts/credentials-for-write\032\004\010\002\020\000\020\003' _ARTIFACTCREDENTIALTYPE._serialized_start=866 _ARTIFACTCREDENTIALTYPE._serialized_end=952 _ARTIFACTCREDENTIALINFO._serialized_start=80 _ARTIFACTCREDENTIALINFO._serialized_end=303 _ARTIFACTCREDENTIALINFO_HTTPHEADER._serialized_start=262 _ARTIFACTCREDENTIALINFO_HTTPHEADER._serialized_end=303 _GETCREDENTIALSFORREAD._serialized_start=306 _GETCREDENTIALSFORREAD._serialized_end=583 _GETCREDENTIALSFORREAD_RESPONSE._serialized_start=387 _GETCREDENTIALSFORREAD_RESPONSE._serialized_end=486 _GETCREDENTIALSFORWRITE._serialized_start=586 _GETCREDENTIALSFORWRITE._serialized_end=864 _GETCREDENTIALSFORWRITE_RESPONSE._serialized_start=387 _GETCREDENTIALSFORWRITE_RESPONSE._serialized_end=486 _DATABRICKSMLFLOWARTIFACTSSERVICE._serialized_start=955 _DATABRICKSMLFLOWARTIFACTSSERVICE._serialized_end=1311 DatabricksMlflowArtifactsService = service_reflection.GeneratedServiceType('DatabricksMlflowArtifactsService', (_service.Service,), dict( DESCRIPTOR = _DATABRICKSMLFLOWARTIFACTSSERVICE, __module__ = 'databricks_artifacts_pb2' )) DatabricksMlflowArtifactsService_Stub = service_reflection.GeneratedServiceStubType('DatabricksMlflowArtifactsService_Stub', (DatabricksMlflowArtifactsService,), dict( DESCRIPTOR = _DATABRICKSMLFLOWARTIFACTSSERVICE, __module__ = 'databricks_artifacts_pb2' )) # @@protoc_insertion_point(module_scope)

68.582677

2,193

0.828817

1,003

8,710

6.881356

0.208375

0.013909

0.020864

0.032454

0.452912

0.34135

0.307157

0.251521

0.237612

0.210953

0

0.079133

0.056946

8,710

126

2,194

69.126984

0.76114

0.075086

0

0.208333

1

0.0625

0.404726

0.370896

0

1

0

false

0

0.104167

0

0.104167

0

null

0

1

0

1

0

null

0

2

af93e031b575f53e9e8a2efce8d1de3819e957dd

969

py

Python

buildroot/support/testing/tests/package/test_python_txaio.py

TonyApuzzo/hassos

bb201fb84209a1bb5cf0611bd09e3610701d737d

[ "Apache-2.0" ]

1

2019-02-12T06:53:47.000Z

buildroot/support/testing/tests/package/test_python_txaio.py

berg/hassos

30b599acc6fda01e6a07181d01e8e03b365424f4

[ "Apache-2.0" ]

null

buildroot/support/testing/tests/package/test_python_txaio.py

berg/hassos

30b599acc6fda01e6a07181d01e8e03b365424f4

[ "Apache-2.0" ]

null

from tests.package.test_python import TestPythonBase class TestPythonPy2Txaio(TestPythonBase): config = TestPythonBase.config + \ """ BR2_PACKAGE_PYTHON=y BR2_PACKAGE_PYTHON_TXAIO=y BR2_PACKAGE_PYTHON_TWISTED=y """ def test_run(self): self.login() cmd = self.interpreter + " -c 'import txaio;" cmd += "txaio.use_twisted();" cmd += "f0 = txaio.create_future()'" _, exit_code = self.emulator.run(cmd) self.assertEqual(exit_code, 0) class TestPythonPy3Txaio(TestPythonBase): config = TestPythonBase.config + \ """ BR2_PACKAGE_PYTHON3=y BR2_PACKAGE_PYTHON_TXAIO=y """ def test_run(self): self.login() cmd = self.interpreter + " -c 'import txaio;" cmd += "txaio.use_asyncio();" cmd += "f0 = txaio.create_future()'" _, exit_code = self.emulator.run(cmd) self.assertEqual(exit_code, 0)

27.685714

53

0.605779

106

969

5.292453

0.311321

0.089127

0.114082

0.090909

0.746881

0.488414

0

0.017094

0.275542

969

34

54

28.5

0.782051

0

0.736842

0

0.168176

0.056921

0

0.105263

1

0.105263

false

0

0.157895

0

0.473684

0

null

0

1

0

1

0

null

0

2

af9ffa2afa6f222eae7f47b0d9c40faec1abf95b

763

py

Python

app/adaptation/strategies/__init__.py

ManCla/TRAPP

415dd302de0cf573584b57b6718cfed64380d353

[ "MIT" ]

null

app/adaptation/strategies/__init__.py

ManCla/TRAPP

415dd302de0cf573584b57b6718cfed64380d353

[ "MIT" ]

null

app/adaptation/strategies/__init__.py

ManCla/TRAPP

415dd302de0cf573584b57b6718cfed64380d353

[ "MIT" ]

null

import app.Config as Config from app.adaptation.strategies.AvoidOverloadedStreets import AvoidOverLoadedStreets from app.adaptation.strategies.LoadBalancing import LoadBalancing from app.adaptation.strategies.TunePlanningResolution import TunePlanningResolution from app.adaptation.strategies.NoAdaptation import NoAdaptation def get_adaptation_stategy(tick): if Config.adaptation_strategy == "load_balancing": return LoadBalancing(tick) elif Config.adaptation_strategy == "avoid_overloaded_streets": return AvoidOverLoadedStreets(tick) elif Config.adaptation_strategy == "tune_planning_resolution": return TunePlanningResolution(tick) elif Config.adaptation_strategy == "no_adaptation": return NoAdaptation(tick)

47.6875

83

0.812582

76

763

8

0.368421

0.046053

0.111842

0.177632

0.157895

0

0.124509

763

16

84

47.6875

0.91018

0

0.098168

0.062827

0

1

0.071429

false

0

0.357143

0

0.714286

0

null

0

1

0

null

0

1

0

2

afa008fa3636a4fda9344f5f425591dcd3ce2b35

2,250

py

Python

robobet/bet_placer/site_routers.py

Toffooo/robobet

e3522be66b963bec1439a0e06dde3ae2edbcf22c

[ "MIT" ]

null

robobet/bet_placer/site_routers.py

Toffooo/robobet

e3522be66b963bec1439a0e06dde3ae2edbcf22c

[ "MIT" ]

null

robobet/bet_placer/site_routers.py

Toffooo/robobet

e3522be66b963bec1439a0e06dde3ae2edbcf22c

[ "MIT" ]

null

import time from abc import ABC, abstractmethod from contextlib import contextmanager from selenium import webdriver from settings import Bet1X from .schemas import RouterResponse, create_router_response class AbstractRouter(ABC): def __init__(self, username: int, password: str) -> None: self.username = username self.password = password @abstractmethod def get_balance(self) -> RouterResponse: pass class Bet1XRouter(AbstractRouter): def __init__(self, username: int, password: str) -> None: super().__init__(username, password) @contextmanager def login(self): driver = webdriver.Firefox() try: driver.get(Bet1X.base_url) drop_login_btn = driver.find_element_by_id("curLoginForm") drop_login_btn.click() auth_id_email = driver.find_element_by_id("auth_id_email") auth_id_email.send_keys(self.username) auth_form_password = driver.find_element_by_id("auth-form-password") auth_form_password.send_keys(self.password) login_btn = driver.find_element_by_class_name("auth-button") login_btn.click() time.sleep(3) # TODO: replace this block to `.wait_until` yield driver finally: exit_btn = driver.find_element_by_class_name("exitLink") exit_btn.click() driver.close() def get_balance(self) -> RouterResponse: response = create_router_response( path=Bet1X.get_balance, linter={ "type": "ELEMENT", "tag": "p", "attrs": {"class": "top-b-acc__amount"}, }, ) return response def get_live_matches(self) -> RouterResponse: response = create_router_response( path=Bet1X.base_url, linter={ "type": "LIST", "tag": "div", "attrs": {"data-name": "dashboard-champ-content"}, "children": { "type": "LIST", "tag": "div", "attrs": {"class": "c-events__item"}, }, }, ) return response

28.125

80

0.572889

230

2,250

5.313043

0.386957

0.040917

0.069558

0.077741

0.337152

0.268412

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2,250

79

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null

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null

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0

1

0

2

afa38416a46ffbadd01ef6f9767c7d7dcd6cff8c

728

py

Python

test_autoarray/plot/mat_wrap/test_visuals.py

jonathanfrawley/PyAutoArray_copy

c21e8859bdb20737352147b9904797ac99985b73

[ "MIT" ]

5

2019-09-26T02:18:25.000Z

2021-12-11T16:29:20.000Z

test_autoarray/plot/mat_wrap/test_visuals.py

jonathanfrawley/PyAutoArray_copy

c21e8859bdb20737352147b9904797ac99985b73

[ "MIT" ]

3

2020-03-30T14:25:57.000Z

2021-12-21T17:10:55.000Z

test_autoarray/plot/mat_wrap/test_visuals.py

jonathanfrawley/PyAutoArray_copy

c21e8859bdb20737352147b9904797ac99985b73

[ "MIT" ]

4

2020-03-03T11:35:41.000Z

2022-01-21T17:37:35.000Z

import autoarray.plot as aplt class TestAbstractVisuals: def test__add_visuals_together__replaces_nones(self): visuals_1 = aplt.Visuals2D(mask=1) visuals_0 = aplt.Visuals2D(border=10) visuals = visuals_0 + visuals_1 assert visuals.mask == 1 assert visuals.border == 10 assert visuals_1.mask == 1 assert visuals_1.border == 10 assert visuals_0.border == 10 assert visuals_0.mask == None visuals_0 = aplt.Visuals2D(mask=1) visuals_1 = aplt.Visuals2D(mask=2) visuals = visuals_1 + visuals_0 assert visuals.mask == 1 assert visuals.border == None assert visuals_1.mask == 2

26.962963

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0.307692

728

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false

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0

null

1

0

null

0

1

0

2

afb4f71db275429df6cd541025699f17931c91f6

791

py

Python

hypernet/src/thermophysicalModels/specie/partitionFun/basic.py

christian-jacobsen/hypernet

9f62e1531eb152cc08af0b0c6b09d6fde8d42400

[ "Apache-2.0" ]

null

hypernet/src/thermophysicalModels/specie/partitionFun/basic.py

christian-jacobsen/hypernet

9f62e1531eb152cc08af0b0c6b09d6fde8d42400

[ "Apache-2.0" ]

null

hypernet/src/thermophysicalModels/specie/partitionFun/basic.py

christian-jacobsen/hypernet

9f62e1531eb152cc08af0b0c6b09d6fde8d42400

[ "Apache-2.0" ]

null

import abc class Basic(object): # Initialization ########################################################################### def __init__( self, specie, *args, **kwargs ): # Specie Properties self.specie = specie self.Q = 1. self.dQdT = 0. # Methods ########################################################################### # Update ------------------------------------------------------------------ def update(self, T): self.Q = self.Q_(T) self.dQdT = self.dQdT_(T) # Partition functions ----------------------------------------------------- @abc.abstractmethod def Q_(self, T): pass @abc.abstractmethod def dQdT_(self, T): pass

22.6

79

0.324905

55

791

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0

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791

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80

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null

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null

0

1

0

2

afd6664432eb837b50bee769a174cb19c16d821f

329

py

Python

server/bumf/api/views/auth.py

bumfiness/bumf

71c404c0a8f804b8f0e127df3de6d8916db4c660

[ "Apache-2.0" ]

6

2017-01-07T17:59:46.000Z

2017-02-10T13:19:46.000Z

server/bumf/api/views/auth.py

rixx/bumf

71c404c0a8f804b8f0e127df3de6d8916db4c660

[ "Apache-2.0" ]

null

server/bumf/api/views/auth.py

rixx/bumf

71c404c0a8f804b8f0e127df3de6d8916db4c660

[ "Apache-2.0" ]

null

from rest_framework import mixins, permissions, viewsets from bumf.api.serializers import UserSerializer from bumf.core.models import User class UserView(mixins.CreateModelMixin, viewsets.GenericViewSet): queryset = User.objects.none() permission_classes = [permissions.AllowAny] serializer_class = UserSerializer

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329

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0

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false

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1

0

null

0

null

0

1

0

1

0

2

bb68e821c0d22516b0ff182dda7205c9ac77a256

763

py

Python

huawei/temp.py

chengchengXu/try_python

45d4b450d4503ee37072a1471bceddbfb48601ae

[ "MIT" ]

null

huawei/temp.py

chengchengXu/try_python

45d4b450d4503ee37072a1471bceddbfb48601ae

[ "MIT" ]

null

huawei/temp.py

chengchengXu/try_python

45d4b450d4503ee37072a1471bceddbfb48601ae

[ "MIT" ]

null

import requests url = "https://iam.cn-south-1.myhuaweicloud.com/v3/auth/tokens" payload="{\r\n\t\"auth\": {\r\n\t\t\"identity\": {\r\n\t\t\t\"methods\": [\"password\"],\r\n\t\t\t\"password\": {\r\n\t\t\t\t\"user\": {\r\n\t\t\t\t\t\"name\": \"hw13258492\",\r\n\t\t\t\t\t\"password\": \"Dq20201020\",\r\n\t\t\t\t\t\"domain\": {\r\n\t\t\t\t\t\t\"name\": \"hw13258492\"\r\n\t\t\t\t\t}\r\n\t\t\t\t}\r\n\t\t\t}\r\n\t\t},\r\n\t\t\"scope\": {\r\n\t\t\t\"domain\": {\r\n\t\t\t\t\"name\": \"hw13258492\"\r\n\t\t\t}\r\n\t\t}\r\n\t}\r\n }" headers = { 'Content-Type': 'application/json;charset=utf8', 'Cookie': 'HWWAFSESID=77fa97f18e6595ee97; HWWAFSESTIME=1608188573994' } response = requests.request("POST", url, headers=headers, data=payload) print(response.text)

54.5

448

0.605505

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763

2.924051

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0.175325

0.147186

0.354978

0.339827

0.279221

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0.057667

763

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null

0

1

0

null

0

1

0

2

bb933016aedc5ef107f7ebf8c513626667bcb53b

2,259

py

Python

app/models.py

Rahmatullina/FinalYearProject

326f521b9f600dbbc7ace2223bd5aafc79b2267c

[ "Apache-2.0" ]

null

app/models.py

Rahmatullina/FinalYearProject

326f521b9f600dbbc7ace2223bd5aafc79b2267c

[ "Apache-2.0" ]

9

2020-09-26T01:09:35.000Z

2022-02-10T01:32:30.000Z

app/models.py

Rahmatullina/FinalYearProject

326f521b9f600dbbc7ace2223bd5aafc79b2267c

[ "Apache-2.0" ]

null

from django.contrib.auth.models import User from django.db import models # class Group(models.Model): # name = models.CharField(max_length=10, unique=True) # # def __str__(self): # return self.name class Student(models.Model): user = models.OneToOneField(User, on_delete=models.CASCADE) middle_name = models.CharField(max_length=100, default='default') group = models.CharField(max_length=100) degree = models.CharField( max_length=20, choices=[('UG','Студент Бакалавриата'),('G','Магистрант')], default='UG', ) entry_year = models.IntegerField() graduate_year = models.IntegerField() study_form = models.CharField( max_length=20, choices=[('FT','Очная форма обучения'),('PT','Заочная форма обучения')], default='FT', ) def __str__(self): return self.user.first_name + " " + self.user.last_name + " " + self.group class Educator(models.Model): user = models.OneToOneField(User, on_delete=models.CASCADE) middle_name = models.CharField(max_length=100, default='default') departament = models.CharField(max_length=100) position = models.CharField(max_length=100) def __str__(self): return self.user.first_name + " " + self.user.last_name + " " + self.middle_name + " " + self.position + " " + self.departament class Timetable(models.Model): id = models.AutoField(primary_key=True) group = models.CharField(max_length=100) start = models.CharField(default='2020-03-02T09:30:00', max_length=25, blank=True) end = models.CharField(default='2020-03-03T09:30:00', max_length=25, blank=True) subject = models.CharField(max_length=500) educator = models.ForeignKey('Educator', on_delete=models.CASCADE) def __str__(self): return str(self.start) + " " + self.group + " " + self.subject class Attendance(models.Model): timetable = models.ForeignKey('Timetable', on_delete=models.CASCADE) student = models.ForeignKey('Student', on_delete=models.CASCADE) attended = models.BooleanField() emotion = models.CharField(max_length=200, blank=True) def __str__(self): return str(self.timetable.start) + " " + str(self.student) + " " + self.timetable.subject

36.435484

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2,259

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36.435484

0.770766

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false

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0

null

0

1

0

null

0

1

0

2

bba41de40149cd72d66cc91246bf3368afe15ae5

45,688

py

Python

pysnmp/SNA-SDLC-MIB.py

agustinhenze/mibs.snmplabs.com

1fc5c07860542b89212f4c8ab807057d9a9206c7

[ "Apache-2.0" ]

