xszheng2020/the_stack_dedup_python_hits_5 · Datasets at Hugging Face

50678d52ee9dd55cfdf0952bdcb40a21409e0aec

57

py

Python

farabio/core/__init__.py

tuttelikz/farabi

5b65cdf39ceecbd69ae759d030b132ee74661b48

[ "Apache-2.0" ]

53

2021-04-06T17:57:12.000Z

2022-03-07T17:45:45.000Z

farabio/core/__init__.py

tuttelikz/farabi

5b65cdf39ceecbd69ae759d030b132ee74661b48

[ "Apache-2.0" ]

1

2022-03-07T19:48:44.000Z

2022-03-07T19:49:47.000Z

farabio/core/__init__.py

tuttelikz/farabi

5b65cdf39ceecbd69ae759d030b132ee74661b48

[ "Apache-2.0" ]

2

2021-12-06T14:42:44.000Z

2021-12-07T11:33:14.000Z

from .basetrainer import * from .convnettrainer import *

19

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0.140351

57

2

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null

0

1

0

1

0

1

0

5

5076516b6d1bd4ebe53f85e4233e00f0c32c88d2

52

py

Python

cachy/__init__.py

the-dan/cachy

7e6620a1af4d82c4d3caae6acab998f725d0d9e5

[ "MIT" ]

null

cachy/__init__.py

the-dan/cachy

7e6620a1af4d82c4d3caae6acab998f725d0d9e5

[ "MIT" ]

null

cachy/__init__.py

the-dan/cachy

7e6620a1af4d82c4d3caae6acab998f725d0d9e5

[ "MIT" ]

null

from .data import * from .http import flappy_network

26

32

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52

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0.134615

52

2

32

26

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null

0

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0

null

0

1

0

1

0

1

0

5

508d41267cfc3c61be1e84437e4b2f2b96665225

400

py

Python

tests/rectangle_into_squares_test.py

eliflores/coding-katas-python

db978c221d849483a4047e80dc843848fe38f05c

[ "MIT" ]

null

tests/rectangle_into_squares_test.py

eliflores/coding-katas-python

db978c221d849483a4047e80dc843848fe38f05c

[ "MIT" ]

3

2022-03-24T20:30:30.000Z

2022-03-24T22:00:33.000Z

tests/rectangle_into_squares_test.py

eliflores/coding-katas-python

db978c221d849483a4047e80dc843848fe38f05c

[ "MIT" ]

null

from katas.rectangle_into_squares import squares_in_rectangle def test_square_in_rectangles_when_length_and_width_are_equal(): assert squares_in_rectangle(5, 5) is None def test_square_in_rectangles(): assert squares_in_rectangle(5, 3) == [3, 2, 1, 1] assert squares_in_rectangle(20, 14) == [14, 6, 6, 2, 2, 2] assert squares_in_rectangle(37, 14) == [14, 14, 9, 5, 4, 1, 1, 1, 1]

33.333333

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400

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0.169811

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0.10119

0.16

400

11

73

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null

0

1

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1

0

5

509e3c9f822d9807eaa510e363d89b315c4b4e2b

6,402

py

Python

unit_tests/view_modify_land_charge/test_edit_charge_date.py

LandRegistry/maintain-frontend

d92446a9972ebbcd9a43a7a7444a528aa2f30bf7

[ "MIT" ]

1

2019-10-03T13:58:29.000Z

unit_tests/view_modify_land_charge/test_edit_charge_date.py

LandRegistry/maintain-frontend

d92446a9972ebbcd9a43a7a7444a528aa2f30bf7

[ "MIT" ]

null

unit_tests/view_modify_land_charge/test_edit_charge_date.py

LandRegistry/maintain-frontend

d92446a9972ebbcd9a43a7a7444a528aa2f30bf7

[ "MIT" ]

1

2021-04-11T05:24:57.000Z

from maintain_frontend import main from flask import url_for from flask_testing import TestCase from unit_tests.utilities import Utilities from unittest.mock import patch from maintain_frontend.dependencies.session_api.session import Session from maintain_frontend.models import LocalLandChargeItem from maintain_frontend.constants.permissions import Permissions from datetime import date HTML = 'charge_date.html' NO_VALIDATION_ERRORS = [] VALIDATION_ERRORS = {'date': ['some error message']} CHARGE_DAY = 'some charge day' CHARGE_MONTH = 'some charge month' CHARGE_YEAR = 'some charge year' class TestEditChargeCreationDate(TestCase): def create_app(self): Utilities.mock_session_cookie_flask_test(self) return main.app def test_get(self): """should respond with a 200 and render the expected template""" self.mock_session.return_value.add_charge_state = LocalLandChargeItem() self.client.set_cookie('localhost', Session.session_cookie_name, 'cookie_value') self.mock_session.return_value.user.permissions = [Permissions.vary_llc] response = self.client.get(url_for('modify_land_charge.get_charge_date')) self.status = self.assert_status(response, 200) self.assert_template_used(HTML) def test_get_with_date(self): """should respond with a 200 and render the expected template""" charge = LocalLandChargeItem() charge.charge_creation_date = date(2011, 1, 1) self.mock_session.return_value.add_charge_state = charge self.client.set_cookie('localhost', Session.session_cookie_name, 'cookie_value') self.mock_session.return_value.user.permissions = [Permissions.vary_llc] response = self.client.get(url_for('modify_land_charge.get_charge_date')) self.status = self.assert_status(response, 200) self.assert_template_used(HTML) def test_get_redirects_to_error_when_state_is_none(self): self.client.set_cookie('localhost', Session.session_cookie_name, 'cookie_value') self.mock_session.return_value.user.permissions = [Permissions.vary_llc] self.mock_session.return_value.add_charge_state = None response = self.client.get(url_for('modify_land_charge.get_charge_date')) self.assert_status(response, 302) self.assertRedirects(response, '/error') @patch('maintain_frontend.view_modify_land_charge.edit_charge_date.ChargeDateValidator') def test_post_with_no_validation_errors(self, mock_validator): """should respond with a 302 and redirect to the add_land_charge_date page""" self.client.set_cookie('localhost', Session.session_cookie_name, 'cookie_value') self.mock_session.return_value.user.permissions = [Permissions.vary_llc] charge = LocalLandChargeItem() charge.local_land_charge = 1 self.mock_session.return_value.add_charge_state = charge self.mock_session.return_value.edited_fields = [] mock_validator.validate.return_value.errors = NO_VALIDATION_ERRORS response = self.client.post(url_for('modify_land_charge.post_charge_date'), data={ "date-day": "01", "date-month": "01", "date-year": "2001" }) self.assertTrue('charge_creation_date' in self.mock_session.return_value.edited_fields) self.assertStatus(response, 302) self.assertRedirects(response, url_for('modify_land_charge.modify_land_charge', local_land_charge="LLC-1")) @patch('maintain_frontend.view_modify_land_charge.edit_charge_date.ChargeDateValidator') def test_post_with_no_validation_errors_empty_date(self, mock_validator): """should respond with a 302 and redirect to the add_land_charge_date page""" self.client.set_cookie('localhost', Session.session_cookie_name, 'cookie_value') self.mock_session.return_value.user.permissions = [Permissions.vary_llc] charge = LocalLandChargeItem() charge.local_land_charge = 1 charge_date = { 'day': "01", 'month': "12", 'year': "2016" } charge.charge_creation_date = charge_date self.mock_session.return_value.add_charge_state = charge self.mock_session.return_value.edited_fields = [] mock_validator.validate.return_value.errors = NO_VALIDATION_ERRORS response = self.client.post(url_for('modify_land_charge.post_charge_date'), data={ "date-day": "", "date-month": "", "date-year": "" }) self.assertTrue('charge_creation_date' in self.mock_session.return_value.edited_fields) self.assertStatus(response, 302) self.assertRedirects(response, url_for('modify_land_charge.modify_land_charge', local_land_charge="LLC-1")) @patch('maintain_frontend.view_modify_land_charge.edit_charge_date.ChargeDateValidator') def test_post_with_validation_errors(self, mock_validator): """Should respond with a 200, render the expected template, and return the expected error object.""" self.mock_session.return_value.add_charge_state = LocalLandChargeItem() self.client.set_cookie('localhost', Session.session_cookie_name, 'cookie_value') self.mock_session.return_value.user.permissions = [Permissions.vary_llc] mock_validator.validate.return_value.errors = VALIDATION_ERRORS response = self.client.post(url_for('modify_land_charge.post_charge_date'), data={ 'date-day': CHARGE_DAY, 'date-month': CHARGE_MONTH, 'date-year': CHARGE_YEAR }) mock_validator.validate.assert_called_with(CHARGE_DAY, CHARGE_MONTH, CHARGE_YEAR) self.assert_status(response, 200) self.assert_template_used(HTML) self.assert_context('validation_errors', VALIDATION_ERRORS) def test_post_redirects_to_error_when_state_is_none(self): self.client.set_cookie('localhost', Session.session_cookie_name, 'cookie_value') self.mock_session.return_value.user.permissions = [Permissions.vary_llc] self.mock_session.return_value.add_charge_state = None response = self.client.post(url_for('modify_land_charge.post_charge_date')) self.assert_status(response, 302) self.assertRedirects(response, '/error')

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0.038683

0.062169

0.087037

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6,402

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1

0.075472

false

0

0.084906

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0.179245

0

null

0

1

0

null

0

5

50b270e6a6533dd0c4f5022189c765a0280b8353

4,361

py

Python

toggle.py

lzl257/gesis_wikiwho

3c1367b108aebbedad8d55e6018b0c92dddf7a7e

[ "MIT" ]

null

toggle.py

lzl257/gesis_wikiwho

3c1367b108aebbedad8d55e6018b0c92dddf7a7e

[ "MIT" ]

null

toggle.py

lzl257/gesis_wikiwho

3c1367b108aebbedad8d55e6018b0c92dddf7a7e

[ "MIT" ]

null

# functions for hiding from IPython.display import HTML import random def hide_toggle(for_next=False, hiding_text='Toggle show/hide'): this_cell = """$('div.cell.code_cell.rendered.selected')""" next_cell = this_cell + '.next()' toggle_text = hiding_text # text shown on toggle link target_cell = this_cell # target cell to control with toggle js_hide_current = '' # bit of JS to permanently hide code in current cell (only when toggling next cell) if for_next: target_cell = next_cell toggle_text += ' next cell' js_hide_current = this_cell + '.find("div.input").hide();' js_f_name = 'code_toggle_{}'.format(str(random.randint(1,2**64))) html = """ <script> function {f_name}() {{ {cell_selector}.find('div.input').toggle(); }} {js_hide_current} </script> <a href="javascript:{f_name}()">{toggle_text}</a> """.format( f_name=js_f_name, cell_selector=target_cell, js_hide_current=js_hide_current, toggle_text=toggle_text ) return HTML(html) def hide_toggle2(for_next=False, for_next_next=False, for_next_next_next=False, hiding_text='Toggle show/hide'): this_cell = """$('div.cell.code_cell.rendered.selected')""" next_cell = this_cell + '.next()' next_next = this_cell + '.next().next()' next_next_next = this_cell + '.next().next().next()' toggle_text = hiding_text # text shown on toggle link target_cell = this_cell # target cell to control with toggle js_hide_current = '' # bit of JS to permanently hide code in current cell (only when toggling next cell) if for_next: target_cell = next_cell toggle_text += ' next cell' js_hide_current = this_cell + '.find("div.input").hide();' if for_next_next: target_cell = next_next toggle_text += ' next next cell' js_hide_current = this_cell + '.find("div.input").hide();' if for_next_next_next: target_cell = next_next_next toggle_text += ' next next next cell' js_hide_current = this_cell + '.find("div.input").hide();' js_f_name = 'code_toggle_{}'.format(str(random.randint(1,2**64))) js_f_name2 = 'code_toggle_{}'.format(str(random.randint(1,3**70))) html = """ <script> function {f_name}() {{ {cell_selector}.find('div.input').toggle(); {cell_selector}.find('div.output').toggle() }} {js_hide_current}; {f_name}() </script> """.format( f_name=js_f_name, cell_selector=target_cell, js_hide_current=js_hide_current, toggle_text=toggle_text ) return HTML(html) def hide_cell(hide_code=True): if hide_code: html = """ <script> var code_show=true; function code_toggle() { $('div.prompt').hide(); // always hide prompt if (code_show){ $('div.input').hide(); } else { $('div.input').show(); } code_show = !code_show } $( document ).ready(code_toggle); </script> """ else: html = """ <script> var code_show=false; function code_toggle() { $('div.prompt').hide(); // always hide prompt if (code_show){ $('div.input').hide(); } else { $('div.input').show(); } code_show = !code_show } $( document ).ready(code_toggle); </script> """ return display(HTML(html)) def show_all(): html = """ <script> function code_toggle() { $('div.prompt').show(); // always hide prompt $('div.input').show(); $('div.output').show(); } </script> <a href="javascript:code_toggle();">Show all the code</a> """ return display(HTML(html))

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0.733992

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4,361

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0.746374

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false

0

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null

0

1

0

1

0

null

0

5

50b3c4a69bca4b0021af805bb7a5ba37f04a48aa

14,138

py

Python

sourcecode/utils/font_set.py

JulianJuaner/VecFontTransfer

266b969878cdecc821d1d6e240e87d4caa151d84

[ "MIT" ]

7

2021-04-12T10:48:14.000Z

2021-12-26T10:17:18.000Z

sourcecode/utils/font_set.py

JulianJuaner/VecFontTransfer

266b969878cdecc821d1d6e240e87d4caa151d84

[ "MIT" ]

null

sourcecode/utils/font_set.py

JulianJuaner/VecFontTransfer

266b969878cdecc821d1d6e240e87d4caa151d84

[ "MIT" ]

null

WESTERN_CHAR = '1234567890-=！@#￥%……&*()~:"{{}}[]|\\?/<>,.;\'+abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ' CHINESE_CHAR = [ 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src/bio2bel_excape/__init__.py

bio2bel/excape

dd3cfa446dd47135e754da41d52caf700fddbe0e

[ "MIT" ]

null

src/bio2bel_excape/__init__.py

bio2bel/excape

dd3cfa446dd47135e754da41d52caf700fddbe0e

[ "MIT" ]

12

2018-09-02T16:38:56.000Z

2019-03-06T12:46:00.000Z

src/bio2bel_excape/__init__.py

bio2bel/excape

dd3cfa446dd47135e754da41d52caf700fddbe0e

[ "MIT" ]

null

# -*- coding: utf-8 -*- """Bio2BEL ExCAPE-DB.""" from bio2bel_excape.manager import Manager # noqa: F401

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py

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mar_prior/convolutional_rnn/__init__.py

Catherine0505/mar-scf-flow

aa7c3564cb9f2967c5e580a633516dba1b597f98

[ "Apache-2.0" ]

101

2020-03-05T06:47:05.000Z

2022-03-31T03:42:51.000Z

Net/LSTM/__init__.py

jarrycyx/dual-channel-low-light-video-public

9d0bd612c9563cc62742b66c14b5d8404b0fd9b3

[ "Apache-2.0" ]

12

2020-03-12T11:10:57.000Z

2022-01-14T03:58:03.000Z

Net/LSTM/__init__.py

jarrycyx/dual-channel-low-light-video-public

9d0bd612c9563cc62742b66c14b5d8404b0fd9b3

[ "Apache-2.0" ]

31

2020-06-17T22:00:13.000Z

2022-01-20T06:18:20.000Z

from .module import Conv1dRNN from .module import Conv1dLSTM from .module import Conv1dPeepholeLSTM from .module import Conv1dGRU from .module import Conv2dRNN from .module import Conv2dLSTM from .module import Conv2dPeepholeLSTM from .module import Conv2dGRU from .module import Conv3dRNN from .module import Conv3dLSTM from .module import Conv3dPeepholeLSTM from .module import Conv3dGRU from .module import Conv1dRNNCell from .module import Conv1dLSTMCell from .module import Conv1dPeepholeLSTMCell from .module import Conv1dGRUCell from .module import Conv2dRNNCell from .module import Conv2dLSTMCell from .module import Conv2dPeepholeLSTMCell from .module import Conv2dGRUCell from .module import Conv3dRNNCell from .module import Conv3dLSTMCell from .module import Conv3dPeepholeLSTMCell from .module import Conv3dGRUCell

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py

Python

torchkge/evaluation/__init__.py

MacOS/torchkge

89ed724368f3a5279c0f79c6ba1f948ed2a5696f

[ "BSD-3-Clause" ]

248

2019-04-03T10:04:43.000Z

2022-03-30T13:01:51.000Z

torchkge/evaluation/__init__.py

MacOS/torchkge

89ed724368f3a5279c0f79c6ba1f948ed2a5696f

[ "BSD-3-Clause" ]

52

2019-04-04T05:54:35.000Z

2022-03-02T17:18:15.000Z

torchkge/evaluation/__init__.py

MacOS/torchkge

89ed724368f3a5279c0f79c6ba1f948ed2a5696f

[ "BSD-3-Clause" ]

41

2019-06-05T08:08:00.000Z

2022-03-26T09:18:05.000Z

from .link_prediction import LinkPredictionEvaluator from .triplet_classification import TripletClassificationEvaluator

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50de16f898ab6ebb1ba1b1184b1df16768a80d79

14,937

py

Python

azure-mgmt-web/azure/mgmt/web/operations/global_domain_registration_operations.py

HydAu/AzureSDKForPython

5cbe34e9e0b8ea1faacc9f205633ccc0b885c0f3

[ "Apache-2.0" ]

null

azure-mgmt-web/azure/mgmt/web/operations/global_domain_registration_operations.py

HydAu/AzureSDKForPython

5cbe34e9e0b8ea1faacc9f205633ccc0b885c0f3

[ "Apache-2.0" ]

null

azure-mgmt-web/azure/mgmt/web/operations/global_domain_registration_operations.py

HydAu/AzureSDKForPython

5cbe34e9e0b8ea1faacc9f205633ccc0b885c0f3

[ "Apache-2.0" ]

null

# coding=utf-8 # -------------------------------------------------------------------------- # Copyright (c) Microsoft and contributors. 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. # # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may cause incorrect behavior and will be lost if the code is # regenerated. # -------------------------------------------------------------------------- from msrest.pipeline import ClientRawResponse from msrestazure.azure_exceptions import CloudError import uuid from .. import models class GlobalDomainRegistrationOperations(object): """GlobalDomainRegistrationOperations operations. :param client: Client for service requests. :param config: Configuration of service client. :param serializer: An object model serializer. :param deserializer: An objec model deserializer. """ def __init__(self, client, config, serializer, deserializer): self._client = client self._serialize = serializer self._deserialize = deserializer self.config = config def get_all_domains( self, custom_headers=None, raw=False, **operation_config): """ Lists all domains in a subscription :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :rtype: :class:`DomainCollection <azure.mgmt.web.models.DomainCollection>` :rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>` if raw=true """ # Construct URL url = '/subscriptions/{subscriptionId}/providers/Microsoft.DomainRegistration/domains' path_format_arguments = { 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send(request, header_parameters, **operation_config) if response.status_code not in [200]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp deserialized = None if response.status_code == 200: deserialized = self._deserialize('DomainCollection', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized def get_domain_control_center_sso_request( self, custom_headers=None, raw=False, **operation_config): """ Generates a single sign on request for domain management portal :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :rtype: :class:`DomainControlCenterSsoRequest <azure.mgmt.web.models.DomainControlCenterSsoRequest>` :rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>` if raw=true """ # Construct URL url = '/subscriptions/{subscriptionId}/providers/Microsoft.DomainRegistration/generateSsoRequest' path_format_arguments = { 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.post(url, query_parameters) response = self._client.send(request, header_parameters, **operation_config) if response.status_code not in [200]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp deserialized = None if response.status_code == 200: deserialized = self._deserialize('DomainControlCenterSsoRequest', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized def validate_domain_purchase_information( self, domain_registration_input, custom_headers=None, raw=False, **operation_config): """ Validates domain registration information :param domain_registration_input: Domain registration information :type domain_registration_input: :class:`DomainRegistrationInput <azure.mgmt.web.models.DomainRegistrationInput>` :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :rtype: object :rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>` if raw=true """ # Construct URL url = '/subscriptions/{subscriptionId}/providers/Microsoft.DomainRegistration/validateDomainRegistrationInformation' path_format_arguments = { 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct body body_content = self._serialize.body(domain_registration_input, 'DomainRegistrationInput') # Construct and send request request = self._client.post(url, query_parameters) response = self._client.send( request, header_parameters, body_content, **operation_config) if response.status_code not in [200]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp deserialized = None if response.status_code == 200: deserialized = self._deserialize('object', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized def check_domain_availability( self, name=None, custom_headers=None, raw=False, **operation_config): """ Checks if a domain is available for registration :param name: Name of the object :type name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :rtype: :class:`DomainAvailablilityCheckResult <azure.mgmt.web.models.DomainAvailablilityCheckResult>` :rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>` if raw=true """ identifier = models.NameIdentifier(name=name) # Construct URL url = '/subscriptions/{subscriptionId}/providers/Microsoft.DomainRegistration/checkDomainAvailability' path_format_arguments = { 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct body body_content = self._serialize.body(identifier, 'NameIdentifier') # Construct and send request request = self._client.post(url, query_parameters) response = self._client.send( request, header_parameters, body_content, **operation_config) if response.status_code not in [200]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp deserialized = None if response.status_code == 200: deserialized = self._deserialize('DomainAvailablilityCheckResult', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized def list_domain_recommendations( self, keywords=None, max_domain_recommendations=None, custom_headers=None, raw=False, **operation_config): """ Lists domain recommendations based on keywords :param keywords: Keywords to be used for generating domain recommendations :type keywords: str :param max_domain_recommendations: Maximum number of recommendations :type max_domain_recommendations: int :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :rtype: :class:`NameIdentifierCollection <azure.mgmt.web.models.NameIdentifierCollection>` :rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>` if raw=true """ parameters = models.DomainRecommendationSearchParameters(keywords=keywords, max_domain_recommendations=max_domain_recommendations) # Construct URL url = '/subscriptions/{subscriptionId}/providers/Microsoft.DomainRegistration/listDomainRecommendations' path_format_arguments = { 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct body body_content = self._serialize.body(parameters, 'DomainRecommendationSearchParameters') # Construct and send request request = self._client.post(url, query_parameters) response = self._client.send( request, header_parameters, body_content, **operation_config) if response.status_code not in [200]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp deserialized = None if response.status_code == 200: deserialized = self._deserialize('NameIdentifierCollection', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized

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0fca8190a8280034fcbde2422ec57bcb5e0de6b3

220

py

Python

TestImage.py

uesp/skyrimmaps-scripts

19acbec216487978d85afa67df98073bd43dcb84

[ "MIT" ]

null

TestImage.py

uesp/skyrimmaps-scripts

19acbec216487978d85afa67df98073bd43dcb84

[ "MIT" ]

null

TestImage.py

uesp/skyrimmaps-scripts

19acbec216487978d85afa67df98073bd43dcb84

[ "MIT" ]

null

import os import sys import Image import shutil ImageNW = Image.open("d:\\steam\\steamapps\\common\\skyrim\\data\\textures\\maps\\skyrim\\tamriel.61.-7.dds") ImageNW.Save("d:\\test.jpg")

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0fe555fd31bb6b2837e6e532f9f20b3cfef053fb

162

py

Python

test/stream-monitor/test/support/stream-base/two_pass/test_two_pass.py

arunrordell/RackHD

079c21f45cb38f538c502363aa1ff86dbcac3169

[ "Apache-2.0" ]

451

2015-11-09T13:19:25.000Z

2022-03-16T08:00:16.000Z

test/stream-monitor/test/support/stream-base/two_pass/test_two_pass.py

arunrordell/RackHD

079c21f45cb38f538c502363aa1ff86dbcac3169

[ "Apache-2.0" ]

824

2015-11-10T15:25:50.000Z

2018-04-09T09:59:49.000Z

test/stream-monitor/test/support/stream-base/two_pass/test_two_pass.py

arunrordell/RackHD

079c21f45cb38f538c502363aa1ff86dbcac3169

[ "Apache-2.0" ]

221

2015-11-10T23:00:46.000Z

2022-03-16T08:00:22.000Z

13.5

75

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0

1

0

null

0

1

0

5

ba0f54a32f7ec2ee8ddd70184152f9b526668ab1

9,493

py

Python

tests/unittests/cli.py

wilzbach/storyscript-sls

d71d74a53852ebae54bdaab341678b04f2775411

[ "Apache-2.0" ]

null

tests/unittests/cli.py

wilzbach/storyscript-sls

d71d74a53852ebae54bdaab341678b04f2775411

[ "Apache-2.0" ]

null

tests/unittests/cli.py

wilzbach/storyscript-sls

d71d74a53852ebae54bdaab341678b04f2775411

[ "Apache-2.0" ]