11

2021-02-02T16:27:16.000Z

2021-08-31T06:22:49.000Z

pysnmp/SNA-SDLC-MIB.py

agustinhenze/mibs.snmplabs.com

1fc5c07860542b89212f4c8ab807057d9a9206c7

[ "Apache-2.0" ]

75

2021-02-24T17:30:31.000Z

2021-12-08T00:01:18.000Z

pysnmp/SNA-SDLC-MIB.py

agustinhenze/mibs.snmplabs.com

1fc5c07860542b89212f4c8ab807057d9a9206c7

[ "Apache-2.0" ]

10

2019-04-30T05:51:36.000Z

2022-02-16T03:33:41.000Z

# # PySNMP MIB module SNA-SDLC-MIB (http://snmplabs.com/pysmi) # ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/SNA-SDLC-MIB # Produced by pysmi-0.3.4 at Mon Apr 29 16:52:15 2019 # On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4 # Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15) # OctetString, Integer, ObjectIdentifier = mibBuilder.importSymbols("ASN1", "OctetString", "Integer", "ObjectIdentifier") NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues") ConstraintsIntersection, ValueRangeConstraint, ConstraintsUnion, ValueSizeConstraint, SingleValueConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ConstraintsIntersection", "ValueRangeConstraint", "ConstraintsUnion", "ValueSizeConstraint", "SingleValueConstraint") ifOperStatus, ifAdminStatus, ifIndex = mibBuilder.importSymbols("IF-MIB", "ifOperStatus", "ifAdminStatus", "ifIndex") ModuleCompliance, ObjectGroup, NotificationGroup = mibBuilder.importSymbols("SNMPv2-CONF", "ModuleCompliance", "ObjectGroup", "NotificationGroup") TimeTicks, IpAddress, NotificationType, MibIdentifier, Counter32, ModuleIdentity, ObjectIdentity, mib_2, Integer32, Bits, MibScalar, MibTable, MibTableRow, MibTableColumn, Counter64, iso, Gauge32, Unsigned32 = mibBuilder.importSymbols("SNMPv2-SMI", "TimeTicks", "IpAddress", "NotificationType", "MibIdentifier", "Counter32", "ModuleIdentity", "ObjectIdentity", "mib-2", "Integer32", "Bits", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "Counter64", "iso", "Gauge32", "Unsigned32") RowStatus, DisplayString, TimeInterval, TextualConvention = mibBuilder.importSymbols("SNMPv2-TC", "RowStatus", "DisplayString", "TimeInterval", "TextualConvention") snaDLC = ModuleIdentity((1, 3, 6, 1, 2, 1, 41)) if mibBuilder.loadTexts: snaDLC.setLastUpdated('9411150000Z') if mibBuilder.loadTexts: snaDLC.setOrganization('IETF SNA DLC MIB Working Group') sdlc = MibIdentifier((1, 3, 6, 1, 2, 1, 41, 1)) sdlcPortGroup = MibIdentifier((1, 3, 6, 1, 2, 1, 41, 1, 1)) sdlcLSGroup = MibIdentifier((1, 3, 6, 1, 2, 1, 41, 1, 2)) sdlcPortAdminTable = MibTable((1, 3, 6, 1, 2, 1, 41, 1, 1, 1), ) if mibBuilder.loadTexts: sdlcPortAdminTable.setStatus('current') sdlcPortAdminEntry = MibTableRow((1, 3, 6, 1, 2, 1, 41, 1, 1, 1, 1), ).setIndexNames((0, "IF-MIB", "ifIndex")) if mibBuilder.loadTexts: sdlcPortAdminEntry.setStatus('current') sdlcPortAdminName = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 1, 1, 1, 1), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(1, 10))).setMaxAccess("readwrite") if mibBuilder.loadTexts: sdlcPortAdminName.setStatus('current') sdlcPortAdminRole = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 1, 1, 1, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("primary", 1), ("secondary", 2), ("negotiable", 3)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: sdlcPortAdminRole.setStatus('current') sdlcPortAdminType = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 1, 1, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("leased", 1), ("switched", 2))).clone('leased')).setMaxAccess("readwrite") if mibBuilder.loadTexts: sdlcPortAdminType.setStatus('current') sdlcPortAdminTopology = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 1, 1, 1, 4), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("pointToPoint", 1), ("multipoint", 2))).clone('pointToPoint')).setMaxAccess("readwrite") if mibBuilder.loadTexts: sdlcPortAdminTopology.setStatus('current') sdlcPortAdminISTATUS = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 1, 1, 1, 5), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("inactive", 1), ("active", 2))).clone('active')).setMaxAccess("readwrite") if mibBuilder.loadTexts: sdlcPortAdminISTATUS.setStatus('current') sdlcPortAdminACTIVTO = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 1, 1, 1, 6), TimeInterval()).setMaxAccess("readwrite") if mibBuilder.loadTexts: sdlcPortAdminACTIVTO.setStatus('current') sdlcPortAdminPAUSE = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 1, 1, 1, 7), TimeInterval().clone(200)).setMaxAccess("readwrite") if mibBuilder.loadTexts: sdlcPortAdminPAUSE.setStatus('current') sdlcPortAdminSERVLIM = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 1, 1, 1, 8), Integer32().clone(20)).setMaxAccess("readwrite") if mibBuilder.loadTexts: sdlcPortAdminSERVLIM.setStatus('current') sdlcPortAdminSlowPollTimer = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 1, 1, 1, 9), TimeInterval().clone(2000)).setMaxAccess("readwrite") if mibBuilder.loadTexts: sdlcPortAdminSlowPollTimer.setStatus('current') sdlcPortOperTable = MibTable((1, 3, 6, 1, 2, 1, 41, 1, 1, 2), ) if mibBuilder.loadTexts: sdlcPortOperTable.setStatus('current') sdlcPortOperEntry = MibTableRow((1, 3, 6, 1, 2, 1, 41, 1, 1, 2, 1), ).setIndexNames((0, "IF-MIB", "ifIndex")) if mibBuilder.loadTexts: sdlcPortOperEntry.setStatus('current') sdlcPortOperName = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 1, 2, 1, 1), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(1, 8))).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcPortOperName.setStatus('current') sdlcPortOperRole = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 1, 2, 1, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("primary", 1), ("secondary", 2), ("undefined", 3)))).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcPortOperRole.setStatus('current') sdlcPortOperType = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 1, 2, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("leased", 1), ("switched", 2)))).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcPortOperType.setStatus('current') sdlcPortOperTopology = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 1, 2, 1, 4), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("pointToPoint", 1), ("multipoint", 2)))).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcPortOperTopology.setStatus('current') sdlcPortOperISTATUS = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 1, 2, 1, 5), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("inactive", 1), ("active", 2)))).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcPortOperISTATUS.setStatus('current') sdlcPortOperACTIVTO = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 1, 2, 1, 6), TimeInterval()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcPortOperACTIVTO.setStatus('current') sdlcPortOperPAUSE = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 1, 2, 1, 7), TimeInterval()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcPortOperPAUSE.setStatus('current') sdlcPortOperSlowPollMethod = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 1, 2, 1, 8), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("servlim", 1), ("pollpause", 2), ("other", 3)))).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcPortOperSlowPollMethod.setStatus('current') sdlcPortOperSERVLIM = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 1, 2, 1, 9), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcPortOperSERVLIM.setStatus('current') sdlcPortOperSlowPollTimer = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 1, 2, 1, 10), TimeInterval()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcPortOperSlowPollTimer.setStatus('current') sdlcPortOperLastModifyTime = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 1, 2, 1, 11), TimeTicks()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcPortOperLastModifyTime.setStatus('current') sdlcPortOperLastFailTime = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 1, 2, 1, 12), TimeTicks()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcPortOperLastFailTime.setStatus('current') sdlcPortOperLastFailCause = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 1, 2, 1, 13), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("undefined", 1), ("physical", 2))).clone('undefined')).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcPortOperLastFailCause.setStatus('current') sdlcPortStatsTable = MibTable((1, 3, 6, 1, 2, 1, 41, 1, 1, 3), ) if mibBuilder.loadTexts: sdlcPortStatsTable.setStatus('current') sdlcPortStatsEntry = MibTableRow((1, 3, 6, 1, 2, 1, 41, 1, 1, 3, 1), ).setIndexNames((0, "IF-MIB", "ifIndex")) if mibBuilder.loadTexts: sdlcPortStatsEntry.setStatus('current') sdlcPortStatsPhysicalFailures = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 1, 3, 1, 1), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcPortStatsPhysicalFailures.setStatus('current') sdlcPortStatsInvalidAddresses = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 1, 3, 1, 2), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcPortStatsInvalidAddresses.setStatus('current') sdlcPortStatsDwarfFrames = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 1, 3, 1, 3), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcPortStatsDwarfFrames.setStatus('current') sdlcPortStatsPollsIn = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 1, 3, 1, 4), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcPortStatsPollsIn.setStatus('current') sdlcPortStatsPollsOut = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 1, 3, 1, 5), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcPortStatsPollsOut.setStatus('current') sdlcPortStatsPollRspsIn = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 1, 3, 1, 6), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcPortStatsPollRspsIn.setStatus('current') sdlcPortStatsPollRspsOut = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 1, 3, 1, 7), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcPortStatsPollRspsOut.setStatus('current') sdlcPortStatsLocalBusies = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 1, 3, 1, 8), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcPortStatsLocalBusies.setStatus('current') sdlcPortStatsRemoteBusies = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 1, 3, 1, 9), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcPortStatsRemoteBusies.setStatus('current') sdlcPortStatsIFramesIn = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 1, 3, 1, 10), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcPortStatsIFramesIn.setStatus('current') sdlcPortStatsIFramesOut = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 1, 3, 1, 11), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcPortStatsIFramesOut.setStatus('current') sdlcPortStatsOctetsIn = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 1, 3, 1, 12), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcPortStatsOctetsIn.setStatus('current') sdlcPortStatsOctetsOut = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 1, 3, 1, 13), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcPortStatsOctetsOut.setStatus('current') sdlcPortStatsProtocolErrs = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 1, 3, 1, 14), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcPortStatsProtocolErrs.setStatus('current') sdlcPortStatsActivityTOs = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 1, 3, 1, 15), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcPortStatsActivityTOs.setStatus('current') sdlcPortStatsRNRLIMITs = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 1, 3, 1, 16), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcPortStatsRNRLIMITs.setStatus('current') sdlcPortStatsRetriesExps = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 1, 3, 1, 17), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcPortStatsRetriesExps.setStatus('current') sdlcPortStatsRetransmitsIn = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 1, 3, 1, 18), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcPortStatsRetransmitsIn.setStatus('current') sdlcPortStatsRetransmitsOut = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 1, 3, 1, 19), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcPortStatsRetransmitsOut.setStatus('current') sdlcLSAdminTable = MibTable((1, 3, 6, 1, 2, 1, 41, 1, 2, 1), ) if mibBuilder.loadTexts: sdlcLSAdminTable.setStatus('current') sdlcLSAdminEntry = MibTableRow((1, 3, 6, 1, 2, 1, 41, 1, 2, 1, 1), ).setIndexNames((0, "IF-MIB", "ifIndex"), (0, "SNA-SDLC-MIB", "sdlcLSAddress")) if mibBuilder.loadTexts: sdlcLSAdminEntry.setStatus('current') sdlcLSAddress = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 1, 1, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 255))).setMaxAccess("readcreate") if mibBuilder.loadTexts: sdlcLSAddress.setStatus('current') sdlcLSAdminName = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 1, 1, 2), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(1, 10))).setMaxAccess("readcreate") if mibBuilder.loadTexts: sdlcLSAdminName.setStatus('current') sdlcLSAdminState = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 1, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("inactive", 1), ("active", 2))).clone('active')).setMaxAccess("readcreate") if mibBuilder.loadTexts: sdlcLSAdminState.setStatus('current') sdlcLSAdminISTATUS = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 1, 1, 4), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("inactive", 1), ("active", 2))).clone('active')).setMaxAccess("readcreate") if mibBuilder.loadTexts: sdlcLSAdminISTATUS.setStatus('current') sdlcLSAdminMAXDATASend = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 1, 1, 5), Integer32()).setMaxAccess("readcreate") if mibBuilder.loadTexts: sdlcLSAdminMAXDATASend.setStatus('current') sdlcLSAdminMAXDATARcv = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 1, 1, 6), Integer32()).setMaxAccess("readcreate") if mibBuilder.loadTexts: sdlcLSAdminMAXDATARcv.setStatus('current') sdlcLSAdminREPLYTO = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 1, 1, 7), TimeInterval().clone(100)).setMaxAccess("readcreate") if mibBuilder.loadTexts: sdlcLSAdminREPLYTO.setStatus('current') sdlcLSAdminMAXIN = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 1, 1, 8), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 127)).clone(7)).setMaxAccess("readcreate") if mibBuilder.loadTexts: sdlcLSAdminMAXIN.setStatus('current') sdlcLSAdminMAXOUT = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 1, 1, 9), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 127)).clone(1)).setMaxAccess("readcreate") if mibBuilder.loadTexts: sdlcLSAdminMAXOUT.setStatus('current') sdlcLSAdminMODULO = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 1, 1, 10), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(8, 128))).clone(namedValues=NamedValues(("eight", 8), ("onetwentyeight", 128))).clone('eight')).setMaxAccess("readcreate") if mibBuilder.loadTexts: sdlcLSAdminMODULO.setStatus('current') sdlcLSAdminRETRIESm = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 1, 1, 11), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 128)).clone(15)).setMaxAccess("readcreate") if mibBuilder.loadTexts: sdlcLSAdminRETRIESm.setStatus('current') sdlcLSAdminRETRIESt = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 1, 1, 12), TimeInterval()).setMaxAccess("readcreate") if mibBuilder.loadTexts: sdlcLSAdminRETRIESt.setStatus('current') sdlcLSAdminRETRIESn = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 1, 1, 13), Integer32()).setMaxAccess("readcreate") if mibBuilder.loadTexts: sdlcLSAdminRETRIESn.setStatus('current') sdlcLSAdminRNRLIMIT = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 1, 1, 14), TimeInterval().clone(18000)).setMaxAccess("readcreate") if mibBuilder.loadTexts: sdlcLSAdminRNRLIMIT.setStatus('current') sdlcLSAdminDATMODE = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 1, 1, 15), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("half", 1), ("full", 2))).clone('half')).setMaxAccess("readcreate") if mibBuilder.loadTexts: sdlcLSAdminDATMODE.setStatus('current') sdlcLSAdminGPoll = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 1, 1, 16), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 254))).setMaxAccess("readcreate") if mibBuilder.loadTexts: sdlcLSAdminGPoll.setStatus('current') sdlcLSAdminSimRim = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 1, 1, 17), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("no", 1), ("yes", 2))).clone('no')).setMaxAccess("readcreate") if mibBuilder.loadTexts: sdlcLSAdminSimRim.setStatus('current') sdlcLSAdminXmitRcvCap = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 1, 1, 18), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("twa", 1), ("tws", 2))).clone('twa')).setMaxAccess("readcreate") if mibBuilder.loadTexts: sdlcLSAdminXmitRcvCap.setStatus('current') sdlcLSAdminRowStatus = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 1, 1, 19), RowStatus()).setMaxAccess("readcreate") if mibBuilder.loadTexts: sdlcLSAdminRowStatus.setStatus('current') sdlcLSOperTable = MibTable((1, 3, 6, 1, 2, 1, 41, 1, 2, 2), ) if mibBuilder.loadTexts: sdlcLSOperTable.setStatus('current') sdlcLSOperEntry = MibTableRow((1, 3, 6, 1, 2, 1, 41, 1, 2, 2, 1), ).setIndexNames((0, "IF-MIB", "ifIndex"), (0, "SNA-SDLC-MIB", "sdlcLSAddress")) if mibBuilder.loadTexts: sdlcLSOperEntry.setStatus('current') sdlcLSOperName = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 2, 1, 1), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(1, 10))).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSOperName.setStatus('current') sdlcLSOperRole = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 2, 1, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("primary", 1), ("secondary", 2), ("undefined", 3)))).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSOperRole.setStatus('current') sdlcLSOperState = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 2, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("discontacted", 1), ("contactPending", 2), ("contacted", 3), ("discontactPending", 4)))).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSOperState.setStatus('current') sdlcLSOperMAXDATASend = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 2, 1, 4), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSOperMAXDATASend.setStatus('current') sdlcLSOperREPLYTO = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 2, 1, 5), TimeInterval()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSOperREPLYTO.setStatus('current') sdlcLSOperMAXIN = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 2, 1, 6), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 127))).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSOperMAXIN.setStatus('current') sdlcLSOperMAXOUT = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 2, 1, 7), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 127))).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSOperMAXOUT.setStatus('current') sdlcLSOperMODULO = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 2, 1, 8), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(8, 128))).clone(namedValues=NamedValues(("eight", 8), ("onetwentyeight", 128))).clone('eight')).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSOperMODULO.setStatus('current') sdlcLSOperRETRIESm = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 2, 1, 9), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 128))).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSOperRETRIESm.setStatus('current') sdlcLSOperRETRIESt = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 2, 1, 10), TimeInterval()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSOperRETRIESt.setStatus('current') sdlcLSOperRETRIESn = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 2, 1, 11), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 127))).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSOperRETRIESn.setStatus('current') sdlcLSOperRNRLIMIT = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 2, 1, 12), TimeInterval()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSOperRNRLIMIT.setStatus('current') sdlcLSOperDATMODE = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 2, 1, 13), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("half", 1), ("full", 2)))).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSOperDATMODE.setStatus('current') sdlcLSOperLastModifyTime = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 2, 1, 14), TimeTicks()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSOperLastModifyTime.setStatus('current') sdlcLSOperLastFailTime = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 2, 1, 15), TimeTicks()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSOperLastFailTime.setStatus('current') sdlcLSOperLastFailCause = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 2, 1, 16), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6, 7, 8))).clone(namedValues=NamedValues(("undefined", 1), ("rxFRMR", 2), ("txFRMR", 3), ("noResponse", 4), ("protocolErr", 5), ("noActivity", 6), ("rnrLimit", 7), ("retriesExpired", 8))).clone('undefined')).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSOperLastFailCause.setStatus('current') sdlcLSOperLastFailCtrlIn = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 2, 1, 17), OctetString().subtype(subtypeSpec=ValueSizeConstraint(1, 2))).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSOperLastFailCtrlIn.setStatus('current') sdlcLSOperLastFailCtrlOut = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 2, 1, 18), OctetString().subtype(subtypeSpec=ValueSizeConstraint(1, 2))).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSOperLastFailCtrlOut.setStatus('current') sdlcLSOperLastFailFRMRInfo = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 2, 1, 19), OctetString().subtype(subtypeSpec=ValueSizeConstraint(3, 3)).setFixedLength(3)).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSOperLastFailFRMRInfo.setStatus('current') sdlcLSOperLastFailREPLYTOs = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 2, 1, 20), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSOperLastFailREPLYTOs.setStatus('current') sdlcLSOperEcho = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 2, 1, 21), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("no", 1), ("yes", 2))).clone('no')).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSOperEcho.setStatus('current') sdlcLSOperGPoll = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 2, 1, 22), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 254))).