null

import json from unittest.mock import call import click from click.testing import CliRunner from pytest import fixture, mark from sls import App, Cli from sls.version import version @fixture def runner(): return CliRunner() @fixture def echo(patch): patch.object(click, "echo") return click.echo @fixture def app(patch): patch.init(App) patch.many( App, [ "click", "complete", "start_tcp_server", "start_stdio_server", "start_websocket_server", ], ) return App @mark.parametrize("option", ["version", "v"]) def test_cli_version_flag(runner, echo, option): """ Ensures --version outputs the version """ e = runner.invoke(Cli.main, option) click.echo.assert_called_with(version) assert e.exit_code == 0 def test_cli_help_flag(runner, echo): e = runner.invoke(Cli.main, ["--help"]) assert e.output.startswith("Usage: main") assert click.echo.call_count == 0 assert e.exit_code == 0 @mark.parametrize("option", ["help", "h"]) def test_cli_help_page(runner, echo, option): e = runner.invoke(Cli.main, [option]) assert click.echo.call_count == 1 assert click.echo.call_args[0][0].startswith("Usage: main") assert e.exit_code == 0 def test_cli_empty(runner, echo): e = runner.invoke(Cli.main, []) assert click.echo.call_count == 1 assert click.echo.call_args[0][0].startswith("Usage: main") assert e.exit_code == 0 def test_cli_hub_flag(runner, echo, app): """ Ensures --version outputs the version """ with runner.isolated_filesystem(): with open("my.hub", "w") as f: f.write("Hello World!") e = runner.invoke(Cli.main, ["--hub=my.hub"]) assert e.exit_code == 0 app.__init__.assert_called_with(hub_path="my.hub") def test_cli_hub_manual(patch, runner, echo, app, magic): """ Allows to manually overwrite --hub from outside calls. """ Cli.main(args=["stdio"], standalone_mode=False, obj="my.hub") app.__init__.assert_called_with(hub_path="my.hub") app.start_stdio_server.assert_called() def test_cli_tcp(runner, echo, app): """ Ensures tcp starts a server. """ e = runner.invoke(Cli.main, ["tcp"]) app.start_tcp_server.assert_called_with(addr="127.0.0.1", port=2042) assert e.exit_code == 0 def test_cli_tcp_port(runner, echo, app): """ Ensures tcp starts a server. """ e = runner.invoke(Cli.main, ["tcp", "--port=123"]) app.start_tcp_server.assert_called_with(addr="127.0.0.1", port=123) assert e.exit_code == 0 def test_cli_tcp_host(runner, echo, app): """ Ensures tcp starts a server. """ e = runner.invoke(Cli.main, ["tcp", "--host=foo"]) app.start_tcp_server.assert_called_with(addr="foo", port=2042) assert e.exit_code == 0 def test_cli_tcp_hub(runner, echo, app): """ Ensures tcp starts a server. """ with runner.isolated_filesystem(): with open("my.hub", "w") as f: f.write("Hello World!") e = runner.invoke(Cli.main, ["--hub=my.hub", "tcp"]) assert e.exit_code == 0 app.__init__.assert_called_with(hub_path="my.hub") app.start_tcp_server.assert_called_with(addr="127.0.0.1", port=2042) def test_cli_stdio(runner, echo, app): """ Ensures stdio spawns a server. """ e = runner.invoke(Cli.main, ["stdio"]) app.start_stdio_server.assert_called() assert e.exit_code == 0 def test_cli_stdio_hub(runner, echo, app): """ Ensures tcp starts a server. """ with runner.isolated_filesystem(): with open("my.hub", "w") as f: f.write("Hello World!") e = runner.invoke(Cli.main, ["--hub=my.hub", "stdio"]) assert e.exit_code == 0 app.__init__.assert_called_with(hub_path="my.hub") app.start_stdio_server.assert_called() def test_cli_websocket(runner, echo, app): """ Ensures websocket starts a server. """ e = runner.invoke(Cli.main, ["websocket"]) app.start_websocket_server.assert_called_with(addr="0.0.0.0", port=2042) assert e.exit_code == 0 def test_cli_websocket_port(runner, echo, app): """ Ensures websocket starts a server. """ e = runner.invoke(Cli.main, ["websocket", "--port=123"]) app.start_websocket_server.assert_called_with(addr="0.0.0.0", port=123) assert e.exit_code == 0 def test_cli_websocket_host(runner, echo, app): """ Ensures websocket starts a server. """ e = runner.invoke(Cli.main, ["websocket", "--host=foo"]) app.start_websocket_server.assert_called_with(addr="foo", port=2042) assert e.exit_code == 0 def test_cli_websocket_hub(runner, echo, app): """ Ensures websocket starts a server. """ with runner.isolated_filesystem(): with open("my.hub", "w") as f: f.write("Hello World!") e = runner.invoke(Cli.main, ["--hub=my.hub", "websocket"]) assert e.exit_code == 0 app.__init__.assert_called_with(hub_path="my.hub") app.start_websocket_server.assert_called_with( addr="0.0.0.0", port=2042 ) def test_cli_complete_missing(patch, runner, echo, app): """ Ensures that the completion file exists. """ e = runner.invoke(Cli.main, ["complete"]) assert click.echo.call_count == 0 assert e.exit_code == 2 def test_cli_complete_hub(patch, runner, echo, app): """ Ensures CLI completion with a custom hub works. """ with runner.isolated_filesystem(): patch.object(json, "dumps") text = "foobar" with open("my.story", "w") as f: f.write(text) with open("my.hub", "w") as f: f.write("Hello World!") e = runner.invoke(Cli.main, ["--hub=my.hub", "complete", "my.story"]) app.__init__.assert_called_with(hub_path="my.hub") app.complete.assert_called_with( "|completion|", text, line=None, column=None ) json.dumps.assert_called_with(App.complete(), indent=2, sort_keys=True) click.echo.assert_called_with(json.dumps()) assert e.exit_code == 0 @mark.parametrize( "options,expected", [ ([], {"line": None, "column": None}), (["--line", "2"], {"line": 2, "column": None}), (["-l", "2"], {"line": 2, "column": None}), (["--column", "3"], {"line": None, "column": 3}), (["-c", "3"], {"line": None, "column": 3}), (["-l", "2", "-c", "3"], {"line": 2, "column": 3}), ], ) def test_cli_complete_line_column(patch, runner, echo, app, options, expected): """ Ensures CLI completion with custom line and column works. """ with runner.isolated_filesystem(): patch.object(json, "dumps") text = "foobar" with open("my.story", "w") as f: f.write(text) e = runner.invoke(Cli.main, ["complete", "my.story", *options]) app.complete.assert_called_with("|completion|", text, **expected) json.dumps.assert_called_with(App.complete(), indent=2, sort_keys=True) click.echo.assert_called_with(json.dumps()) assert e.exit_code == 0 def test_cli_complete_short(patch, runner, echo, app): """ Ensures CLI completion with shortened output. """ app.complete.return_value = [{"label": "foo"}, {"label": "bar"}] with runner.isolated_filesystem(): text = "foobar" with open("my.story", "w") as f: f.write(text) e = runner.invoke(Cli.main, ["complete", "--short", "my.story"]) app.complete.assert_called_with( "|completion|", text, line=None, column=None ) assert echo.call_args_list == [ call(), call("foo"), call("bar"), ] assert e.exit_code == 0 @mark.parametrize( "options,expected", [ ([], {"line": None, "column": None}), (["--line", "2"], {"line": 2, "column": None}), (["-l", "2"], {"line": 2, "column": None}), (["--column", "3"], {"line": None, "column": 3}), (["-c", "3"], {"line": None, "column": 3}), (["-l", "2", "-c", "3"], {"line": 2, "column": 3}), ], ) def test_cli_click_line_column(patch, runner, echo, app, options, expected): """ Ensures CLI click with custom line and column works. """ with runner.isolated_filesystem(): patch.object(json, "dumps") text = "foobar" with open("my.story", "w") as f: f.write(text) e = runner.invoke(Cli.main, ["click", "my.story", *options]) app.click.assert_called_with("|click|", text, **expected) json.dumps.assert_called_with(App.click(), indent=2, sort_keys=True) click.echo.assert_called_with(json.dumps()) assert e.exit_code == 0 def test_cli_click_short(patch, runner, echo, app): """ Ensures CLI click with shortened output. """ app.click.return_value = [{"label": "foo"}, {"label": "bar"}] with runner.isolated_filesystem(): text = "foobar" with open("my.story", "w") as f: f.write(text) e = runner.invoke(Cli.main, ["click", "--short", "my.story"]) app.click.assert_called_with("|click|", text, line=None, column=None) assert echo.call_args_list == [ call(), call("foo"), call("bar"), ] assert e.exit_code == 0

29.758621

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0.786424

0.765269

0.721854

0.676784

0.674577

0

0.016839

0.236806

9,493

318

80

29.852201

0.733471

0.077215

0

0.543269

0

0.11553

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0

0.283654

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0.004808

0.168269

0

null

0

1

0

1

0

null

0

5

e8416a61f2b86bc72810d71126773a647eccb84d

105

py

Python

services/weblogic/__init__.py

claudijd/honeycomb_plugins

f25132812b5119259d8562117c93d1e57a74b920

[ "MIT" ]

24

2018-04-27T08:49:57.000Z

2022-03-03T15:55:19.000Z

services/weblogic/__init__.py

claudijd/honeycomb_plugins

f25132812b5119259d8562117c93d1e57a74b920

[ "MIT" ]

353

2018-04-27T12:06:37.000Z

2019-12-11T07:15:34.000Z

services/weblogic/__init__.py

claudijd/honeycomb_plugins

f25132812b5119259d8562117c93d1e57a74b920

[ "MIT" ]

12

2018-05-25T10:29:29.000Z

2022-01-24T13:35:49.000Z

# -*- coding: utf-8 -*- """Honeycomb Oracle WebLogic Service.""" from __future__ import unicode_literals

26.25

40

0.72381

12

105

5.916667

1

0

0.01087

0.12381

105

3

41

35

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0

1

0

true

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1

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1

0

null

0

1

0

1

0

1

0

5

e85b9c321a23c68ef0fb1b780ac525750b393583

88

py

Python

sim-services/python/__init__.py

hschwane/offline_production

e14a6493782f613b8bbe64217559765d5213dc1e

[ "MIT" ]

1

2020-12-24T22:00:01.000Z

sim-services/python/__init__.py

hschwane/offline_production

e14a6493782f613b8bbe64217559765d5213dc1e

[ "MIT" ]

null

sim-services/python/__init__.py

hschwane/offline_production

e14a6493782f613b8bbe64217559765d5213dc1e

[ "MIT" ]

3

2020-07-17T09:20:29.000Z

2021-03-30T16:44:18.000Z

from icecube.load_pybindings import load_pybindings load_pybindings(__name__, __path__)

29.333333

51

0.886364

11

88

6.090909

0.636364

0.626866

0

0.068182

88

2

52

44

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1

0

true

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0

1

0

null

0

1

0

1

0

5

e87f1d2c7a3017b77c3ca9af54fdf6079f945022

32

py

Python

python/testData/resolve/multiFile/importOsPath/yos/__init__.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

2

2019-04-28T07:48:50.000Z

2020-12-11T14:18:08.000Z

python/testData/resolve/multiFile/importOsPath/yos/__init__.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

173

2018-07-05T13:59:39.000Z

2018-08-09T01:12:03.000Z

python/testData/resolve/multiFile/importOsPath/yos/__init__.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

2

2020-03-15T08:57:37.000Z

2020-04-07T04:48:14.000Z

def makedir(foo): print foo

10.666667

17

0.65625

5

32

4.2

0.8

0

0.25

32

2

18

16

0.875

0

null

0

null

0.5

1

0

null

0

1

0

null

0

1

0

1

0

5

e8b04fb8b4e29e9c9239239d686c5686a6380dab

143

py

Python

NSE/__init__.py

GamesBond008/NSE-India-Scrapper

9963d1b99ee5557e61d6be329bf9f50444d2820a

[ "MIT" ]

1

2021-06-01T19:36:42.000Z

NSE/__init__.py

GamesBond008/NSE-India-Scrapper

9963d1b99ee5557e61d6be329bf9f50444d2820a

[ "MIT" ]

null

NSE/__init__.py

GamesBond008/NSE-India-Scrapper

9963d1b99ee5557e61d6be329bf9f50444d2820a

[ "MIT" ]

null

import importlib.resources,json with importlib.resources.path('NSE','ValidSymbols.json') as data_path: ValidSymbols=json.load(open(data_path))

47.666667

70

0.818182

20

143

5.75

0.6

0.313043

0

0.048951

143

3

71

47.666667

0.845588

0

0.138889

0

1

0

false

0

0.666667

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

fa120f1d587d44b6452582ab91218f1c1599d8dc

99

py

Python

enthought/block_canvas/canvas/canvas_grid.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

3

2016-12-09T06:05:18.000Z

2018-03-01T13:00:29.000Z

enthought/block_canvas/canvas/canvas_grid.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

1

2020-12-02T00:51:32.000Z

2020-12-02T08:48:55.000Z

enthought/block_canvas/canvas/canvas_grid.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

null

# proxy module from __future__ import absolute_import from blockcanvas.canvas.canvas_grid import *

24.75

44

0.848485

13

99

6

0.692308

0

0.111111

99

3

45

33

0.886364

0.121212

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

fa64459d20607c8b78aff014dfb29c365986acea

85

py

Python

headbot/settings.py

headbot/headbot-python

adc4fb389821f771b8c916490fa85efa21d035f4

[ "Apache-2.0" ]

null

headbot/settings.py

headbot/headbot-python

adc4fb389821f771b8c916490fa85efa21d035f4

[ "Apache-2.0" ]

null

headbot/settings.py

headbot/headbot-python

adc4fb389821f771b8c916490fa85efa21d035f4

[ "Apache-2.0" ]

null

import os API_ROOT_URL = os.environ.get("API_ROOT_URL", "https://headbot.io/api/")

17

72

0.717647

15

85

3.8

0.666667

0.245614

0.350877

0

0.094118

85

4

73

21.25

0.74026

0

0.411765

0

1

0

false

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

5

d73013e758a6b0d272f2d2cfa80aa76f749bee78

2,360

py

Python

google/cloud/servicemanagement_v1/types/__init__.py

LaudateCorpus1/python-service-management

ad49299424aefbaaef686c79af533058d5fa5b66

[ "Apache-2.0" ]

2

2021-10-07T02:24:31.000Z

2021-11-04T07:19:04.000Z

google/cloud/servicemanagement_v1/types/__init__.py

LaudateCorpus1/python-service-management

ad49299424aefbaaef686c79af533058d5fa5b66

[ "Apache-2.0" ]

36

2021-03-25T16:02:45.000Z

2022-03-07T16:49:58.000Z

google/cloud/servicemanagement_v1/types/__init__.py

LaudateCorpus1/python-service-management

ad49299424aefbaaef686c79af533058d5fa5b66

[ "Apache-2.0" ]

5

2021-03-26T13:18:08.000Z

2022-01-29T08:13:29.000Z

# -*- coding: utf-8 -*- # Copyright 2020 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # from .resources import ( ChangeReport, ConfigFile, ConfigRef, ConfigSource, Diagnostic, ManagedService, OperationMetadata, Rollout, ) from .servicemanager import ( CreateServiceConfigRequest, CreateServiceRequest, CreateServiceRolloutRequest, DeleteServiceRequest, DisableServiceRequest, DisableServiceResponse, EnableServiceRequest, EnableServiceResponse, GenerateConfigReportRequest, GenerateConfigReportResponse, GetServiceConfigRequest, GetServiceRequest, GetServiceRolloutRequest, ListServiceConfigsRequest, ListServiceConfigsResponse, ListServiceRolloutsRequest, ListServiceRolloutsResponse, ListServicesRequest, ListServicesResponse, SubmitConfigSourceRequest, SubmitConfigSourceResponse, UndeleteServiceRequest, UndeleteServiceResponse, ) __all__ = ( "ChangeReport", "ConfigFile", "ConfigRef", "ConfigSource", "Diagnostic", "ManagedService", "OperationMetadata", "Rollout", "CreateServiceConfigRequest", "CreateServiceRequest", "CreateServiceRolloutRequest", "DeleteServiceRequest", "DisableServiceRequest", "DisableServiceResponse", "EnableServiceRequest", "EnableServiceResponse", "GenerateConfigReportRequest", "GenerateConfigReportResponse", "GetServiceConfigRequest", "GetServiceRequest", "GetServiceRolloutRequest", "ListServiceConfigsRequest", "ListServiceConfigsResponse", "ListServiceRolloutsRequest", "ListServiceRolloutsResponse", "ListServicesRequest", "ListServicesResponse", "SubmitConfigSourceRequest", "SubmitConfigSourceResponse", "UndeleteServiceRequest", "UndeleteServiceResponse", )

27.764706

74

0.741525

162

2,360

10.777778

0.62963

0.034364

0.014891

0.018328

0.717068

0.612829

0

0.004663

0.182203

2,360

84

75

28.095238

0.9

0.241102

0

0.352676

0.236056

0

1

0

false

0

0.029412

0

0.029412

0

1

null

0

1

0

1

0

null

0

5

d737c2717558809b91510eda2245d3e43d075769

221

py

Python

NASA SPACEAPPS CHALLENGE/Solution/Software part/Astronomical Data and Python Libraries/Astropy/astropy-1.1.2/astropy/visualization/__init__.py

sahirsharma/Martian

062e9b47849512863c16713811f347ad7e121b56

[ "MIT" ]

null

NASA SPACEAPPS CHALLENGE/Solution/Software part/Astronomical Data and Python Libraries/Astropy/astropy-1.1.2/astropy/visualization/__init__.py

sahirsharma/Martian

062e9b47849512863c16713811f347ad7e121b56

[ "MIT" ]

null

NASA SPACEAPPS CHALLENGE/Solution/Software part/Astronomical Data and Python Libraries/Astropy/astropy-1.1.2/astropy/visualization/__init__.py

sahirsharma/Martian

062e9b47849512863c16713811f347ad7e121b56

[ "MIT" ]

null

# Licensed under a 3-clause BSD style license - see LICENSE.rst from .stretch import * from .interval import * from .transform import * from .ui import * from .mpl_style import * from .hist import * from .units import *

22.1

63

0.737557

33

221

4.909091

0.575758

0.37037

0

0.005525

0.180995

221

9

64

24.555556

0.889503

0.276018

0

1

0

true

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

5

d74b43515a07aa4a4874227520a2a1f3d8be0b3a

205

py

Python

venv/Lib/site-packages/neuralnetwork/Sigmoid.py

GacinhoV33/VoiceAssistant

3409cb630968dd9cd79abc5955a6e3f8df756622

[ "MIT-CMU" ]

1

2021-01-11T11:56:12.000Z

venv/Lib/site-packages/neuralnetwork/Sigmoid.py

GacinhoV33/VoiceAssistant

3409cb630968dd9cd79abc5955a6e3f8df756622

[ "MIT-CMU" ]

null

venv/Lib/site-packages/neuralnetwork/Sigmoid.py

GacinhoV33/VoiceAssistant

3409cb630968dd9cd79abc5955a6e3f8df756622

[ "MIT-CMU" ]

1

2020-03-30T16:34:34.000Z

import math class Sigmoid: def getActivation(self,net): return 1/(1+math.exp(-1 * net)) def getDerivative(self,net): return self.getActivation(net) * (1 - self.getActivation(net))

25.625

70

0.653659

27

205

4.962963

0.444444

0.104478

0.19403

0

0.024691

0.209756

205

8

70

25.625

0.802469

0

1

0.333333

false

0

0.166667

0.333333

1

0

1

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null

0

1

0

1

0

null

0

1

0

1

0

5

d74b912b79bc14049cd898fb009af55bb35ece44

30

py

Python

src/django_core/settings/__init__.py

leonardon473/simplest-docker-django-example

b290ca0783b66a4c9ad1471f38b8ad128b6e1f91

[ "MIT" ]

null

src/django_core/settings/__init__.py

leonardon473/simplest-docker-django-example

b290ca0783b66a4c9ad1471f38b8ad128b6e1f91

[ "MIT" ]

null

src/django_core/settings/__init__.py

leonardon473/simplest-docker-django-example

b290ca0783b66a4c9ad1471f38b8ad128b6e1f91

[ "MIT" ]

null

from .django import * # noqa

15

29

0.666667

4

30

5

1

0

0.233333

30

1

30

0.869565

0.133333

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

d75006bf81456c3e2b70a33490c2d271c627920a

413

py

Python

ms_deisotope/data_source/_vendor/masslynx/__init__.py

mstim/ms_deisotope

29f4f466e92e66b65a2d21eca714aa627caa21db

[ "Apache-2.0" ]

18

2017-09-01T12:26:12.000Z

2022-02-23T02:31:29.000Z

ms_deisotope/data_source/_vendor/masslynx/__init__.py

mstim/ms_deisotope

29f4f466e92e66b65a2d21eca714aa627caa21db

[ "Apache-2.0" ]

19

2017-03-12T20:40:36.000Z

2022-03-31T22:50:47.000Z

ms_deisotope/data_source/_vendor/masslynx/__init__.py

mstim/ms_deisotope

29f4f466e92e66b65a2d21eca714aa627caa21db

[ "Apache-2.0" ]

14

2016-05-06T02:25:30.000Z

2022-03-31T14:40:06.000Z

# from .libload import proxy, register_dll, _register_dll # from .loader import (MassLynxRawLoader, is_waters_raw_dir, # determine_if_available, infer_reader, # IndexEntry, Cycle) # __all__ = [ # "proxy", "register_dll", "_register_dll", # "MassLynxRawLoader", "is_waters_raw_dir", # "determine_if_available", "infer_reader", # "IndexEntry", "Cycle" # ]

34.416667

60

0.644068

41

413

5.95122

0.487805

0.180328

0.131148

0.196721

0.852459

0.631148

0

0.234867

413

12

61

34.416667

0.772152

0.946731

0

null

0

null

0

null

0

null

1

null

true

0

null

0

null

0

1

0

1

0

1

0

null

0

1

0

5

d75a22b208b4f0acf7a33f0ee8733b1104c6ab51

124

py

Python

messaging/admin.py

pabulumm/neighbors

59f3f3ae727fe52c7897beaf73d157b02cdcb7a3

[ "BSD-3-Clause" ]

null

messaging/admin.py

pabulumm/neighbors

59f3f3ae727fe52c7897beaf73d157b02cdcb7a3

[ "BSD-3-Clause" ]

null

messaging/admin.py

pabulumm/neighbors

59f3f3ae727fe52c7897beaf73d157b02cdcb7a3

[ "BSD-3-Clause" ]

null

from django.contrib import admin from .models import Message,Alert admin.site.register(Message) admin.site.register(Alert)

20.666667

33

0.822581

18

124

5.666667

0.555556

0.176471

0.333333

0

0.08871

124

5

34

24.8

0.902655

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

d761f4c5f3d9510c38b21f178c089c9b84c2758b

1,010

py

Python

src/Caitrin/writeSASCodeLOL.py

networkdynamics/PuckIt

08542c324440919960198eae4ca8855f2ac43134

[ "Apache-2.0" ]

1

2018-05-16T20:58:32.000Z

src/Caitrin/writeSASCodeLOL.py

networkdynamics/PuckIt

08542c324440919960198eae4ca8855f2ac43134

[ "Apache-2.0" ]

null

src/Caitrin/writeSASCodeLOL.py

networkdynamics/PuckIt

08542c324440919960198eae4ca8855f2ac43134

[ "Apache-2.0" ]

null

Xs = ["Year_Founded","Year_Joined_NHL","Franchise_Moved__Kind_of_invalid","Stadium_Capacity","VAR6","Number_of_Stanley_Cup_Wins","Last_Time_Won_Stanley_Cup","Number_of_Stanley_Cup_Finals_App","Most_Recent_Stanley_Cup_Finals_A","Last_Time_Made_Playoffs__Does_no","Number_of_Playoff_Appearances_ov","sum_playoff_lengths_5_years","Total_Number_of_Playoff_Appearan","Average_Secondary_Market_Ticket","Team_Net_Worth__Again__unsure_of","Team_Debt_Value","Team_Revenue__Again__unsure_of_c","Team_Operating_Income__Again__un","Same_State_Teams","Population","Median_Household_Income","Latitude"] Ys = ["Subscribers","Moderators","Number_of_Comments","Median_number_of_comments_per_us","Number_of_users","Number_of_posts","clustering","assortativity","pearson_corr_coef","clique_size","number_of_cliques","transitivity","number_weak_comp"] for x in Xs: for y in Ys: print 'proc sgplot data=WORK.IMPORT; scatter x= %s y= %s / datalabel=Team datalabelattrs=(size=10);xaxis grid;yaxis grid;run;' % (x, y)

101

588

0.820792

152

1,010

4.848684

0.651316

0.097693

0.040706

0.048847

0

0.004154

0.046535

1,010

9

589

112.222222

0.761163

0

0.2

0.822772

0.477228

0

null

0

0.2

null

0.2

0

null

0

1

0

1

0

1

null

0

1

0

5

d77740789e6229262866544bbdb94df57f189fd6

22

py

Python

discum/science/__init__.py

firewood-b/Discord-S.C.U.M

1beb8c25ab245a1389431a5206eafb9b4a95df0f

[ "MIT" ]

null

discum/science/__init__.py

firewood-b/Discord-S.C.U.M

1beb8c25ab245a1389431a5206eafb9b4a95df0f

[ "MIT" ]

null

discum/science/__init__.py

firewood-b/Discord-S.C.U.M

1beb8c25ab245a1389431a5206eafb9b4a95df0f

[ "MIT" ]

null

from .science import *

22

0.772727

3

22

5.666667

1

0

0.136364

22

1

22

0.894737

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

d788dc51593f48859a158847d4ccd533fc6c177c

21

py

Python

neslter/parsing/ctd/__init__.py

WHOIGit/nes-lter-ims

d4cc96c10da56ca33286af84d669625b67170522

[ "MIT" ]

3

2019-01-24T16:32:50.000Z

2021-11-05T02:18:12.000Z

neslter/parsing/ctd/__init__.py

WHOIGit/nes-lter-ims

d4cc96c10da56ca33286af84d669625b67170522

[ "MIT" ]

45

2019-05-23T15:15:32.000Z

2022-03-15T14:09:20.000Z

neslter/parsing/ctd/__init__.py

WHOIGit/nes-lter-ims

d4cc96c10da56ca33286af84d669625b67170522

[ "MIT" ]

null

from .api import Ctd

10.5

20

0.761905

4

21

4

1

0

0.190476

21

1

21

0.941176

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

ad541f30abcc65903bfb4338ea0e98817f2809ab

242

py

Python

openexplorer_old/exploration_campaign/__init__.py

uibcdf/PELE-OpenMM

15100f6167ea8f2b5795cc7b90d8c5e852de1f57

[ "MIT" ]

null

openexplorer_old/exploration_campaign/__init__.py

uibcdf/PELE-OpenMM

15100f6167ea8f2b5795cc7b90d8c5e852de1f57

[ "MIT" ]

null

openexplorer_old/exploration_campaign/__init__.py

uibcdf/PELE-OpenMM

15100f6167ea8f2b5795cc7b90d8c5e852de1f57

[ "MIT" ]

1

2022-02-15T22:47:28.000Z

from .montecarlo import MonteCarlo from .montecarlo_minimization import MonteCarloMinimization #from .basinhopping import BasinHopping from .quench_and_restore import QuenchAndRestore from .successive_confinement import SuccessiveConfinement

40.333333

59

0.892562

24

242

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1

0

1

0

5

ad77ffd04f0d55291232ee0e4bf9aeeb707b095e

6,056

py

Python

tests/test_contagion.py

lucasmccabe/contagion

b692f03f142e6b94e0d5a271bb689589ae891e7d

[ "MIT" ]

1

2021-05-05T20:52:12.000Z

tests/test_contagion.py

lucasmccabe/contagion

b692f03f142e6b94e0d5a271bb689589ae891e7d

[ "MIT" ]

null

tests/test_contagion.py

lucasmccabe/contagion

b692f03f142e6b94e0d5a271bb689589ae891e7d

[ "MIT" ]

null

import sys import copy import unittest import numpy as np import networkx as nx sys.path.append("..") from contagion import contagion class TestContagion(unittest.TestCase): def test_init_In(self): """ Tests initialization of Infected compartment. """ G = nx.barabasi_albert_graph(100, 5) network = contagion.ContactNetwork( G, fraction_infected = 0.5, fraction_recovered = 0.35) self.assertEqual(np.sum(network.In), 50) def test_init_Su(self): """ Tests initialization of Susceptible compartment. """ G = nx.barabasi_albert_graph(100, 5) network = contagion.ContactNetwork( G, fraction_infected = 0.5, fraction_recovered = 0.35) self.assertEqual(np.sum(network.Su), 15) def test_init_Re(self): """ Tests initialization of Recovered compartment. """ G = nx.barabasi_albert_graph(100, 5) network = contagion.ContactNetwork( G, fraction_infected = 0.5, fraction_recovered = 0.35) self.assertEqual(np.sum(network.Re), 35) def test_reset_Su_In_Re(self): """ Tests reset of compartmental histories. """ G = nx.barabasi_albert_graph(100, 5) network = contagion.ContactNetwork( G, fraction_infected = 0.5, fraction_recovered = 0.35) network.In -= network.In network.reset_Su_In_Re() self.assertEqual(np.sum(network.In), 50) def test_generate_random_walk_length(self): """ Tests the length of the generated random walk. """ G = nx.barabasi_albert_graph(100, 5) network = contagion.ContactNetwork( G, fraction_infected = 0.5, fraction_recovered = 0.35) walk = network.generate_random_walk(10) self.assertEqual(len(walk), 10) def test_generate_random_walk_degrees_length(self): """ Tests the length of the generated random degree sequence. """ G = nx.barabasi_albert_graph(100, 5) network = contagion.ContactNetwork( G, fraction_infected = 0.5, fraction_recovered = 0.35) walk = network.generate_random_walk_degree_sequence(10) self.assertEqual(len(walk), 10) def test_immunize_network_vaccinate(self): """ Tests that network immunization is working correctly. """ G = nx.barabasi_albert_graph(100, 5) network = contagion.ContactNetwork( G, fraction_infected = 0.5, fraction_recovered = 0.35) Im = copy.deepcopy(network.In) np.random.shuffle(Im) network.immunize_network(Im, efficacy = 0.7) self.assertEqual(np.sum(network.Im), np.sum(Im)) def test_init_histories(self): """ Tests initiation of simulation history. """ G = nx.barabasi_albert_graph(100, 5) network = contagion.ContactNetwork( G, fraction_infected = 0.25) sim = contagion.Contagion(network, save_history = True) self.assertEqual(len(sim.Su_hist), 1) def test_run_simulation(self): """ Tests that the simulation runs for an appropriate number of steps. """ G = nx.barabasi_albert_graph(100, 5) network = contagion.ContactNetwork( G, fraction_infected = 0.25) sim = contagion.Contagion(network, save_history = True) sim.run_simulation() self.assertGreater(len(sim.In_hist), 4) def test_time_varying_beta(self): """ Tests that the simulation correctly initializes time-varying transmission rates as a list. """ G = nx.barabasi_albert_graph(100, 5) network = contagion.ContactNetwork( G, fraction_infected = 0.25) sim = contagion.Contagion( network, beta = [1., 0., 0.5, 1., 0., 0.5]) self.assertIsInstance(sim.beta_queue, list) def test_single_omega(self): """ Tests running of a simulation with a Re-to-Su probability. """ G = nx.barabasi_albert_graph(100, 5) network = contagion.ContactNetwork( G, fraction_infected = 0.25) sim = contagion.Contagion( network, beta = 0.5, omega = 0.05) sim.run_simulation() self.assertGreater(len(sim.In_hist), 4) def test_multiple_omega(self): """ Tests running of a simulation with Re-to-Su and Im-to_Su probabilities. """ G = nx.barabasi_albert_graph(100, 5) network = contagion.ContactNetwork( G, fraction_infected = 0.25) Im = copy.deepcopy(network.In) np.random.shuffle(Im) network.immunize_network(Im, efficacy = 0.7) sim = contagion.Contagion( network, beta = 0.5, omega = (0.1, 0.05)) sim.run_simulation() self.assertGreater(len(sim.In_hist), 4) def test_max_infected(self): """ Tests believability of maximum infected during simulation. """ G = nx.barabasi_albert_graph(100, 5) network = contagion.ContactNetwork( G, fraction_infected = 0.25) sim = contagion.Contagion(network, save_history = True) self.assertGreater(sim.run_simulation_get_max_infected(), 24) def test_max_infected_index(self): """ Tests index of maximum infected during simulation. """ G = nx.barabasi_albert_graph(100, 5) network = contagion.ContactNetwork( G, fraction_infected = 0.25) sim = contagion.Contagion(network, save_history = True) self.assertGreater(sim.run_simulation_get_max_infected_index(), -1) if __name__ == '__main__': unittest.main()

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null

0

1

0

1

0

1

0

null

0

5

ad7d63f28cfc61172c28b5903dd114afd04f8eda

200

py

Python

filemanager/signals.py

code-assassin/django-filemanager

69950c786348bec619f060e3131f49eb7f2e58c5

[ "BSD-3-Clause" ]

12

2016-04-02T06:02:20.000Z

2021-11-18T18:49:08.000Z

filemanager/signals.py

code-assassin/django-filemanager

69950c786348bec619f060e3131f49eb7f2e58c5

[ "BSD-3-Clause" ]

3

2015-06-02T08:28:29.000Z

2016-01-08T16:09:24.000Z

filemanager/signals.py

code-assassin/django-filemanager

69950c786348bec619f060e3131f49eb7f2e58c5

[ "BSD-3-Clause" ]

9

2015-04-21T05:07:20.000Z

2021-05-14T14:11:16.000Z

from django.dispatch import Signal filemanager_pre_upload = Signal(providing_args=["filename", "path", "filepath"]) filemanager_post_upload = Signal(providing_args=["filename", "path", "filepath"])

33.333333

81

0.775

23

200

6.478261

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0.281879

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1

0

null

0

1

0

5

ad8c4d033aaf99350905356196be6ed9b4b0aebc

244

py

Python

mini_project/Classroom/views.py

op3ntrap/SMUMinipoject

7b5727faecc0454661baf4dba3149db05de2f3ef

[ "MIT" ]

null

mini_project/Classroom/views.py

op3ntrap/SMUMinipoject

7b5727faecc0454661baf4dba3149db05de2f3ef

[ "MIT" ]

6

2020-02-11T23:29:09.000Z

2021-06-10T18:51:47.000Z

mini_project/Classroom/views.py

op3ntrap/SMUMinipoject

7b5727faecc0454661baf4dba3149db05de2f3ef

[ "MIT" ]

null

from django.shortcuts import render, redirect, render_to_response from django.http import HttpResponse from django.contrib.auth import logout as auth_logout from django.contrib.auth.decorators import login_required # Create your views here.