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSOperGPoll.setStatus('current') sdlcLSOperSimRim = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 2, 1, 23), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("no", 1), ("yes", 2))).clone('no')).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSOperSimRim.setStatus('current') sdlcLSOperXmitRcvCap = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 2, 1, 24), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("twa", 1), ("tws", 2))).clone('twa')).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSOperXmitRcvCap.setStatus('current') sdlcLSStatsTable = MibTable((1, 3, 6, 1, 2, 1, 41, 1, 2, 3), ) if mibBuilder.loadTexts: sdlcLSStatsTable.setStatus('current') sdlcLSStatsEntry = MibTableRow((1, 3, 6, 1, 2, 1, 41, 1, 2, 3, 1), ).setIndexNames((0, "IF-MIB", "ifIndex"), (0, "SNA-SDLC-MIB", "sdlcLSAddress")) if mibBuilder.loadTexts: sdlcLSStatsEntry.setStatus('current') sdlcLSStatsBLUsIn = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 3, 1, 1), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSStatsBLUsIn.setStatus('current') sdlcLSStatsBLUsOut = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 3, 1, 2), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSStatsBLUsOut.setStatus('current') sdlcLSStatsOctetsIn = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 3, 1, 3), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSStatsOctetsIn.setStatus('current') sdlcLSStatsOctetsOut = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 3, 1, 4), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSStatsOctetsOut.setStatus('current') sdlcLSStatsPollsIn = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 3, 1, 5), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSStatsPollsIn.setStatus('current') sdlcLSStatsPollsOut = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 3, 1, 6), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSStatsPollsOut.setStatus('current') sdlcLSStatsPollRspsOut = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 3, 1, 7), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSStatsPollRspsOut.setStatus('current') sdlcLSStatsPollRspsIn = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 3, 1, 8), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSStatsPollRspsIn.setStatus('current') sdlcLSStatsLocalBusies = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 3, 1, 9), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSStatsLocalBusies.setStatus('current') sdlcLSStatsRemoteBusies = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 3, 1, 10), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSStatsRemoteBusies.setStatus('current') sdlcLSStatsIFramesIn = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 3, 1, 11), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSStatsIFramesIn.setStatus('current') sdlcLSStatsIFramesOut = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 3, 1, 12), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSStatsIFramesOut.setStatus('current') sdlcLSStatsUIFramesIn = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 3, 1, 13), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSStatsUIFramesIn.setStatus('current') sdlcLSStatsUIFramesOut = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 3, 1, 14), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSStatsUIFramesOut.setStatus('current') sdlcLSStatsXIDsIn = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 3, 1, 15), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSStatsXIDsIn.setStatus('current') sdlcLSStatsXIDsOut = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 3, 1, 16), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSStatsXIDsOut.setStatus('current') sdlcLSStatsTESTsIn = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 3, 1, 17), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSStatsTESTsIn.setStatus('current') sdlcLSStatsTESTsOut = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 3, 1, 18), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSStatsTESTsOut.setStatus('current') sdlcLSStatsREJsIn = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 3, 1, 19), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSStatsREJsIn.setStatus('current') sdlcLSStatsREJsOut = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 3, 1, 20), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSStatsREJsOut.setStatus('current') sdlcLSStatsFRMRsIn = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 3, 1, 21), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSStatsFRMRsIn.setStatus('current') sdlcLSStatsFRMRsOut = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 3, 1, 22), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSStatsFRMRsOut.setStatus('current') sdlcLSStatsSIMsIn = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 3, 1, 23), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSStatsSIMsIn.setStatus('current') sdlcLSStatsSIMsOut = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 3, 1, 24), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSStatsSIMsOut.setStatus('current') sdlcLSStatsRIMsIn = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 3, 1, 25), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSStatsRIMsIn.setStatus('current') sdlcLSStatsRIMsOut = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 3, 1, 26), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSStatsRIMsOut.setStatus('current') sdlcLSStatsDISCIn = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 3, 1, 27), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSStatsDISCIn.setStatus('current') sdlcLSStatsDISCOut = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 3, 1, 28), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSStatsDISCOut.setStatus('current') sdlcLSStatsUAIn = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 3, 1, 29), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSStatsUAIn.setStatus('current') sdlcLSStatsUAOut = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 3, 1, 30), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSStatsUAOut.setStatus('current') sdlcLSStatsDMIn = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 3, 1, 31), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSStatsDMIn.setStatus('current') sdlcLSStatsDMOut = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 3, 1, 32), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSStatsDMOut.setStatus('current') sdlcLSStatsSNRMIn = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 3, 1, 33), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSStatsSNRMIn.setStatus('current') sdlcLSStatsSNRMOut = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 3, 1, 34), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSStatsSNRMOut.setStatus('current') sdlcLSStatsProtocolErrs = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 3, 1, 35), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSStatsProtocolErrs.setStatus('current') sdlcLSStatsActivityTOs = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 3, 1, 36), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSStatsActivityTOs.setStatus('current') sdlcLSStatsRNRLIMITs = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 3, 1, 37), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSStatsRNRLIMITs.setStatus('current') sdlcLSStatsRetriesExps = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 3, 1, 38), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSStatsRetriesExps.setStatus('current') sdlcLSStatsRetransmitsIn = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 3, 1, 39), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSStatsRetransmitsIn.setStatus('current') sdlcLSStatsRetransmitsOut = MibTableColumn((1, 3, 6, 1, 2, 1, 41, 1, 2, 3, 1, 40), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: sdlcLSStatsRetransmitsOut.setStatus('current') sdlcTraps = MibIdentifier((1, 3, 6, 1, 2, 1, 41, 1, 3)) sdlcPortStatusChange = NotificationType((1, 3, 6, 1, 2, 1, 41, 1, 3, 1)).setObjects(("IF-MIB", "ifIndex"), ("IF-MIB", "ifAdminStatus"), ("IF-MIB", "ifOperStatus"), ("SNA-SDLC-MIB", "sdlcPortOperLastFailTime"), ("SNA-SDLC-MIB", "sdlcPortOperLastFailCause")) if mibBuilder.loadTexts: sdlcPortStatusChange.setStatus('current') sdlcLSStatusChange = NotificationType((1, 3, 6, 1, 2, 1, 41, 1, 3, 2)).setObjects(("IF-MIB", "ifIndex"), ("SNA-SDLC-MIB", "sdlcLSAddress"), ("SNA-SDLC-MIB", "sdlcLSOperState"), ("SNA-SDLC-MIB", "sdlcLSAdminState"), ("SNA-SDLC-MIB", "sdlcLSOperLastFailTime"), ("SNA-SDLC-MIB", "sdlcLSOperLastFailCause"), ("SNA-SDLC-MIB", "sdlcLSOperLastFailFRMRInfo"), ("SNA-SDLC-MIB", "sdlcLSOperLastFailCtrlIn"), ("SNA-SDLC-MIB", "sdlcLSOperLastFailCtrlOut"), ("SNA-SDLC-MIB", "sdlcLSOperLastFailREPLYTOs")) if mibBuilder.loadTexts: sdlcLSStatusChange.setStatus('current') sdlcConformance = MibIdentifier((1, 3, 6, 1, 2, 1, 41, 1, 4)) sdlcCompliances = MibIdentifier((1, 3, 6, 1, 2, 1, 41, 1, 4, 1)) sdlcGroups = MibIdentifier((1, 3, 6, 1, 2, 1, 41, 1, 4, 2)) sdlcCoreCompliance = ModuleCompliance((1, 3, 6, 1, 2, 1, 41, 1, 4, 1, 1)).setObjects(("SNA-SDLC-MIB", "sdlcCorePortAdminGroup"), ("SNA-SDLC-MIB", "sdlcCorePortOperGroup"), ("SNA-SDLC-MIB", "sdlcCorePortStatsGroup"), ("SNA-SDLC-MIB", "sdlcCoreLSAdminGroup"), ("SNA-SDLC-MIB", "sdlcCoreLSOperGroup"), ("SNA-SDLC-MIB", "sdlcCoreLSStatsGroup")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): sdlcCoreCompliance = sdlcCoreCompliance.setStatus('current') sdlcPrimaryCompliance = ModuleCompliance((1, 3, 6, 1, 2, 1, 41, 1, 4, 1, 2)).setObjects(("SNA-SDLC-MIB", "sdlcPrimaryGroup")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): sdlcPrimaryCompliance = sdlcPrimaryCompliance.setStatus('current') sdlcPrimaryMultipointCompliance = ModuleCompliance((1, 3, 6, 1, 2, 1, 41, 1, 4, 1, 3)).setObjects(("SNA-SDLC-MIB", "sdlcPrimaryMultipointGroup")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): sdlcPrimaryMultipointCompliance = sdlcPrimaryMultipointCompliance.setStatus('current') sdlcCoreGroups = MibIdentifier((1, 3, 6, 1, 2, 1, 41, 1, 4, 2, 1)) sdlcCorePortAdminGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 41, 1, 4, 2, 1, 1)).setObjects(("SNA-SDLC-MIB", "sdlcPortAdminName"), ("SNA-SDLC-MIB", "sdlcPortAdminRole"), ("SNA-SDLC-MIB", "sdlcPortAdminType"), ("SNA-SDLC-MIB", "sdlcPortAdminTopology"), ("SNA-SDLC-MIB", "sdlcPortAdminISTATUS")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): sdlcCorePortAdminGroup = sdlcCorePortAdminGroup.setStatus('current') sdlcCorePortOperGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 41, 1, 4, 2, 1, 2)).setObjects(("SNA-SDLC-MIB", "sdlcPortOperName"), ("SNA-SDLC-MIB", "sdlcPortOperRole"), ("SNA-SDLC-MIB", "sdlcPortOperType"), ("SNA-SDLC-MIB", "sdlcPortOperTopology"), ("SNA-SDLC-MIB", "sdlcPortOperISTATUS"), ("SNA-SDLC-MIB", "sdlcPortOperACTIVTO"), ("SNA-SDLC-MIB", "sdlcPortOperLastFailTime"), ("SNA-SDLC-MIB", "sdlcPortOperLastFailCause")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): sdlcCorePortOperGroup = sdlcCorePortOperGroup.setStatus('current') sdlcCorePortStatsGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 41, 1, 4, 2, 1, 3)).setObjects(("SNA-SDLC-MIB", "sdlcPortStatsPhysicalFailures"), ("SNA-SDLC-MIB", "sdlcPortStatsInvalidAddresses"), ("SNA-SDLC-MIB", "sdlcPortStatsDwarfFrames")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): sdlcCorePortStatsGroup = sdlcCorePortStatsGroup.setStatus('current') sdlcCoreLSAdminGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 41, 1, 4, 2, 1, 4)).setObjects(("SNA-SDLC-MIB", "sdlcLSAddress"), ("SNA-SDLC-MIB", "sdlcLSAdminName"), ("SNA-SDLC-MIB", "sdlcLSAdminState"), ("SNA-SDLC-MIB", "sdlcLSAdminISTATUS"), ("SNA-SDLC-MIB", "sdlcLSAdminMAXDATASend"), ("SNA-SDLC-MIB", "sdlcLSAdminMAXDATARcv"), ("SNA-SDLC-MIB", "sdlcLSAdminMAXIN"), ("SNA-SDLC-MIB", "sdlcLSAdminMAXOUT"), ("SNA-SDLC-MIB", "sdlcLSAdminMODULO"), ("SNA-SDLC-MIB", "sdlcLSAdminRETRIESm"), ("SNA-SDLC-MIB", "sdlcLSAdminRETRIESt"), ("SNA-SDLC-MIB", "sdlcLSAdminRETRIESn"), ("SNA-SDLC-MIB", "sdlcLSAdminRNRLIMIT"), ("SNA-SDLC-MIB", "sdlcLSAdminDATMODE"), ("SNA-SDLC-MIB", "sdlcLSAdminGPoll"), ("SNA-SDLC-MIB", "sdlcLSAdminSimRim"), ("SNA-SDLC-MIB", "sdlcLSAdminRowStatus")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): sdlcCoreLSAdminGroup = sdlcCoreLSAdminGroup.setStatus('current') sdlcCoreLSOperGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 41, 1, 4, 2, 1, 5)).setObjects(("SNA-SDLC-MIB", "sdlcLSOperRole"), ("SNA-SDLC-MIB", "sdlcLSOperState"), ("SNA-SDLC-MIB", "sdlcLSOperMAXDATASend"), ("SNA-SDLC-MIB", "sdlcLSOperMAXIN"), ("SNA-SDLC-MIB", "sdlcLSOperMAXOUT"), ("SNA-SDLC-MIB", "sdlcLSOperMODULO"), ("SNA-SDLC-MIB", "sdlcLSOperRETRIESm"), ("SNA-SDLC-MIB", "sdlcLSOperRETRIESt"), ("SNA-SDLC-MIB", "sdlcLSOperRETRIESn"), ("SNA-SDLC-MIB", "sdlcLSOperRNRLIMIT"), ("SNA-SDLC-MIB", "sdlcLSOperDATMODE"), ("SNA-SDLC-MIB", "sdlcLSOperLastFailTime"), ("SNA-SDLC-MIB", "sdlcLSOperLastFailCause"), ("SNA-SDLC-MIB", "sdlcLSOperLastFailCtrlIn"), ("SNA-SDLC-MIB", "sdlcLSOperLastFailCtrlOut"), ("SNA-SDLC-MIB", "sdlcLSOperLastFailFRMRInfo"), ("SNA-SDLC-MIB", "sdlcLSOperLastFailREPLYTOs"), ("SNA-SDLC-MIB", "sdlcLSOperEcho"), ("SNA-SDLC-MIB", "sdlcLSOperGPoll")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): sdlcCoreLSOperGroup = sdlcCoreLSOperGroup.setStatus('current') sdlcCoreLSStatsGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 41, 1, 4, 2, 1, 6)).setObjects(("SNA-SDLC-MIB", "sdlcLSStatsBLUsIn"), ("SNA-SDLC-MIB", "sdlcLSStatsBLUsOut"), ("SNA-SDLC-MIB", "sdlcLSStatsOctetsIn"), ("SNA-SDLC-MIB", "sdlcLSStatsOctetsOut"), ("SNA-SDLC-MIB", "sdlcLSStatsPollsIn"), ("SNA-SDLC-MIB", "sdlcLSStatsPollsOut"), ("SNA-SDLC-MIB", "sdlcLSStatsPollRspsIn"), ("SNA-SDLC-MIB", "sdlcLSStatsPollRspsOut"), ("SNA-SDLC-MIB", "sdlcLSStatsLocalBusies"), ("SNA-SDLC-MIB", "sdlcLSStatsRemoteBusies"), ("SNA-SDLC-MIB", "sdlcLSStatsIFramesIn"), ("SNA-SDLC-MIB", "sdlcLSStatsIFramesOut"), ("SNA-SDLC-MIB", "sdlcLSStatsRetransmitsIn"), ("SNA-SDLC-MIB", "sdlcLSStatsRetransmitsOut"), ("SNA-SDLC-MIB", "sdlcLSStatsUIFramesIn"), ("SNA-SDLC-MIB", "sdlcLSStatsUIFramesOut"), ("SNA-SDLC-MIB", "sdlcLSStatsXIDsIn"), ("SNA-SDLC-MIB", "sdlcLSStatsXIDsOut"), ("SNA-SDLC-MIB", "sdlcLSStatsTESTsIn"), ("SNA-SDLC-MIB", "sdlcLSStatsTESTsOut"), ("SNA-SDLC-MIB", "sdlcLSStatsREJsIn"), ("SNA-SDLC-MIB", "sdlcLSStatsREJsOut"), ("SNA-SDLC-MIB", "sdlcLSStatsFRMRsIn"), ("SNA-SDLC-MIB", "sdlcLSStatsFRMRsOut"), ("SNA-SDLC-MIB", "sdlcLSStatsSIMsIn"), ("SNA-SDLC-MIB", "sdlcLSStatsSIMsOut"), ("SNA-SDLC-MIB", "sdlcLSStatsRIMsIn"), ("SNA-SDLC-MIB", "sdlcLSStatsRIMsOut"), ("SNA-SDLC-MIB", "sdlcLSStatsProtocolErrs"), ("SNA-SDLC-MIB", "sdlcLSStatsRNRLIMITs"), ("SNA-SDLC-MIB", "sdlcLSStatsRetriesExps")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): sdlcCoreLSStatsGroup = sdlcCoreLSStatsGroup.setStatus('current') sdlcPrimaryGroups = MibIdentifier((1, 3, 6, 1, 2, 1, 41, 1, 4, 2, 2)) sdlcPrimaryGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 41, 1, 4, 2, 2, 1)).setObjects(("SNA-SDLC-MIB", "sdlcPortAdminPAUSE"), ("SNA-SDLC-MIB", "sdlcPortOperPAUSE"), ("SNA-SDLC-MIB", "sdlcLSAdminREPLYTO"), ("SNA-SDLC-MIB", "sdlcLSOperREPLYTO")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): sdlcPrimaryGroup = sdlcPrimaryGroup.setStatus('current') sdlcPrimaryMultipointGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 41, 1, 4, 2, 2, 2)).setObjects(("SNA-SDLC-MIB", "sdlcPortAdminSERVLIM"), ("SNA-SDLC-MIB", "sdlcPortAdminSlowPollTimer"), ("SNA-SDLC-MIB", "sdlcPortOperSlowPollMethod"), ("SNA-SDLC-MIB", "sdlcPortOperSERVLIM"), ("SNA-SDLC-MIB", "sdlcPortOperSlowPollTimer")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): sdlcPrimaryMultipointGroup = sdlcPrimaryMultipointGroup.setStatus('current') mibBuilder.exportSymbols("SNA-SDLC-MIB", sdlcPortStatsRetriesExps=sdlcPortStatsRetriesExps, sdlcLSAdminTable=sdlcLSAdminTable, sdlcLSStatsXIDsOut=sdlcLSStatsXIDsOut, sdlcLSOperLastFailFRMRInfo=sdlcLSOperLastFailFRMRInfo, sdlcPortOperSlowPollMethod=sdlcPortOperSlowPollMethod, sdlcLSOperEcho=sdlcLSOperEcho, sdlcPortStatsRetransmitsIn=sdlcPortStatsRetransmitsIn, sdlcPortOperLastModifyTime=sdlcPortOperLastModifyTime, sdlcLSAdminState=sdlcLSAdminState, sdlcLSOperREPLYTO=sdlcLSOperREPLYTO, sdlcCoreLSAdminGroup=sdlcCoreLSAdminGroup, sdlcLSOperMAXIN=sdlcLSOperMAXIN, sdlcLSStatsRIMsIn=sdlcLSStatsRIMsIn, sdlcPortStatsOctetsIn=sdlcPortStatsOctetsIn, sdlcPortOperTopology=sdlcPortOperTopology, sdlcPortStatsInvalidAddresses=sdlcPortStatsInvalidAddresses, sdlcLSStatsDISCIn=sdlcLSStatsDISCIn, sdlcLSStatsRetransmitsIn=sdlcLSStatsRetransmitsIn, sdlcLSStatsDISCOut=sdlcLSStatsDISCOut, sdlcLSStatusChange=sdlcLSStatusChange, sdlcLSAdminREPLYTO=sdlcLSAdminREPLYTO, sdlcPortStatsRetransmitsOut=sdlcPortStatsRetransmitsOut, sdlcLSAdminRETRIESm=sdlcLSAdminRETRIESm, sdlcLSOperRETRIESt=sdlcLSOperRETRIESt, sdlcLSOperGPoll=sdlcLSOperGPoll, sdlcLSStatsTESTsOut=sdlcLSStatsTESTsOut, sdlcLSStatsFRMRsOut=sdlcLSStatsFRMRsOut, sdlcLSStatsUIFramesIn=sdlcLSStatsUIFramesIn, sdlcLSAdminEntry=sdlcLSAdminEntry, sdlcPortStatsIFramesIn=sdlcPortStatsIFramesIn, sdlcPortAdminType=sdlcPortAdminType, sdlcLSStatsXIDsIn=sdlcLSStatsXIDsIn, sdlcLSStatsPollsOut=sdlcLSStatsPollsOut, sdlcPortAdminACTIVTO=sdlcPortAdminACTIVTO, sdlcLSOperLastModifyTime=sdlcLSOperLastModifyTime, sdlcLSStatsREJsIn=sdlcLSStatsREJsIn, sdlcLSOperState=sdlcLSOperState, sdlcLSStatsOctetsOut=sdlcLSStatsOctetsOut, sdlcLSOperDATMODE=sdlcLSOperDATMODE, sdlcLSStatsRetransmitsOut=sdlcLSStatsRetransmitsOut, sdlcPrimaryMultipointGroup=sdlcPrimaryMultipointGroup, sdlcLSAddress=sdlcLSAddress, sdlcPrimaryCompliance=sdlcPrimaryCompliance, sdlcPortStatsEntry=sdlcPortStatsEntry, sdlcLSOperMAXDATASend=sdlcLSOperMAXDATASend, sdlcCoreLSStatsGroup=sdlcCoreLSStatsGroup, sdlcPortOperACTIVTO=sdlcPortOperACTIVTO, sdlcLSOperMODULO=sdlcLSOperMODULO, sdlcLSStatsUAIn=sdlcLSStatsUAIn, sdlcPortAdminSlowPollTimer=sdlcPortAdminSlowPollTimer, sdlcPrimaryMultipointCompliance=sdlcPrimaryMultipointCompliance, sdlcConformance=sdlcConformance, sdlcLSOperXmitRcvCap=sdlcLSOperXmitRcvCap, sdlcCoreGroups=sdlcCoreGroups, sdlcLSStatsUIFramesOut=sdlcLSStatsUIFramesOut, sdlcPortOperLastFailCause=sdlcPortOperLastFailCause, sdlcLSStatsOctetsIn=sdlcLSStatsOctetsIn, sdlcLSOperLastFailCtrlIn=sdlcLSOperLastFailCtrlIn, sdlcLSStatsBLUsOut=sdlcLSStatsBLUsOut, sdlcPortOperTable=sdlcPortOperTable, sdlcLSOperSimRim=sdlcLSOperSimRim, sdlcLSStatsEntry=sdlcLSStatsEntry, sdlcPortAdminSERVLIM=sdlcPortAdminSERVLIM, sdlcLSStatsRNRLIMITs=sdlcLSStatsRNRLIMITs, sdlcLSStatsTESTsIn=sdlcLSStatsTESTsIn, sdlcGroups=sdlcGroups, sdlcPortOperRole=sdlcPortOperRole, sdlcLSStatsTable=sdlcLSStatsTable, sdlcLSStatsFRMRsIn=sdlcLSStatsFRMRsIn, sdlcCoreLSOperGroup=sdlcCoreLSOperGroup, sdlcPortStatsPollsOut=sdlcPortStatsPollsOut, sdlcLSOperRole=sdlcLSOperRole, sdlcLSStatsRIMsOut=sdlcLSStatsRIMsOut, sdlcPortOperLastFailTime=sdlcPortOperLastFailTime, sdlcLSOperLastFailTime=sdlcLSOperLastFailTime, sdlcPortStatsProtocolErrs=sdlcPortStatsProtocolErrs, sdlcLSAdminMAXDATASend=sdlcLSAdminMAXDATASend, sdlcLSStatsProtocolErrs=sdlcLSStatsProtocolErrs, sdlcTraps=sdlcTraps, sdlcLSOperEntry=sdlcLSOperEntry, sdlcLSOperRETRIESm=sdlcLSOperRETRIESm, sdlcPrimaryGroups=sdlcPrimaryGroups, sdlcLSAdminISTATUS=sdlcLSAdminISTATUS, sdlcLSAdminSimRim=sdlcLSAdminSimRim, sdlcLSStatsSNRMIn=sdlcLSStatsSNRMIn, sdlcPortAdminTable=sdlcPortAdminTable, snaDLC=snaDLC, sdlcPortStatsPhysicalFailures=sdlcPortStatsPhysicalFailures, sdlcLSOperTable=sdlcLSOperTable, sdlcPortGroup=sdlcPortGroup, sdlcPortOperSlowPollTimer=sdlcPortOperSlowPollTimer, sdlcLSStatsPollsIn=sdlcLSStatsPollsIn, sdlcPortStatsLocalBusies=sdlcPortStatsLocalBusies, sdlcPortStatsRemoteBusies=sdlcPortStatsRemoteBusies, sdlcPortAdminName=sdlcPortAdminName, sdlcPortAdminTopology=sdlcPortAdminTopology, sdlcLSStatsIFramesOut=sdlcLSStatsIFramesOut, sdlcLSStatsUAOut=sdlcLSStatsUAOut, sdlcLSStatsRetriesExps=sdlcLSStatsRetriesExps, sdlcPortOperType=sdlcPortOperType, sdlcLSStatsREJsOut=sdlcLSStatsREJsOut, sdlcPortAdminEntry=sdlcPortAdminEntry, sdlcPortStatsOctetsOut=sdlcPortStatsOctetsOut, sdlcPortAdminRole=sdlcPortAdminRole, sdlcCoreCompliance=sdlcCoreCompliance, sdlcPortAdminISTATUS=sdlcPortAdminISTATUS, sdlcPrimaryGroup=sdlcPrimaryGroup, sdlcPortOperEntry=sdlcPortOperEntry, sdlcLSStatsRemoteBusies=sdlcLSStatsRemoteBusies, sdlcLSAdminMODULO=sdlcLSAdminMODULO, sdlcCorePortOperGroup=sdlcCorePortOperGroup, sdlcLSStatsDMIn=sdlcLSStatsDMIn, sdlcLSAdminXmitRcvCap=sdlcLSAdminXmitRcvCap, sdlcLSAdminRETRIESn=sdlcLSAdminRETRIESn, sdlcLSAdminRNRLIMIT=sdlcLSAdminRNRLIMIT, sdlcLSStatsDMOut=sdlcLSStatsDMOut, PYSNMP_MODULE_ID=snaDLC, sdlcLSAdminName=sdlcLSAdminName, sdlcCompliances=sdlcCompliances, sdlcLSOperLastFailCtrlOut=sdlcLSOperLastFailCtrlOut, sdlcLSStatsSIMsIn=sdlcLSStatsSIMsIn, sdlcPortOperISTATUS=sdlcPortOperISTATUS, sdlcLSAdminRETRIESt=sdlcLSAdminRETRIESt, sdlcLSAdminMAXOUT=sdlcLSAdminMAXOUT, sdlcLSOperName=sdlcLSOperName, sdlcLSOperMAXOUT=sdlcLSOperMAXOUT, sdlcLSStatsLocalBusies=sdlcLSStatsLocalBusies, sdlcLSAdminDATMODE=sdlcLSAdminDATMODE, sdlcLSAdminMAXIN=sdlcLSAdminMAXIN, sdlcPortOperName=sdlcPortOperName, sdlcLSGroup=sdlcLSGroup, sdlcLSAdminGPoll=sdlcLSAdminGPoll, sdlcPortStatsPollRspsOut=sdlcPortStatsPollRspsOut, sdlcLSStatsPollRspsIn=sdlcLSStatsPollRspsIn, sdlcLSAdminMAXDATARcv=sdlcLSAdminMAXDATARcv, sdlcPortStatsTable=sdlcPortStatsTable, sdlcLSOperLastFailCause=sdlcLSOperLastFailCause, sdlcPortStatsActivityTOs=sdlcPortStatsActivityTOs, sdlcLSOperRETRIESn=sdlcLSOperRETRIESn, sdlcPortAdminPAUSE=sdlcPortAdminPAUSE, sdlcLSAdminRowStatus=sdlcLSAdminRowStatus, sdlcPortOperPAUSE=sdlcPortOperPAUSE, sdlcPortStatsPollRspsIn=sdlcPortStatsPollRspsIn, sdlcLSStatsBLUsIn=sdlcLSStatsBLUsIn, sdlcPortOperSERVLIM=sdlcPortOperSERVLIM, sdlcLSStatsIFramesIn=sdlcLSStatsIFramesIn, sdlcPortStatsIFramesOut=sdlcPortStatsIFramesOut, sdlcCorePortAdminGroup=sdlcCorePortAdminGroup, sdlcLSOperRNRLIMIT=sdlcLSOperRNRLIMIT, sdlcLSStatsSNRMOut=sdlcLSStatsSNRMOut, sdlc=sdlc, sdlcPortStatsPollsIn=sdlcPortStatsPollsIn, sdlcPortStatusChange=sdlcPortStatusChange, sdlcPortStatsDwarfFrames=sdlcPortStatsDwarfFrames, sdlcLSStatsActivityTOs=sdlcLSStatsActivityTOs, sdlcLSOperLastFailREPLYTOs=sdlcLSOperLastFailREPLYTOs, sdlcCorePortStatsGroup=sdlcCorePortStatsGroup, sdlcLSStatsPollRspsOut=sdlcLSStatsPollRspsOut, sdlcLSStatsSIMsOut=sdlcLSStatsSIMsOut, sdlcPortStatsRNRLIMITs=sdlcPortStatsRNRLIMITs)