27.111111

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0.840164

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244

5.742857

0.6

0.199005

0.169154

0.208955

0

0.114754

244

8

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30.5

0.930556

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null

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1

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1

0

1

0

5

ad8fe935e29b7d655cc14b46dc579cdb4b2e37ff

113

py

Python

multi_task/config/__init__.py

mydkzgj/esm

2170d436af021188f233fa88a233959c61bd1f23

[ "MIT" ]

null

multi_task/config/__init__.py

mydkzgj/esm

2170d436af021188f233fa88a233959c61bd1f23

[ "MIT" ]

null

multi_task/config/__init__.py

mydkzgj/esm

2170d436af021188f233fa88a233959c61bd1f23

[ "MIT" ]

null

# encoding: utf-8 """ @author: Jiayang Chen @contact: yjcmydkzgj@gmail.com """ from .defaults import _C as cfg

14.125

31

0.699115

16

113

4.875

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0.159292

113

7

32

16.142857

0.810526

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0

1

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true

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1

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null

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0

null

0

1

0

1

0

1

0

5

a8dd849fd9e6c30288642083c73d8528211ad3c4

199

py

Python

presentation/code/duck.py

jrahm/DuckTest

6a7ff76765d96d57764f5d88b94f676c7fbe1544

[ "BSD-2-Clause" ]

null

presentation/code/duck.py

jrahm/DuckTest

6a7ff76765d96d57764f5d88b94f676c7fbe1544

[ "BSD-2-Clause" ]

null

presentation/code/duck.py

jrahm/DuckTest

6a7ff76765d96d57764f5d88b94f676c7fbe1544

[ "BSD-2-Clause" ]

null

class Duck: def __init__(self): print("Duck!") def walk(self): print("Waddle") def quack(self): print("Quack!") def feathers(self): print("Ruffle")

15.307692

23

0.517588

22

199

4.5

0.5

0.363636

0

0.326633

199

12

24

16.583333

0.738806

0

0.115578

0

1

0.444444

false

0

0.555556

0.444444

1

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null

1

0

null

0

1

0

1

0

5

d109549f1ad38c6e2afb6a58b737dbafd0424ec1

206

py

Python

monoport/lib/modeling/backbones/__init__.py

ArshdeepSahni/MonoPort

a67fdc02b4fb45b3cc187aa4ae34053574d0383c

[ "Unlicense" ]

1

2021-01-15T09:42:29.000Z

monoport/lib/modeling/backbones/__init__.py

ArshdeepSahni/MonoPort

a67fdc02b4fb45b3cc187aa4ae34053574d0383c

[ "Unlicense" ]

null

monoport/lib/modeling/backbones/__init__.py

ArshdeepSahni/MonoPort

a67fdc02b4fb45b3cc187aa4ae34053574d0383c

[ "Unlicense" ]

null

from .HGFilters import HGFilter, PIFuHGFilters from .ResBlkFilters import ResnetFilter, PIFuResBlkFilters from .Yolov4Filters import Yolov4Filters from .HRNetFilters import HRNetV2_W18_small_v2_balance_last

51.5

59

0.88835

23

206

7.73913

0.695652

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0.031746

0.082524

206

4

59

51.5

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0

1

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true

0

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null

0

1

0

1

0

1

0

5

d1386fb21a9d2cc73a2270c7779851ad0bff96d1

8,425

py

Python

LiquorStore/models.py

CPU-sangoma/PlentyPot

27e326f61e57746f5ca6701358d86c01b4a9ee31

[ "MIT" ]

null

LiquorStore/models.py

CPU-sangoma/PlentyPot

27e326f61e57746f5ca6701358d86c01b4a9ee31

[ "MIT" ]

null

LiquorStore/models.py

CPU-sangoma/PlentyPot

27e326f61e57746f5ca6701358d86c01b4a9ee31

[ "MIT" ]

null

from django.db import models from profiles.models import BusinessProfile class LiquorHomePageModel(models.Model): bannerImage = models.ImageField(verbose_name="upload a big banner Image for your Home Page",upload_to="LiquorStore/LiquorHome/", height_field=None, width_field=None, max_length=None,null=True,blank=False) wine1 = models.ImageField(verbose_name="first pic under wines/champagne",upload_to="LiquorStore/LiquorHome/", height_field=None, width_field=None, max_length=None,null=True,blank=False) wine1des = models.TextField(verbose_name="price description for first wines/champagne pic", blank=False,null=True) wine2 = models.ImageField(verbose_name="second pic under wines/champagne",upload_to="LiquorStore/LiquorHome/", height_field=None, width_field=None, max_length=None,null=True,blank=False) wine2des = models.TextField(verbose_name="price description for sec wines/champagne pic", blank=False,null=True) wine3 = models.ImageField(verbose_name="third pic under wines/champagne",upload_to="LiquorStore/LiquorHome/", height_field=None, width_field=None, max_length=None,null=True,blank=False) wine3des = models.TextField(verbose_name="price description for third wines/champagne pic", blank=False,null=True) wine4 = models.ImageField(verbose_name="fourth pic under wines/champagne",upload_to="LiquorStore/LiquorHome/", height_field=None, width_field=None, max_length=None,null=True,blank=False) wine4des = models.TextField(verbose_name="price description for fifth wines/champagne pic", blank=False,null=True) wine5 = models.ImageField(verbose_name="fifth pic under wines/champagne",upload_to="LiquorStore/LiquorHome/", height_field=None, width_field=None, max_length=None,null=True,blank=False) wine5des = models.TextField(verbose_name="price description for fifth wines/champagne pic", blank=False,null=True) wine6 = models.ImageField(verbose_name="sixth pic under wines/champagne",upload_to="LiquorStore/LiquorHome/", height_field=None, width_field=None, max_length=None,null=True,blank=False) wine6des = models.TextField(verbose_name="price description for sixth wines/champagne pic", blank=False,null=True) wine7 = models.ImageField(verbose_name="seventh pic under wines/champagne",upload_to="LiquorStore/LiquorHome/", height_field=None, width_field=None, max_length=None,null=True,blank=False) wine7des = models.TextField(verbose_name="price description for seventh wines/champagne pic", blank=False,null=True) wine8 = models.ImageField(verbose_name="8th pic under wines/champagne",upload_to="LiquorStore/LiquorHome/", height_field=None, width_field=None, max_length=None,null=True,blank=False) wine8des = models.TextField(verbose_name="price description for eighth wines/champagne pic", blank=False,null=True) company = models.OneToOneField(BusinessProfile,on_delete=models.CASCADE,related_name="liquorhome") beer1 = models.ImageField(verbose_name="first pic under beers and cider",upload_to="LiquorStore/LiquorHome/", height_field=None, width_field=None, max_length=None,null=True,blank=False) beer1des = models.TextField(verbose_name="price description for first beers/ciders pic", blank=False,null=True) beer2 = models.ImageField(verbose_name="second pic under beers and cider",upload_to="LiquorStore/LiquorHome/", height_field=None, width_field=None, max_length=None,null=True,blank=False) beer2des = models.TextField(verbose_name="price description for second beers/ciders pic ", blank=False,null=True) beer3 = models.ImageField(verbose_name="third pic under beers and cider",upload_to="LiquorStore/LiquorHome/", height_field=None, width_field=None, max_length=None,null=True,blank=False) beer3des = models.TextField(verbose_name="price description for third beers/ciders pic ", blank=False,null=True) beer4 = models.ImageField(verbose_name="fourth pic under beers and cider",upload_to="LiquorStore/LiquorHome/", height_field=None, width_field=None, max_length=None,null=True,blank=False) beer4des = models.TextField(verbose_name="price description for forth beers/ciders pic ", blank=False,null=True) beer5 = models.ImageField(verbose_name="fifth pic under beers and cider",upload_to="LiquorStore/LiquorHome/", height_field=None, width_field=None, max_length=None,null=True,blank=False) beer5des = models.TextField(verbose_name="price description for fifth beers/ciders pic", blank=False,null=True) beer7 = models.ImageField(verbose_name="7th pic under beers and cider",upload_to="LiquorStore/LiquorHome/", height_field=None, width_field=None, max_length=None,null=True,blank=False) beer7des = models.TextField(verbose_name="price description for seventh beers/ciders pic", blank=False,null=True) beer8 = models.ImageField(verbose_name="8th pic under beers and cider",upload_to="LiquorStore/LiquorHome/", height_field=None, width_field=None, max_length=None,null=True,blank=False) beer8des = models.TextField(verbose_name="price description for eighth beers/ciders pic", blank=False,null=True) bottle1 = models.ImageField(verbose_name="first pic under Liquor/Spirits",upload_to="LiquorStore/LiquorHome/", height_field=None, width_field=None, max_length=None,null=True,blank=False) bottle1des = models.TextField(verbose_name="price description for first Liquor/Spirits pic", blank=False,null=True) bottle2 = models.ImageField(verbose_name="second pic under Liquor/Spirits",upload_to="LiquorStore/LiquorHome/", height_field=None, width_field=None, max_length=None,null=True,blank=False) bottle2des = models.TextField(verbose_name="price description for second Liquor/Spirits pic", blank=False,null=True) bottle3 = models.ImageField(verbose_name="third pic under Liquor/Spirits",upload_to="LiquorStore/LiquorHome/", height_field=None, width_field=None, max_length=None,null=True,blank=False) bottle3des = models.TextField(verbose_name="price description for third Liquor/Spirits pic", blank=False,null=True) bottle4 = models.ImageField(verbose_name="fourth pic under Liquor/Spirits",upload_to="LiquorStore/LiquorHome/", height_field=None, width_field=None, max_length=None,null=True,blank=False) bottle4des = models.TextField(verbose_name="price description for forth Liquor/Spirits pic", blank=False,null=True) bottle5 = models.ImageField(verbose_name="fifth pic under Liquor/Spirits",upload_to="LiquorStore/LiquorHome/", height_field=None, width_field=None, max_length=None,null=True,blank=False) bottle5des = models.TextField(verbose_name="price description for fifth Liquor/Spirits pic", blank=False,null=True) bottle6 = models.ImageField(verbose_name="sixth pic under Liquor/Spirits",upload_to="LiquorStore/LiquorHome/", height_field=None, width_field=None, max_length=None,null=True,blank=False) bottle6des = models.TextField(verbose_name="price description for sixth Liquor/Spirits pic", blank=False,null=True) bottle7 = models.ImageField(verbose_name="seventh pic under Liquor/Spirits",upload_to="LiquorStore/LiquorHome/", height_field=None, width_field=None, max_length=None,null=True,blank=False) bottle7des = models.TextField(verbose_name="price description for seventh Liquor/Spirits pic", blank=False,null=True) bottle8 = models.ImageField(verbose_name="8th pic under Liquor/Spirits",upload_to="LiquorStore/LiquorHome/", height_field=None, width_field=None, max_length=None,null=True,blank=False) bottle8des = models.TextField(verbose_name="price description for eighth Liquor/Spirits pic", blank=False,null=True) status = models.BooleanField(default=True) PageComplete = models.BooleanField(default=False) def __str__(self): return f'{self.company}' class LiquorSalesModel(models.Model): company = models.OneToOneField(BusinessProfile, on_delete=models.CASCADE,related_name="liquorsales") status = models.BooleanField(default=True) PageComplete = models.BooleanField(default=False) class ActualLiqSales(models.Model): company = models.ForeignKey(BusinessProfile, on_delete=models.CASCADE,related_name="ActualLiquor") salepic = models.ImageField(verbose_name="1st sale item",upload_to="LiquorStore/LiquorSale/", height_field=None, width_field=None, max_length=None,null=True,blank=False) saledes = models.TextField(verbose_name="sale description for item1", blank=False,null=True) def __str__(self): return f'{self.company}'

102.743902

208

0.794659

1,154

8,425

5.660312

0.116118

0.068892

0.088028

0.103337

0.87722

0.638089

0.483313

0

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8,425

81

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104.012346

0.846395

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null

0

1

0

1

0

null

0

1

0

5

0f02080bc075cbc4491b688fae5a41484c653235

220

py

Python

gallery/templatetags/spaces.py

mattmc318/coolwater-creations

a9ef97c39febaf28e3291d83a0a5022238204f8f

[ "MIT" ]

null

gallery/templatetags/spaces.py

mattmc318/coolwater-creations

a9ef97c39febaf28e3291d83a0a5022238204f8f

[ "MIT" ]

3

2020-06-09T01:29:36.000Z

2020-07-21T01:53:16.000Z

gallery/templatetags/spaces.py

mattmc318/coolwater-creations

a9ef97c39febaf28e3291d83a0a5022238204f8f

[ "MIT" ]

null

import re from django.template import Library from django.template.defaultfilters import stringfilter register = Library() @stringfilter def spaces(value): return re.sub('\s+', ' ', value) register.filter(spaces)

18.333333

55

0.759091

27

220

6.185185

0.592593

0.11976

0.215569

0

0.131818

220

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0

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0

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0

1

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null

0

1

0

null

0

1

0

5

0f5cc8c44b3863951472058ba105f53581bcbad9

27

py

Python

py/desitest/_version.py

sbailey/desitest

9f39999bc71b15ac8fc9bc864c12def8ee210218

[ "BSD-3-Clause" ]

null

py/desitest/_version.py

sbailey/desitest

9f39999bc71b15ac8fc9bc864c12def8ee210218

[ "BSD-3-Clause" ]

33

2018-01-10T22:24:06.000Z

2022-02-02T00:59:09.000Z

py/desitest/_version.py

sbailey/desitest

9f39999bc71b15ac8fc9bc864c12def8ee210218

[ "BSD-3-Clause" ]

1

2019-05-17T15:37:08.000Z

__version__ = '20.4.dev58'

13.5

26

0.703704

4

27

3.75

1

0

0.208333

0.111111

27

1

27

0.416667

0

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0

1

0

false

0

1

0

null

0

1

0

1

0

1

0

null

0

5

7e71df8f88193c74251ea533da63e0ae86edcc3f

156

py

Python

django_project/bucket_list/filters.py

ugauniyal/Bucket-List-App

03ccff11d2ac8be1b875fb9f1d7da54bf9006f6f

[ "MIT" ]

null

django_project/bucket_list/filters.py

ugauniyal/Bucket-List-App

03ccff11d2ac8be1b875fb9f1d7da54bf9006f6f

[ "MIT" ]

null

django_project/bucket_list/filters.py

ugauniyal/Bucket-List-App

03ccff11d2ac8be1b875fb9f1d7da54bf9006f6f

[ "MIT" ]

null

import django_filters from .models import * class TaskFilter(django_filters.FilterSet): class Meta: model = Task fields = ('category',)

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null

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1

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5

7eab9aede48823942fce3d6fb1226a64b3a66e27

2,157

py

Python

test/test_cannon.py

PetrSpacek/angrylikegame-python-pyqt5

2ddc73fb5b4398117c3a83593632408b4b44e246

[ "MIT" ]

2

2020-01-17T10:43:13.000Z

2021-11-21T14:56:53.000Z

test/test_cannon.py

PetrSpacek/angrylikegame-python-pyqt5

2ddc73fb5b4398117c3a83593632408b4b44e246

[ "MIT" ]

null

test/test_cannon.py

PetrSpacek/angrylikegame-python-pyqt5

2ddc73fb5b4398117c3a83593632408b4b44e246

[ "MIT" ]

null

from model.game_info import GameInfoA from utils.game_object_factory import GameObjectFactoryA from utils.geometry import Position def test_shooting_mode_toggle(qtbot): factory = GameObjectFactoryA() cannon = factory.create_cannon(Position(0,0)) orig_shooting_mode = cannon.active_shooting_mode # Switch to next shooting mode cannon.next_shooting_mode() assert cannon.active_shooting_mode != orig_shooting_mode # Switch back to original shooting mode cannon.next_shooting_mode() assert cannon.active_shooting_mode == orig_shooting_mode def test_simple_shooting_mode(qtbot): factory = GameObjectFactoryA() cannon = factory.create_cannon(Position(0, 0)) cannon.use_simple_shooting_mode() damage = cannon.active_shooting_mode.get_damage() angle = 0 gravity = 10 missile_speed = 5 game_info = GameInfoA(cannon.active_shooting_mode, angle, missile_speed, gravity) angle = cannon.angle missiles = cannon.shoot(game_info) assert len(missiles) == 1 assert missiles[0].get_position() == Position(0, 0) assert missiles[0].angle == angle assert missiles[0].step_size == missile_speed assert missiles[0].damage == damage assert missiles[0].gravity == gravity def test_double_shooting_mode(qtbot): factory = GameObjectFactoryA() cannon = factory.create_cannon(Position(0,0)) cannon.use_double_shooting_mode() damage = cannon.active_shooting_mode.get_damage() angle = 0 gravity = 10 missile_speed = 5 game_info = GameInfoA(cannon.active_shooting_mode, angle, missile_speed, gravity) angle = cannon.angle missiles = cannon.shoot(game_info) assert len(missiles) == 2 assert missiles[0].get_position() == Position(0, 0) assert missiles[0].angle == angle -5 assert missiles[0].step_size == missile_speed assert missiles[0].damage == damage assert missiles[0].gravity == gravity assert missiles[1].get_position() == Position(0, 0) assert missiles[1].angle == angle +5 assert missiles[1].step_size == missile_speed assert missiles[1].damage == damage assert missiles[1].gravity == gravity

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2,157

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null

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null

0

5

7eaff1377f5a9d71cc3b2f583c44ce038fb89a35

69

py

Python

example/test/core/geometry/simple/usphere/__init__.py

dmilos/IceRay

4e01f141363c0d126d3c700c1f5f892967e3d520

[ "MIT-0" ]

2

2020-09-04T12:27:15.000Z

2022-01-17T14:49:40.000Z

example/test/core/geometry/simple/usphere/__init__.py

dmilos/IceRay

4e01f141363c0d126d3c700c1f5f892967e3d520

[ "MIT-0" ]

null

example/test/core/geometry/simple/usphere/__init__.py

dmilos/IceRay

4e01f141363c0d126d3c700c1f5f892967e3d520

[ "MIT-0" ]

1

2020-09-04T12:27:52.000Z

#__name__ = "box" #__package__ = "box" #__all__ = ['unit']

13.8

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0.521739

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69

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24

17.25

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null

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1

0

null

0

1

0

5

0e324adfb68a15219fdda5f4571b74612c114fa6

62

py

Python

flaskr/config.py

Mishuni/Flask_Practice

ac3c94bd7eb185ee655892b50a4d4881def9a373

[ "MIT" ]

null

flaskr/config.py

Mishuni/Flask_Practice

ac3c94bd7eb185ee655892b50a4d4881def9a373

[ "MIT" ]

null

flaskr/config.py

Mishuni/Flask_Practice

ac3c94bd7eb185ee655892b50a4d4881def9a373

[ "MIT" ]

null

SECRET_KEY = b"'@,\xf6\x9d\xd3\xfa\x80<r\xb9\xa3\x91\x19\xd2h"

62

0.693548

14

62

3

1

0

0.2

0.032258

62

1

62

0.5

0

1

0.730159

0

1

0

false

0

1

0

null

0

1

0

1

null

0

5

0e5119adc054321d769fbd53fbc56983fef684ba

126

py

Python

backend/users/models.py

iron-claw-972/ScoutingApp2022

4bc12bccb45225717b1ed94e7dcf593c7a8e0c83

[ "MIT" ]

null

backend/users/models.py

iron-claw-972/ScoutingApp2022

4bc12bccb45225717b1ed94e7dcf593c7a8e0c83

[ "MIT" ]

8

2022-01-10T22:01:11.000Z

2022-01-25T02:35:15.000Z

backend/users/models.py

iron-claw-972/ScoutingApp2022

4bc12bccb45225717b1ed94e7dcf593c7a8e0c83

[ "MIT" ]

2

2022-02-05T00:06:39.000Z

2022-02-19T20:18:56.000Z

from django.db import models from django.contrib.auth.models import AbstractUser class CustomUser(AbstractUser): pass

25.2

52

0.793651

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126

6.25

0.6875

0.2

0

0.150794

126

5

53

25.2

0.934579

0

1

0

true

0.25

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0

1

0

null

0

1

0

null

0

1

0

5

0e598afac02e98ebd703ac728c779f86dd114b80

48

py

Python

Tools/MagicPanels/panelBackOut.py

dprojects/Woodworking

24420b248e3343a387ae1328fc6dcbf97e433242

[ "MIT" ]

6

2022-02-25T19:11:40.000Z

2022-03-24T22:03:47.000Z

Tools/MagicPanels/panelBackOut.py

dprojects/Woodworking

24420b248e3343a387ae1328fc6dcbf97e433242

[ "MIT" ]

1

2022-03-13T09:35:22.000Z

2022-03-13T13:30:36.000Z

Tools/MagicPanels/panelBackOut.py

dprojects/Woodworking

24420b248e3343a387ae1328fc6dcbf97e433242

[ "MIT" ]

3

2022-02-26T15:01:08.000Z

2022-03-20T21:30:04.000Z

import MagicPanels MagicPanels.panelBackOut()

9.6

26

0.833333

4

48

10

0.75

0

0.104167

48

4

27

12

0.930233

0

1

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true

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0.5

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0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

0e95632a162bf60bdcb0cb5221fbb686ad20a62a

91

py

Python

precis/templating/__init__.py

rukmal/precis

0329a0b4a67d996a2b573e3870a509ae92f2c051

[ "MIT" ]

null

precis/templating/__init__.py

rukmal/precis

0329a0b4a67d996a2b573e3870a509ae92f2c051

[ "MIT" ]

12

2019-04-09T03:42:52.000Z

2021-11-16T00:33:36.000Z

precis/templating/__init__.py

rukmal/precis

0329a0b4a67d996a2b573e3870a509ae92f2c051

[ "MIT" ]

null

from . import util from .driver import TemplateDriver from .template import PrecisTemplate

22.75

36

0.835165

11

91

6.909091

0.636364

0

0.131868

91

3

37

30.333333

0.962025

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

0e9cd3f34f4a868090a05ca7564d5c3a9f860156

103

py

Python

markov.py

jshap70/jarbot

9004cfa262d492281840f50632ee7bd40420739b

[ "MIT" ]

null

markov.py

jshap70/jarbot

9004cfa262d492281840f50632ee7bd40420739b

[ "MIT" ]

null

markov.py

jshap70/jarbot

9004cfa262d492281840f50632ee7bd40420739b

[ "MIT" ]

null

#!/usr/bin/env python3 """ Interface module to markov framework """ # global imports import markovify

12.875

36

0.737864

13

103

5.846154

1

0

0.011364

0.145631

103

7

37

14.714286

0.852273

0.708738

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

7eba18ac0cd019d89fefcb1bea3af02bf84ebeb3

812

py

Python

util/common.py

agibli/sansapp

e87dffd81ec709172c25a7729fdf713feaac3a78

[ "MIT" ]

11

2016-05-10T06:22:14.000Z

2022-02-01T15:53:54.000Z

util/common.py

agibli/sansapp

e87dffd81ec709172c25a7729fdf713feaac3a78

[ "MIT" ]

2

2015-06-01T05:05:52.000Z

2016-04-27T05:17:16.000Z

util/common.py

agibli/sansapp

e87dffd81ec709172c25a7729fdf713feaac3a78

[ "MIT" ]

5

2016-04-26T08:20:47.000Z

2021-08-09T07:07:54.000Z

import struct def be_word4(buf): return struct.unpack(">L", buf)[0] def le_word4(buf): return struct.unpack("<L", buf)[0] def be_word8(buf): return struct.unpack(">Q", buf)[0] def le_word8(buf): return struct.unpack("<Q", buf)[0] def be_read4(stream): return struct.unpack(">L", stream.read(4))[0] def le_read4(stream): return struct.unpack("<L", stream.read(4))[0] def be_read8(stream): return struct.unpack(">Q", stream.read(8))[0] def le_read8(stream): return struct.unpack("<Q", stream.read(8))[0] def align(size, stride): return stride * int(1 + ((size - 1) / stride)) def read_null_terminated(stream): result = "" next = stream.read(1) while stream and next != '\0': result += next next = stream.read(1) return result