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45,688

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134.772861

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0

null

0

1

0

null

0

2

bbcedb79e863608779477209f699fa7b175b6341

511

py

Python

jenkinscli/cli/main.py

bernardoVale/jenkins-cli

fe2507e1c9cfaee3eee05d7802857313071c9d5f

[ "Apache-2.0" ]

null

jenkinscli/cli/main.py

bernardoVale/jenkins-cli

fe2507e1c9cfaee3eee05d7802857313071c9d5f

[ "Apache-2.0" ]

2

2017-04-23T00:12:13.000Z

2017-04-23T21:28:25.000Z

jenkinscli/cli/main.py

bernardoVale/jenkins-cli

fe2507e1c9cfaee3eee05d7802857313071c9d5f

[ "Apache-2.0" ]

null

import sys import jenkins from .parser import parser # Tries to fetch configuration from the environment try: from . import DEFAULT_CONFIG url, username, password = DEFAULT_CONFIG except: print("Cannot collect configuration from the environment") exit(1) def main(): server = jenkins.Jenkins(url, username=username, password=password, timeout=240) args = parser.parse_args() if len(sys.argv) <= 1: parser.print_help() parser.exit() args.func(args, server)

20.44

84

0.696673

65

511

5.415385

0.538462

0.096591

0.113636

0.176136

0

0.012407

0.21135

511

24

85

21.291667

0.861042

0.09589

0

0.106522

0

1

0.0625

false

0.125

0.25

0

0.3125

0.125

0

null

0

1

0

null

0

1

0

2

bbd54565cd953fb1907ec1f41bd0d9c23b09d825

280

py

Python

tests.py

esoergel/submission_api_example

bdeb5633b1139f565a74ef578ee566115fecbf01

[ "Apache-2.0" ]

null

tests.py

esoergel/submission_api_example

bdeb5633b1139f565a74ef578ee566115fecbf01

[ "Apache-2.0" ]

1

2021-12-06T20:29:54.000Z

2021-12-13T20:32:37.000Z

tests.py

esoergel/submission_api_example

bdeb5633b1139f565a74ef578ee566115fecbf01

[ "Apache-2.0" ]

1

2021-12-06T20:27:00.000Z

#!/usr/bin/env python3 import doctest import unittest import submit_data class DocTests(unittest.TestCase): def test_doctests(self): results = doctest.testmod(submit_data) self.assertEqual(results.failed, 0) if __name__ == '__main__': unittest.main()