17.276596

50

0.619458

124

812

3.975806

0.241935

0.194726

0.292089

0.170385

0.640974

0.365112

0

0.03864

0.203202

812

46

51

17.652174

0.723338

0

0.076923

0

0.022167

0

1

0.384615

false

0

0.038462

0.346154

0.807692

0

null

0

1

0

null

0

1

0

1

0

5

7d49a13b89e511282e7692c8272b01862de1fb4c

36

py

Python

lib/ancientsolutions/__init__.py

caoimhechaos/py-ancientsolutions-crypttools

6ea317b2e291113524eb8b4aae74c0077550e36c

[ "BSD-2-Clause" ]

null

lib/ancientsolutions/__init__.py

caoimhechaos/py-ancientsolutions-crypttools

6ea317b2e291113524eb8b4aae74c0077550e36c

[ "BSD-2-Clause" ]

null

lib/ancientsolutions/__init__.py

caoimhechaos/py-ancientsolutions-crypttools

6ea317b2e291113524eb8b4aae74c0077550e36c

[ "BSD-2-Clause" ]

null

# __init__.py for ancientsolutions.

18

35

0.805556

4

36

6.25

1

0

0.111111

36

1

36

0.78125

0.916667

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

bc02f7fb94c8be0a06bb883519d4dc703782d507

10,436

py

Python

gitinsights/tests/unit/test_ado_services.py

nmiodice/git-insights

5667615a152dc5b1c6b2481fe9d6ca6e3de082fa

[ "MIT" ]

null

gitinsights/tests/unit/test_ado_services.py

nmiodice/git-insights

5667615a152dc5b1c6b2481fe9d6ca6e3de082fa

[ "MIT" ]

null

gitinsights/tests/unit/test_ado_services.py

nmiodice/git-insights

5667615a152dc5b1c6b2481fe9d6ca6e3de082fa

[ "MIT" ]

null

import json import os from unittest import TestCase from unittest.mock import Mock from unittest.mock import patch import pandas as pd from gitinsights.mods.ado_client import AzureDevopsInsights def loadMockFile(filePath: str): with open(os.path.join(os.path.dirname(__file__), filePath)) as f: return json.load(f) def aggregateDataframe(df: pd.DataFrame) -> pd.DataFrame: return df.groupby(['week']) \ .agg( { 'prs_merged': 'sum', 'prs_submitted': 'sum', 'pr_completion_days': 'mean', 'pr_comments': 'sum', 'prs_reviewed': 'sum', 'pr_commits_pushed': 'sum', 'commit_change_count_edits': 'sum', 'commit_change_count_deletes': 'sum', 'commit_change_count_additions': 'sum', 'user_stories_assigned': 'sum', 'user_stories_completed': 'sum', 'user_story_points_assigned': 'sum', 'user_story_completion_days': 'mean', 'user_stories_created': 'sum' }) class Test_ADOPrStatService(TestCase): def setUp(self): self.mockedRepoPrResponse = loadMockFile("./data/prStatsByProject.json") self.mockedPrThreadsResponse = loadMockFile("./data/prThreads.json") self.mockedPrCommitsResponse = loadMockFile("./data/prCommits.json") self.mockedRepoCommitsResponse = loadMockFile("./data/repoCommits.json") self.mockedWorkitemListResponse = loadMockFile("./data/workitemList.json") self.mockedWorkitemDetailsResponse = loadMockFile("./data/workitemDetails.json") @patch('gitinsights.mods.repo_insights_base.requests.get') def test_repo_pr_stats(self, mock_get): # Configuring the mock to return a response with an OK status code. Also, the mock should have # a `json()` method that returns a list of pr stats. mock_get.return_value = Mock(ok=True) mock_get.return_value.json.return_value = self.mockedRepoPrResponse client = AzureDevopsInsights("myorg", "my-super-project", ["repo1"], "team-buffalo") response = client.invokePRsByProjectAPICall("", "repo1") self.assertEqual(len(response), 4) @patch('gitinsights.mods.repo_insights_base.requests.get') def test_repo_pr_threads_stats(self, mock_get): # Configuring the mock to return a response with an OK status code. Also, the mock should have # a `json()` method that returns a list of pr threads. mock_get.return_value = Mock(ok=True) mock_get.return_value.json.return_value = self.mockedPrThreadsResponse client = AzureDevopsInsights("myorg", "my-super-project", ["repo1"], "team-buffalo") response = client.invokePRCommentThreadsAPICall("", "repo1", "1") self.assertEqual(len(response), 8) @patch.object(AzureDevopsInsights, 'invokeCommitsByRepoAPICall') def test_repo_commits_stats(self, commitsByRepoMock): emptyResponse = {"value": []} commitsByRepoMock.side_effect = [self.mockedRepoCommitsResponse['value'], emptyResponse['value']] client = AzureDevopsInsights("myorg", "my-super-project", ["repo1"], "team-buffalo") response = client.repoCommits("", "repo1") self.assertEqual(len(response), 8) self.assertEqual(response['3104bd0b0accbc74278fe6880e53215f6b93a5cd']['Add'], 1) self.assertEqual(response['9991b4f66def4c0a9ad8f9f27043ece7eddcf1c7']['Delete'], 1) @patch('gitinsights.mods.repo_insights_base.RepoInsightsClient.invokeAPICall') def test_invoke_workitem_api(self, invokeAPICallMock): invokeAPICallMock.side_effect = [self.mockedWorkitemListResponse['workItems'], self.mockedWorkitemDetailsResponse['value']] client = AzureDevopsInsights("myorg", "my-super-project", ["repo1"], "team-buffalo") response = client.invokeWorkitemsAPICall("", "team-buffalo") self.assertEqual(len(response), 3) @patch.object(AzureDevopsInsights, 'invokePRCommentThreadsAPICall') @patch.object(AzureDevopsInsights, 'invokePRsByProjectAPICall') @patch.object(AzureDevopsInsights, 'invokePRCommitsAPICall') @patch.object(AzureDevopsInsights, 'invokeCommitsByRepoAPICall') @patch.object(AzureDevopsInsights, 'invokeWorkitemsAPICall') def test_single_pr_stats_dataframe(self, workitemsMock, commitsByRepoMock, prCommits, prsByProject, prThreads): emptyResponse = {"value": []} commitsByRepoMock.side_effect = [self.mockedRepoCommitsResponse['value'], emptyResponse['value']] prThreads.return_value = self.mockedPrThreadsResponse['value'] prsByProject.return_value = self.mockedRepoPrResponse['value'] prCommits.return_value = self.mockedPrCommitsResponse['value'] workitemsMock.return_value = self.mockedWorkitemDetailsResponse['value'] expectedDataframeSize = 54 client = AzureDevopsInsights("myorg", "my-super-project", ["repo1"], "team-buffalo") dataframe = client.collectPullRequestActivity("11c") self.assertEqual(len(dataframe), expectedDataframeSize) agg = aggregateDataframe(dataframe) self.assertEqual(len(agg), 1) self.assertEqual(agg.loc['44', 'prs_submitted'], 4) self.assertEqual(agg.loc['44', 'prs_merged'], 1) self.assertEqual(agg.loc['44', 'pr_completion_days'], 2) self.assertEqual(agg.loc['44', 'pr_comments'], 12) self.assertEqual(agg.loc['44', 'prs_reviewed'], 1) self.assertEqual(agg.loc['44', 'pr_commits_pushed'], 32) self.assertEqual(agg.loc['44', 'commit_change_count_additions'], 20) self.assertEqual(agg.loc['44', 'commit_change_count_edits'], 0) self.assertEqual(agg.loc['44', 'commit_change_count_deletes'], 12) self.assertEqual(agg.loc['44', 'user_stories_assigned'], 2) self.assertEqual(agg.loc['44', 'user_stories_completed'], 1) self.assertEqual(agg.loc['44', 'user_story_points_assigned'], 12) self.assertEqual(agg.loc['44', 'user_story_completion_days'], 1) self.assertEqual(agg.loc['44', 'user_stories_created'], 3) @patch.object(AzureDevopsInsights, 'invokePRCommentThreadsAPICall') @patch.object(AzureDevopsInsights, 'invokePRsByProjectAPICall') @patch.object(AzureDevopsInsights, 'invokePRCommitsAPICall') @patch.object(AzureDevopsInsights, 'invokeCommitsByRepoAPICall') @patch.object(AzureDevopsInsights, 'invokeWorkitemsAPICall') def test_multiple_repo_pr_stats_dataframe(self, workitemsMock, commitsByRepoMock, prCommits, prsByProject, prThreads): emptyResponse = {"value": []} commitsByRepoMock.side_effect = [self.mockedRepoCommitsResponse['value'], emptyResponse['value'], self.mockedRepoCommitsResponse['value'], emptyResponse['value']] prThreads.return_value = self.mockedPrThreadsResponse['value'] prsByProject.return_value = self.mockedRepoPrResponse['value'] prCommits.return_value = self.mockedPrCommitsResponse['value'] workitemsMock.return_value = self.mockedWorkitemDetailsResponse['value'] repos = ["repo1", "repo2"] client = AzureDevopsInsights("myorg", "my-super-project", repos, "team-buffalo") dataframe = client.collectPullRequestActivity("11c") self.assertEqual(len(dataframe), 103) agg = aggregateDataframe(dataframe) self.assertEqual(len(agg), 1) self.assertEqual(agg.loc['44', 'prs_submitted'], 8) self.assertEqual(agg.loc['44', 'prs_merged'], 2) self.assertEqual(agg.loc['44', 'pr_completion_days'], 2) self.assertEqual(agg.loc['44', 'pr_comments'], 24) self.assertEqual(agg.loc['44', 'prs_reviewed'], 2) self.assertEqual(agg.loc['44', 'pr_commits_pushed'], 64) self.assertEqual(agg.loc['44', 'commit_change_count_additions'], 40) self.assertEqual(agg.loc['44', 'commit_change_count_edits'], 0) self.assertEqual(agg.loc['44', 'commit_change_count_deletes'], 24) self.assertEqual(agg.loc['44', 'user_stories_assigned'], 2) self.assertEqual(agg.loc['44', 'user_stories_completed'], 1) self.assertEqual(agg.loc['44', 'user_story_points_assigned'], 12) self.assertEqual(agg.loc['44', 'user_story_completion_days'], 1) self.assertEqual(agg.loc['44', 'user_stories_created'], 3) @patch.object(AzureDevopsInsights, 'invokePRCommentThreadsAPICall') @patch.object(AzureDevopsInsights, 'invokePRsByProjectAPICall') @patch.object(AzureDevopsInsights, 'invokePRCommitsAPICall') @patch.object(AzureDevopsInsights, 'invokeCommitsByRepoAPICall') @patch.object(AzureDevopsInsights, 'invokeWorkitemsAPICall') def test_pr_activity_aggregation(self, workitemsMock, commitsByRepoMock, prCommits, prsByProject, prThreads): emptyResponse = {"value": []} commitsByRepoMock.side_effect = [self.mockedRepoCommitsResponse['value'], emptyResponse['value']] prThreads.return_value = self.mockedPrThreadsResponse['value'] prsByProject.return_value = self.mockedRepoPrResponse['value'] prCommits.return_value = self.mockedPrCommitsResponse['value'] workitemsMock.return_value = self.mockedWorkitemDetailsResponse['value'] client = AzureDevopsInsights("myorg", "my-super-project", ["repo1"], "team-buffalo") agg = client.aggregatePullRequestActivity(['week'], "11a") self.assertEqual(len(agg), 1) self.assertEqual(agg.loc['44', 'prs_submitted'], 4) self.assertEqual(agg.loc['44', 'prs_merged'], 1) self.assertEqual(agg.loc['44', 'pr_completion_days'], 2) self.assertEqual(agg.loc['44', 'pr_comments'], 12) self.assertEqual(agg.loc['44', 'prs_reviewed'], 1) self.assertEqual(agg.loc['44', 'pr_commits_pushed'], 32) self.assertEqual(agg.loc['44', 'commit_change_count_additions'], 20) self.assertEqual(agg.loc['44', 'commit_change_count_edits'], 0) self.assertEqual(agg.loc['44', 'commit_change_count_deletes'], 12) self.assertEqual(agg.loc['44', 'user_stories_assigned'], 2) self.assertEqual(agg.loc['44', 'user_stories_completed'], 1) self.assertEqual(agg.loc['44', 'user_story_points_assigned'], 12) self.assertEqual(agg.loc['44', 'user_story_completion_days'], 1) self.assertEqual(agg.loc['44', 'user_stories_created'], 3)

54.638743

170

0.694423

1,071

10,436

6.596639

0.152194

0.112527

0.107006

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null

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bc1326f1d890abe2d582bc9bfbb791f589100409

553

py

Python

services/match.py

nayfaan/Wordle_Analyzer

1efba591a0c6243c06f97101bdf2827e39b910f3

[ "MIT" ]

null

services/match.py

nayfaan/Wordle_Analyzer

1efba591a0c6243c06f97101bdf2827e39b910f3

[ "MIT" ]

null

services/match.py

nayfaan/Wordle_Analyzer

1efba591a0c6243c06f97101bdf2827e39b910f3

[ "MIT" ]

null

class match: def __init__(self, comb): self.comb = comb self.cover = self.__cover__() '''def __eq__(self, other): return self.comb == self.comb def __gt__(self, other): return self.comb > self.comb def __hash__(self): return hash((self.w1, self.w2))''' def __cover__(self): intersect = set("".join(self.comb)) return len(intersect) def __str__(self): return str(self.cover) + ': ' + ', '.join(self.comb) if __name__ == "__main__": pass

24.043478

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1

0

1

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5

70da3268298b169368477d1e02d18ba27f175180

127

py

Python

katas/kyu_6/simple_sentences.py

the-zebulan/CodeWars

1eafd1247d60955a5dfb63e4882e8ce86019f43a

[ "MIT" ]

40

2016-03-09T12:26:20.000Z

2022-03-23T08:44:51.000Z

katas/kyu_6/simple_sentences.py

akalynych/CodeWars

1eafd1247d60955a5dfb63e4882e8ce86019f43a

[ "MIT" ]

null

katas/kyu_6/simple_sentences.py

akalynych/CodeWars

1eafd1247d60955a5dfb63e4882e8ce86019f43a

[ "MIT" ]

36

2016-11-07T19:59:58.000Z

2022-03-31T11:18:27.000Z

def make_sentences(parts): return '{}.'.format( ''.join(' ' + a if a.isalnum() else a for a in parts).strip(' .'))

31.75

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0.551181

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127

3.833333

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75

42.333333

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1

0.333333

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1

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null

0

1

0

1

0

5

cb24e33b93aef758d0d7d5d66724e37d67f23b56

106

py

Python

projects/ISTR/istr/__init__.py

braindevices/ISTR

520b0d410ba8be5dbf53971d962b0bfcf072a7c0

[ "Apache-2.0" ]

171

2021-05-04T02:44:01.000Z

2022-03-28T09:58:29.000Z

projects/ISTR/istr/__init__.py

braindevices/ISTR

520b0d410ba8be5dbf53971d962b0bfcf072a7c0

[ "Apache-2.0" ]

10

2021-05-09T16:04:43.000Z

2021-12-03T01:21:44.000Z

projects/ISTR/istr/__init__.py

braindevices/ISTR

520b0d410ba8be5dbf53971d962b0bfcf072a7c0

[ "Apache-2.0" ]

21

2021-05-04T02:47:57.000Z

2022-01-06T07:34:24.000Z

from .config import add_ISTR_config from .inseg import ISTR from .dataset_mapper import ISTRDatasetMapper

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null

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5

cb27794b61c2afee8f678401b1e88cc23b563de6

42

py

Python

grortir/test/externals/__init__.py

wojtekPi/grortir

0ef8b495527a4f3861e5df5db756d0ee3ed4aa6f

[ "MIT" ]

null

grortir/test/externals/__init__.py

wojtekPi/grortir

0ef8b495527a4f3861e5df5db756d0ee3ed4aa6f

[ "MIT" ]

null

grortir/test/externals/__init__.py

wojtekPi/grortir

0ef8b495527a4f3861e5df5db756d0ee3ed4aa6f

[ "MIT" ]

null

"""Package for test externals package."""

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41

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1

0

null

0

1

0

5

cb6c3a0c44e201c452bf3d59c3d8d0e67163cd7d

59

py

Python

tests/test.py

rokujyouhitoma/cysqlite3

56d7a1974724a1dbfca0b75660db7ed46060ed89

[ "MIT" ]

null

tests/test.py

rokujyouhitoma/cysqlite3

56d7a1974724a1dbfca0b75660db7ed46060ed89

[ "MIT" ]

null

tests/test.py

rokujyouhitoma/cysqlite3

56d7a1974724a1dbfca0b75660db7ed46060ed89

[ "MIT" ]

null

import pyximport; pyximport.install() import test_sqlite3

14.75

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59

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0.714286

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0.101695

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1

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null

0

1

0

1

0

1

0

5

cbcf058bc586d539f01f6b2b3270fd90c02e4801

3,514

py

Python

python/fbs/SymmetricStateMatrix.py

oliverlee/biketest

074b0b03455021c52a13efe583b1816bc5daad4e

[ "BSD-2-Clause" ]

3

2016-12-14T01:22:27.000Z

2020-04-07T05:15:04.000Z

python/fbs/SymmetricStateMatrix.py

oliverlee/biketest

074b0b03455021c52a13efe583b1816bc5daad4e

[ "BSD-2-Clause" ]

7

2017-01-12T15:20:57.000Z

2017-07-02T16:09:37.000Z

python/fbs/SymmetricStateMatrix.py

oliverlee/biketest

074b0b03455021c52a13efe583b1816bc5daad4e

[ "BSD-2-Clause" ]

1

2020-04-07T05:15:05.000Z

# automatically generated, do not modify # namespace: fbs import flatbuffers class SymmetricStateMatrix(object): __slots__ = ['_tab'] # SymmetricStateMatrix def Init(self, buf, pos): self._tab = flatbuffers.table.Table(buf, pos) # SymmetricStateMatrix def Q00(self): return self._tab.Get(flatbuffers.number_types.Float64Flags, self._tab.Pos + flatbuffers.number_types.UOffsetTFlags.py_type(0)) # SymmetricStateMatrix def Q01(self): return self._tab.Get(flatbuffers.number_types.Float64Flags, self._tab.Pos + flatbuffers.number_types.UOffsetTFlags.py_type(8)) # SymmetricStateMatrix def Q02(self): return self._tab.Get(flatbuffers.number_types.Float64Flags, self._tab.Pos + flatbuffers.number_types.UOffsetTFlags.py_type(16)) # SymmetricStateMatrix def Q03(self): return self._tab.Get(flatbuffers.number_types.Float64Flags, self._tab.Pos + flatbuffers.number_types.UOffsetTFlags.py_type(24)) # SymmetricStateMatrix def Q04(self): return self._tab.Get(flatbuffers.number_types.Float64Flags, self._tab.Pos + flatbuffers.number_types.UOffsetTFlags.py_type(32)) # SymmetricStateMatrix def Q11(self): return self._tab.Get(flatbuffers.number_types.Float64Flags, self._tab.Pos + flatbuffers.number_types.UOffsetTFlags.py_type(40)) # SymmetricStateMatrix def Q12(self): return self._tab.Get(flatbuffers.number_types.Float64Flags, self._tab.Pos + flatbuffers.number_types.UOffsetTFlags.py_type(48)) # SymmetricStateMatrix def Q13(self): return self._tab.Get(flatbuffers.number_types.Float64Flags, self._tab.Pos + flatbuffers.number_types.UOffsetTFlags.py_type(56)) # SymmetricStateMatrix def Q14(self): return self._tab.Get(flatbuffers.number_types.Float64Flags, self._tab.Pos + flatbuffers.number_types.UOffsetTFlags.py_type(64)) # SymmetricStateMatrix def Q22(self): return self._tab.Get(flatbuffers.number_types.Float64Flags, self._tab.Pos + flatbuffers.number_types.UOffsetTFlags.py_type(72)) # SymmetricStateMatrix def Q23(self): return self._tab.Get(flatbuffers.number_types.Float64Flags, self._tab.Pos + flatbuffers.number_types.UOffsetTFlags.py_type(80)) # SymmetricStateMatrix def Q24(self): return self._tab.Get(flatbuffers.number_types.Float64Flags, self._tab.Pos + flatbuffers.number_types.UOffsetTFlags.py_type(88)) # SymmetricStateMatrix def Q33(self): return self._tab.Get(flatbuffers.number_types.Float64Flags, self._tab.Pos + flatbuffers.number_types.UOffsetTFlags.py_type(96)) # SymmetricStateMatrix def Q34(self): return self._tab.Get(flatbuffers.number_types.Float64Flags, self._tab.Pos + flatbuffers.number_types.UOffsetTFlags.py_type(104)) # SymmetricStateMatrix def Q44(self): return self._tab.Get(flatbuffers.number_types.Float64Flags, self._tab.Pos + flatbuffers.number_types.UOffsetTFlags.py_type(112)) def CreateSymmetricStateMatrix(builder, q00, q01, q02, q03, q04, q11, q12, q13, q14, q22, q23, q24, q33, q34, q44): builder.Prep(8, 120) builder.PrependFloat64(q44) builder.PrependFloat64(q34) builder.PrependFloat64(q33) builder.PrependFloat64(q24) builder.PrependFloat64(q23) builder.PrependFloat64(q22) builder.PrependFloat64(q14) builder.PrependFloat64(q13) builder.PrependFloat64(q12) builder.PrependFloat64(q11) builder.PrependFloat64(q04) builder.PrependFloat64(q03) builder.PrependFloat64(q02) builder.PrependFloat64(q01) builder.PrependFloat64(q00) return builder.Offset()

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false

0

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null

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null

0

1

0

1

0

5

1dbd902b3e1d94479e72f35dea53f2b01b463e5d

59

py

Python

tests/tests_setups/colreqs_test/test_collect_reqs_latest_SHOULD_exclude_repoassist_reqs_properly/mod.py

DamianPala/pyrepogen

1626d13875083b4d005b4ae5d68ac35a9879a464

[ "MIT" ]

null

tests/tests_setups/colreqs_test/test_collect_reqs_latest_SHOULD_exclude_repoassist_reqs_properly/mod.py

DamianPala/pyrepogen

1626d13875083b4d005b4ae5d68ac35a9879a464

[ "MIT" ]

null

tests/tests_setups/colreqs_test/test_collect_reqs_latest_SHOULD_exclude_repoassist_reqs_properly/mod.py

DamianPala/pyrepogen

1626d13875083b4d005b4ae5d68ac35a9879a464

[ "MIT" ]

null

import pytest @pytest.mark.skip def test_dump(): pass

9.833333

17

0.711864

9

59

4.555556

0.888889

0

0.186441

59

6

18

9.833333

0.854167

0

1

0.25

true

0.25

0

0.5

0

1

0

null

0

1

0

null

0

1

0

5

1dcbca3f876551a0f6b8746ec5aacc31020ebe97

183

py

Python

pyapp_ext/messaging/sio/checks.py

pyapp-org/pyapp-messaging

159dede0d9a9823997dd37641cc2f46b139d24e3

[ "BSD-3-Clause" ]

1

2021-02-21T18:27:23.000Z

pyapp_ext/messaging/sio/checks.py

pyapp-org/pyapp-messaging

159dede0d9a9823997dd37641cc2f46b139d24e3

[ "BSD-3-Clause" ]

22

2020-07-31T05:06:51.000Z

2022-02-14T00:03:03.000Z

pyapp_ext/messaging/sio/checks.py

pyapp-org/pyapp-messaging

159dede0d9a9823997dd37641cc2f46b139d24e3

[ "BSD-3-Clause" ]

null

from pyapp.checks.registry import register from .factory import message_sender_factory, message_receiver_factory register(message_sender_factory) register(message_receiver_factory)

26.142857

69

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183

6.695652

0.434783

0.168831

0.25974

0

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0

1

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true

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1

0

null

0

1

0

1

0

5

382444817ccbd09ece3a6ee4a1dee1140c214bfe

117

py

Python

meniscus/data/handlers/elasticsearch/__init__.py

ProjectMeniscus/meniscus

1df9efe33ead702d0f53dfc227b5da385ba9cf23

[ "Apache-2.0" ]

12

2015-01-14T03:40:05.000Z

2018-08-20T13:19:07.000Z

meniscus/data/handlers/elasticsearch/__init__.py

ProjectMeniscus/meniscus

1df9efe33ead702d0f53dfc227b5da385ba9cf23

[ "Apache-2.0" ]

1

2015-07-02T17:03:47.000Z

meniscus/data/handlers/elasticsearch/__init__.py

ProjectMeniscus/meniscus

1df9efe33ead702d0f53dfc227b5da385ba9cf23

[ "Apache-2.0" ]

4

2015-05-12T12:04:44.000Z

2020-11-17T19:08:43.000Z

#hoist get_handler method into package namespace from meniscus.data.handlers.elasticsearch.driver import get_handler

39

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0.871795

16

117

6.25

0.875

0.2

0

0.08547

117

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68

58.5

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0.401709

0

1

0

true

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null

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null

0

1

0

1

0

1

0

5

69dd4a866acdb6c0fdc9faf4d74dd58e63acda10

2,390

py

Python

py-rest-client/test/test_products_l0_dist_api.py

ausseabed/product-catalogue

3deca0301298efe22d7b61028683254ac3bd3c66

[ "Apache-2.0" ]

null

py-rest-client/test/test_products_l0_dist_api.py

ausseabed/product-catalogue

3deca0301298efe22d7b61028683254ac3bd3c66

[ "Apache-2.0" ]

4

2022-02-13T10:48:44.000Z

2022-03-02T21:22:04.000Z

py-rest-client/test/test_products_l0_dist_api.py

ausseabed/product-catalogue

3deca0301298efe22d7b61028683254ac3bd3c66

[ "Apache-2.0" ]

null

# coding: utf-8 """ AusSeabed product catalogue The API description for the Ausseabed product catalogue inventory # noqa: E501 The version of the OpenAPI document: 0.2.2 Contact: AusSeabed@ga.gov.au Generated by: https://openapi-generator.tech """ from __future__ import absolute_import import unittest import product_catalogue_py_rest_client from product_catalogue_py_rest_client.api.products_l0_dist_api import ProductsL0DistApi # noqa: E501 from product_catalogue_py_rest_client.rest import ApiException class TestProductsL0DistApi(unittest.TestCase): """ProductsL0DistApi unit test stubs""" def setUp(self): self.api = product_catalogue_py_rest_client.api.products_l0_dist_api.ProductsL0DistApi() # noqa: E501 def tearDown(self): pass def test_products_l0_dist_controller_create(self): """Test case for products_l0_dist_controller_create """ pass def test_products_l0_dist_controller_create_instrument(self): """Test case for products_l0_dist_controller_create_instrument """ pass def test_products_l0_dist_controller_delete(self): """Test case for products_l0_dist_controller_delete """ pass def test_products_l0_dist_controller_delete_instrument(self): """Test case for products_l0_dist_controller_delete_instrument """ pass def test_products_l0_dist_controller_find_all(self): """Test case for products_l0_dist_controller_find_all """ pass def test_products_l0_dist_controller_find_instruments(self): """Test case for products_l0_dist_controller_find_instruments """ pass def test_products_l0_dist_controller_find_one(self): """Test case for products_l0_dist_controller_find_one """ pass def test_products_l0_dist_controller_find_one_instrument(self): """Test case for products_l0_dist_controller_find_one_instrument """ pass def test_products_l0_dist_controller_update(self): """Test case for products_l0_dist_controller_update """ pass def test_products_l0_dist_controller_update_instrument(self): """Test case for products_l0_dist_controller_update_instrument """ pass if __name__ == '__main__': unittest.main()

25.157895

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1

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1

0

1

0

5

0e12818f898714380cb5fd3cab7d431aeacfc7f7

345

py

Python

stubs/resizeimage/resizeimage.py

tiliado/fxwebgen

5d1c5120b27fc13b6b45ee4e0017771271c3c3e0

[ "BSD-2-Clause" ]

null

stubs/resizeimage/resizeimage.py

tiliado/fxwebgen

5d1c5120b27fc13b6b45ee4e0017771271c3c3e0

[ "BSD-2-Clause" ]

13

2018-08-06T15:25:50.000Z

2019-04-14T14:09:22.000Z

stubs/resizeimage/resizeimage.py

tiliado/fxwebgen

5d1c5120b27fc13b6b45ee4e0017771271c3c3e0

[ "BSD-2-Clause" ]

null

from typing import Union, Tuple, List from PIL.Image import Image def resize_width(image: Image, size: Union[int, Tuple[int, int], List[int]]) -> Image: ... def resize_height(image: Image, size: Union[int, Tuple[int, int], List[int]]) -> Image: ... def resize_thumbnail(image: Image, size: Union[int, Tuple[int, int], List[int]]) -> Image: ...