17.5

46

0.714286

34

280

5.558824

0.676471

0.10582

0

0.008734

0.182143

280

15

47

18.666667

0.816594

0.075

0

0.031008

0

0.111111

1

0.111111

false

0

0.333333

0

0.555556

0

null

0

null

0

1

0

1

0

2

bbec070aa2ff91436f601475c91ff9c89d4a0f38

328

py

Python

Projetos/exercicio_mes_por_extenso.py

anderson-br-ti/python

d65d851f0934267dff9256dfdac09b100efb3b45

[ "MIT" ]

null

Projetos/exercicio_mes_por_extenso.py

anderson-br-ti/python

d65d851f0934267dff9256dfdac09b100efb3b45

[ "MIT" ]

null

Projetos/exercicio_mes_por_extenso.py

anderson-br-ti/python

d65d851f0934267dff9256dfdac09b100efb3b45

[ "MIT" ]

null

#dia, mês, ano = input ('Qual é a data do seu nascimento (no formato dd/mm/aaaa)? ').split('/') #meses = '''janeiro fevereiro março abril maio junho julho # agosto setembro outubro novembro dezembro'''.split() #print (dia, 'de', meses [int (mês) -1], 'de', ano) for letra in 'aeiou': print (letra)

23.428571

95

0.609756

46

328

4.347826

0.826087

0

0.003968

0.231707

328

13

96

25.230769

0.789683

0.832317

0

0.106383

0

1

0

false

0

0.5

0

null

0

1

0

null

0

1

0

2

a566fd8c43c862cab7e4250aec18c8b8495f8ba7

84

py

Python

Python/if-else.py

bunny8469/Hello-World

722b5961cbcd9b2c2eec2cb6aa700eaa451e008b

[ "MIT" ]

133

2021-01-15T16:29:40.000Z

2022-03-21T16:35:42.000Z

Python/if-else.py

bunny8469/Hello-World

722b5961cbcd9b2c2eec2cb6aa700eaa451e008b

[ "MIT" ]

117

2021-01-17T08:54:22.000Z

2022-01-17T16:38:11.000Z

Python/if-else.py

bunny8469/Hello-World

722b5961cbcd9b2c2eec2cb6aa700eaa451e008b

[ "MIT" ]

146

2021-01-15T12:57:19.000Z

2022-03-15T20:10:23.000Z

t=int(input()) if t>=1: print("bigger than 1") else: print("smaller than 1")

16.8

27

0.595238

15

84

3.333333

0.666667

0.2

0

0.044776

0.202381

84

5

27

16.8

0.701493

0

0.317647

0

1

0

false

0

0.4

1

0

null

0

1

0

null

0

2

a586943fd221daa122c231bb2dd76459100f8c10

1,720

py

Python

lib/dataprovider.py

mycarcoach/engine

bfc777c5ff26acb58716fe53da28f1d5dca548a0

[ "MIT" ]

null

lib/dataprovider.py

mycarcoach/engine

bfc777c5ff26acb58716fe53da28f1d5dca548a0

[ "MIT" ]

1

2019-03-09T19:50:31.000Z

lib/dataprovider.py

mycarcoach/engine

bfc777c5ff26acb58716fe53da28f1d5dca548a0

[ "MIT" ]

null

#!/usr/bin/env python from enum import Enum import json import queue import threading import paho.mqtt.client as mqtt # must be here because of the shitty library design of paho-mqtt speedQueue = queue.Queue() accelQueue = queue.Queue() breakePressQueue = queue.Queue() signals = ["ESP_v_Signal", "ESP_Laengsbeschl", "ESP_Bremsdruck"] def on_connect(client, userdata, flags, rc): print("Connected with result code "+str(rc)) for signal in signals: print(f"subscribing to /signal/{signal}") client.subscribe(f"/signal/{signal}") def on_message(client, userdata, msg): if "/signal/ESP_v_Signal"== msg.topic: speedQueue.put(msg) elif "/signal/ESP_Laengsbeschl" == msg.topic: accelQueue.put(msg) elif "/signal/ESP_Bremsdruck" == msg.topic: breakePressQueue.put(msg) else: print("other topic") # provides the data acquired from the websocket server class DataProvider(): def __init__(self): self.t = threading.Thread(target=self.inputThread) self.t.start() def inputThread(self): client = mqtt.Client() client.on_connect = on_connect client.on_message = on_message client.connect("46.101.168.60", 1883, 60) client.loop_forever() def getSpeed(self): return speedQueue.get() def getAccel(self): return accelQueue.get() def getBreakePress(self): return breakePressQueue.get() def getSpeedSize(self): return speedQueue.qsize() def accelQueueSize(self): return accelQueue.qsize() def breakePressQueueSize(self): return breakePressQueue.qsize()

26.875

65

0.647093

202

1,720

5.415842

0.435644

0.054845

0.018282

0.02925

0.034735

0

0.012336

0.24593

1,720

63

66

27.301587

0.831149

0.07907

0

0.135705

0.030303

0

1

0.222222

false

0

0.111111

0.133333

0.488889

0.066667

0

null

0

null

0

1

0

1

0

2

a591cc8ee2915d9acf7cce2ee91c62003443ed0b

178

py

Python

Python/FizzBuzz(O(n)).py

Hinal-Srivastava/Hacktoberfest-2020-FizzBuzz

f49d658f90b462daab01b0be6d9356f42f2f7b92

[ "Unlicense" ]

null

Python/FizzBuzz(O(n)).py

Hinal-Srivastava/Hacktoberfest-2020-FizzBuzz

f49d658f90b462daab01b0be6d9356f42f2f7b92

[ "Unlicense" ]

null

Python/FizzBuzz(O(n)).py

Hinal-Srivastava/Hacktoberfest-2020-FizzBuzz

f49d658f90b462daab01b0be6d9356f42f2f7b92

[ "Unlicense" ]

null

for i in range(1,101): if(i%3==0 and i%5==0): print("FizzBuzz") if(i%3==0): print("Fizz") if(i%5==0): print("Buzz") else: print(i)

19.777778

26

0.432584

31

178

2.483871

0.516129

0.116883

0.103896

0.12987

0

0.102564

0.342697

178

9

27

19.777778

0.555556

0

0.089385

0

1

0

false

0

0.444444

0

null

0

1

0

null

0

1

0

2

a5a3ae23d259efe022e464d250946d6077202b1c

134

py

Python

hotkey/clicker.py

Saevon/Recipes

ab8ca9b5244805d545da2dd1d80d249f1ec6057d

[ "MIT" ]

null

hotkey/clicker.py

Saevon/Recipes

ab8ca9b5244805d545da2dd1d80d249f1ec6057d

[ "MIT" ]

null

hotkey/clicker.py

Saevon/Recipes

ab8ca9b5244805d545da2dd1d80d249f1ec6057d

[ "MIT" ]

null

from key_events import * import os os.nice(40) pos = position() for x in range(1000): #time.sleep(.25) mouseclick(*pos)

9.571429

24

0.641791

21

134

4.047619

0.857143

0

0.076923

0.223881

134

13

25

10.307692

0.740385

0.11194

0

1

0

false

0

0.333333

0

0.333333

0

1

0

null

0

null

0

1

0

2

3c20bb728cd9dc2786ccc7d0797ccf4b518033f1

10,398

py

Python

src/investigations/TFCorrectedFeatureAssociations.py

willgdjones/GTEx

c56a5d548978545ab8a98e74236d52343113e9e6

[ "MIT" ]

2

2019-02-21T13:05:31.000Z

2020-02-02T14:37:29.000Z

src/investigations/TFCorrectedFeatureAssociations.py

willgdjones/GTEx

c56a5d548978545ab8a98e74236d52343113e9e6

[ "MIT" ]

null

src/investigations/TFCorrectedFeatureAssociations.py

willgdjones/GTEx

c56a5d548978545ab8a98e74236d52343113e9e6

[ "MIT" ]

null

import os import sys import pickle import matplotlib.pyplot as plt import numpy as np import h5py import argparse from sklearn.decomposition import PCA from sklearn.linear_model import LinearRegression from matplotlib.colors import Normalize sys.path.insert(0, os.getcwd()) from src.utils.helpers import * import statsmodels.stats.multitest as smm from gprofiler import GProfiler import multiprocess as mp from tqdm import tqdm import time from pebble import ProcessPool, ProcessExpired from concurrent.futures import TimeoutError GTEx_directory = '/hps/nobackup/research/stegle/users/willj/GTEx' parser = argparse.ArgumentParser(description='Collection of experiments. Runs on the cluster.') parser.add_argument('-g', '--group', help='Experiment group', required=True) parser.add_argument('-n', '--name', help='Experiment name', required=True) parser.add_argument('-p', '--params', help='Parameters') parser.add_argument('-l', '--parallel', help='Parallel') args = vars(parser.parse_args()) group = args['group'] name = args['name'] parameter_key = args['params'] parallel = args['parallel'] class TFCorrectedFeatureAssociations(): @staticmethod def compute_pvalues(): os.makedirs(GTEx_directory + '/intermediate_results/{}'.format(group), exist_ok=True) M = 2000 k = 1 print('Computing technical factor corrected associations') t, a, m, s = parameter_key.split('_') Y, X, dIDs, filt_tIDs, tfs, ths, t_idx = filter_and_correct_expression_and_image_features(t, m, a, s, M, k, pc_correction=False, tf_correction=True) N = Y.shape[1] print('Computing {} x {} = {} associations for: '.format(N, M, N*M), t, a, m, s) print ("Normalising data") n_Y = np.zeros_like(Y) for i in range(1024): original_feature = Y[:,i] normalized_feature = normalize_feature(original_feature) n_Y[:,i] = normalized_feature res = compute_pearsonR(n_Y, X) results = [res, filt_tIDs] pickle.dump(results, open(GTEx_directory + '/intermediate_results/{group}/{name}_{key}.pickle'.format(group=group, name=name, key=parameter_key), 'wb')) Rs_real, pvs_real, pvs_1 = res Rs_real[np.isnan(Rs_real)] = 0 sorted_idx = np.argsort(Rs_real.flatten()**2)[::-1] top10associations = [] for i in range(10): position = sorted_idx[i] expected_R = Rs_real.flatten()[sorted_idx[i]] f, t = np.argwhere(Rs_real == expected_R)[0] print (f,t) feature = n_Y[:,f] transcript = X[:,t] R, pv = pearsonr(feature, transcript) assert R == expected_R transcript_name = get_gene_name(filt_tIDs[t]) association_data = [feature, f, transcript, transcript_name, pv, R] top10associations.append(association_data) pickle.dump(top10associations, open(GTEx_directory + '/results/{group}/top10associations_{key}.pickle'.format(group=group, key=parameter_key), 'wb')) @staticmethod def top10associations(): t, a, m, s = parameter_key.split('_') results = pickle.load(open(GTEx_directory + '/intermediate_results/{group}/compute_pvalues_{key}.pickle'.format(group=group, key=parameter_key), 'rb')) res, filt_tIDs = results Rs_real, pvs_real, pvs_1 = res Rs_real[np.isnan(Rs_real)] = 0 sorted_idx = np.argsort(Rs_real.flatten()**2)[::-1] import pdb; pdb.set_trace() top10associations = [] for i in range(10): position = sorted_idx[i] expected_R = Rs_real.flatten()[sorted_idx[i]] f, t = np.argwhere(Rs_real == expected_R)[0] print (f,t) feature = n_Y[:,f] transcript = X[:,t] R, pv = pearsonr(feature, transcript) assert R == expected_R transcript_name = get_gene_name(filt_tIDs[t]) association_data = [feature, f, transcript, transcript_name, pv, R] top10associations.append(association_data) pickle.dump(top10associations, open(GTEx_directory + '/results/{group}/top10associations_{key}.pickle'.format(group=group, key=parameter_key), 'wb')) @staticmethod def associations_across_patchsizes(): import statsmodels.stats.multitest as smm os.makedirs(GTEx_directory + '/results/{}'.format(group), exist_ok=True) print ("Loading association data") association_results, most_varying_feature_idx, filt_transcriptIDs = pickle.load(open(GTEx_directory + '/intermediate_results/TFCorrectedFeatureAssociations/corrected_pvalues.pickle', 'rb')) SIZES = [128, 256, 512, 1024, 2048, 4096] ALPHAS = [0.01, 0.001, 0.0001,0.00001] print ("Calculating Bonferroni significant associations:") all_counts = [] for alph in ALPHAS: print ("Alpha: ", alph) size_counts = [] for s in SIZES: print ("Patch size: ", s) pvalues = association_results['{}_{}_{}_{}'.format('Lung','mean','retrained',s)][1].flatten() counts = sum(smm.multipletests(pvalues, method='bonferroni',alpha=alph)[0]) size_counts.append(counts) all_counts.append(size_counts) print ("Saving results") pickle.dump(all_counts, open(GTEx_directory + '/results/{group}/{name}.pickle'.format(group=group, name=name), 'wb')) @staticmethod def associations_raw_vs_retrained(): import statsmodels.stats.multitest as smm os.makedirs(GTEx_directory + '/results/{}'.format(group), exist_ok=True) print ("Loading association data") association_results, most_varying_feature_idx, filt_transcriptIDs = pickle.load(open(GTEx_directory + '/intermediate_results/TFCorrectedFeatureAssociations/corrected_pvalues.pickle', 'rb')) alpha = 0.0001 SIZES = [128, 256, 512, 1024, 2048, 4096] MODELS = ['retrained', 'raw'] print ("Calculating Bonferroni significant associations:") all_counts = [] for m in MODELS: print ("Model: ", m) model_counts = [] for s in SIZES: print ("Patch size: ", s) pvalues = association_results['{}_{}_{}_{}'.format('Lung','mean',m,s)][1].flatten() counts = sum(smm.multipletests(pvalues, method='bonferroni',alpha=alpha)[0]) model_counts.append(counts) all_counts.append(model_counts) print ("Saving results") pickle.dump(all_counts, open(GTEx_directory + '/results/{group}/{name}.pickle'.format(group=group, name=name), 'wb')) @staticmethod def associations_mean_vs_median(): import statsmodels.stats.multitest as smm os.makedirs(GTEx_directory + '/results/{}'.format(group), exist_ok=True) print ("Loading association data") association_results, most_varying_feature_idx, filt_transcriptIDs = pickle.load(open(GTEx_directory + '/intermediate_results/TFCorrectedFeatureAssociations/corrected_pvalues.pickle', 'rb')) alpha = 0.0001 SIZES = [128, 256, 512, 1024, 2048, 4096] AGGREGATIONS = ['mean', 'median'] print ("Calculating Bonferroni significant associations:") all_counts = [] for a in AGGREGATIONS: print ("Aggregation: ", a) aggregation_counts = [] for s in SIZES: print ("Patch size: ", s) pvalues = association_results['{}_{}_{}_{}'.format('Lung',a,'retrained',s)][1].flatten() counts = sum(smm.multipletests(pvalues, method='bonferroni',alpha=alpha)[0]) aggregation_counts.append(counts) all_counts.append(aggregation_counts) print ("Saving results") pickle.dump(all_counts, open(GTEx_directory + '/results/{group}/{name}.pickle'.format(group=group, name=name), 'wb')) @staticmethod def features_with_significant_transcripts(): import statsmodels.stats.multitest as smm os.makedirs(GTEx_directory + '/results/{}'.format(group), exist_ok=True) print ("Loading association data") association_results, most_varying_feature_idx, filt_transcriptIDs = pickle.load(open(GTEx_directory + '/intermediate_results/TFCorrectedFeatureAssociations/corrected_pvalues.pickle', 'rb')) alpha = 0.0001 SIZES = [128, 256, 512, 1024, 2048, 4096] print ("Calculating Bonferroni significant associations:") size_counts = [] for s in SIZES: print ("Patch size: ", s) pvalues = association_results['{}_{}_{}_{}'.format('Lung','mean','retrained',s)][1] original_shape = pvalues.shape counts = sum(np.sum(smm.multipletests(pvalues.flatten(),method='bonferroni',alpha=alpha)[0].reshape(original_shape),axis=1) > 0) size_counts.append(counts) print ("Saving results") pickle.dump(size_counts, open(GTEx_directory + '/results/{group}/{name}.pickle'.format(group=group, name=name), 'wb')) @staticmethod def transcripts_with_significant_features(): import statsmodels.stats.multitest as smm os.makedirs(GTEx_directory + '/results/{}'.format(group), exist_ok=True) print ("Loading association data") association_results, most_varying_feature_idx, filt_transcriptIDs = pickle.load(open(GTEx_directory + '/intermediate_results/TFCorrectedFeatureAssociations/corrected_pvalues.pickle', 'rb')) alpha = 0.0001 SIZES = [128, 256, 512, 1024, 2048, 4096] print ("Calculating Bonferroni significant associations:") size_counts = [] for s in SIZES: print ("Patch size: ", s) pvalues = association_results['{}_{}_{}_{}'.format('Lung','mean','retrained',s)][1] original_shape = pvalues.shape counts = sum(np.sum(smm.multipletests(pvalues.flatten(),method='bonferroni',alpha=alpha)[0].reshape(original_shape),axis=0) > 0) size_counts.append(counts) print ("Saving results") pickle.dump(size_counts, open(GTEx_directory + '/results/{group}/{name}.pickle'.format(group=group, name=name), 'wb')) if __name__ == '__main__': eval(group + '().' + name + '()')