49.285714

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0.178723

0.242553

0.651064

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1

0

null

0

1

0

1

0

5

38b0c0abf965823ba4d857c58f57de8c41d5ad29

2,374

py

Python

tests/cli/97_test_site_update.py

zorrobyte/easyengine

a37396d0c941ef363c6a297876582ddcc37ed55b

[ "MIT" ]

2

2015-09-06T13:18:36.000Z

2019-02-13T09:00:56.000Z

tests/cli/97_test_site_update.py

zorrobyte/easyengine

a37396d0c941ef363c6a297876582ddcc37ed55b

[ "MIT" ]

1

2020-10-27T19:47:50.000Z

tests/cli/97_test_site_update.py

zorrobyte/easyengine

a37396d0c941ef363c6a297876582ddcc37ed55b

[ "MIT" ]

null

from ee.utils import test from ee.cli.main import get_test_app class CliTestCaseSite(test.EETestCase): def test_ee_cli(self): self.app.setup() self.app.run() self.app.close() def test_ee_cli_site_update_html(self): self.app = get_test_app(argv=['site', 'update', 'example2.com', '--html']) self.app.setup() self.app.run() self.app.close() def test_ee_cli_site_update_php(self): self.app = get_test_app(argv=['site', 'update', 'example1.com', '--php']) self.app.setup() self.app.run() self.app.close() def test_ee_cli_site_update_mysql(self): self.app = get_test_app(argv=['site', 'update', 'example1.com', '--html']) self.app.setup() self.app.run() self.app.close() def test_ee_cli_site_update_wp(self): self.app = get_test_app(argv=['site', 'update', 'example5.com', '--wp']) self.app.setup() self.app.run() self.app.close() def test_ee_cli_site_update_wpsubdir(self): self.app = get_test_app(argv=['site', 'update', 'example4.com', '--wpsubdir']) self.app.setup() self.app.run() self.app.close() def test_ee_cli_site_update_wpsubdomain(self): self.app = get_test_app(argv=['site', 'update', 'example7.com', '--wpsubdomain']) self.app.setup() self.app.run() self.app.close() def test_ee_cli_site_update_w3tc(self): self.app = get_test_app(argv=['site', 'update', 'example8.com', '--w3tc']) self.app.setup() self.app.run() self.app.close() def test_ee_cli_site_update_wpfc(self): self.app = get_test_app(argv=['site', 'update', 'example9.com', '--wpfc']) self.app.setup() self.app.run() self.app.close() def test_ee_cli_site_update_wpsc(self): self.app = get_test_app(argv=['site', 'update', 'example6.com', '--wpsc']) self.app.setup() self.app.run() self.app.close()

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1

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null

0

5

38cdc884fd43405de51719a7d80ee6169abf9749

137

py

Python

comments/admin.py

LordK1/Socialist

775820db682b97b00caa47e3df6d5d63dd3f8b37

[ "MIT" ]

null

comments/admin.py

LordK1/Socialist

775820db682b97b00caa47e3df6d5d63dd3f8b37

[ "MIT" ]

null

comments/admin.py

LordK1/Socialist

775820db682b97b00caa47e3df6d5d63dd3f8b37

[ "MIT" ]

null

from django.contrib import admin # Register your models here. from comments.models import PostComment admin.site.register(PostComment)

19.571429

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5

38d0167e537bf04b5ac3b4db66068bf2cb34859d

14,691

py

Python

hsstock/service/sinanews_service.py

hsstock/hsstock

f8841331022e8844537a5c5b08d047e2cc328856

[ "Apache-2.0" ]

2

2018-10-04T08:04:24.000Z

2021-01-21T06:58:30.000Z

hsstock/service/sinanews_service.py

hsstock/hsstock

f8841331022e8844537a5c5b08d047e2cc328856

[ "Apache-2.0" ]

null

hsstock/service/sinanews_service.py

hsstock/hsstock

f8841331022e8844537a5c5b08d047e2cc328856

[ "Apache-2.0" ]

1

2018-10-20T09:39:50.000Z

# -*- coding: UTF-8 -*- import requests import bs4 import time import random import hsstock.utils.logger as logger from hsstock.utils.date_util import DateUtil from hsstock.utils.decorator import retry class SinanewsService(object): def __init__(self, mongodbutil): self.itemArray = [] self.mongodbutil = mongodbutil def generate_url(self,market, code): """ US: http://stock.finance.sina.com.cn/usstock/quotes/ntes.html HK: http://stock.finance.sina.com.cn/hkstock/quotes/00771.html SH: http://finance.sina.com.cn/realstock/company/sh603722/nc.shtml SZ: http://finance.sina.com.cn/realstock/company/sz000782/nc.shtml :param market: :param code: :return: """ if market == 'US': return 'http://stock.finance.sina.com.cn/usstock/quotes/' + code + '.html' if market == 'HK': return 'http://stock.finance.sina.com.cn/hkstock/quotes/' + code + '.html' if market == 'SH': return 'http://finance.sina.com.cn/realstock/company/' + str.lower(market) + code + '/nc.shtml' if market == 'SZ': return 'http://finance.sina.com.cn/realstock/company/' + str.lower(market) + code + '/nc.shtml' else: return "url not found" @retry(wait=30) def get_page(self,market, code,url): ret_code = -1 ret_data = '' self.itemArray = [] try: res = requests.get(url, timeout=60, headers={ 'Content-type': 'text/html;charset=gb2312' }) if res.encoding == 'ISO-8859-1': res.encoding = 'gbk' html = res.text # .encode(res.encoding) res.raise_for_status() if res.status_code == 200 : contentSoup = bs4.BeautifulSoup(html,'lxml') elems = contentSoup.select('#js_ggzx > li,.li_point > ul > li,.col02_22 > ul > li') for elem in elems: json = {} json['code'] = code temp = elem.__str__()[4:5] if (temp == '\n') and market == 'US': continue ele = elem.select('span') json['date'] = DateUtil.format_date(ele[0].getText()[1:-1]) s = json['date'] json['date'] = s.replace(' </a>', '') date = DateUtil.string_toDatetime(json['date']) json['date'] = date ele = elem.select('a') json['title'] = ele[len(ele)-1].getText() logger.info("date:{},title:{}".format(s, json['title'])) json['href'] = ele[len(ele)-1].attrs['href'] json['year'] = 'guess' ret,content = self.get_content(json['href'],'utf-8') # if ret != -1 : # time.sleep(4 * random.random()) if ret == 0 : json['content'] = content self.itemArray.append(json) ret_code = 0 ret_data = '' except Exception as err: #time.sleep(4 * random.random()) logger.warning(err) ret_code = -1 ret_data = err except requests.exceptions.ConnectTimeout as err: logger.warning(err) ret_code = -1 ret_data = err except requests.exceptions.ReadTimeout as err: logger.warning(err) ret_code = -1 ret_data = err except requests.exceptions.Timeout as err: logger.warning(err) ret_code = -1 ret_data = err except: logger.warning('Unfortunitely -- An Unknow Error Happened, Please wait 3 seconds') time.sleep(random.random()) ret_code = -1 ret_data = '' finally: res.close() return ret_code,ret_data def generate_page_url(self, market, code, page): """ HK: http://stock.finance.sina.com.cn/hkstock/go/CompanyNews/page/1/code/00771.html US: http://biz.finance.sina.com.cn/usstock/usstock_news.php?pageIndex=1&symbol=ntes&type=1 SH: http://vip.stock.finance.sina.com.cn/corp/view/vCB_AllNewsStock.php?symbol=sh603722&Page=1 SZ: http://vip.stock.finance.sina.com.cn/corp/view/vCB_AllNewsStock.php?symbol=sz000063&Page=1 """ if market == 'HK': return 'http://stock.finance.sina.com.cn/hkstock/go/CompanyNews/page/' + str( page) + '/code/' + code + '.html' if market == 'US': return 'http://biz.finance.sina.com.cn/usstock/usstock_news.php?pageIndex=' + str( page) + '&symbol=' + code + '&type=' if market == 'SH': return 'http://vip.stock.finance.sina.com.cn/corp/view/vCB_AllNewsStock.php?symbol=' + str.lower( market) + code + '&Page=' + str( page) if market == 'SZ': return 'http://vip.stock.finance.sina.com.cn/corp/view/vCB_AllNewsStock.php?symbol=' + str.lower( market) + code + '&Page=' + str( page) else: return "url not found" @retry() def get_hk_page(self, market, code, page): """ :param market: :param code: :param page: :return: page number, -1: failed """ self.itemArray = [] url = self.generate_page_url(market, code, page) logger.info('fetch url: {}'.format(url)) try: res = requests.get(url, timeout=60, headers={'Content-type': 'text/html;charset=gb2312'}) if res.encoding == 'ISO-8859-1': res.encoding = 'gbk' html = res.text # .encode(res.encoding) res.raise_for_status() if res.status_code == 200: contentSoup = bs4.BeautifulSoup(html, 'lxml') elems = contentSoup.select('#js_ggzx > li,.li_point > ul > li,.col02_22 > ul > li') if len(elems) < 2: return -1,'' for elem in elems: json = {} json['code'] = code ele = elem.select('span') if len(ele) == 0: continue json['date'] = ele[0].getText() s = json['date'] ele = elem.select('a') json['title'] = ele[len(ele) - 1].getText() logger.info("date:{},title:{}".format(s, json['title'])) json['href'] = ele[len(ele) - 1].attrs['href'] json['year'] = 'real' ret, content = self.get_content(json['href'], "utf-8") # if ret != -1: # time.sleep(4 * random.random()) if ret == 0: json['content'] = content self.itemArray.append(json) except Exception as err: # logger.warning(err) except requests.exceptions.ConnectTimeout as err: logger.warning(err) ret_code = -1 ret_data = err except requests.exceptions.ReadTimeout as err: logger.warning(err) ret_code = -1 ret_data = err except requests.exceptions.Timeout as err: logger.warning(err) ret_code = -1 ret_data = err except: logger.warning('Unfortunitely -- An Unknow Error Happened, Please wait 3 seconds') time.sleep(random.random()) ret_code = -1 ret_data = '' finally: res.close() return page + 1,'' @retry() def get_us_page(self, market, code, page, type): """ :param market: :param code: :param page: :param type: :return: (page_number, type), page_number:-1 """ self.itemArray = [] url = self.generate_page_url(market, code, page) url = url + type logger.info('fetch url: {}'.format(url)) try: res = requests.get(url, timeout=60, headers={'Content-type': 'text/html;charset=gb2312'}) if res.encoding == 'ISO-8859-1': res.encoding = 'gbk' html = res.text # .encode(res.encoding) res.raise_for_status() if res.status_code == 200: contentSoup = bs4.BeautifulSoup(html, 'lxml') elems = contentSoup.select('.xb_news > ul > li') if page >= 100: if type.__eq__("1"): return 1, '2' else: return -1, '2' for elem in elems: json = {} json['code'] = code ele = elem.select('span') if len(ele) == 0: continue json['date'] = DateUtil.format_date_us_history(ele[0].getText()) s = json['date'] ele = elem.select('a') json['title'] = ele[len(ele) - 1].getText() logger.info("date:{},title:{}".format(s, json['title'])) json['href'] = ele[len(ele) - 1].attrs['href'] json['year'] = 'real' ret, content = self.get_content(json['href'], "utf-8") # if ret != -1: # time.sleep(4 * random.random()) if ret == 0: json['content'] = content self.itemArray.append(json) except Exception as err: #time.sleep(4 * random.random()) logger.warning(err) except requests.exceptions.ConnectTimeout as err: logger.warning(err) ret_code = -1 ret_data = err except requests.exceptions.ReadTimeout as err: logger.warning(err) ret_code = -1 ret_data = err except requests.exceptions.Timeout as err: logger.warning(err) ret_code = -1 ret_data = err except: logger.warning('Unfortunitely -- An Unknow Error Happened, Please wait 3 seconds') time.sleep(random.random()) ret_code = -1 ret_data = '' finally: res.close() return page + 1, type @retry() def get_chn_page(self, market, code, page): self.itemArray = [] url = self.generate_page_url(market, code, page) logger.info('fetch url: {}'.format(url)) try: res = requests.get(url, timeout=60, headers={'Content-type':'text/html;charset=gb2312'}) if res.encoding == 'ISO-8859-1': res.encoding = 'gbk' html = res.text #.encode(res.encoding) res.raise_for_status() if res.status_code == 200: contentSoup = bs4.BeautifulSoup(html, 'lxml') strList = str(contentSoup.select('.datelist > ul'))[10:-12] elems = strList.split("<br/>") if len(elems) < 2: return -1,'' for elem in elems: if elem == '': continue json = {} elem = elem.lstrip() parts = elem.split('<a href="') json['code'] = code json['date'] = parts[0].rstrip() + ":00" s = json['date'] parts1 = parts[1].split('" target="_blank">') json['href'] = parts1[0] json['year'] = 'real' parts2 = parts1[1].split('</a>') json['title'] = parts2[0] logger.info("date:{},title:{}".format(s, json['title'])) ret, content = self.get_content(json['href'], "utf-8") # if ret != -1: # time.sleep(4 * random.random()) if ret == 0: json['content'] = content self.itemArray.append(json) except Exception as err: #time.sleep(4 * random.random()) logger.warning(err) except: logger.warning('Unfortunitely -- An Unknow Error Happened, Please wait 3 seconds') time.sleep(random.random()) ret_code = -1 ret_data = '' finally: res.close() return page + 1,'' @retry() def get_content(self, url, enco): content = '' ret = -1 urlExist = self.mongodbutil.urlIsExist(url) if urlExist: logger.info('This url:{} has existed'.format(url)) return -2, content header = { 'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.102 Safari/537.36'} try: res = requests.get(url, headers=header, timeout=60) res.encoding = enco res.raise_for_status() if res.status_code == 200: soup = bs4.BeautifulSoup(res.text, 'lxml') elems = soup.select('#artibody,.entry-content') if len(elems) > 0: content = elems[0].getText() ret = 0 except Exception as err: #time.sleep(4 * random.random()) logger.warning(err) except requests.exceptions.ConnectTimeout as err: logger.warning(err) ret_code = -1 ret_data = err except requests.exceptions.ReadTimeout as err: logger.warning(err) ret_code = -1 ret_data = err except requests.exceptions.Timeout as err: logger.warning(err) ret_code = -1 ret_data = err except: logger.warning('Unfortunitely -- An Unknow Error Happened, Please wait 3 seconds') time.sleep(random.random()) ret_code = -1 ret_data = '' finally: res.close() return ret, content def get_item_array(self): return self.itemArray def clear_item_array(self): return self.itemArray.clear()

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0.725273

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1

0

1

0

1

0

null

0

5

38d5b5d7e0f316b1f7f1295ca986e454c9184d27

222

py

Python

deepstocks/math/moving_average.py

b3h47pte/deepstocks

cbe8e4bba47eadb44f41434190acee2e1d6f8417

[ "Apache-2.0" ]

null

deepstocks/math/moving_average.py

b3h47pte/deepstocks

cbe8e4bba47eadb44f41434190acee2e1d6f8417

[ "Apache-2.0" ]

4

2021-01-28T20:07:40.000Z

2022-03-25T18:51:39.000Z

deepstocks/math/moving_average.py

b3h47pte/deepstocks

cbe8e4bba47eadb44f41434190acee2e1d6f8417

[ "Apache-2.0" ]

null

# # Utiltiies for computing the moving average. # # newVal = [(N- 1) * previousAvg + newVal] / N def smoothedMovingAverage(previousAvg, newVal, N): newVal = ((N-1) * previousAvg + newVal) / float(N) return newVal

24.666667

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222

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null

0

1

0

1

0

5

2a11456d4f9e5329f2b4c44982edaff5a6bf2ebe

102

py

Python

dev/Gems/CloudGemMetric/v1/AWS/python/windows/Lib/pandas/stats/api.py

jeikabu/lumberyard

07228c605ce16cbf5aaa209a94a3cb9d6c1a4115

[ "AML" ]

18

2018-02-23T11:28:54.000Z

2021-09-23T08:19:54.000Z

dev/Gems/CloudGemMetric/v1/AWS/python/windows/Lib/pandas/stats/api.py

jeikabu/lumberyard

07228c605ce16cbf5aaa209a94a3cb9d6c1a4115

[ "AML" ]

2

2018-01-22T23:21:36.000Z

2018-01-22T23:31:27.000Z

dev/Gems/CloudGemMetric/v1/AWS/python/windows/Lib/pandas/stats/api.py

jeikabu/lumberyard

07228c605ce16cbf5aaa209a94a3cb9d6c1a4115

[ "AML" ]

12

2017-05-23T06:01:12.000Z

2021-08-16T05:09:46.000Z

""" Common namespace of statistical functions """ # flake8: noqa from pandas.stats.moments import *

12.75

41

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12

102

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0.156863

102

7

42

14.571429

0.860465

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0

1

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true

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1

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null

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null

0

1

0

1

0

1

0

5

aa7a8ea05dd8e1b66ceb006b968f214a152a1564

6,160

py

Python

lte/gateway/python/magma/pipelined/tests/test_uplink_bridge.py

kyaaqba/magma

fdb7be22a2076f9a9b158c9670a9af6cad68b85f

[ "BSD-3-Clause" ]

null

lte/gateway/python/magma/pipelined/tests/test_uplink_bridge.py

kyaaqba/magma

fdb7be22a2076f9a9b158c9670a9af6cad68b85f

[ "BSD-3-Clause" ]

10

2021-03-31T20:19:00.000Z

2022-02-19T07:09:57.000Z

lte/gateway/python/magma/pipelined/tests/test_uplink_bridge.py

119Vik/magma-1

107a7b374466a837fc0a49b283ba9d6ff1d702e3

[ "BSD-3-Clause" ]

3

2020-08-20T18:45:34.000Z

2020-08-20T20:18:42.000Z

""" Copyright (c) 2020-present, Facebook, Inc. All rights reserved. This source code is licensed under the BSD-style license found in the LICENSE file in the root directory of this source tree. An additional grant of patent rights can be found in the PATENTS file in the same directory. """ import unittest import warnings from concurrent.futures import Future from magma.pipelined.tests.app.start_pipelined import ( TestSetup, PipelinedController, ) from magma.pipelined.bridge_util import BridgeTools from magma.pipelined.tests.pipelined_test_util import ( start_ryu_app_thread, stop_ryu_app_thread, create_service_manager, assert_bridge_snapshot_match, ) class UplinkBridgeTest(unittest.TestCase): BRIDGE = 'testing_br' MAC_DEST = "5e:cc:cc:b1:49:4b" BRIDGE_IP = '192.168.128.1' UPLINK_BRIDGE = 'up_br0' @classmethod def setUpClass(cls): """ Starts the thread which launches ryu apps Create a testing bridge, add a port, setup the port interfaces. Then launch the ryu apps for testing pipelined. Gets the references to apps launched by using futures. """ super(UplinkBridgeTest, cls).setUpClass() warnings.simplefilter('ignore') cls.service_manager = create_service_manager([]) uplink_bridge_controller_reference = Future() testing_controller_reference = Future() test_setup = TestSetup( apps=[PipelinedController.UplinkBridge, PipelinedController.Testing, PipelinedController.StartupFlows], references={ PipelinedController.UplinkBridge: uplink_bridge_controller_reference, PipelinedController.Testing: testing_controller_reference, PipelinedController.StartupFlows: Future(), }, config={ 'bridge_name': cls.BRIDGE, 'bridge_ip_address': cls.BRIDGE_IP, 'ovs_gtp_port_number': 32768, 'clean_restart': True, 'enable_nat': True, }, mconfig=None, loop=None, service_manager=cls.service_manager, integ_test=False, ) BridgeTools.create_bridge(cls.BRIDGE, cls.BRIDGE) BridgeTools.create_bridge(cls.UPLINK_BRIDGE, cls.UPLINK_BRIDGE) cls.thread = start_ryu_app_thread(test_setup) cls.uplink_br_controller = uplink_bridge_controller_reference.result() cls.testing_controller = testing_controller_reference.result() @classmethod def tearDownClass(cls): stop_ryu_app_thread(cls.thread) BridgeTools.destroy_bridge(cls.BRIDGE) BridgeTools.destroy_bridge(cls.UPLINK_BRIDGE) def testFlowSnapshotMatch(self): assert_bridge_snapshot_match(self, self.UPLINK_BRIDGE, self.service_manager) class UplinkBridgeWithNonNATTest(unittest.TestCase): BRIDGE = 'testing_br' MAC_DEST = "5e:cc:cc:b1:49:4b" BRIDGE_IP = '192.168.128.1' UPLINK_BRIDGE = 'up_br0' UPLINK_DHCP = 'test_dhcp0' UPLINK_PATCH = 'test_patch_p2' UPLINK_ETH_PORT = 'test_eth3' @classmethod def setUpClass(cls): """ Starts the thread which launches ryu apps Create a testing bridge, add a port, setup the port interfaces. Then launch the ryu apps for testing pipelined. Gets the references to apps launched by using futures. """ super(UplinkBridgeWithNonNATTest, cls).setUpClass() warnings.simplefilter('ignore') cls.service_manager = create_service_manager([]) uplink_bridge_controller_reference = Future() testing_controller_reference = Future() test_setup = TestSetup( apps=[PipelinedController.UplinkBridge, PipelinedController.Testing, PipelinedController.StartupFlows], references={ PipelinedController.UplinkBridge: uplink_bridge_controller_reference, PipelinedController.Testing: testing_controller_reference, PipelinedController.StartupFlows: Future(), }, config={ 'bridge_name': cls.BRIDGE, 'bridge_ip_address': cls.BRIDGE_IP, 'ovs_gtp_port_number': 32768, 'clean_restart': True, 'enable_nat': False, 'uplink_bridge': cls.UPLINK_BRIDGE, 'uplink_eth_port_name': cls.UPLINK_ETH_PORT, 'virtual_mac': '02:bb:5e:36:06:4b', 'uplink_patch': cls.UPLINK_PATCH, 'uplink_dhcp_port': cls.UPLINK_DHCP, }, mconfig=None, loop=None, service_manager=cls.service_manager, integ_test=False, ) BridgeTools.create_bridge(cls.BRIDGE, cls.BRIDGE) # dummy uplink interface BridgeTools.create_bridge(cls.UPLINK_BRIDGE, cls.UPLINK_BRIDGE) BridgeTools.create_internal_iface(cls.UPLINK_BRIDGE, cls.UPLINK_DHCP, None) BridgeTools.create_internal_iface(cls.UPLINK_BRIDGE, cls.UPLINK_PATCH, None) BridgeTools.create_internal_iface(cls.UPLINK_BRIDGE, cls.UPLINK_ETH_PORT, None) cls.thread = start_ryu_app_thread(test_setup) cls.uplink_br_controller = uplink_bridge_controller_reference.result() cls.testing_controller = testing_controller_reference.result() @classmethod def tearDownClass(cls): stop_ryu_app_thread(cls.thread) BridgeTools.destroy_bridge(cls.BRIDGE) BridgeTools.destroy_bridge(cls.UPLINK_BRIDGE) def testFlowSnapshotMatch(self): # time.sleep(100) assert_bridge_snapshot_match(self, self.UPLINK_BRIDGE, self.service_manager, include_stats=False) if __name__ == "__main__": unittest.main()

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1

0.047244

false

0

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0

0.19685

0

null

0

1

0

null

0

5

aa8884e4d257627c00be8a44b2576b63fde32ff2

89

py

Python

LibsRobotics/__init__.py

michalnand/libs_robotics

815748c46e88accfa8c97b4b9aba5fa19daca50b

[ "MIT" ]

null

LibsRobotics/__init__.py

michalnand/libs_robotics

815748c46e88accfa8c97b4b9aba5fa19daca50b

[ "MIT" ]

null

LibsRobotics/__init__.py

michalnand/libs_robotics

815748c46e88accfa8c97b4b9aba5fa19daca50b

[ "MIT" ]

null

from .common.MapGrid import * from .localisation.ParticleFilter import *

44.5

44

0.662921

8

89

7.375

0.75

0

0.269663

89

2

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44.5

0.907692

0

1

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true

0

1

0

1

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0

1

0

null

0

1

0

1

0

1

0

5

aaa66afc2f7931cfff392787190426f2579d3cba

160

py

Python

finper/admin.py

vamosviendo/djangofinper

8bd4ceb2c66d25cbb7b248fd6d713189cc6ac9fb

[ "BSD-3-Clause" ]

null

finper/admin.py

vamosviendo/djangofinper

8bd4ceb2c66d25cbb7b248fd6d713189cc6ac9fb

[ "BSD-3-Clause" ]

null

finper/admin.py

vamosviendo/djangofinper

8bd4ceb2c66d25cbb7b248fd6d713189cc6ac9fb

[ "BSD-3-Clause" ]

null

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

22.857143

37

0.8125

22

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5.909091

0.545455

0.138462

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7

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22.857143

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0.1625

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aab38362d5c1742e391965d30c2412ace4eb1a7a

1,362

py

Python

tests/routes/test_helpers/recipes_helper.py

f-i-l-i-p/recipes-backend

bcfc1a188361582024447d2e8103dfcdfda612a4

[ "MIT" ]

null

tests/routes/test_helpers/recipes_helper.py

f-i-l-i-p/recipes-backend

bcfc1a188361582024447d2e8103dfcdfda612a4

[ "MIT" ]

null

tests/routes/test_helpers/recipes_helper.py

f-i-l-i-p/recipes-backend

bcfc1a188361582024447d2e8103dfcdfda612a4

[ "MIT" ]

null

import json from tests.routes.test_helpers.route_test_case import RouteTestCase from server.database.models import Recipe, User def create_recipe_ingredients(): ingredients = [{ "name": "test", "unit": "kg", "quantity": 4 }] * 100 return json.dumps(ingredients) def create_recipe_instructions(): instructions = ["instruction"] * 100 return json.dumps(instructions) def create_recipe_image(): # Data URI to a 2x2 pixels jpg image return "data:image/jpeg;base64,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"

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null

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5

2abf533d66ea53f13b65d01899e7f811ec14a785

128

py

Python

src/demo/__init__.py

shehancaldera/baxter_pick_and_place

e6f6b7decf5bee0b3b757b4dd7326c97115b6e38

[ "BSD-2-Clause" ]

6

2018-12-15T15:08:45.000Z

2020-10-24T05:57:59.000Z

src/demo/__init__.py

BRML/baxter_pick_and_place

b9faf285bcbeb0cbadac59c34d016838b26d1fe4

[ "BSD-2-Clause" ]

null

src/demo/__init__.py

BRML/baxter_pick_and_place

b9faf285bcbeb0cbadac59c34d016838b26d1fe4

[ "BSD-2-Clause" ]

4

2016-12-14T17:44:43.000Z

2020-01-07T06:58:16.000Z

# -*- coding: utf-8 -*- """Module for implementing demonstration procedure.""" from joint_pick_and_place import PickAndPlace

18.285714

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5

2aca77b163255e1877734b2d8767a895d8d49b92

46

py

Python

example/marketprice/messages/shark/__init__.py

jcoates/avro2py

410bd4da92bd2673c616dfb02ba6db6f8af4ab95

[ "MIT" ]

2

2020-12-08T00:23:48.000Z

2021-09-29T07:43:49.000Z

example/marketprice/messages/shark/__init__.py

jcoates/avro2py

410bd4da92bd2673c616dfb02ba6db6f8af4ab95

[ "MIT" ]

8

2020-12-02T22:36:38.000Z

2021-12-02T17:48:03.000Z

example/marketprice/messages/shark/__init__.py

jcoates/avro2py

410bd4da92bd2673c616dfb02ba6db6f8af4ab95

[ "MIT" ]

4

2021-03-10T19:52:29.000Z

2021-12-10T12:02:26.000Z

"""`marketprice.messages.shark` namespace."""