37.537906

197

0.642624

1,201

10,398

5.378018

0.17985

0.042267

0.036848

0.030655

0.735872

0.725654

0.688497

0.670847

0.636321

0

0.024984

0.226294

10,398

276

198

37.673913

0.777874

0

0.585492

0

0.181189

0.077515

0

0.010363

1

0.036269

false

0

0.124352

0

0.165803

0.145078

0

null

0

1

0

1

0

null

0

2

3c275e44b313e5315243ebf3ab70ee8d232f76e8

378

py

Python

manage.py

dragoon/prestashop-sync

7106909ba7a1ce7d0368afd1b41be6462c6d2310

[ "MIT" ]

4

2016-01-19T11:35:28.000Z

2019-03-25T20:06:22.000Z

manage.py

dragoon/prestashop-sync

7106909ba7a1ce7d0368afd1b41be6462c6d2310

[ "MIT" ]

null

manage.py

dragoon/prestashop-sync

7106909ba7a1ce7d0368afd1b41be6462c6d2310

[ "MIT" ]

2

2019-03-25T20:06:24.000Z

2021-08-31T08:53:52.000Z

#!/usr/bin/env python import os import sys proj_dir = os.path.abspath(os.path.dirname(__file__)) external_dir = os.path.join(proj_dir, 'external') sys.path.insert(0, external_dir) if __name__ == "__main__": os.environ.setdefault("DJANGO_SETTINGS_MODULE", "settings") from django.core.management import execute_from_command_line execute_from_command_line(sys.argv)

29.076923

64

0.772487

56

378

4.785714

0.571429

0.067164

0.164179

0

0.002959

0.10582

378

12

65

31.5

0.789941

0.05291

0

0.128852

0.061625

0

1

0

false

0

0.333333

0

0.333333

0

null

0

1

0

null

0

1

0

2

3c450644985aeac8aba6404d0d9b48c5deb59426

210

py

Python

service.py

nricklin/roadmapper9000

2f351a6a6c010a925448cf27a680cc4a3e4de31f

[ "MIT" ]

null

service.py

nricklin/roadmapper9000

2f351a6a6c010a925448cf27a680cc4a3e4de31f

[ "MIT" ]

null

service.py

nricklin/roadmapper9000

2f351a6a6c010a925448cf27a680cc4a3e4de31f

[ "MIT" ]

null

import roadmapper def handler(event, context): print event print context try: roadmapper.run() except Exception as e: print str(e) return str(e) return "{\"msg\":\"looks like something worked!\"}"

16.153846

52

0.695238

29

210

5.034483

0.689655

0.054795

0.136986

0

0.17619

210

13

52

16.153846

0.843931

0

0.023697

0

null

0

0.1

null

0.3

1

0

null

0

null

0

1

0

2

3c460df0f7a01efd9383c07408ff16c08c69be3f

427

py

Python

simple_exercises/profiti/sum_of_two_matrices.py

ilante/programming_immanuela_englander

45d51c99b09ae335a67e03ac5ea79fc775bdf0bd

[ "MIT" ]

null

simple_exercises/profiti/sum_of_two_matrices.py

ilante/programming_immanuela_englander

45d51c99b09ae335a67e03ac5ea79fc775bdf0bd

[ "MIT" ]

null

simple_exercises/profiti/sum_of_two_matrices.py

ilante/programming_immanuela_englander

45d51c99b09ae335a67e03ac5ea79fc775bdf0bd

[ "MIT" ]

null

A=[[1,2, 8], [3, 7,4]] B=[[5,6, 9], [7,6 ,0]] c=[] for i in range(len(A)): #range of len gives me indecesc. c.append([]) for j in range(len(A[i])): sum = A[i][j]+B[i][j] c[i].append(sum) print(c) # for i in range(len(A)): #range of len gives me indeces # for j in range(len(A[i])): #again indeces # sum = A[i][j]+B[i][j] # rowlist.append(sum) # print(rowlist) # rowlist =[]

25.117647

56

0.503513

83

427

2.590361

0.349398

0.130233

0.186047

0.204651

0.539535

0.306977

0

0.037975

0.259953

427

16

57

26.6875

0.642405

0.47541

0

1

0

false

0

0.111111

0

null

0

1

0

null

0

2

3c4ec73cc65108ee20c2a64c2347e068d28407dc

223

py

Python

weather/forms.py

Arvind-4/Weather-app-using-Django

c57382e32d08835afcb93c7d212448a0c8f30324

[ "MIT" ]

null

weather/forms.py

Arvind-4/Weather-app-using-Django

c57382e32d08835afcb93c7d212448a0c8f30324

[ "MIT" ]

null

weather/forms.py

Arvind-4/Weather-app-using-Django

c57382e32d08835afcb93c7d212448a0c8f30324

[ "MIT" ]

null

from django import forms class WeatherForm(forms.Form): name = forms.CharField(max_length=100, label=False, widget=forms.TextInput(attrs={ 'placeholder': 'Enter a Valid Place ...', 'class': 'form-control', }))

27.875

52

0.695067

28

223

5.5

0.821429

0

0.015789

0.147982

223

8

53

27.875

0.794737

0

0.227679

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1

0

false

0

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0.428571

0

1

0

null

0

1

0

null

0

2

3c561f143b1ba09d2b7c2115bc4452774b7deb85

268

py

Python

acceptance_tests/04-change_photon_energy.py

nsls-ii-esm-2/profile_collection

2684967eda34049d64e64b1b7fd4e62b1992c386

[ "BSD-3-Clause" ]

null

acceptance_tests/04-change_photon_energy.py

nsls-ii-esm-2/profile_collection

2684967eda34049d64e64b1b7fd4e62b1992c386

[ "BSD-3-Clause" ]

null

acceptance_tests/04-change_photon_energy.py

nsls-ii-esm-2/profile_collection

2684967eda34049d64e64b1b7fd4e62b1992c386

[ "BSD-3-Clause" ]

null

from ophyd.utils.errors import ReadOnlyError print("This should raise an error because EPU is not writeable during shutdown.") try: RE(Eph.move_to(90, grating='600', EPU='105', shutter='open')) except ReadOnlyError: print("The test raised the expected error.")

44.666667

81

0.75

40

268

5

0.875

0.18

0

0.034483

0.134328

268

6

82

44.666667

0.827586

0

0.434944

0

1

0

true

0

0.166667

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0.166667

0.333333

0

null

0

1

0

null

0

1

0

2

3c5877f21d017f6f67fb87a52e0d120e2f6e0f24

2,608

py

Python

modules/admin_account/code/login_views.py

xuhuiliang-maybe/ace_office

07fae18676a193206802e8fb9aa32a805b1da24c

[ "Apache-2.0" ]

1

2018-11-27T08:08:07.000Z

modules/admin_account/code/login_views.py

xuhuiliang-maybe/ace_office

07fae18676a193206802e8fb9aa32a805b1da24c

[ "Apache-2.0" ]

null

modules/admin_account/code/login_views.py

xuhuiliang-maybe/ace_office

07fae18676a193206802e8fb9aa32a805b1da24c

[ "Apache-2.0" ]

null

# coding=utf-8 from django.contrib import messages from django.contrib.auth import REDIRECT_FIELD_NAME from django.contrib.auth import authenticate, login, logout from django.contrib.sites.shortcuts import get_current_site from django.http import HttpResponseRedirect from django.shortcuts import resolve_url from django.template.response import TemplateResponse from django.utils.http import is_safe_url from django.views.decorators.cache import never_cache from django.views.decorators.csrf import csrf_protect from django.views.decorators.debug import sensitive_post_parameters from ace_office import settings @sensitive_post_parameters() @csrf_protect @never_cache def user_login(request, template_name='login.html', redirect_field_name=REDIRECT_FIELD_NAME, current_app=None): """显示登录表单和处理登录动作 :param request:请求对象 :param template_name:返回模板的名字 :param redirect_field_name:重定向字段名 :param current_app:当前应用程序 :return: """ redirect_to = request.POST.get(redirect_field_name, request.GET.get(redirect_field_name, '/')) remember_me = request.POST.get('remember_me', 0) username, password = "", "" if request.method == "POST": username = request.POST.get("username", "") password = request.POST.get("password", "") user = authenticate(username=username, password=password) print "login user==", user if user: print "is_staff==", user.is_staff print "is_active==", user.is_active if user and user.is_staff and user.is_active: # 确保用户始发重定向的网址是安全的。. if not is_safe_url(url=redirect_to, host=request.get_host()): redirect_to = resolve_url(settings.LOGIN_REDIRECT_URL) # Okay, 安全检查完成，登录用户。 else: login(request, user) # 检查是否保存 if remember_me: expiry_time = 14 * 24 * 3600 # 14天后登陆超时 request.session.set_expiry(expiry_time) return HttpResponseRedirect(redirect_to) elif user and not user.is_staff: messages.warning(request, u"您没有登录权限") elif user and not user.is_active: messages.warning(request, u"您已经离职，无登录权限") else: messages.warning(request, u"用户名或密码错误，登录失败") current_site = get_current_site(request) context = { redirect_field_name: redirect_to, 'site': current_site, 'site_name': current_site.name, "username": username, "password": password, } if current_app: request.current_app = current_app return TemplateResponse(request, template_name, context) def user_logout(request): def go_back(): # 管理后台登录 if '/login' in request.META.get('HTTP_REFERER', ""): redirect_to = "/login/" # 其他 else: redirect_to = '/' return HttpResponseRedirect(redirect_to) logout(request) return go_back()

28.977778

111

0.759586

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2,608

5.414773

0.284091

0.057712

0.062434

0.039349

0.049318

0.020986

0

0.005324

0.135736

2,608

89

112

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0.080645

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0.067647

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null

0.064516

0.193548

null

0.048387

0

null

0

null

0

1

0

1

0

2

3c776eec43754dd26c87acf3c198f54133d72f26

3,939

py

Python

automergetool/solvers/java_imports.py

xgouchet/AutoMergeTool

d63c057440a99e868e5eb25720f8d89640112f04

[ "Apache-2.0" ]

41

2017-04-10T10:12:32.000Z

2022-02-11T09:34:43.000Z

automergetool/solvers/java_imports.py

xgouchet/AutoMergeTool

d63c057440a99e868e5eb25720f8d89640112f04

[ "Apache-2.0" ]

14

2017-02-17T09:58:57.000Z

2018-02-12T14:38:51.000Z

automergetool/solvers/java_imports.py

xgouchet/ArachneMergeTool

d63c057440a99e868e5eb25720f8d89640112f04

[ "Apache-2.0" ]

5

2017-04-11T13:03:20.000Z

2021-06-23T08:41:10.000Z

#!/usr/bin/env python3 # -*- coding: utf-8 -*- from argparse import ArgumentParser, Namespace import re import sys from automergetool.amt_import_solver import ImportsSolver IMPORT_REGEX = re.compile('^\s*import\s+(static\s+)?(.*)\s*;\s*$') EMPTY_REGEX = re.compile('^[\s\n]*$') IMPORT_GROUPS_ORDER_ANDROID = [("import android.", 0), ("import com.", 1), ("import junit.", 2), ("import net.", 3), ("import org.", 4), ("import java.", 5), ("import javax.", 6), ("import ", 7), ("import static ", 8)] IMPORT_GROUPS_ORDER_IJ_IDEA = [("import ", 0), ("import javax.", 1), ("import java.", 2), ("import static ", 3)] IMPORT_GROUPS_ORDER_ECLIPSE = [("import static ", 0), ("import java.", 1), ("import javax.", 2), ("import org.", 3), ("import com.", 4), ("import ", 5)] ORDER_ANDROID = "android" ORDER_IJ_IDEA = "idea" ORDER_ECLIPSE = "eclipse" IMPORT_PRESETS = { ORDER_ANDROID: IMPORT_GROUPS_ORDER_ANDROID, ORDER_IJ_IDEA: IMPORT_GROUPS_ORDER_IJ_IDEA, ORDER_ECLIPSE: IMPORT_GROUPS_ORDER_ECLIPSE, } class JavaImportSolver(ImportsSolver): # TODO allow custom order configuration def __init__(self, order: str = None): super().__init__() if order is not None: self.set_import_groups(order) else: self.import_groups = [] def is_allowed_within_import_section(self, line: str) -> bool: if re.match(EMPTY_REGEX, line): return True else: return False def is_import_line(self, line: str) -> bool: return re.match(IMPORT_REGEX, line) is not None def set_import_groups(self, preset: str = None): """ Sets the preferred ordering for imports preset -- one of "android", "eclipse", "idea" """ if preset is not None: if preset in IMPORT_PRESETS: groups = IMPORT_PRESETS[preset] self.import_groups = sorted(groups, key=lambda grp: len(grp[0]), reverse=True) def get_import_group(self, imp: str): """ Returns the group index the imports belongs to imp -- the import line """ for group in self.import_groups: if imp.startswith(group[0]): return group[1] return len(self.import_groups) def are_imports_the_same(self, imp: str, other_imp: str): match = re.match(IMPORT_REGEX, imp) other_match = re.match(IMPORT_REGEX, other_imp) canonical = match.group(2).replace(" ", "").replace("\t", "") other_canonical = other_match.group(2).replace(" ", "").replace("\t", "") if match.group(1) is not None: static = match.group(1).replace(" ", "").replace("\t", "") else: static = "" if other_match.group(1) is not None: other_static = other_match.group(1).replace(" ", "").replace("\t", "") else: other_static = "" return (canonical == other_canonical) and (static == other_static) def parse_arguments(args: list) -> Namespace: """Parses the arguments passed on invocation in a dict and return it""" parser = ArgumentParser(description="A tool to combine multiple merge tools") parser.add_argument('-b', '--base', required=True) parser.add_argument('-l', '--local', required=True) parser.add_argument('-r', '--remote', required=True) parser.add_argument('-m', '--merged', required=True) parser.add_argument( '-o', '--order', choices=[ORDER_ECLIPSE, ORDER_IJ_IDEA, ORDER_ANDROID], required=False) return parser.parse_args(args) if __name__ == '__main__': args = parse_arguments(sys.argv[1:]) solver = JavaImportSolver(args.order) if solver.solve_import_conflicts(args.base, args.local, args.remote, args.merge): sys.exit(0) else: sys.exit(1)

35.486486

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0.063325

0.052331

0.036939

0.158311

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0.026385

0

0.011209

0.252602

3,939

110

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0.761209

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0

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0.093333

false

0

0.453333

0.013333

0.653333

0

null

0

null

0

1

0

1

0

2

3c7dff9d63589468ace1a9dda5b7f3225be4754f

1,639

py

Python

src/daily-coding-problem/medium/sort-singly-linked-lists/test_sort_singly_linked_lists.py

nwthomas/code-challenges

49c2532ff597495474e67b13f2ed9b9ad93d40b5

[ "MIT" ]

1

2020-12-11T05:54:59.000Z

src/daily-coding-problem/medium/sort-singly-linked-lists/test_sort_singly_linked_lists.py

nwthomas/code-challenges

49c2532ff597495474e67b13f2ed9b9ad93d40b5

[ "MIT" ]

1

2021-04-10T06:53:30.000Z

src/daily-coding-problem/medium/sort-singly-linked-lists/test_sort_singly_linked_lists.py

nwthomas/code-challenges

49c2532ff597495474e67b13f2ed9b9ad93d40b5

[ "MIT" ]

7

2019-11-24T12:10:35.000Z

2020-12-14T22:36:31.000Z

from sort_singly_linked_lists import Node, sort_singly_linked_lists import unittest class TestSortSinglyLinkedLists(unittest.TestCase): def create_singly_linked_list(self, values_list): """Creates a new SinglyLinkedList class and adds all values to it""" new_singly_linked_list = None for value in values_list: if not new_singly_linked_list: new_singly_linked_list = Node(value) else: new_singly_linked_list.add_node(value) return new_singly_linked_list def get_sorted_singly_linked_lists_values(self, sorted_singly_linked_list): """Takes in a sorted singly linked list and returns the values from it""" current = sorted_singly_linked_list final = [current.value] while current.next: current = current.next final.append(current.value) return final def test_returns_single_sorted_list(self): """Tests that two separate sorted singly linked lists are returned as one sorted one""" s1 = self.create_singly_linked_list([1, 3, 4, 6, 8, 40, 89, 28, 90, 100]) s2 = self.create_singly_linked_list([2, 5, 8, 11, 12, 100, 567, 1000]) s3 = self.create_singly_linked_list([1, 4, 6, 9, 10, 34, 162873, 126381672389, 123961987263]) result = sort_singly_linked_lists(s1, s2, s3) self.assertEqual(self.get_sorted_singly_linked_lists_values(result), [1, 1, 2, 3, 4, 4, 5, 6, 6, 8, 8, 9, 10, 11, 12, 28, 34, 40, 89, 90, 100, 100, 567, 1000, 162873, 123961987263, 126381672389]) if __name__ == "__main__": unittest.main()

43.131579

203

0.670531

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1,639

4.448276

0.357759

0.209302

0.186047

0.092054

0.19186

0.114341

0

0.11878

0.23978

1,639

38

204

43.131579

0.70947

0.129347

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1

0.115385

false

0

0.076923

0

0.307692

0

null

1

0

null

0

2

3c8687b7693dba00ca1c9fbc84868f02f8aa0663

584

py

Python

datatypes/binary/Binary.py

goeckslab/jbrowse-archive-creator

438557136c9dd4eb0db89835e5d253e44b50a7a3

[ "AFL-3.0" ]

2

2017-07-07T21:24:17.000Z

2021-01-15T02:58:12.000Z

datatypes/binary/Binary.py

goeckslab/jbrowse-archive-creator

438557136c9dd4eb0db89835e5d253e44b50a7a3

[ "AFL-3.0" ]

1

2017-06-26T13:58:05.000Z

datatypes/binary/Binary.py

Yating-L/jbrowse-archive-creator

c97fd2f545cf7b3115d5ddda5da7bb5e0936e73b

[ "AFL-3.0" ]

null

#!/usr/bin/python # -*- coding: utf8 -*- """ Super Class of the managed datatype """ import os import tempfile import collections import shutil import util from datatypes.Datatype import Datatype class Binary(Datatype): def __init__(self): super(Binary, self).__init__() def initSettings(self): super(Binary, self).initSettings() self.trackDataURL = os.path.join(self.myBinaryFolderPath, self.trackName) def createTrack(self): shutil.copy(self.inputFile, self.trackDataURL)

15.783784

81

0.631849

61

584

5.918033

0.52459

0.077562

0.083102

0.105263

0

0.002336

0.267123

584

37

82

15.783784

0.841122

0.125

0

1

0.214286

false

0

0.428571

0

0.714286

0

null

0

null

0

1

0

1

0

2

3c910df74e09b655f2bb6a2ea90498ee844cabc2

532

py

Python

funcaoParametros.py

renatabezerratech/Exerc-cios-Iniciais-Python

14eae25213542e68e01b1ad2ee74ce3f610c3281

[ "MIT" ]

null

funcaoParametros.py

renatabezerratech/Exerc-cios-Iniciais-Python

14eae25213542e68e01b1ad2ee74ce3f610c3281

[ "MIT" ]

null

funcaoParametros.py

renatabezerratech/Exerc-cios-Iniciais-Python

14eae25213542e68e01b1ad2ee74ce3f610c3281

[ "MIT" ]

null

#Criei uma função e esta recebeu parâmetros. def funcaoParametros(Par1,Par2): print(Par1+" "+"é a mãe da"+" "+Par2) #Vou chamar a função, passando o valor dos parâmetros: funcaoParametros("Renata","Rafaela") #Criei nova função com parâmetro que retorna um valor. def funcaoMultiplica(x): return x * x #Vou chamar a função, atribuir seu retorno a uma variável e imprimir a variável: f=funcaoMultiplica(5) print(f) #Posso mandar imprimir direto, chamando a função com um valor atribuído: print(funcaoMultiplica(2))

22.166667

80

0.744361

78

532

5.076923

0.589744

0.05303

0.050505

0.080808

0

0.013483

0.163534

532

23

81

23.130435

0.876404

0.56203

0

0.111111

0

1

0.25

false

0

0.125

0.375

0

null

0

null

0

1

0

1

0

2

3c92fff51d24d5fb34c572e52b233bd86eaa8941

4,691

py

Python

PrognosAIs/IO/utils.py

Svdvoort/prognosais

f5f144a2aac5610ea2450392853aa37bce311085

[ "Apache-2.0" ]

3

2020-11-10T09:21:51.000Z

2021-01-12T15:14:19.000Z

PrognosAIs/IO/utils.py

Svdvoort/prognosais

f5f144a2aac5610ea2450392853aa37bce311085

[ "Apache-2.0" ]

38

2020-11-18T14:19:25.000Z

2022-03-17T09:28:48.000Z

PrognosAIs/IO/utils.py

Svdvoort/prognosais

f5f144a2aac5610ea2450392853aa37bce311085

[ "Apache-2.0" ]

null

import importlib import os import shutil import logging import sys from pathlib import Path import numba.cuda import psutil import tensorflow as tf from slurmpie import slurmpie def create_directory(file_path, exist_ok=True): if not os.path.exists(file_path): os.makedirs(file_path, exist_ok=exist_ok) def delete_directory(file_path): if os.path.exists(file_path): shutil.rmtree(file_path) def copy_directory(original_directory, out_directory): shutil.copytree(original_directory, out_directory, dirs_exist_ok=True) def get_root_name(file_path): return os.path.basename(os.path.normpath(file_path)) def get_file_name_from_full_path(file_path): return os.path.basename(os.path.normpath(file_path)) def get_file_name(file_path, file_extension): root_name = get_root_name(file_path) if file_extension[0] != ".": file_extension = ".".join(file_extension) return root_name.split(file_extension)[0] def find_files_with_extension(file_path, file_extension): if file_extension[0] == ".": file_extension = file_extension[1:] return sorted( f_path.path for f_path in os.scandir(file_path) if (f_path.is_file() and file_extension in "".join(Path(f_path.name).suffixes)) ) def get_parent_directory(file_path): return os.path.dirname(os.path.normpath(os.path.abspath(file_path))) def get_file_path(file_path): file_name = get_root_name(file_path) file_path = file_path.split(file_name)[0] return normalize_path(file_path) def normalize_path(path): if path[-1] == os.sep: path = path[:-1] return path def get_number_of_cpus(): return len(os.sched_getaffinity(0)) def get_subdirectories(root_dir: str) -> list: return [f_path.path for f_path in os.scandir(root_dir) if f_path.is_dir()] def get_available_ram(used_memory: int = 0) -> int: """ Get the available RAM in bytes. Returns: int: available in RAM in bytes """ slurm_mem = slurmpie.System().get_job_memory() if slurm_mem is None: available_ram = psutil.virtual_memory().available else: # Convert from megabytes to bytes (*1024*1024) slurm_mem *= 1048576 available_ram = slurm_mem - used_memory return available_ram def get_dir_size(root_dir): """Returns total size of all files in dir (and subdirs)""" root_directory = Path(os.path.normpath(root_dir)) return sum(f.stat().st_size for f in root_directory.glob("**/*") if f.is_file()) def get_gpu_compute_capability(gpu: tf.config.PhysicalDevice) -> tuple: try: gpu_number = int(gpu.name.split(":")[-1]) cuda_device = numba.cuda.select_device(gpu_number) cuda_capability = cuda_device.compute_capability cuda_device.reset() except numba.cuda.cudadrv.error.CudaSupportError: # We do not actually have a cuda device cuda_capability = (0, 0) return cuda_capability def gpu_supports_float16(gpu: tf.config.PhysicalDevice) -> bool: gpu_compute_capability = get_gpu_compute_capability(gpu) # Float16 support is supported with at least compute capability 5.3 supports_float16 = (gpu_compute_capability[0] == 5 and gpu_compute_capability[1] >= 3) or ( gpu_compute_capability[0] > 5 ) return supports_float16 def gpu_supports_mixed_precision(gpu: tf.config.PhysicalDevice) -> bool: gpu_compute_capability = get_gpu_compute_capability(gpu) # Mixed precision has benefits on compute 7.5 and higher return gpu_compute_capability[0] >= 7 and gpu_compute_capability[1] >= 5 def get_gpu_devices() -> list: return tf.config.list_physical_devices("GPU") def get_number_of_gpu_devices() -> int: return len(tf.config.list_physical_devices("GPU")) def get_cpu_devices() -> list: return tf.config.list_physical_devices("CPU") def get_number_of_slurm_nodes() -> int: if "SLURM_JOB_NUM_NODES" in os.environ: number_of_slurm_nodes = int(os.environ["SLURM_JOB_NUM_NODES"]) else: number_of_slurm_nodes = 0 return number_of_slurm_nodes def load_module_from_file(module_path): if module_path is None: return None class_name = get_root_name(module_path).split(".")[0] module_file_spec = importlib.util.spec_from_file_location(class_name, module_path,) module = importlib.util.module_from_spec(module_file_spec) module_file_spec.loader.exec_module(module) return module def setup_logger(): logging.basicConfig( level=logging.DEBUG, format="%(asctime)s prognosais %(levelname)-1s %(message)s", datefmt="%Y-%m-%d %H:%M:%S", stream=sys.stdout, )

27.922619

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687

4,691

4.582242

0.245997

0.055909

0.063532

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0.269377

0.181385

0.148348

0.106099

0.08831

0

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0.182903

4,691

167

96

28.08982

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0

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0.219048

false

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0.07619

0.52381

0

null

0

null

0

1

0

1

0

2

3c940b5aac25806702b3d23e26467910178789cb

17,717

py

Python

google-cloud-sdk/lib/third_party/cloud_ml_engine_sdk/dataflow/_ml_functions.py

bopopescu/searchparty

afdc2805cb1b77bd5ac9fdd1a76217f4841f0ea6

[ "Apache-2.0" ]

null

google-cloud-sdk/lib/third_party/cloud_ml_engine_sdk/dataflow/_ml_functions.py

bopopescu/searchparty

afdc2805cb1b77bd5ac9fdd1a76217f4841f0ea6

[ "Apache-2.0" ]

null

google-cloud-sdk/lib/third_party/cloud_ml_engine_sdk/dataflow/_ml_functions.py

bopopescu/searchparty

afdc2805cb1b77bd5ac9fdd1a76217f4841f0ea6

[ "Apache-2.0" ]

3

2017-07-27T18:44:13.000Z

2020-07-25T17:48:53.000Z

# Copyright 2016 Google Inc. 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. """Private Cloud ML dataflow transforms and functions. """ import datetime import logging import os import subprocess import time import apache_beam as beam from google.cloud.ml.io.coders import TrainingJobResult from google.cloud.ml.util import _file as ml_file from google.cloud.ml.util._api import ApiBeta class TrainingJobDo(beam.DoFn): """A DoFn that submits a training job and waits for it to finish. The input PCollection should be a PCollection of TrainingJobRequest. """ def __init__(self, api_class=ApiBeta, sleep_func=time.sleep): """Construct a DoFn to train a model. Args: api_class: (Optional intended for testing only) A subclass of ApiBase that acts a client library for the Cloud ML Apis. sleep_func: (Optional intended for testing only) A function to call to wait some amount of time. """ self._api = None # Handle to the function to use to sleep between calls. # Makes it easy to inject a mock during testing self._sleep_func = sleep_func # This bit of indirection is intended to make it easy to inject a mock Api # during testing. self._api_class = api_class # TODO(user): Remove the try catch after sdk update def process(self, train_spec): try: train_spec = train_spec.element except AttributeError: pass logging.info('Setting endpoint to %s', train_spec.endpoint) self._api = self._api_class(project_id=train_spec.project, endpoint=train_spec.endpoint) # Check if the job already exists. training_job = self._api.get_job(train_spec.job_name) if not training_job: print 'Submitting training job', train_spec.job_name logging.info('Submitting training job %s.', train_spec.job_name) training_job = self._api.submit_training_job( name=train_spec.job_name, package_uris=train_spec.package_uris, python_module=train_spec.python_module, args=train_spec.job_args, hyperparameters=train_spec.hyperparameters, region=train_spec.region, scale_tier=train_spec.scale_tier, master_type=train_spec.master_type, worker_type=train_spec.worker_type, ps_type=train_spec.ps_type, worker_count=train_spec.worker_count, ps_count=train_spec.ps_count, runtime_version=train_spec.runtime_version) else: logging.info('The training job %s already exists.', train_spec.job_name) timeout = train_spec.timeout if 'createTime' in training_job: # Adjust our timeout based on when the job was actually created, # in case dataflow is retrying this operation. # createTime is formatted like 2016-10-05T17:27:53Z start_time = datetime.datetime.strptime(training_job['createTime'], '%Y-%m-%dT%H:%M:%SZ') already_ran = datetime.datetime.now() - start_time timeout -= already_ran if timeout.total_seconds() < 0: # Don't allow a negative timeout. We'll always check the job status # at least once before timing out. timeout = datetime.timedelta(seconds=0) logging.info('Waiting for Cloud ML training job: %s', training_job) # Print as well, so that users can see the job id during local runs. print 'Waiting for Cloud ML training job:', training_job final_job = self._api.wait_for_job( train_spec.job_name, timeout=timeout, polling_interval=train_spec.polling_interval) result = TrainingJobResult() result.training_request = train_spec result.training_job_metadata = final_job result.training_job_result = final_job.get('trainingOutput', None) result.error = final_job.get('errorMessage', None) if final_job.get('state', None) not in [ 'SUCCEEDED', 'FAILED', 'CANCELLED', 'CANCELLING' ]: msg = ('The training job {0} did not complete in the time ' 'allotted.').format(training_job) logging.error(msg) # Cancel the job ourselves and raise this as an error. self._api.cancel_job(train_spec.job_name) raise RuntimeError(msg) else: # The job completed. So now we need to check whether it completed # successfully or with an error. if final_job.get('errorMessage', None) is not None: # The job finished with an error. msg = 'The training job {0} finished with {1} error: {1}.'.format( training_job, final_job['errorMessage']) logging.error(msg) raise RuntimeError(msg) return [result] class _TrainingJobLocalDo(beam.DoFn): """A DoFn that runs training locally. The input PCollection should be a PCollection of TrainingJobRequest. Training runs locally by running TensorFlow in a container as opposed to firing off a CloudML job. The input PCollection should be a PCollection of TrainingJobRequest. The value of trainer_uri should be the docker image to use. This requires docker is installed locally. As a result, it will not work when running on the Dataflow service. """ # TODO(user): Remove the try catch after sdk update def process(self, train_spec): try: train_spec = train_spec.element except AttributeError: pass args = train_spec.job_args or [] if not train_spec.python_module: raise ValueError('python_module must be provided.') command = ['python', '-m', train_spec.python_module] command.extend(args) logging.info('Running command: %s', ' '.join(command)) subprocess.check_call(command) # TODO(user): Is there other data we should be outputting? result = TrainingJobResult() result.training_request = train_spec return [result] class PredictionJobRequest(object): """This class contains the parameters for running a batch prediction job. """ def __init__(self, project_id=None, job_name=None, input_uri=None, output_uri=None, region=None, data_format='TEXT', timeout=datetime.timedelta(hours=1), polling_interval=datetime.timedelta(seconds=30), endpoint=None, runtime_version=None): """Construct an instance of PredictionJobRequest. Args: project_id: The id of the project, used as credentials for the API job_name: A job name. This must be unique within the project. input_uri: A URI to input files to do prediction on. output_uri: The output directory where the results of the job will be written region: Cloud region in which to run the request. data_format: The data format for the prediction api call. Either TEXT or TF_RECORD. timeout: A datetime.timedelta expressing the amount of time to wait before giving up. The timeout applies to a single invocation of the process method in TrainModelDo. A DoFn can be retried several times before a pipeline fails. polling_interval: A datetime.timedelta to represent the amount of time to wait between requests polling for the files. endpoint: (Optional) The endpoint for the Cloud ML API. runtime_version: (Optional) the Google Cloud ML runtime version to use. """ # Parent, model_name, and version_id get set by _AugmentPredictArgsDo self.parent = None self.model_name = None self.version_id = None self.project_id = project_id self.job_name = job_name self.input_uri = input_uri self.output_uri = output_uri self.region = region self.data_format = data_format self.endpoint = endpoint self.timeout = timeout self.polling_interval = polling_interval self.runtime_version = runtime_version @property def project(self): return self.parent def copy(self): """Return a copy of the object.""" r = PredictionJobRequest() r.__dict__.update(self.__dict__) return r def __eq__(self, o): for f in ['parent', 'model_name', 'version_id', 'project_id', 'job_name', 'input_uri', 'output_uri', 'region', 'data_format', 'timeout', 'polling_interval', 'endpoint', 'runtime_version']: if getattr(self, f) != getattr(o, f): return False return True def __ne__(self, o): return not self == o def __repr__(self): fields = [] for k, v in self.__dict__.iteritems(): fields.append('{0}={1}'.format(k, v)) return 'PredictionJobRequest({0})'.format(', '.join(fields)) class _AugmentPredictArgsDo(beam.DoFn): # TODO(user): Remove the try catch after sdk update def process(self, element, deployed_model): try: predict_request = element.element.copy() except AttributeError: predict_request = element.copy() if len(deployed_model) > 1: msg = ('The ml Predict PTransform was called with multiple models. Only 1' ' deployed model is currently supported per Predict call.') logging.error(msg) raise RuntimeError(msg) (predict_request.model_name, predict_request.version_id) = deployed_model[0] parent = '/projects/%s/models/%s/' % (predict_request.project_id, predict_request.model_name) if predict_request.version_id: parent = os.path.join(parent, 'versions', predict_request.version_id) predict_request.parent = parent logging.info('model dir: %s', parent) return [predict_request] class PredictionJobResult(object): """Result of running batch prediction on a model.""" def __init__(self): # A copy of the prediction request that created the job. self.prediction_request = None # At most one of error and prediction_job_result will be specified. # These fields will only be supplied if the job completed. # prediction_job_result will be provided if the job completed successfully # and error will be supplied otherwise. self.error = None self.prediction_job_result = None def __eq__(self, o): for f in ['prediction_request', 'error', 'prediction_job_result']: if getattr(self, f) != getattr(o, f): return False return True def __ne__(self, o): return not self == o def __repr__(self): fields = [] for k, v in self.__dict__.iteritems(): fields.append('{0}={1}'.format(k, v)) return 'PredictionJobResult({0})'.format(', '.join(fields)) class BatchPredictionJobDo(beam.DoFn): """A DoFn that submits a batch predition job and waits for it to finish. The input PCollection should be a PCollection of PredictionJobRequest. """ def __init__(self, api_class=ApiBeta, sleep_func=time.sleep): """Construct a DoFn and submit to the APIl. Args: api_class: (Optional intended for testing only) A subclass of ApiBase that acts a client library for the Cloud ML Apis. sleep_func: (Optional intended for testing only) A function to call to wait some amount of time. """ self._api = None # Handle to the function to use to sleep between calls. # Makes it easy to inject a mock during testing self._sleep_func = sleep_func # This bit of indirection is intended to make it easy to inject a mock Api # during testing. self._api_class = api_class # TODO(user): Remove the try catch after sdk update def process(self, prediction_spec, input_files=None): try: prediction_spec = prediction_spec.element except AttributeError: pass print 'Job Name:', prediction_spec.job_name print 'Input files:', prediction_spec.input_uri print 'Output Files:', prediction_spec.output_uri self._api = self._api_class(project_id=prediction_spec.project_id, endpoint=prediction_spec.endpoint) logging.info('Running Job %s', prediction_spec.job_name) logging.info('Input files %s', prediction_spec.input_uri) logging.info('Output Files %s', prediction_spec.output_uri) # Check if the job already exists. prediction_job = self._api.get_job(prediction_spec.job_name) if not prediction_job: prediction_job = self._api.submit_batch_prediction_job( name=prediction_spec.job_name, input_paths=prediction_spec.input_uri, output_path=prediction_spec.output_uri, model_name=prediction_spec.model_name, version_name=prediction_spec.version_id, data_format=prediction_spec.data_format, region=prediction_spec.region, runtime_version=prediction_spec.runtime_version) else: logging.info('The prediction job %s already exists.', prediction_spec.job_name) logging.info('Waiting for Cloud ML prediction job: %s', prediction_job) final_job = self._api.wait_for_job( prediction_spec.job_name, timeout=prediction_spec.timeout, polling_interval=prediction_spec.polling_interval) result = PredictionJobResult() result.prediction_request = prediction_spec result.prediction_job_result = final_job.get('response', None) result.error = final_job.get('errorMessage', None) if final_job.get('state', None) not in [ 'SUCCEEDED', 'FAILED', 'CANCELLED', 'CANCELLING' ]: msg = ('The batch prediction job {0} did not complete in the time ' 'allotted.').format(prediction_job) logging.error(msg) # Cancel the job ourselves and raise this as an error. self._api.cancel_job(prediction_spec.job_name) raise RuntimeError(msg) else: # The job completed. So now we need to check whether it completed # successfully or with an error. if final_job.get('errorMessage', None) is not None: # The job finished with an error. msg = ('The batch prediction job {0} finished with {1}' ' error: {1}.'.format(prediction_job, final_job['errorMessage'])) logging.error(msg) raise RuntimeError(msg) print 'Batch Prediction Job Completed succesfully' logging.info('Batch Prediction Job Completed succesfully') return [result] def stage_packages(packages, staging_location): """Stage packages to GCS. Args: packages: List of local paths to stage to GCS. staging_location: Location on GCS where packages should be staged. Returns: gcs_uris: A, possibly empty, list of gcs uris to which the packages were staged. Raises: ValueError: If the inputs are invalid. """ if not packages: return [] staged_pip_packages = [] staging_location = staging_location.rstrip('/') # We only allow files which are likely to be pip packages. valid_suffixes = ['.tar', '.tar.gz', '.zip'] for package_path in packages: if package_path.startswith('gs://'): logging.info('Package %s is already on GCS', package_path) staged_pip_packages.append(package_path) continue # only allow packages that are likely to be pip packages based on the # file extension. if not any(package_path.endswith(s) for s in valid_suffixes): logging.info('Skipping package %s because its not of type %s', package_path, valid_suffixes) continue rpath = package_path.rstrip('/') # We use full relative path of the local file because we want to allow # for the case where we have to local files with the same name in # different directories. gcs_location = staging_location + '/' + rpath logging.info('Staging %s to %s', package_path, gcs_location) ml_file.copy_file(package_path, gcs_location) staged_pip_packages.append(gcs_location) return staged_pip_packages class _WrapCallable(beam.PTransform): """Wraps a callable as a PTransform.""" def __init__(self, fn, *args): super(_WrapCallable, self).__init__() self.fn = fn self.args = args # TODO(b/33677990): Remove apply method. def apply(self, input_var): return self.expand(input_var) def expand(self, input_var): return self.fn(input_var, *self.args) # Because of b/29179299 AugmentTrainArgsDo is its own DoFn as opposed to # function that we pass to a MapFn. class _AugmentTrainArgsDo(beam.DoFn): def __init__(self, spec): self.tf_main_spec = spec # TODO(user): Remove the try catch after sdk update def process(self, element, train_files, test_files, output_dir, metadata_path): try: train_request = element.element.copy() except AttributeError: train_request = element.copy() # Force the train/test files into a list, to ensure they are extracted # from their Emulated Iterator. files = [] files.extend(train_files) files = [] files.extend(test_files) train_request.job_args = train_request.job_args or [] train_request.job_args += self.tf_main_spec.construct_io_args(train_files, test_files, output_dir, metadata_path) return [train_request]