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null

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5

2ad001c1355f7f025958d89644fdafafddafb94c

128

py

Python

Aw/Rpyc/test_aw.py

StarryHome/MultiToolsPlatform

2bd2b7e0700dbf542f0272ece3590a4afde328a4

[ "MIT" ]

null

Aw/Rpyc/test_aw.py

StarryHome/MultiToolsPlatform

2bd2b7e0700dbf542f0272ece3590a4afde328a4

[ "MIT" ]

null

Aw/Rpyc/test_aw.py

StarryHome/MultiToolsPlatform

2bd2b7e0700dbf542f0272ece3590a4afde328a4

[ "MIT" ]

null

# -*- coding: utf-8 -*- class TestAw(object): def __init__(self): pass def show(self): print('show')

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5

2ae63f3b738899070bc7130fe31e210842498b70

17,303

py

Python

tests/BundleInstallTest.py

mwatts15/owmeta-core

b072178f8e7b83cc8665a29f4d038554d18adc35

[ "MIT" ]

2

2021-03-06T16:25:35.000Z

2022-03-24T15:00:03.000Z

tests/BundleInstallTest.py

mwatts15/owmeta-core

b072178f8e7b83cc8665a29f4d038554d18adc35

[ "MIT" ]

39

2020-02-08T21:58:33.000Z

2022-01-03T15:28:18.000Z

tests/BundleInstallTest.py

openworm/owmeta-core

b072178f8e7b83cc8665a29f4d038554d18adc35

[ "MIT" ]

null

from collections import namedtuple import json from os import listdir, makedirs from os.path import join as p, isdir, isfile import transaction from unittest.mock import patch from tempfile import TemporaryDirectory import pytest import rdflib from rdflib.term import URIRef from owmeta_core.bundle import (Installer, Descriptor, make_include_func, FilesDescriptor, UncoveredImports, DependencyDescriptor, TargetIsNotEmpty, Remote, Bundle, BUNDLE_MANIFEST_FILE_NAME) from owmeta_core.context import IMPORTS_CONTEXT_KEY, CLASS_REGISTRY_CONTEXT_KEY from owmeta_core.context_common import CONTEXT_IMPORTS Dirs = namedtuple('Dirs', ('source_directory', 'bundles_directory')) @pytest.fixture def dirs(): with TemporaryDirectory() as source_directory,\ TemporaryDirectory() as bundles_directory: yield Dirs(source_directory, bundles_directory) def test_bundle_install_directory(dirs): d = Descriptor('test') bi = Installer(*dirs, graph=rdflib.ConjunctiveGraph()) bi.install(d) assert isdir(p(dirs.bundles_directory, 'test', '1')) def test_context_hash_file_exists(dirs): d = Descriptor('test') ctxid = 'http://example.org/ctx1' d.includes.add(make_include_func(ctxid)) g = rdflib.ConjunctiveGraph() cg = g.get_context(ctxid) cg.add((aURI('a'), aURI('b'), aURI('c'))) bi = Installer(*dirs, graph=g) bi.install(d) assert isfile(p(dirs.bundles_directory, 'test', '1', 'graphs', 'hashes')) def test_context_index_file_exists(dirs): d = Descriptor('test') ctxid = 'http://example.org/ctx1' d.includes.add(make_include_func(ctxid)) g = rdflib.ConjunctiveGraph() cg = g.get_context(ctxid) cg.add((aURI('a'), aURI('b'), aURI('c'))) bi = Installer(*dirs, graph=g) bi.install(d) assert isfile(p(dirs.bundles_directory, 'test', '1', 'graphs', 'index')) def test_context_hash_file_contains_ctxid(dirs): d = Descriptor('test') ctxid = 'http://example.org/ctx1' d.includes.add(make_include_func(ctxid)) g = rdflib.ConjunctiveGraph() cg = g.get_context(ctxid) with transaction.manager: cg.add((aURI('a'), aURI('b'), aURI('c'))) bi = Installer(*dirs, graph=g) bi.install(d) with open(p(dirs.bundles_directory, 'test', '1', 'graphs', 'hashes'), 'rb') as f: assert f.read().startswith(ctxid.encode('UTF-8')) def test_context_index_file_contains_ctxid(dirs): d = Descriptor('test') ctxid = 'http://example.org/ctx1' d.includes.add(make_include_func(ctxid)) g = rdflib.ConjunctiveGraph() cg = g.get_context(ctxid) with transaction.manager: cg.add((aURI('a'), aURI('b'), aURI('c'))) bi = Installer(*dirs, graph=g) bi.install(d) with open(p(dirs.bundles_directory, 'test', '1', 'graphs', 'index'), 'rb') as f: assert f.read().startswith(ctxid.encode('UTF-8')) def test_multiple_context_hash(dirs): d = Descriptor('test') ctxid_1 = 'http://example.org/ctx1' ctxid_2 = 'http://example.org/ctx2' d.includes.add(make_include_func(ctxid_1)) d.includes.add(make_include_func(ctxid_2)) g = rdflib.ConjunctiveGraph() cg = g.get_context(ctxid_1) with transaction.manager: cg.add((aURI('a'), aURI('b'), aURI('c'))) cg = g.get_context(ctxid_2) with transaction.manager: cg.add((aURI('a'), aURI('b'), aURI('c'))) bi = Installer(*dirs, graph=g) bi.install(d) with open(p(dirs.bundles_directory, 'test', '1', 'graphs', 'hashes'), 'rb') as f: contents = f.read() assert ctxid_1.encode('UTF-8') in contents assert ctxid_2.encode('UTF-8') in contents def test_no_dupe(dirs): ''' Test that if we have two contexts with the same contents that we don't create more than one file for it. The index will point to the same file for the two contexts ''' d = Descriptor('test') ctxid_1 = 'http://example.org/ctx1' ctxid_2 = 'http://example.org/ctx2' d.includes.add(make_include_func(ctxid_1)) d.includes.add(make_include_func(ctxid_2)) g = rdflib.ConjunctiveGraph() cg = g.get_context(ctxid_1) with transaction.manager: cg.add((aURI('a'), aURI('b'), aURI('c'))) cg = g.get_context(ctxid_2) with transaction.manager: cg.add((aURI('a'), aURI('b'), aURI('c'))) bi = Installer(*dirs, graph=g) bi.install(d) graph_files = [x for x in listdir(p(dirs.bundles_directory, 'test', '1', 'graphs')) if x.endswith('.nt')] assert len(graph_files) == 1 def test_file_copy(dirs): d = Descriptor('test') open(p(dirs[0], 'somefile'), 'w').close() d.files = FilesDescriptor() d.files.includes.add('somefile') g = rdflib.ConjunctiveGraph() bi = Installer(*dirs, graph=g) bi.install(d) bfiles = p(dirs.bundles_directory, 'test', '1', 'files') assert set(listdir(bfiles)) == set(['hashes', 'somefile']) def test_file_pattern_copy(dirs): d = Descriptor('test') open(p(dirs[0], 'somefile'), 'w').close() d.files = FilesDescriptor() d.files.patterns.add('some*') g = rdflib.ConjunctiveGraph() bi = Installer(*dirs, graph=g) bi.install(d) bfiles = p(dirs.bundles_directory, 'test', '1', 'files') assert set(listdir(bfiles)) == set(['hashes', 'somefile']) def test_file_hash(dirs): d = Descriptor('test') open(p(dirs[0], 'somefile'), 'w').close() d.files = FilesDescriptor() d.files.includes.add('somefile') g = rdflib.ConjunctiveGraph() bi = Installer(*dirs, graph=g) bi.install(d) assert isfile(p(dirs.bundles_directory, 'test', '1', 'files', 'hashes')) def test_file_hash_content(dirs): d = Descriptor('test') open(p(dirs[0], 'somefile'), 'w').close() d.files = FilesDescriptor() d.files.includes.add('somefile') g = rdflib.ConjunctiveGraph() bi = Installer(*dirs, graph=g) bi.install(d) with open(p(dirs.bundles_directory, 'test', '1', 'files', 'hashes'), 'rb') as f: contents = f.read() assert b'somefile' in contents def test_uncovered_imports(dirs): ''' If we have imports and no dependencies, then thrown an exception if we have not included them in the bundle ''' imports_ctxid = 'http://example.org/imports' ctxid_1 = 'http://example.org/ctx1' ctxid_2 = 'http://example.org/ctx2' # Make a descriptor that includes ctx1 and the imports, but not ctx2 d = Descriptor('test') d.includes.add(make_include_func(ctxid_1)) # Add some triples so the contexts aren't empty -- we can't save an empty context g = rdflib.ConjunctiveGraph() cg_1 = g.get_context(ctxid_1) cg_2 = g.get_context(ctxid_2) cg_imp = g.get_context(imports_ctxid) with transaction.manager: cg_1.add((aURI('a'), aURI('b'), aURI('c'))) cg_2.add((aURI('d'), aURI('e'), aURI('f'))) cg_imp.add((URIRef(ctxid_1), CONTEXT_IMPORTS, URIRef(ctxid_2))) bi = Installer(*dirs, imports_ctx=imports_ctxid, graph=g) with pytest.raises(UncoveredImports): bi.install(d) def test_imports_are_included(dirs): ''' If we have imports and no dependencies, then thrown an exception if we have not included them in the bundle ''' imports_ctxid = 'http://example.org/imports' ctxid_1 = 'http://example.org/ctx1' ctxid_2 = 'http://example.org/ctx2' # Make a descriptor that includes ctx1 and the imports, but not ctx2 d = Descriptor('test') d.includes.add(make_include_func(ctxid_1)) d.includes.add(make_include_func(ctxid_2)) # Add some triples so the contexts aren't empty -- we can't save an empty context g = rdflib.ConjunctiveGraph() cg_1 = g.get_context(ctxid_1) cg_2 = g.get_context(ctxid_2) cg_imp = g.get_context(imports_ctxid) with transaction.manager: cg_1.add((aURI('a'), aURI('b'), aURI('c'))) cg_2.add((aURI('d'), aURI('e'), aURI('f'))) cg_imp.add((URIRef(ctxid_1), CONTEXT_IMPORTS, URIRef(ctxid_2))) bi = Installer(*dirs, imports_ctx=imports_ctxid, graph=g) bi.install(d) with Bundle(d.id, dirs.bundles_directory) as bnd: g = bnd.rdf.get_context(bnd.conf[IMPORTS_CONTEXT_KEY]) assert (URIRef(ctxid_1), CONTEXT_IMPORTS, URIRef(ctxid_2)) in g def test_unrelated_imports_excluded(dirs): imports_ctxid = 'http://example.org/imports' ctxid_1 = 'http://example.org/ctx1' ctxid_2 = 'http://example.org/ctx2' ctxid_3 = 'http://example.org/ctx3' ctxid_4 = 'http://example.org/ctx4' # Make a descriptor that includes ctx1 and the imports, but not ctx2 d = Descriptor('test') d.includes.add(make_include_func(ctxid_1)) d.includes.add(make_include_func(ctxid_2)) # Add some triples so the contexts aren't empty -- we can't save an empty context g = rdflib.ConjunctiveGraph() cg_1 = g.get_context(ctxid_1) cg_2 = g.get_context(ctxid_2) cg_3 = g.get_context(ctxid_3) cg_4 = g.get_context(ctxid_4) cg_imp = g.get_context(imports_ctxid) with transaction.manager: cg_1.add((aURI('a'), aURI('b'), aURI('c'))) cg_2.add((aURI('d'), aURI('e'), aURI('f'))) cg_3.add((aURI('g'), aURI('h'), aURI('i'))) cg_4.add((aURI('j'), aURI('k'), aURI('l'))) cg_imp.add((URIRef(ctxid_1), CONTEXT_IMPORTS, URIRef(ctxid_2))) cg_imp.add((URIRef(ctxid_3), CONTEXT_IMPORTS, URIRef(ctxid_4))) bi = Installer(*dirs, imports_ctx=imports_ctxid, graph=g) bi.install(d) with Bundle(d.id, dirs.bundles_directory) as bnd: g = bnd.rdf.get_context(bnd.conf[IMPORTS_CONTEXT_KEY]) assert (URIRef(ctxid_3), CONTEXT_IMPORTS, URIRef(ctxid_4)) not in g def test_imports_in_dependencies(dirs): ''' If we have imports and a dependency includes the context, then we shouldn't have an error. Versioned bundles are assumed to be immutable, so we won't re-fetch a bundle already in the local index ''' imports_ctxid = 'http://example.org/imports' ctxid_1 = 'http://example.org/ctx1' ctxid_2 = 'http://example.org/ctx2' # Make a descriptor that includes ctx1 and the imports, but not ctx2 d = Descriptor('test') d.includes.add(make_include_func(ctxid_1)) d.includes.add(make_include_func(imports_ctxid)) d.dependencies.add(DependencyDescriptor('dep')) dep_d = Descriptor('dep') dep_d.includes.add(make_include_func(ctxid_2)) # Add some triples so the contexts aren't empty -- we can't save an empty context g = rdflib.ConjunctiveGraph() cg_1 = g.get_context(ctxid_1) cg_2 = g.get_context(ctxid_2) cg_imp = g.get_context(imports_ctxid) with transaction.manager: cg_1.add((aURI('a'), aURI('b'), aURI('c'))) cg_2.add((aURI('d'), aURI('e'), aURI('f'))) cg_imp.add((URIRef(ctxid_1), CONTEXT_IMPORTS, URIRef(ctxid_2))) bi = Installer(*dirs, imports_ctx=imports_ctxid, graph=g) bi.install(dep_d) bi.install(d) def test_imports_in_unfetched_dependencies(dirs): ''' If we have imports and a dependency includes the context, then we shouldn't have an error. Versioned bundles are assumed to be immutable, so we won't re-fetch a bundle already in the local index ''' imports_ctxid = 'http://example.org/imports' ctxid_1 = 'http://example.org/ctx1' ctxid_2 = 'http://example.org/ctx2' # Make a descriptor that includes ctx1 and the imports, but not ctx2 d = Descriptor('test') d.includes.add(make_include_func(ctxid_1)) d.includes.add(make_include_func(imports_ctxid)) d.dependencies.add(DependencyDescriptor('dep')) dep_d = Descriptor('dep') dep_d.includes.add(make_include_func(ctxid_2)) # Add some triples so the contexts aren't empty -- we can't save an empty context g = rdflib.ConjunctiveGraph() cg_1 = g.get_context(ctxid_1) cg_2 = g.get_context(ctxid_2) cg_imp = g.get_context(imports_ctxid) cg_1.add((URIRef('http://example.com/a'), URIRef('http://example.com/b'), URIRef('http://example.com/c'))) cg_2.add((URIRef('http://example.com/d'), URIRef('http://example.com/e'), URIRef('http://example.com/f'))) cg_imp.add((URIRef(ctxid_1), CONTEXT_IMPORTS, URIRef(ctxid_2))) class loader_class(object): def __init__(self, *args): self.bi = None def can_load(self, *args): return True def can_load_from(self, *args): return True def bundle_versions(self, *args): return [1] def __call__(self, *args): self.bi.install(dep_d) loader = loader_class() class remote_class(Remote): def generate_loaders(self, *args): yield loader bi = Installer(*dirs, imports_ctx=imports_ctxid, graph=g, remotes=[remote_class('remote')]) loader.bi = bi with patch('owmeta_core.bundle.LOADER_CLASSES', (loader_class,)): bi.install(d) def test_imports_in_transitive_dependency_not_included(dirs): ''' If we have imports and a transitive dependency includes the context, then we should still have an error. Versioned bundles are assumed to be immutable, so we won't re-fetch a bundle already in the local index ''' imports_ctxid = 'http://example.org/imports' ctxid_1 = 'http://example.org/ctx1' ctxid_2 = 'http://example.org/ctx2' # Make a descriptor that includes ctx1 and the imports, but not ctx2 d = Descriptor('test') d.includes.add(make_include_func(ctxid_1)) d.includes.add(make_include_func(imports_ctxid)) d.dependencies.add(DependencyDescriptor('dep')) dep_d = Descriptor('dep') dep_d.dependencies.add(DependencyDescriptor('dep_dep')) dep_dep_d = Descriptor('dep_dep') dep_dep_d.includes.add(make_include_func(ctxid_2)) # Add some triples so the contexts aren't empty -- we can't save an empty context g = rdflib.ConjunctiveGraph() cg_1 = g.get_context(ctxid_1) cg_2 = g.get_context(ctxid_2) cg_imp = g.get_context(imports_ctxid) cg_1.add((aURI('a'), aURI('b'), aURI('c'))) cg_2.add((aURI('d'), aURI('e'), aURI('f'))) cg_imp.add((URIRef(ctxid_1), CONTEXT_IMPORTS, URIRef(ctxid_2))) bi = Installer(*dirs, imports_ctx=imports_ctxid, graph=g) bi.install(dep_dep_d) bi.install(dep_d) with pytest.raises(UncoveredImports): bi.install(d) def test_class_registry_in_manifest(dirs): ''' If a class registry context is specified, then include it ''' cr_ctxid = 'http://example.org/class_registry' # Make a descriptor that includes ctx1 and the imports, but not ctx2 d = Descriptor('test') # Add some triples so the contexts aren't empty -- we can't save an empty context g = rdflib.ConjunctiveGraph() bi = Installer(*dirs, class_registry_ctx=cr_ctxid, graph=g) bdir = bi.install(d) with open(p(bdir, BUNDLE_MANIFEST_FILE_NAME)) as mf: manifest_data = json.load(mf) assert manifest_data[CLASS_REGISTRY_CONTEXT_KEY] def test_class_registry_contents(dirs): ''' If a class registry context is specified, then include it ''' cr_ctxid = 'http://example.org/class_registry' # Make a descriptor that includes ctx1 and the imports, but not ctx2 d = Descriptor('test') # Add some triples so the contexts aren't empty -- we can't save an empty context g = rdflib.ConjunctiveGraph() cg_cr = g.get_context(cr_ctxid) with transaction.manager: cg_cr.add((aURI('blah'), aURI('bruh'), aURI('uhhhh'))) bi = Installer(*dirs, class_registry_ctx=cr_ctxid, graph=g) bi.install(d) with Bundle(d.id, dirs.bundles_directory) as bnd: g = bnd.rdf.get_context(bnd.conf[CLASS_REGISTRY_CONTEXT_KEY]) assert (aURI('blah'), aURI('bruh'), aURI('uhhhh')) in g def test_fail_on_non_empty_target(dirs): d = Descriptor('test') g = rdflib.ConjunctiveGraph() bi = Installer(*dirs, graph=g) bundles_directory = dirs[1] sma = p(bundles_directory, 'test', '1', 'blah') makedirs(sma) with pytest.raises(TargetIsNotEmpty): bi.install(d) def test_dependency_version_in_manifest_without_spec(dirs): ''' It is permitted to not specify the version of a bundle dependency in the descriptor, but we must pin a specific version of the bundle in the manifest. ''' ctxid_1 = 'http://example.org/ctx1' ctxid_2 = 'http://example.org/ctx2' # Make a descriptor that includes ctx1 and the imports, but not ctx2 d = Descriptor('test') d.includes.add(make_include_func(ctxid_1)) d.dependencies.add(DependencyDescriptor('dep')) dep_d = Descriptor('dep') dep_d.includes.add(make_include_func(ctxid_2)) # Add some triples so the contexts aren't empty -- we can't save an empty context g = rdflib.ConjunctiveGraph() cg_1 = g.get_context(ctxid_1) cg_2 = g.get_context(ctxid_2) cg_1.add((aURI('a'), aURI('b'), aURI('c'))) cg_2.add((aURI('d'), aURI('e'), aURI('f'))) bi = Installer(*dirs, graph=g) bi.install(dep_d) bi.install(d) test_bnd = Bundle('test', bundles_directory=dirs.bundles_directory) assert test_bnd.manifest_data['dependencies'][0]['version'] == 1 def aURI(c): return URIRef(f'http://example.org/uri#{c}')

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pysptools/distance/__init__.py

ctherien/pysptools

fbcd3ecaa7ab27f0158b28b4327537c3e75db160

[ "Apache-2.0" ]

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2016-03-20T15:25:07.000Z

2022-03-29T04:05:56.000Z

pysptools/distance/__init__.py

ctherien/pysptools

fbcd3ecaa7ab27f0158b28b4327537c3e75db160

[ "Apache-2.0" ]

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2016-03-24T13:38:52.000Z

2021-04-06T07:11:19.000Z

pysptools/distance/__init__.py

ctherien/pysptools

fbcd3ecaa7ab27f0158b28b4327537c3e75db160

[ "Apache-2.0" ]

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2016-03-21T17:26:46.000Z

2022-01-18T08:39:27.000Z

""" """ from .dist import SAM, SID, chebyshev, NormXCorr, classify

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Python

mayan/apps/common/tests/__init__.py

eshbeata/open-paperless

6b9ed1f21908116ad2795b3785b2dbd66713d66e

[ "Apache-2.0" ]

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2017-12-18T07:12:30.000Z

2022-03-27T17:21:25.000Z

mayan/apps/common/tests/__init__.py

kyper999/mayan-edms

ca7b8301a1f68548e8e718d42a728a500d67286e

[ "Apache-2.0" ]

15

2020-06-06T00:00:48.000Z

2022-03-12T00:03:54.000Z

mayan/apps/common/tests/__init__.py

kyper999/mayan-edms

ca7b8301a1f68548e8e718d42a728a500d67286e

[ "Apache-2.0" ]

257

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2022-03-25T08:59:10.000Z

from .base import BaseTestCase # NOQA from .decorators import skip_file_descriptor_check # NOQA

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starboard/__init__.py

notodinair/RedV3-Cogs

47747ccc33617dcaa3851ff12c6f95aee675d1e6

[ "MIT" ]

1

2020-06-08T13:39:30.000Z

starboard/__init__.py

Tominous/Swift-Cogs

47747ccc33617dcaa3851ff12c6f95aee675d1e6

[ "MIT" ]

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starboard/__init__.py

Tominous/Swift-Cogs

47747ccc33617dcaa3851ff12c6f95aee675d1e6

[ "MIT" ]

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2020-06-08T13:39:32.000Z

from redbot.core.bot import Red from starboard.starboard import Starboard def setup(bot: Red): bot.add_cog(Starboard(bot))

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route_dynamics/__init__.py

EricaEgg/Route_Dynamics

ebb34bb29042629ef95d46e155233d2d603f6a7a

[ "MIT" ]

null

route_dynamics/__init__.py

EricaEgg/Route_Dynamics

ebb34bb29042629ef95d46e155233d2d603f6a7a

[ "MIT" ]

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2019-03-22T03:43:54.000Z

route_dynamics/__init__.py

EricaEgg/Route_Dynamics

ebb34bb29042629ef95d46e155233d2d603f6a7a

[ "MIT" ]

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2019-02-28T23:37:19.000Z

2021-02-06T23:27:26.000Z

#from .base import * #from .single_route import * #from .multiple_route import *

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033_Hand_Detection_and_Tracking/01_float32/12_new_hand_landmark_tflite2h5_weight_int_fullint_float16_quant.py

IgiArdiyanto/PINTO_model_zoo

9247b56a7dff37f28a8a7822a7ef4dd9adf7234d

[ "MIT" ]

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2019-12-11T13:36:23.000Z

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033_Hand_Detection_and_Tracking/01_float32/12_new_hand_landmark_tflite2h5_weight_int_fullint_float16_quant.py

IgiArdiyanto/PINTO_model_zoo

9247b56a7dff37f28a8a7822a7ef4dd9adf7234d

[ "MIT" ]

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2020-01-06T09:24:42.000Z

2022-03-31T17:29:08.000Z

033_Hand_Detection_and_Tracking/01_float32/12_new_hand_landmark_tflite2h5_weight_int_fullint_float16_quant.py

IgiArdiyanto/PINTO_model_zoo

9247b56a7dff37f28a8a7822a7ef4dd9adf7234d

[ "MIT" ]