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0.682226

2,380

17,717

4.89958

0.184034

0.027013

0.013206

0.009605

0.372953

0.321928

0.278964

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0.223566

0

0.004432

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0

null

0

null

0

1

0

1

0

2

3c96d4c7c7b5453ce3a300d45611e15014682272

522

py

Python

tests/test_utils.py

narnikgamarnikus/django-referrals

1c4b3f49cd41facd7e0a1e8fbba04c07bdb95294

[ "MIT" ]

2

2021-07-28T12:19:33.000Z

2022-01-05T23:57:10.000Z

tests/test_utils.py

narnikgamarnikus/django-referrals

1c4b3f49cd41facd7e0a1e8fbba04c07bdb95294

[ "MIT" ]

5

2020-05-01T14:40:18.000Z

2021-12-15T04:17:30.000Z

tests/test_utils.py

narnikgamarnikus/django-referrals

1c4b3f49cd41facd7e0a1e8fbba04c07bdb95294

[ "MIT" ]

4

2020-03-16T15:20:51.000Z

2022-01-23T12:55:14.000Z

from test_plus.test import TestCase from referrals import utils from uuid import uuid4 class TestValidateUUID4(TestCase): def setUp(self): self.valid_uuid = str(uuid4()) self.invalid_uuid = 'FAKE_STRING' def test_with_valid_uuid4(self): self.assertTrue(utils.validate_uuid4(self.valid_uuid)) def test_with_invalid_uuid4(self): self.assertFalse(utils.validate_uuid4(self.invalid_uuid)) def test_without_uuid4(self): self.assertFalse(utils.validate_uuid4(''))

23.727273

65

0.726054

68

522

5.323529

0.352941

0.149171

0.107735

0.110497

0.232044

0

0.021077

0.181992

522

21

66

24.857143

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0

0.021073

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false

0

0.230769

0

0.615385

0

null

0

null

0

1

0

1

0

2

b1fb4363fe864d6dc0da35ff80e2e41841113c20

3,870

py

Python

Pjono/Signal/signal.py

Xp-op/Pjono

4db6c8626ec0ade0d46629597972ab07556e7b00

[ "MIT" ]

7

2021-06-02T21:46:30.000Z

2021-12-19T07:11:45.000Z

Pjono/Signal/signal.py

filipporomani/Pjono

4db6c8626ec0ade0d46629597972ab07556e7b00

[ "MIT" ]

1

2021-06-02T17:18:50.000Z

2021-06-03T10:19:36.000Z

Pjono/Signal/signal.py

filipporomani/Pjono

4db6c8626ec0ade0d46629597972ab07556e7b00

[ "MIT" ]

1

2021-07-17T07:56:16.000Z

from Pjono.Response import Http_File from Pjono.Server import PjonoApp import os __location__ = os.path.realpath(os.path.join(os.getcwd(), os.path.dirname(__file__))) def _get_path(path: set): return os.path.join(__location__, path) class ClientEvent: """ Class for adding and getting event ```py app = PjonoApp() client = ClientEvent(app) ``` """ def __init__(self, server: PjonoApp): self.app = server self.app.add_file("/Pjono/signal.js", Http_File(_get_path("signal.js"), "application/javascript")) self.events = {} def addEvent(self, name: str): """ decorator function for adding new event or overwriting existed event ```py @client.addEvent("yell") def yell(msg): return msg.upper()+"!!!" @app.register("/") def index(request): signal, event = client.getEvent(request) if signal and event == "yell": return signal return HTML("index.html") ``` to fire the event, we used signal.js: ```html <!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <meta http-equiv="X-UA-Compatible" content="IE=edge"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>index</title> <script src="/Pjono/signal.js"></script> </head> <body> <div id="root"> <input name="msg" type="text" id="inp-1"><br><br> <button onclick="yell()">yell</button> </div> <script> const Signal = new PjSignal(); function yell(){ Signal.fireEvent("yell", document.getElementById("inp-1").value, function(response, status){ var ele = document.createElement("h2"); ele.textContent = response; document.getElementById("root").appendChild(ele); }); } </script> </body> ``` """ def inner(_func): self.events[name] = _func return inner def getEvent(self, request: dict): """ Getting event with message. Will return None if there's no event happen ```py @app.register("/") def index(request): signal, event = client.getEvent(request) if signal and event == "onclick": return signal return HTML("index.html") ``` """ if "PjEvent" in request["Headers"] and "Pjmsg" in request["Headers"]: event = request["Headers"]["PjEvent"] msg = request["Headers"]["Pjmsg"] if event in self.events: return self.events[event](msg), event return None, None class SignalCode: """ SignalCode Telling the server about current event status. ### Example: ```py @client.addEvent("user_id") def get_user_id(id): if id in user: return user[id]["name"] return SignalCode("Not Found", 404) @app.register("/") def index(request): signal, event = client.getEvent(request) if signal and event == "user_id": if signal == 404: return "User Not Found" return signal return HTML("html/index.html") ``` """ def __init__(self, name: str, code: int): self.code = code self.name = name def __repr__(self) -> str: return f"<{self.name}:{self.code}>" def __eq__(self, o: int) -> bool: return self.code == o

31.721311

109

0.506202

402

3,870

4.771144

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0.021898

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0.148071

0.115746

0

0.004884

0.365116

3,870

122

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31.721311

0.775743

0.509044

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false

0

0.1

0.633333

0

null

0

null

0

1

0

1

0

2

5901f60ebbe05967f5545f30d19613948f0dcb43

233

py

Python

Standard Library/logging/1. Real Python/06_basic_config.py

shubhamnag14/Python-Documents

d3fee0ad90232b413f6ac1b562588fb255b79e42

[ "Apache-2.0" ]

2

2020-11-27T13:21:05.000Z

2021-04-19T21:14:21.000Z

Standard Library/logging/1. Real Python/06_basic_config.py

shubhamnag14/Python-Documents

d3fee0ad90232b413f6ac1b562588fb255b79e42

[ "Apache-2.0" ]

null

Standard Library/logging/1. Real Python/06_basic_config.py

shubhamnag14/Python-Documents

d3fee0ad90232b413f6ac1b562588fb255b79e42

[ "Apache-2.0" ]

1

2021-06-27T20:31:42.000Z

import logging import logging.config logging.config.fileConfig(fname='file.conf', disable_existing_loggers=False) # Get the logger specified in the file logger = logging.getLogger(__name__) logger.debug('This is a debug message')

23.3

76

0.802575

33

233

5.484848

0.69697

0.143646

0

0.107296

233

9

77

25.888889

0.870192

0.154506

0

0.164103

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1

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false

0

0.4

0

0.4

0

null

0

1

0

null

0

1

0

2

5903a1f3d5a34b8ea276642d7839289f9485fc91

315

py

Python

src/DNASignText.py

Toonerz/libdna

9729a4cee7a43f869353b6ecc84ec02f071a6f30

[ "MIT" ]

1

2021-02-23T12:05:39.000Z

src/DNASignText.py

Toonerz/libdna

9729a4cee7a43f869353b6ecc84ec02f071a6f30

[ "MIT" ]

null

src/DNASignText.py

Toonerz/libdna

9729a4cee7a43f869353b6ecc84ec02f071a6f30

[ "MIT" ]

null

from pandac.PandaModules import * from panda3d.core import * from DNASignGraphic import DNASignGraphic class DNASignText(DNASignGraphic): def __init__(self): DNASignGraphic.__init__(self) self.letters = '' def setLetters(self, letters): self.letters = letters def getLetters(self): return self.letters

22.5

41

0.777778

36

315

6.583333

0.444444

0.185654

0

0.003676

0.136508

315

14

42

22.5

0.867647

0

1

0.272727

false

0

0.272727

0.090909

0.727273

0

null

0

null

0

1

0

1

0

2

5910bd31955fb8d5ba7ebe7d4e588d6a90229782

562

py

Python

src/librekpi/utils.py

LibreKPI/librekpi

07bfbf18ff9f99a4b3347060b25699cb09f6f6b6

[ "MIT" ]

null

src/librekpi/utils.py

LibreKPI/librekpi

07bfbf18ff9f99a4b3347060b25699cb09f6f6b6

[ "MIT" ]

10

2015-01-12T20:49:21.000Z

2015-03-12T17:20:18.000Z

src/librekpi/utils.py

LibreKPI/librekpi

07bfbf18ff9f99a4b3347060b25699cb09f6f6b6

[ "MIT" ]

1

2015-01-11T23:54:09.000Z

"""Flask-like routes for Tornado Taken from https://github.com/quadloops/loopchat/blob/master/utils.py """ import tornado.web class routes(object): _routes = [] def __init__(self, uri, name=None): self._uri = uri self.name = name def __call__(self, _handler): """gets called when we class decorate""" name = self.name or _handler.__name__ self._routes.append(tornado.web.url(self._uri, _handler, name=name)) return _handler @classmethod def get_routes(self): return self._routes

22.48

76

0.651246

72

562

4.777778

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0.061047

0

0.234875

562

24

77

23.416667

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0.240214

0

1

0.230769

false

0

0.076923

0.615385

0

null

0

null

0

1

0

1

0

2

5914b0c92c8fd681f7b5539beccbf3cfc88f8648

879

py

Python

pxsshUtil.py

yun-percy/OpenSSHClient

d24381e4e6cb4d4c78d650d6e07d71d7b16dcfb0

[ "Apache-2.0" ]

null

pxsshUtil.py

yun-percy/OpenSSHClient

d24381e4e6cb4d4c78d650d6e07d71d7b16dcfb0

[ "Apache-2.0" ]

null

pxsshUtil.py

yun-percy/OpenSSHClient

d24381e4e6cb4d4c78d650d6e07d71d7b16dcfb0

[ "Apache-2.0" ]

null

#!/usr/bin/env python # coding=utf-8 from pexpect import pxssh import getpass def pxssh_cmd(addr,port,passwd,cmd): try: # 调用构造函数，创建一个 pxssh 类的对象: s = pxssh.pxssh() # 获得用户指定 ssh 主机域名. # print addr.split() hostname = addr.split('@')[-1] # 获得用户指定 ssh 主机用户名. username = addr.split('@')[0] # 获得用户指定 ssh 主机密码. # password = getpass.getpass('password: ') # 利用 pxssh 类的 login 方法进行 ssh 登录，原始 prompt 为'$' , '#'或'>' s.login (hostname, username, passwd, original_prompt='[$#>]') # 发送命令 ' ls -l ' s.sendline (cmd ) # 匹配 prompt s.prompt() # 将 prompt 前所有内容打印出，即命令 ' ls -l ' 的执行结果. ret=s.before # 退出 ssh session s.logout() return ret except pxssh.ExceptionPxssh, e: print "pxssh failed on login." return str(e)

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5914e4aaae3b77fcd11b51dc646c1566a7b5b152

196

py

Python

demo_app/demo/settings/__init__.py

A-tiantian/xadmin_bugfix

025cdf38245fcaf234ebcf785976b50919ba641c

[ "BSD-3-Clause" ]

120

2018-04-19T12:03:17.000Z

2021-11-18T10:29:54.000Z

demo_app/demo/settings/__init__.py

A-tiantian/xadmin_bugfix

025cdf38245fcaf234ebcf785976b50919ba641c

[ "BSD-3-Clause" ]

9

2018-12-10T14:52:16.000Z

2021-11-24T14:07:06.000Z

demo_app/demo/settings/__init__.py

A-tiantian/xadmin_bugfix

025cdf38245fcaf234ebcf785976b50919ba641c

[ "BSD-3-Clause" ]

68

2018-05-28T09:46:47.000Z

2022-02-23T14:39:25.000Z

from .base import * DEBUG = True if DEBUG is True: from .dev import * else: from .production import * # 站点名称 SITE_NAME = 'manage' # 后台首页 SITE_PAGE = '/%s/service/article/' % SITE_NAME

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