288

2020-02-21T14:56:02.000Z

2022-03-30T03:00:35.000Z

### tensorflow==2.3.0 ### https://ai.googleblog.com/2020/08/on-device-real-time-body-pose-tracking.html ### https://google.github.io/mediapipe/solutions/pose ### https://www.tensorflow.org/api_docs/python/tf/keras/Model ### https://www.tensorflow.org/lite/guide/ops_compatibility ### https://www.tensorflow.org/api_docs/python/tf/keras/layers/Conv2D ### https://www.tensorflow.org/api_docs/python/tf/keras/layers/DepthwiseConv2D ### https://www.tensorflow.org/api_docs/python/tf/keras/layers/Add ### https://www.tensorflow.org/api_docs/python/tf/keras/layers/ReLU ### https://www.tensorflow.org/api_docs/python/tf/keras/layers/MaxPool2D ### https://www.tensorflow.org/api_docs/python/tf/keras/layers/Reshape ### https://www.tensorflow.org/api_docs/python/tf/keras/layers/Concatenate ### https://www.tensorflow.org/api_docs/python/tf/keras/layers/Layer ### How to initialize a convolution layer with an arbitrary kernel in Keras? https://stackoverrun.com/ja/q/12269118 ### saved_model_cli show --dir saved_model_hand_landmark_new/ --tag_set serve --signature_def serving_default import tensorflow as tf import tensorflow_datasets as tfds from tensorflow.keras import Model, Input from tensorflow.keras.layers import Conv2D, DepthwiseConv2D, Add, ReLU, MaxPool2D, Reshape, Concatenate, Layer from tensorflow.keras.initializers import Constant from tensorflow.python.framework.convert_to_constants import convert_variables_to_constants_v2 import numpy as np import sys # tmp = np.load('weights/depthwise_conv2d_Kernel') # print(tmp.shape) # print(tmp) # def init_f(shape, dtype=None): # ker = np.load('weights/depthwise_conv2d_Kernel') # print(shape) # return ker # sys.exit(0) inputs = Input(shape=(256, 256, 3), name='input') # Block_01 conv1_1 = Conv2D(filters=24, kernel_size=[3, 3], strides=[2, 2], padding="same", dilation_rate=[1, 1], activation='relu', kernel_initializer=Constant(np.load('weights_new/conv2d_Kernel').transpose(1,2,3,0)), bias_initializer=Constant(np.load('weights_new/conv2d_Bias')))(inputs) depthconv1_1 = DepthwiseConv2D(kernel_size=[5, 5], strides=[1, 1], padding="same", depth_multiplier=1, dilation_rate=[1, 1], depthwise_initializer=Constant(np.load('weights_new/depthwise_conv2d_Kernel')), bias_initializer=Constant(np.load('weights_new/depthwise_conv2d_Bias')))(conv1_1) conv1_2 = Conv2D(filters=24, kernel_size=[1, 1], strides=[1, 1], padding="valid", dilation_rate=[1, 1], kernel_initializer=Constant(np.load('weights_new/conv2d_1_Kernel').transpose(1,2,3,0)), bias_initializer=Constant(np.load('weights_new/conv2d_1_Bias')))(depthconv1_1) add1_1 = Add()([conv1_1, conv1_2]) relu1_1 = ReLU()(add1_1) # Block_02 depthconv2_1 = DepthwiseConv2D(kernel_size=[5, 5], strides=[1, 1], padding="same", depth_multiplier=1, dilation_rate=[1, 1], depthwise_initializer=Constant(np.load('weights_new/depthwise_conv2d_1_Kernel')), bias_initializer=Constant(np.load('weights_new/depthwise_conv2d_1_Bias')))(relu1_1) conv2_1 = Conv2D(filters=24, kernel_size=[1, 1], strides=[1, 1], padding="valid", dilation_rate=[1, 1], kernel_initializer=Constant(np.load('weights_new/conv2d_2_Kernel').transpose(1,2,3,0)), bias_initializer=Constant(np.load('weights_new/conv2d_2_Bias')))(depthconv2_1) add2_1 = Add()([relu1_1, conv2_1]) relu2_1 = ReLU()(add2_1) # Block_03 depthconv3_1 = DepthwiseConv2D(kernel_size=[5, 5], strides=[2, 2], padding="same", depth_multiplier=1, dilation_rate=[1, 1], depthwise_initializer=Constant(np.load('weights_new/depthwise_conv2d_2_Kernel')), bias_initializer=Constant(np.load('weights_new/depthwise_conv2d_2_Bias')))(relu2_1) conv3_1 = Conv2D(filters=48, kernel_size=[1, 1], strides=[1, 1], padding="valid", dilation_rate=[1, 1], kernel_initializer=Constant(np.load('weights_new/conv2d_3_Kernel').transpose(1,2,3,0)), bias_initializer=Constant(np.load('weights_new/conv2d_3_Bias')))(depthconv3_1) maxpool3_1 = MaxPool2D(pool_size=[2, 2], strides=[2, 2], padding='valid')(relu2_1) pad3_1 = tf.pad(maxpool3_1, paddings=tf.constant(np.load('weights_new/channel_padding_Paddings'))) add3_1 = Add()([conv3_1, pad3_1]) relu3_1 = ReLU()(add3_1) # Block_04 depthconv4_1 = DepthwiseConv2D(kernel_size=[5, 5], strides=[1, 1], padding="same", depth_multiplier=1, dilation_rate=[1, 1], depthwise_initializer=Constant(np.load('weights_new/depthwise_conv2d_3_Kernel')), bias_initializer=Constant(np.load('weights_new/depthwise_conv2d_3_Bias')))(relu3_1) conv4_1 = Conv2D(filters=48, kernel_size=[1, 1], strides=[1, 1], padding="valid", dilation_rate=[1, 1], kernel_initializer=Constant(np.load('weights_new/conv2d_4_Kernel').transpose(1,2,3,0)), bias_initializer=Constant(np.load('weights_new/conv2d_4_Bias')))(depthconv4_1) add4_1 = Add()([conv4_1, relu3_1]) relu4_1 = ReLU()(add4_1) # Block_05 depthconv5_1 = DepthwiseConv2D(kernel_size=[5, 5], strides=[1, 1], padding="same", depth_multiplier=1, dilation_rate=[1, 1], depthwise_initializer=Constant(np.load('weights_new/depthwise_conv2d_4_Kernel')), bias_initializer=Constant(np.load('weights_new/depthwise_conv2d_4_Bias')))(relu4_1) conv5_1 = Conv2D(filters=48, kernel_size=[1, 1], strides=[1, 1], padding="valid", dilation_rate=[1, 1], kernel_initializer=Constant(np.load('weights_new/conv2d_5_Kernel').transpose(1,2,3,0)), bias_initializer=Constant(np.load('weights_new/conv2d_5_Bias')))(depthconv5_1) add5_1 = Add()([relu4_1, conv5_1]) relu5_1 = ReLU()(add5_1) # Block_06 depthconv6_1 = DepthwiseConv2D(kernel_size=[5, 5], strides=[2, 2], padding="same", depth_multiplier=1, dilation_rate=[1, 1], depthwise_initializer=Constant(np.load('weights_new/depthwise_conv2d_5_Kernel')), bias_initializer=Constant(np.load('weights_new/depthwise_conv2d_5_Bias')))(relu5_1) conv6_1 = Conv2D(filters=96, kernel_size=[1, 1], strides=[1, 1], padding="valid", dilation_rate=[1, 1], kernel_initializer=Constant(np.load('weights_new/conv2d_6_Kernel').transpose(1,2,3,0)), bias_initializer=Constant(np.load('weights_new/conv2d_6_Bias')))(depthconv6_1) maxpool6_1 = MaxPool2D(pool_size=[2, 2], strides=[2, 2], padding='valid')(relu5_1) pad6_1 = tf.pad(maxpool6_1, paddings=tf.constant(np.load('weights_new/channel_padding_1_Paddings'))) add6_1 = Add()([conv6_1, pad6_1]) relu6_1 = ReLU()(add6_1) # Block_07 depthconv7_1 = DepthwiseConv2D(kernel_size=[5, 5], strides=[1, 1], padding="same", depth_multiplier=1, dilation_rate=[1, 1], depthwise_initializer=Constant(np.load('weights_new/depthwise_conv2d_6_Kernel')), bias_initializer=Constant(np.load('weights_new/depthwise_conv2d_6_Bias')))(relu6_1) conv7_1 = Conv2D(filters=96, kernel_size=[1, 1], strides=[1, 1], padding="valid", dilation_rate=[1, 1], kernel_initializer=Constant(np.load('weights_new/conv2d_7_Kernel').transpose(1,2,3,0)), bias_initializer=Constant(np.load('weights_new/conv2d_7_Bias')))(depthconv7_1) add7_1 = Add()([conv7_1, relu6_1]) relu7_1 = ReLU()(add7_1) # Block_08 depthconv8_1 = DepthwiseConv2D(kernel_size=[5, 5], strides=[1, 1], padding="same", depth_multiplier=1, dilation_rate=[1, 1], depthwise_initializer=Constant(np.load('weights_new/depthwise_conv2d_7_Kernel')), bias_initializer=Constant(np.load('weights_new/depthwise_conv2d_7_Bias')))(relu7_1) conv8_1 = Conv2D(filters=96, kernel_size=[1, 1], strides=[1, 1], padding="valid", dilation_rate=[1, 1], kernel_initializer=Constant(np.load('weights_new/conv2d_8_Kernel').transpose(1,2,3,0)), bias_initializer=Constant(np.load('weights_new/conv2d_8_Bias')))(depthconv8_1) add8_1 = Add()([conv8_1, relu7_1]) relu8_1 = ReLU()(add8_1) # Block_09 depthconv9_1 = DepthwiseConv2D(kernel_size=[5, 5], strides=[2, 2], padding="same", depth_multiplier=1, dilation_rate=[1, 1], depthwise_initializer=Constant(np.load('weights_new/depthwise_conv2d_8_Kernel')), bias_initializer=Constant(np.load('weights_new/depthwise_conv2d_8_Bias')))(relu8_1) conv9_1 = Conv2D(filters=96, kernel_size=[1, 1], strides=[1, 1], padding="valid", dilation_rate=[1, 1], kernel_initializer=Constant(np.load('weights_new/conv2d_9_Kernel').transpose(1,2,3,0)), bias_initializer=Constant(np.load('weights_new/conv2d_9_Bias')))(depthconv9_1) maxpool9_1 = MaxPool2D(pool_size=[2, 2], strides=[2, 2], padding='valid')(relu8_1) add9_1 = Add()([conv9_1, maxpool9_1]) relu9_1 = ReLU()(add9_1) # Block_10 depthconv10_1 = DepthwiseConv2D(kernel_size=[5, 5], strides=[1, 1], padding="same", depth_multiplier=1, dilation_rate=[1, 1], depthwise_initializer=Constant(np.load('weights_new/depthwise_conv2d_9_Kernel')), bias_initializer=Constant(np.load('weights_new/depthwise_conv2d_9_Bias')))(relu9_1) conv10_1 = Conv2D(filters=96, kernel_size=[1, 1], strides=[1, 1], padding="valid", dilation_rate=[1, 1], kernel_initializer=Constant(np.load('weights_new/conv2d_10_Kernel').transpose(1,2,3,0)), bias_initializer=Constant(np.load('weights_new/conv2d_10_Bias')))(depthconv10_1) add10_1 = Add()([conv10_1, relu9_1]) relu10_1 = ReLU()(add10_1) # Block_11 depthconv11_1 = DepthwiseConv2D(kernel_size=[5, 5], strides=[1, 1], padding="same", depth_multiplier=1, dilation_rate=[1, 1], depthwise_initializer=Constant(np.load('weights_new/depthwise_conv2d_10_Kernel')), bias_initializer=Constant(np.load('weights_new/depthwise_conv2d_10_Bias')))(relu10_1) conv11_1 = Conv2D(filters=96, kernel_size=[1, 1], strides=[1, 1], padding="valid", dilation_rate=[1, 1], kernel_initializer=Constant(np.load('weights_new/conv2d_11_Kernel').transpose(1,2,3,0)), bias_initializer=Constant(np.load('weights_new/conv2d_11_Bias')))(depthconv11_1) add11_1 = Add()([conv11_1, relu10_1]) relu11_1 = ReLU()(add11_1) # Block_12 depthconv12_1 = DepthwiseConv2D(kernel_size=[5, 5], strides=[2, 2], padding="same", depth_multiplier=1, dilation_rate=[1, 1], depthwise_initializer=Constant(np.load('weights_new/depthwise_conv2d_11_Kernel')), bias_initializer=Constant(np.load('weights_new/depthwise_conv2d_11_Bias')))(relu11_1) conv12_1 = Conv2D(filters=96, kernel_size=[1, 1], strides=[1, 1], padding="valid", dilation_rate=[1, 1], kernel_initializer=Constant(np.load('weights_new/conv2d_12_Kernel').transpose(1,2,3,0)), bias_initializer=Constant(np.load('weights_new/conv2d_12_Bias')))(depthconv12_1) maxpool12_1 = MaxPool2D(pool_size=[2, 2], strides=[2, 2], padding='valid')(relu11_1) add12_1 = Add()([conv12_1, maxpool12_1]) relu12_1 = ReLU()(add12_1) resize12_1 = tf.image.resize(relu12_1, np.load('weights_new/up_sampling2d_Size')) add12_2 = Add()([relu9_1, resize12_1]) # Block_13 depthconv13_1 = DepthwiseConv2D(kernel_size=[5, 5], strides=[1, 1], padding="same", depth_multiplier=1, dilation_rate=[1, 1], depthwise_initializer=Constant(np.load('weights_new/depthwise_conv2d_12_Kernel')), bias_initializer=Constant(np.load('weights_new/depthwise_conv2d_12_Bias')))(add12_2) conv13_1 = Conv2D(filters=96, kernel_size=[1, 1], strides=[1, 1], padding="valid", dilation_rate=[1, 1], kernel_initializer=Constant(np.load('weights_new/conv2d_13_Kernel').transpose(1,2,3,0)), bias_initializer=Constant(np.load('weights_new/conv2d_13_Bias')))(depthconv13_1) add13_1 = Add()([add12_2, conv13_1]) relu13_1 = ReLU()(add13_1) resize13_1 = tf.image.resize(relu13_1, np.load('weights_new/up_sampling2d_1_Size')) add13_2 = Add()([relu6_1, resize13_1]) # Block_14 depthconv14_1 = DepthwiseConv2D(kernel_size=[5, 5], strides=[1, 1], padding="same", depth_multiplier=1, dilation_rate=[1, 1], depthwise_initializer=Constant(np.load('weights_new/depthwise_conv2d_13_Kernel')), bias_initializer=Constant(np.load('weights_new/depthwise_conv2d_13_Bias')))(add13_2) conv14_1 = Conv2D(filters=96, kernel_size=[1, 1], strides=[1, 1], padding="valid", dilation_rate=[1, 1], kernel_initializer=Constant(np.load('weights_new/conv2d_14_Kernel').transpose(1,2,3,0)), bias_initializer=Constant(np.load('weights_new/conv2d_14_Bias')))(depthconv14_1) add14_1 = Add()([add13_2, conv14_1]) relu14_1 = ReLU()(add14_1) conv14_2 = Conv2D(filters=48, kernel_size=[1, 1], strides=[1, 1], padding="valid", dilation_rate=[1, 1], kernel_initializer=Constant(np.load('weights_new/conv2d_15_Kernel').transpose(1,2,3,0)), bias_initializer=Constant(np.load('weights_new/conv2d_15_Bias')))(relu14_1) resize14_1 = tf.image.resize(conv14_2, np.load('weights_new/up_sampling2d_2_Size')) relu14_2 = ReLU()(relu3_1) add14_1 = Add()([relu14_2, resize14_1]) # Block_15 depthconv15_1 = DepthwiseConv2D(kernel_size=[5, 5], strides=[1, 1], padding="same", depth_multiplier=1, dilation_rate=[1, 1], depthwise_initializer=Constant(np.load('weights_new/depthwise_conv2d_14_Kernel')), bias_initializer=Constant(np.load('weights_new/depthwise_conv2d_14_Bias')))(add14_1) conv15_1 = Conv2D(filters=48, kernel_size=[1, 1], strides=[1, 1], padding="valid", dilation_rate=[1, 1], kernel_initializer=Constant(np.load('weights_new/conv2d_16_Kernel').transpose(1,2,3,0)), bias_initializer=Constant(np.load('weights_new/conv2d_16_Bias')))(depthconv15_1) add15_1 = Add()([add14_1, conv15_1]) relu15_1 = ReLU()(add15_1) # Block_16 depthconv16_1 = DepthwiseConv2D(kernel_size=[5, 5], strides=[1, 1], padding="same", depth_multiplier=1, dilation_rate=[1, 1], depthwise_initializer=Constant(np.load('weights_new/depthwise_conv2d_15_Kernel')), bias_initializer=Constant(np.load('weights_new/depthwise_conv2d_15_Bias')))(relu15_1) conv16_1 = Conv2D(filters=48, kernel_size=[1, 1], strides=[1, 1], padding="valid", dilation_rate=[1, 1], kernel_initializer=Constant(np.load('weights_new/conv2d_17_Kernel').transpose(1,2,3,0)), bias_initializer=Constant(np.load('weights_new/conv2d_17_Bias')))(depthconv16_1) add16_1 = Add()([conv16_1, relu15_1]) relu16_1 = ReLU()(add16_1) # Block_17 depthconv17_1 = DepthwiseConv2D(kernel_size=[5, 5], strides=[1, 1], padding="same", depth_multiplier=1, dilation_rate=[1, 1], depthwise_initializer=Constant(np.load('weights_new/depthwise_conv2d_16_Kernel')), bias_initializer=Constant(np.load('weights_new/depthwise_conv2d_16_Bias')))(relu16_1) conv17_1 = Conv2D(filters=48, kernel_size=[1, 1], strides=[1, 1], padding="valid", dilation_rate=[1, 1], kernel_initializer=Constant(np.load('weights_new/conv2d_18_Kernel').transpose(1,2,3,0)), bias_initializer=Constant(np.load('weights_new/conv2d_18_Bias')))(depthconv17_1) add17_1 = Add()([conv17_1, relu16_1]) relu17_1 = ReLU()(add17_1) # Block_18 depthconv18_1 = DepthwiseConv2D(kernel_size=[5, 5], strides=[1, 1], padding="same", depth_multiplier=1, dilation_rate=[1, 1], depthwise_initializer=Constant(np.load('weights_new/depthwise_conv2d_17_Kernel')), bias_initializer=Constant(np.load('weights_new/depthwise_conv2d_17_Bias')))(relu17_1) conv18_1 = Conv2D(filters=48, kernel_size=[1, 1], strides=[1, 1], padding="valid", dilation_rate=[1, 1], kernel_initializer=Constant(np.load('weights_new/conv2d_19_Kernel').transpose(1,2,3,0)), bias_initializer=Constant(np.load('weights_new/conv2d_19_Bias')))(depthconv18_1) add18_1 = Add()([conv18_1, relu17_1]) relu18_1 = ReLU()(add18_1) # Block_19 depthconv19_1 = DepthwiseConv2D(kernel_size=[5, 5], strides=[2, 2], padding="same", depth_multiplier=1, dilation_rate=[1, 1], depthwise_initializer=Constant(np.load('weights_new/depthwise_conv2d_18_Kernel')), bias_initializer=Constant(np.load('weights_new/depthwise_conv2d_18_Bias')))(relu18_1) conv19_1 = Conv2D(filters=96, kernel_size=[1, 1], strides=[1, 1], padding="valid", dilation_rate=[1, 1], kernel_initializer=Constant(np.load('weights_new/conv2d_20_Kernel').transpose(1,2,3,0)), bias_initializer=Constant(np.load('weights_new/conv2d_20_Bias')))(depthconv19_1) maxpool19_1 = MaxPool2D(pool_size=[2, 2], strides=[2, 2], padding='valid')(relu18_1) pad19_1 = tf.pad(maxpool19_1, paddings=tf.constant(np.load('weights_new/channel_padding_2_Paddings'))) add19_1 = Add()([conv19_1, pad19_1]) relu19_1 = ReLU()(add19_1) # Block_20 depthconv20_1 = DepthwiseConv2D(kernel_size=[5, 5], strides=[1, 1], padding="same", depth_multiplier=1, dilation_rate=[1, 1], depthwise_initializer=Constant(np.load('weights_new/depthwise_conv2d_19_Kernel')), bias_initializer=Constant(np.load('weights_new/depthwise_conv2d_19_Bias')))(relu19_1) conv20_1 = Conv2D(filters=96, kernel_size=[1, 1], strides=[1, 1], padding="valid", dilation_rate=[1, 1], kernel_initializer=Constant(np.load('weights_new/conv2d_21_Kernel').transpose(1,2,3,0)), bias_initializer=Constant(np.load('weights_new/conv2d_21_Bias')))(depthconv20_1) add20_1 = Add()([relu19_1, conv20_1]) relu20_1 = ReLU()(add20_1) # Block_21 depthconv21_1 = DepthwiseConv2D(kernel_size=[5, 5], strides=[1, 1], padding="same", depth_multiplier=1, dilation_rate=[1, 1], depthwise_initializer=Constant(np.load('weights_new/depthwise_conv2d_20_Kernel')), bias_initializer=Constant(np.load('weights_new/depthwise_conv2d_20_Bias')))(relu20_1) conv21_1 = Conv2D(filters=96, kernel_size=[1, 1], strides=[1, 1], padding="valid", dilation_rate=[1, 1], kernel_initializer=Constant(np.load('weights_new/conv2d_22_Kernel').transpose(1,2,3,0)), bias_initializer=Constant(np.load('weights_new/conv2d_22_Bias')))(depthconv21_1) add21_1 = Add()([relu20_1, conv21_1]) relu21_1 = ReLU()(add21_1) # Block_22 depthconv22_1 = DepthwiseConv2D(kernel_size=[5, 5], strides=[1, 1], padding="same", depth_multiplier=1, dilation_rate=[1, 1], depthwise_initializer=Constant(np.load('weights_new/depthwise_conv2d_21_Kernel')), bias_initializer=Constant(np.load('weights_new/depthwise_conv2d_21_Bias')))(relu21_1) conv22_1 = Conv2D(filters=96, kernel_size=[1, 1], strides=[1, 1], padding="valid", dilation_rate=[1, 1], kernel_initializer=Constant(np.load('weights_new/conv2d_23_Kernel').transpose(1,2,3,0)), bias_initializer=Constant(np.load('weights_new/conv2d_23_Bias')))(depthconv22_1) add22_1 = Add()([conv22_1, relu21_1]) relu22_1 = ReLU()(add22_1) # Block_23 depthconv23_1 = DepthwiseConv2D(kernel_size=[5, 5], strides=[1, 1], padding="same", depth_multiplier=1, dilation_rate=[1, 1], depthwise_initializer=Constant(np.load('weights_new/depthwise_conv2d_22_Kernel')), bias_initializer=Constant(np.load('weights_new/depthwise_conv2d_22_Bias')))(relu22_1) conv23_1 = Conv2D(filters=96, kernel_size=[1, 1], strides=[1, 1], padding="valid", dilation_rate=[1, 1], kernel_initializer=Constant(np.load('weights_new/conv2d_24_Kernel').transpose(1,2,3,0)), bias_initializer=Constant(np.load('weights_new/conv2d_24_Bias')))(depthconv23_1) add23_1 = Add()([conv23_1, relu22_1]) relu23_1 = ReLU()(add23_1) # Block_24 depthconv24_1 = DepthwiseConv2D(kernel_size=[5, 5], strides=[2, 2], padding="same", depth_multiplier=1, dilation_rate=[1, 1], depthwise_initializer=Constant(np.load('weights_new/depthwise_conv2d_23_Kernel')), bias_initializer=Constant(np.load('weights_new/depthwise_conv2d_23_Bias')))(relu23_1) conv24_1 = Conv2D(filters=288, kernel_size=[1, 1], strides=[1, 1], padding="valid", dilation_rate=[1, 1], kernel_initializer=Constant(np.load('weights_new/conv2d_25_Kernel').transpose(1,2,3,0)), bias_initializer=Constant(np.load('weights_new/conv2d_25_Bias')))(depthconv24_1) maxpool24_1 = MaxPool2D(pool_size=[2, 2], strides=[2, 2], padding='valid')(relu23_1) pad24_1 = tf.pad(maxpool24_1, paddings=tf.constant(np.load('weights_new/channel_padding_3_Paddings'))) add24_1 = Add()([conv24_1, pad24_1]) relu24_1 = ReLU()(add24_1) # Block_25 depthconv25_1 = DepthwiseConv2D(kernel_size=[5, 5], strides=[1, 1], padding="same", depth_multiplier=1, dilation_rate=[1, 1], depthwise_initializer=Constant(np.load('weights_new/depthwise_conv2d_24_Kernel')), bias_initializer=Constant(np.load('weights_new/depthwise_conv2d_24_Bias')))(relu24_1) conv25_1 = Conv2D(filters=288, kernel_size=[1, 1], strides=[1, 1], padding="valid", dilation_rate=[1, 1], kernel_initializer=Constant(np.load('weights_new/conv2d_26_Kernel').transpose(1,2,3,0)), bias_initializer=Constant(np.load('weights_new/conv2d_26_Bias')))(depthconv25_1) add25_1 = Add()([relu24_1, conv25_1]) relu25_1 = ReLU()(add25_1) # Block_26 depthconv26_1 = DepthwiseConv2D(kernel_size=[5, 5], strides=[1, 1], padding="same", depth_multiplier=1, dilation_rate=[1, 1], depthwise_initializer=Constant(np.load('weights_new/depthwise_conv2d_25_Kernel')), bias_initializer=Constant(np.load('weights_new/depthwise_conv2d_25_Bias')))(relu25_1) conv26_1 = Conv2D(filters=288, kernel_size=[1, 1], strides=[1, 1], padding="valid", dilation_rate=[1, 1], kernel_initializer=Constant(np.load('weights_new/conv2d_27_Kernel').transpose(1,2,3,0)), bias_initializer=Constant(np.load('weights_new/conv2d_27_Bias')))(depthconv26_1) add26_1 = Add()([relu25_1, conv26_1]) relu26_1 = ReLU()(add26_1) # Block_27 depthconv27_1 = DepthwiseConv2D(kernel_size=[5, 5], strides=[1, 1], padding="same", depth_multiplier=1, dilation_rate=[1, 1], depthwise_initializer=Constant(np.load('weights_new/depthwise_conv2d_26_Kernel')), bias_initializer=Constant(np.load('weights_new/depthwise_conv2d_26_Bias')))(relu26_1) conv27_1 = Conv2D(filters=288, kernel_size=[1, 1], strides=[1, 1], padding="valid", dilation_rate=[1, 1], kernel_initializer=Constant(np.load('weights_new/conv2d_28_Kernel').transpose(1,2,3,0)), bias_initializer=Constant(np.load('weights_new/conv2d_28_Bias')))(depthconv27_1) add27_1 = Add()([conv27_1, relu26_1]) relu27_1 = ReLU()(add27_1) # Block_28 depthconv28_1 = DepthwiseConv2D(kernel_size=[5, 5], strides=[1, 1], padding="same", depth_multiplier=1, dilation_rate=[1, 1], depthwise_initializer=Constant(np.load('weights_new/depthwise_conv2d_27_Kernel')), bias_initializer=Constant(np.load('weights_new/depthwise_conv2d_27_Bias')))(relu27_1) conv28_1 = Conv2D(filters=288, kernel_size=[1, 1], strides=[1, 1], padding="valid", dilation_rate=[1, 1], kernel_initializer=Constant(np.load('weights_new/conv2d_29_Kernel').transpose(1,2,3,0)), bias_initializer=Constant(np.load('weights_new/conv2d_29_Bias')))(depthconv28_1) add28_1 = Add()([conv28_1, relu27_1]) relu28_1 = ReLU()(add28_1) # Block_29 depthconv29_1 = DepthwiseConv2D(kernel_size=[5, 5], strides=[2, 2], padding="same", depth_multiplier=1, dilation_rate=[1, 1], depthwise_initializer=Constant(np.load('weights_new/depthwise_conv2d_28_Kernel')), bias_initializer=Constant(np.load('weights_new/depthwise_conv2d_28_Bias')))(relu28_1) conv29_1 = Conv2D(filters=288, kernel_size=[1, 1], strides=[1, 1], padding="valid", dilation_rate=[1, 1], kernel_initializer=Constant(np.load('weights_new/conv2d_30_Kernel').transpose(1,2,3,0)), bias_initializer=Constant(np.load('weights_new/conv2d_30_Bias')))(depthconv29_1) maxpool29_1 = MaxPool2D(pool_size=[2, 2], strides=[2, 2], padding='valid')(relu28_1) add29_1 = Add()([conv29_1, maxpool29_1]) relu29_1 = ReLU()(add29_1) # Block_30 depthconv30_1 = DepthwiseConv2D(kernel_size=[5, 5], strides=[1, 1], padding="same", depth_multiplier=1, dilation_rate=[1, 1], depthwise_initializer=Constant(np.load('weights_new/depthwise_conv2d_29_Kernel')), bias_initializer=Constant(np.load('weights_new/depthwise_conv2d_29_Bias')))(relu29_1) conv30_1 = Conv2D(filters=288, kernel_size=[1, 1], strides=[1, 1], padding="valid", dilation_rate=[1, 1], kernel_initializer=Constant(np.load('weights_new/conv2d_31_Kernel').transpose(1,2,3,0)), bias_initializer=Constant(np.load('weights_new/conv2d_31_Bias')))(depthconv30_1) add30_1 = Add()([conv30_1, relu29_1]) relu30_1 = ReLU()(add30_1) # Block_31 depthconv31_1 = DepthwiseConv2D(kernel_size=[5, 5], strides=[1, 1], padding="same", depth_multiplier=1, dilation_rate=[1, 1], depthwise_initializer=Constant(np.load('weights_new/depthwise_conv2d_30_Kernel')), bias_initializer=Constant(np.load('weights_new/depthwise_conv2d_30_Bias')))(relu30_1) conv31_1 = Conv2D(filters=288, kernel_size=[1, 1], strides=[1, 1], padding="valid", dilation_rate=[1, 1], kernel_initializer=Constant(np.load('weights_new/conv2d_32_Kernel').transpose(1,2,3,0)), bias_initializer=Constant(np.load('weights_new/conv2d_32_Bias')))(depthconv31_1) add31_1 = Add()([conv31_1, relu30_1]) relu31_1 = ReLU()(add31_1) # Block_32 depthconv32_1 = DepthwiseConv2D(kernel_size=[5, 5], strides=[1, 1], padding="same", depth_multiplier=1, dilation_rate=[1, 1], depthwise_initializer=Constant(np.load('weights_new/depthwise_conv2d_31_Kernel')), bias_initializer=Constant(np.load('weights_new/depthwise_conv2d_31_Bias')))(relu31_1) conv32_1 = Conv2D(filters=288, kernel_size=[1, 1], strides=[1, 1], padding="valid", dilation_rate=[1, 1], kernel_initializer=Constant(np.load('weights_new/conv2d_33_Kernel').transpose(1,2,3,0)), bias_initializer=Constant(np.load('weights_new/conv2d_33_Bias')))(depthconv32_1) add32_1 = Add()([conv32_1, relu31_1]) relu32_1 = ReLU()(add32_1) # Block_33 depthconv33_1 = DepthwiseConv2D(kernel_size=[5, 5], strides=[1, 1], padding="same", depth_multiplier=1, dilation_rate=[1, 1], depthwise_initializer=Constant(np.load('weights_new/depthwise_conv2d_32_Kernel')), bias_initializer=Constant(np.load('weights_new/depthwise_conv2d_32_Bias')))(relu32_1) conv33_1 = Conv2D(filters=288, kernel_size=[1, 1], strides=[1, 1], padding="valid", dilation_rate=[1, 1], kernel_initializer=Constant(np.load('weights_new/conv2d_34_Kernel').transpose(1,2,3,0)), bias_initializer=Constant(np.load('weights_new/conv2d_34_Bias')))(depthconv33_1) add33_1 = Add()([conv33_1, relu32_1]) relu33_1 = ReLU()(add33_1) # Block_34 depthconv34_1 = DepthwiseConv2D(kernel_size=[5, 5], strides=[2, 2], padding="same", depth_multiplier=1, dilation_rate=[1, 1], depthwise_initializer=Constant(np.load('weights_new/depthwise_conv2d_33_Kernel')), bias_initializer=Constant(np.load('weights_new/depthwise_conv2d_33_Bias')))(relu33_1) conv34_1 = Conv2D(filters=288, kernel_size=[1, 1], strides=[1, 1], padding="valid", dilation_rate=[1, 1], kernel_initializer=Constant(np.load('weights_new/conv2d_35_Kernel').transpose(1,2,3,0)), bias_initializer=Constant(np.load('weights_new/conv2d_35_Bias')))(depthconv34_1) maxpool34_1 = MaxPool2D(pool_size=[2, 2], strides=[2, 2], padding='valid')(relu33_1) add34_1 = Add()([conv34_1, maxpool34_1]) relu34_1 = ReLU()(add34_1) # Block_35 depthconv35_1 = DepthwiseConv2D(kernel_size=[5, 5], strides=[1, 1], padding="same", depth_multiplier=1, dilation_rate=[1, 1], depthwise_initializer=Constant(np.load('weights_new/depthwise_conv2d_34_Kernel')), bias_initializer=Constant(np.load('weights_new/depthwise_conv2d_34_Bias')))(relu34_1) conv35_1 = Conv2D(filters=288, kernel_size=[1, 1], strides=[1, 1], padding="valid", dilation_rate=[1, 1], kernel_initializer=Constant(np.load('weights_new/conv2d_36_Kernel').transpose(1,2,3,0)), bias_initializer=Constant(np.load('weights_new/conv2d_36_Bias')))(depthconv35_1) add35_1 = Add()([conv35_1, relu34_1]) relu35_1 = ReLU()(add35_1) # Block_36 depthconv36_1 = DepthwiseConv2D(kernel_size=[5, 5], strides=[1, 1], padding="same", depth_multiplier=1, dilation_rate=[1, 1], depthwise_initializer=Constant(np.load('weights_new/depthwise_conv2d_35_Kernel')), bias_initializer=Constant(np.load('weights_new/depthwise_conv2d_35_Bias')))(relu35_1) conv36_1 = Conv2D(filters=288, kernel_size=[1, 1], strides=[1, 1], padding="valid", dilation_rate=[1, 1], kernel_initializer=Constant(np.load('weights_new/conv2d_37_Kernel').transpose(1,2,3,0)), bias_initializer=Constant(np.load('weights_new/conv2d_37_Bias')))(depthconv36_1) add36_1 = Add()([conv36_1, relu35_1]) relu36_1 = ReLU()(add36_1) # Block_37 depthconv37_1 = DepthwiseConv2D(kernel_size=[5, 5], strides=[1, 1], padding="same", depth_multiplier=1, dilation_rate=[1, 1], depthwise_initializer=Constant(np.load('weights_new/depthwise_conv2d_36_Kernel')), bias_initializer=Constant(np.load('weights_new/depthwise_conv2d_36_Bias')))(relu36_1) conv37_1 = Conv2D(filters=288, kernel_size=[1, 1], strides=[1, 1], padding="valid", dilation_rate=[1, 1], kernel_initializer=Constant(np.load('weights_new/conv2d_38_Kernel').transpose(1,2,3,0)), bias_initializer=Constant(np.load('weights_new/conv2d_38_Bias')))(depthconv37_1) add37_1 = Add()([conv37_1, relu36_1]) relu37_1 = ReLU()(add37_1) # Block_38 depthconv38_1 = DepthwiseConv2D(kernel_size=[5, 5], strides=[1, 1], padding="same", depth_multiplier=1, dilation_rate=[1, 1], depthwise_initializer=Constant(np.load('weights_new/depthwise_conv2d_37_Kernel')), bias_initializer=Constant(np.load('weights_new/depthwise_conv2d_37_Bias')))(relu37_1) conv38_1 = Conv2D(filters=288, kernel_size=[1, 1], strides=[1, 1], padding="valid", dilation_rate=[1, 1], kernel_initializer=Constant(np.load('weights_new/conv2d_39_Kernel').transpose(1,2,3,0)), bias_initializer=Constant(np.load('weights_new/conv2d_39_Bias')))(depthconv38_1) add38_1 = Add()([conv38_1, relu37_1]) relu38_1 = ReLU()(add38_1) # Block_39 depthconv39_1 = DepthwiseConv2D(kernel_size=[5, 5], strides=[2, 2], padding="same", depth_multiplier=1, dilation_rate=[1, 1], depthwise_initializer=Constant(np.load('weights_new/depthwise_conv2d_38_Kernel')), bias_initializer=Constant(np.load('weights_new/depthwise_conv2d_38_Bias')))(relu38_1) conv39_1 = Conv2D(filters=288, kernel_size=[1, 1], strides=[1, 1], padding="valid", dilation_rate=[1, 1], kernel_initializer=Constant(np.load('weights_new/conv2d_40_Kernel').transpose(1,2,3,0)), bias_initializer=Constant(np.load('weights_new/conv2d_40_Bias')))(depthconv39_1) maxpool39_1 = MaxPool2D(pool_size=[2, 2], strides=[2, 2], padding='valid')(relu38_1) add39_1 = Add()([conv39_1, maxpool39_1]) relu39_1 = ReLU()(add39_1) # Block_40 depthconv40_1 = DepthwiseConv2D(kernel_size=[5, 5], strides=[1, 1], padding="same", depth_multiplier=1, dilation_rate=[1, 1], depthwise_initializer=Constant(np.load('weights_new/depthwise_conv2d_39_Kernel')), bias_initializer=Constant(np.load('weights_new/depthwise_conv2d_39_Bias')))(relu39_1) conv40_1 = Conv2D(filters=288, kernel_size=[1, 1], strides=[1, 1], padding="valid", dilation_rate=[1, 1], kernel_initializer=Constant(np.load('weights_new/conv2d_41_Kernel').transpose(1,2,3,0)), bias_initializer=Constant(np.load('weights_new/conv2d_41_Bias')))(depthconv40_1) add40_1 = Add()([conv40_1, relu39_1]) relu40_1 = ReLU()(add40_1) # Block_41 depthconv41_1 = DepthwiseConv2D(kernel_size=[5, 5], strides=[1, 1], padding="same", depth_multiplier=1, dilation_rate=[1, 1], depthwise_initializer=Constant(np.load('weights_new/depthwise_conv2d_40_Kernel')), bias_initializer=Constant(np.load('weights_new/depthwise_conv2d_40_Bias')))(relu40_1) conv41_1 = Conv2D(filters=288, kernel_size=[1, 1], strides=[1, 1], padding="valid", dilation_rate=[1, 1], kernel_initializer=Constant(np.load('weights_new/conv2d_42_Kernel').transpose(1,2,3,0)), bias_initializer=Constant(np.load('weights_new/conv2d_42_Bias')))(depthconv41_1) add41_1 = Add()([conv41_1, relu40_1]) relu41_1 = ReLU()(add41_1) # Block_42 depthconv42_1 = DepthwiseConv2D(kernel_size=[5, 5], strides=[1, 1], padding="same", depth_multiplier=1, dilation_rate=[1, 1], depthwise_initializer=Constant(np.load('weights_new/depthwise_conv2d_41_Kernel')), bias_initializer=Constant(np.load('weights_new/depthwise_conv2d_41_Bias')))(relu41_1) conv42_1 = Conv2D(filters=288, kernel_size=[1, 1], strides=[1, 1], padding="valid", dilation_rate=[1, 1], kernel_initializer=Constant(np.load('weights_new/conv2d_43_Kernel').transpose(1,2,3,0)), bias_initializer=Constant(np.load('weights_new/conv2d_43_Bias')))(depthconv42_1) add42_1 = Add()([conv42_1, relu41_1]) relu42_1 = ReLU()(add42_1) # Block_43 depthconv43_1 = DepthwiseConv2D(kernel_size=[5, 5], strides=[1, 1], padding="same", depth_multiplier=1, dilation_rate=[1, 1], depthwise_initializer=Constant(np.load('weights_new/depthwise_conv2d_42_Kernel')), bias_initializer=Constant(np.load('weights_new/depthwise_conv2d_42_Bias')))(relu42_1) conv43_1 = Conv2D(filters=288, kernel_size=[1, 1], strides=[1, 1], padding="valid", dilation_rate=[1, 1], kernel_initializer=Constant(np.load('weights_new/conv2d_44_Kernel').transpose(1,2,3,0)), bias_initializer=Constant(np.load('weights_new/conv2d_44_Bias')))(depthconv43_1) add43_1 = Add()([conv43_1, relu42_1]) relu43_1 = ReLU()(add43_1) # Final Block_99 conv99_1 = Conv2D(filters=1, kernel_size=[2, 2], strides=[1, 1], padding="valid", dilation_rate=[1, 1], kernel_initializer=Constant(np.load('weights_new/conv_handflag_Kernel').transpose(1,2,3,0)), bias_initializer=Constant(np.load('weights_new/conv_handflag_Bias')))(relu43_1) sigm99_1 = tf.math.sigmoid(conv99_1, name='output_handflag') # reshape99_1 = tf.reshape(sigm99_1, (1, -1), name='output_handflag') conv99_2 = Conv2D(filters=1, kernel_size=[2, 2], strides=[1, 1], padding="valid", dilation_rate=[1, 1], kernel_initializer=Constant(np.load('weights_new/conv_handedness_Kernel').transpose(1,2,3,0)), bias_initializer=Constant(np.load('weights_new/conv_handedness_Bias')))(relu43_1) sigm99_2 = tf.math.sigmoid(conv99_2, name='output_handedness') # reshape99_2 = tf.reshape(sigm99_2, (1, -1), name='output_handedness') conv99_3 = Conv2D(filters=63, kernel_size=[2, 2], strides=[1, 1], padding="valid", dilation_rate=[1, 1], kernel_initializer=Constant(np.load('weights_new/convld_21_3d_Kernel').transpose(1,2,3,0)), bias_initializer=Constant(np.load('weights_new/convld_21_3d_Bias')))(relu43_1) reshape99_3 = tf.reshape(conv99_3, (1, 63), name='ld_21_3d') model = Model(inputs=inputs, outputs=[sigm99_1, sigm99_2, reshape99_3]) # model = Model(inputs=inputs, outputs=[reshape99_1, reshape99_2, reshape99_3]) model.summary() tf.saved_model.save(model, 'saved_model_hand_landmark_new') model.save('hand_landmark_new.h5') full_model = tf.function(lambda inputs: model(inputs)) full_model = full_model.get_concrete_function(inputs = (tf.TensorSpec(model.inputs[0].shape, model.inputs[0].dtype))) frozen_func = convert_variables_to_constants_v2(full_model, lower_control_flow=False) frozen_func.graph.as_graph_def() tf.io.write_graph(graph_or_graph_def=frozen_func.graph, logdir=".", name="hand_landmark_new_256x256_float32.pb", as_text=False) # No Quantization - Input/Output=float32 converter = tf.lite.TFLiteConverter.from_keras_model(model) tflite_model = converter.convert() with open('hand_landmark_new_256x256_float32.tflite', 'wb') as w: w.write(tflite_model) print("tflite convert complete! - hand_landmark_new_256x256_float32.tflite") # Weight Quantization - Input/Output=float32 converter = tf.lite.TFLiteConverter.from_keras_model(model) converter.optimizations = [tf.lite.Optimize.OPTIMIZE_FOR_SIZE] tflite_model = converter.convert() with open('hand_landmark_new_256x256_weight_quant.tflite', 'wb') as w: w.write(tflite_model) print("Weight Quantization complete! - hand_landmark_new_256x256_weight_quant.tflite") def representative_dataset_gen(): for data in raw_test_data.take(100): image = data['image'].numpy() image = tf.image.resize(image, (256, 256)) image = image[np.newaxis,:,:,:] image = image - 127.5 image = image * 0.007843 yield [image] raw_test_data, info = tfds.load(name="the300w_lp", with_info=True, split="train", data_dir="~/TFDS", download=True) # Integer Quantization - Input/Output=float32 converter = tf.lite.TFLiteConverter.from_keras_model(model) converter.optimizations = [tf.lite.Optimize.DEFAULT] converter.representative_dataset = representative_dataset_gen tflite_quant_model = converter.convert() with open('hand_landmark_new_256x256_integer_quant.tflite', 'wb') as w: w.write(tflite_quant_model) print("Integer Quantization complete! - hand_landmark_new_256x256_integer_quant.tflite") # # Full Integer Quantization - Input/Output=int8 # converter = tf.lite.TFLiteConverter.from_keras_model(model) # converter.optimizations = [tf.lite.Optimize.DEFAULT] # converter.target_spec.supported_ops = [tf.lite.OpsSet.TFLITE_BUILTINS_INT8] # converter.inference_input_type = tf.uint8 # converter.inference_output_type = tf.uint8 # converter.representative_dataset = representative_dataset_gen # tflite_quant_model = converter.convert() # with open('hand_landmark_new_256x256_full_integer_quant.tflite', 'wb') as w: # w.write(tflite_quant_model) # print("Full Integer Quantization complete! - hand_landmark_new_256x256_full_integer_quant.tflite") # Float16 Quantization - Input/Output=float32 converter = tf.lite.TFLiteConverter.from_keras_model(model) converter.optimizations = [tf.lite.Optimize.DEFAULT] converter.target_spec.supported_types = [tf.float16] tflite_quant_model = converter.convert() with open('hand_landmark_new_256x256_float16_quant.tflite', 'wb') as w: w.write(tflite_quant_model) print("Float16 Quantization complete! - hand_landmark_new_256x256_float16_quant.tflite") # # EdgeTPU # import subprocess # result = subprocess.check_output(["edgetpu_compiler", "-s", "hand_landmark_new_256x256_full_integer_quant.tflite"]) # print(result)

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937e7125924f798c0a2800ecb6adb68f83c5ec15

2,019

py

Python

tests/devices/test_base.py

jtappolet/pydigitalstrom

b988a2c5f72920264ce5e008709aa287c3e6d631

[ "MIT" ]

3

2018-12-09T00:33:26.000Z

2020-09-05T04:58:13.000Z

tests/devices/test_base.py

jtappolet/pydigitalstrom

b988a2c5f72920264ce5e008709aa287c3e6d631

[ "MIT" ]

null

tests/devices/test_base.py

jtappolet/pydigitalstrom

b988a2c5f72920264ce5e008709aa287c3e6d631

[ "MIT" ]

4

2020-08-20T18:25:34.000Z

2021-08-30T11:15:28.000Z

# -*- coding: UTF-8 -*- import aiounittest from unittest.mock import Mock, patch from pydigitalstrom.devices.base import DSDevice from tests.common import get_testclient class TestDevice(aiounittest.AsyncTestCase): def test_attributes(self): device = DSDevice(client=get_testclient(), device_id=5, device_name="test") self.assertEqual(device._id, 5) self.assertEqual(device._name, "test") def test_name(self): device = DSDevice(client=get_testclient(), device_id=5, device_name="test") self.assertEqual(device.name, "test") def test_unique_id(self): device = DSDevice(client=get_testclient(), device_id=5, device_name="test") self.assertEqual(device.unique_id, 5) async def test_request_enqueued(self): with patch( "pydigitalstrom.commandstack.DSCommandStack.append", Mock(return_value=aiounittest.futurized(dict())), ) as mock_stack_append: device = DSDevice(client=get_testclient(), device_id=5, device_name="test") await device.request(url="abc.de") mock_stack_append.assert_called_with(url="abc.de") async def test_request_plain(self): with patch( "pydigitalstrom.commandstack.DSCommandStack.append", Mock(return_value=aiounittest.futurized(dict())), ) as mock_stack_append: device = DSDevice(client=get_testclient(), device_id=5, device_name="test") await device.request(url="abc.de") mock_stack_append.assert_called_with(url="abc.de") async def test_request_with_data(self): with patch( "pydigitalstrom.commandstack.DSCommandStack.append", Mock(return_value=aiounittest.futurized(dict())), ) as mock_stack_append: device = DSDevice(client=get_testclient(), device_id=5, device_name="test") await device.request(url="abc.de?{x}", x="hello") mock_stack_append.assert_called_with(url="abc.de?hello")

41.204082

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0.222222

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0.085692

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0

null

0

1

0

null

0

5

fa8f4e6eab1f95f44a8d23afba095e1f564c48c8

73

py

Python

modules/biometry/__init__.py

camargo2019/conecta

3bf67a7aa5280d1d263e5ee40cbc48f0045fcb99

[ "MIT" ]

1

2021-08-01T05:40:31.000Z

modules/biometry/__init__.py

camargo2019/conecta

3bf67a7aa5280d1d263e5ee40cbc48f0045fcb99

[ "MIT" ]

null

modules/biometry/__init__.py

camargo2019/conecta

3bf67a7aa5280d1d263e5ee40cbc48f0045fcb99

[ "MIT" ]

null

#!/usr/bin/python3 def teste_biometry(): print('Em desenvolvimento')

18.25

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0.712329

9

73

5.666667

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0.015625

0.123288

73

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null

0

1

0

null

0

1

0

1

0

5

fa9a45b7517609bfe6bf39f363db0b80c38458c2

391

py

Python

shared/lesson02/server1_topology.py

flavio-fernandes/ovs-lab

4cac9368ecba4d99783fda5fcee051868df1e761

[ "Apache-2.0" ]

38

2015-02-23T11:15:15.000Z

2021-11-16T11:37:09.000Z

shared/lesson02/server1_topology.py

flavio-fernandes/ovs-lab

4cac9368ecba4d99783fda5fcee051868df1e761

[ "Apache-2.0" ]

2

2015-11-06T11:39:41.000Z

2019-07-20T01:23:18.000Z

shared/lesson02/server1_topology.py

flavio-fernandes/ovs-lab

4cac9368ecba4d99783fda5fcee051868df1e761

[ "Apache-2.0" ]

26

2015-01-19T21:40:11.000Z

2021-05-14T02:42:42.000Z

#!/usr/bin/python from common import createTopology createTopology( 's1', [ [ 'red1', { 'ip': '10.0.0.1/8', 'mac': '00:00:00:00:aa:01' } ], [ 'blue1', { 'ip': '10.0.0.1/8', 'mac': '00:00:00:00:aa:01' } ] ] )

15.64

42

0.289003

37

391

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0.513514

0.212389

0.106195

0.40708

0

0.194444

0.539642

391

24

43

16.291667

0.433333

0.040921

0

0.2

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0.200535

0

1

0

true

0

0.05

0

0.05

0

null

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0

1

0

1

0

null

0

1

0

5

8782a8d1c7de0cb34a466e2e9734f099540e875e

104

py

Python

bitmovin_api_sdk/encoding/configurations/audio/eac3/customdata/__init__.py

jaythecaesarean/bitmovin-api-sdk-python

48166511fcb9082041c552ace55a9b66cc59b794

[ "MIT" ]

11

2019-07-03T10:41:16.000Z

2022-02-25T21:48:06.000Z

bitmovin_api_sdk/encoding/configurations/audio/eac3/customdata/__init__.py

jaythecaesarean/bitmovin-api-sdk-python

48166511fcb9082041c552ace55a9b66cc59b794

[ "MIT" ]

8

2019-11-23T00:01:25.000Z

2021-04-29T12:30:31.000Z

bitmovin_api_sdk/encoding/configurations/audio/eac3/customdata/__init__.py

jaythecaesarean/bitmovin-api-sdk-python

48166511fcb9082041c552ace55a9b66cc59b794

[ "MIT" ]

13

2020-01-02T14:58:18.000Z

2022-03-26T12:10:30.000Z

from bitmovin_api_sdk.encoding.configurations.audio.eac3.customdata.customdata_api import CustomdataApi

52

103

0.903846

13

104

7

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0

0.01

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104

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104

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null

0

1

0

1

0

5

8785f4e008026946e4ff11b315b9b3cb0252509f

161

py

Python

heymac/utl/mock_serial.py

dwhall/HeyMac

18c86b5855d65d3d6ffe9ee9d5913396cee40d81

[ "MIT" ]

5

2018-03-25T03:31:52.000Z

2021-11-23T03:17:01.000Z

heymac/utl/mock_serial.py

dwhall/HeyMac

18c86b5855d65d3d6ffe9ee9d5913396cee40d81

[ "MIT" ]

10

2018-05-18T20:53:45.000Z

2021-08-22T03:01:31.000Z

heymac/utl/mock_serial.py

dwhall/HeyMac

18c86b5855d65d3d6ffe9ee9d5913396cee40d81

[ "MIT" ]

1

2020-06-14T16:31:34.000Z

class Serial(): def __init__(self, port, baudrate, timeout): self.baudrate = baudrate def read(self, n): return [0,]*n def close(self): pass

26.833333

48

0.627329

22

161

4.409091

0.636364

0

0.00813

0.236025

161

5

49

32.2

0.780488

0

1

0.6

false

0.2

0

0.2

0.8

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

879481eafca0906cd384909827c67ecb999bd247

129

py

Python

trebelge/tasks.py

askmetoo/trebelge

bff1b13edf41d1a9afd9ddb039f5b4089cb83dd6

[ "MIT" ]

6

2019-12-21T21:15:50.000Z

2021-12-30T21:59:53.000Z

trebelge/tasks.py

Framras/trebelge

362179925dc688ad8ea008f532de72e67e49941b

[ "MIT" ]

null

trebelge/tasks.py

Framras/trebelge

362179925dc688ad8ea008f532de72e67e49941b

[ "MIT" ]

3

2020-01-05T19:32:40.000Z

2021-11-03T14:11:21.000Z

from __future__ import unicode_literals from trebelge import api def every_day_at_02_38(): api.check_all_ebelge_parties()

16.125

39

0.813953

20

129

4.65

0.85

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0.036036

0.139535

129

7

40

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0.801802

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1

0.25

true

0

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0

5

87a5e24276f16abf412f936f07d0bb42dd76c5e9

4,776

py

Python

egs/biendata/s5/local/data_cleaning.py

zhangshuaiCasia/kaldi

e298736da4e6fb3bf5d70a7b520eb742c4744500

[ "Apache-2.0" ]

1

2021-06-30T07:29:48.000Z

egs/biendata/s5/local/data_cleaning.py

zhangshuaiCasia/kaldi

e298736da4e6fb3bf5d70a7b520eb742c4744500

[ "Apache-2.0" ]

null

egs/biendata/s5/local/data_cleaning.py

zhangshuaiCasia/kaldi

e298736da4e6fb3bf5d70a7b520eb742c4744500

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- import re # resource_dir = "data_text_clean/test/text" # target_dir = "data_text_clean/test/text_new" # # remove illegal encode whiteblanks # with open(resource_dir, 'r') as f: # for line in f.readlines(): # new = re.sub('\u3000',' ',line) # with open(target_dir, 'a') as w: # w.write(new) ## remove (ppl,ppo,ppc..), # resource_dir = "data/text" # target_dir = "data_text_clean/text" # pp = ['(ppl)', '(ppo)', '(ppc)', '(ppb)'] # utt_id = [] # with open(resource_dir, 'r') as f: # for line in f.readlines(): # l = line.split() # if len(l) == 2 and l[1] in pp: # utt_id.append(l[0]) # continue # with open(target_dir, 'a') as w: # w.write(line) # print(utt_id) # for file in ['utt2spk', 'spk2utt', 'wav.scp']: # with open('data/' + file, 'r') as f: # for line in f.readlines(): # l = line.split() # if l[0] in utt_id: # continue # with open('data_text_clean/' + file, 'a') as w: # w.write(line) ## remove [],() # resource_dir = "data_all_phaseI/text" # target_dir = "data_all_phaseI/text1" # # symble = ['(', ')', '[', ']', '*'] # with open(resource_dir, 'r') as f: # for line in f.readlines(): # new = line.replace('(ppl)','').replace('(ppo)','').replace('(ppc)','').replace('(ppb)','') \ # .replace('(','').replace(')','').replace(']','').replace('[','').replace('*','') \ # .replace('【','').replace('】','').replace('.','').replace('-','').replace('~','') \ # .replace('（','').replace('）','').replace('［','').replace('］','') # with open(target_dir, 'a') as w: # w.write(new) ## remove blank lines, # resource_dir = "data_text_clean/text1" # target_dir = "data_text_clean/text2" # utt_id = [] # with open(resource_dir, 'r') as f: # for line in f.readlines(): # l = line.split() # if len(l) == 1: # utt_id.append(l[0]) # continue # with open(target_dir, 'a') as w: # w.write(line) # print(utt_id) # for file in ['utt2spk', 'spk2utt', 'wav.scp']: # with open('data_text_clean/' + file, 'r') as f: # for line in f.readlines(): # l = line.split() # if l[0] in utt_id: # continue # with open('data_text_clean/' + file + '_2', 'a') as w: # w.write(line) ## parse words to word # resource_dir = "data_all/text" # target_dir = "data_all/text1" # utt_id = [] # with open(resource_dir, 'r') as f: # for line in f.readlines(): # l = line.split() # for li in l: # if li >= u'\u4e00' and li <= u'\u9fa5' and len(li) > 1: # line = line.replace(li, " ".join([i for i in li])) # with open(target_dir, 'a') as w: # w.write(line) #中英文分词 resource_dir = "/home/zhangshuai/kaldi-master/egs/biendata/s5/data/train_dev_sp/text_raw" target_dir = "/home/zhangshuai/kaldi-master/egs/biendata/s5/data/train_dev_sp/text_char" en = '' with open(resource_dir, 'r') as f: for line in f.readlines(): utt_id = [] line_list = line.split() l = line_list[1:] for li in l: for i in range(len(li)): if i+1 <= len(li): if (li[i] < u'\u4e00' or li[i] > u'\u9fa5'): en = en + li[i] if i+1 == len(li): utt_id.append(en) en = '' elif (li[i+1] >= u'\u4e00' and li[i+1] <= u'\u9fa5'): utt_id.append(en) en = '' else: utt_id.append(li[i]) with open(target_dir, 'a') as w: w.write(line_list[0] + ' ' + " ".join(utt_id) + '\n') ## 删除中文，余下英文用于生成wordpiece # resource_dir = "data_all_phaseI/text_raw" # target_dir = "data_all_phaseI/text1" # en = '' # with open(resource_dir, 'r') as f: # for line in f.readlines(): # utt_id = [] # line_list = line.split() # l = line_list[1:] # for li in l: # for i in range(len(li)): # if i+1 <= len(li): # if (li[i] < u'\u4e00' or li[i] > u'\u9fa5'): # en = en + li[i] # if i+1 == len(li): # utt_id.append(en) # en = '' # elif (li[i+1] >= u'\u4e00' and li[i+1] <= u'\u9fa5'): # utt_id.append(en) # en = '' # else: # utt_id.append(li[i]) # with open(target_dir, 'a') as w: # w.write(line_list[0] + ' ' + " ".join(utt_id) + '\n') ## 将文本中非语音发音替换为<SPOKEN_NOISE> # resource_dir = "data_all/text_raw" # target_dir = "data_all/text1" # # symble = ['(', ')', '[', ']', '*'] # with open(resource_dir, 'r') as f: # for line in f.readlines(): # uttid = line.split()[0] # new = line.replace('(ppl)','<SPOKEN_NOISE>').replace('(ppo)','<SPOKEN_NOISE>').replace('(ppc)','<SPOKEN_NOISE>').replace('(ppb)','<SPOKEN_NOISE>') \ # .replace('(','').replace(')','').replace(']','').replace('[','').replace('*','') \ # .replace('【','').replace('】','').replace('.','').replace('～','') \ # .replace('（','').replace('）','').replace('［','').replace('］','') # with open(target_dir, 'a') as w: # w.write(uttid + ' ' + new.lower())

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4,776

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0.234918

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1

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1

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null

0

5

87d9871afcdc947f17cf6893a64407ec89430393

177

py

Python

AI/data/__init__.py

yast-ia/YastAI

f5a05841126da4acd9b7250c5bf6f627ac1703d5

[ "MIT" ]

1

2020-08-23T22:00:17.000Z

AI/data/__init__.py

yast-ia/YastAI

f5a05841126da4acd9b7250c5bf6f627ac1703d5

[ "MIT" ]

null

AI/data/__init__.py

yast-ia/YastAI

f5a05841126da4acd9b7250c5bf6f627ac1703d5

[ "MIT" ]

1

2020-08-23T18:34:12.000Z

""" Data ==== Load, preprocess and filted data. """ from .constants import * from .dataset import * from .generator import * from .preprocessing import * from .utils import *

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177

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5

87f1f3b129a966e650b7cf594ad5b0d94868c09d

515

py

Python

src/shared_library/shared_library.py

DantasB/smart-speaker

d74151f447848f5054d310679cafb0b3298d34bd

[ "MIT" ]

1

2021-09-25T16:07:30.000Z

src/shared_library/shared_library.py

DantasB/smart-speaker

d74151f447848f5054d310679cafb0b3298d34bd

[ "MIT" ]

1

2022-01-10T03:50:13.000Z

src/shared_library/shared_library.py

DantasB/smart-speaker

d74151f447848f5054d310679cafb0b3298d34bd

[ "MIT" ]

null

import tempfile def generate_workfolder() -> tempfile.TemporaryDirectory: """Generates a workfolder Returns: tempfile.TemporaryDirectory: the temporary directory generated """ temp_dir = tempfile.TemporaryDirectory() return temp_dir def delete_workfolder(directory: tempfile.TemporaryDirectory) -> None: """Deletes the temporary directory generated Args: directory (tempfile.TemporaryDirectory): the directory path """ directory.cleanup()

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null

0

1

0

1

0

5

e20a6e9062b584a8742ba88963b500f7424a3f89

193

py

Python

python_justclick/python_justclick_django/__init__.py

moshkov/python_justclick

b7039c53b6140e66e98f02ddb324269e044a4054

[ "MIT" ]

null

python_justclick/python_justclick_django/__init__.py

moshkov/python_justclick

b7039c53b6140e66e98f02ddb324269e044a4054

[ "MIT" ]

null

python_justclick/python_justclick_django/__init__.py

moshkov/python_justclick

b7039c53b6140e66e98f02ddb324269e044a4054

[ "MIT" ]

null

from python_justclick.justclick import JustClickConnection from django.conf import settings justClickConnection = JustClickConnection(settings.JUSTCLICK_USERNAME, settings.JUSTCLICK_API_KEY)

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193

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1

0

1

0

null

0

1

0

1

0

5

356ec68d102707648a63ab1bdeda22b402009a35

133

py

Python

affo_sms_service/api/exception.py

fossabot/affo-sms-service

a843eb37d61560392d7fcbb6b14ca2d31cd50b12

[ "BSD-3-Clause" ]

null

affo_sms_service/api/exception.py

fossabot/affo-sms-service

a843eb37d61560392d7fcbb6b14ca2d31cd50b12

[ "BSD-3-Clause" ]

1

2019-11-25T14:25:13.000Z

affo_sms_service/api/exception.py

fossabot/affo-sms-service

a843eb37d61560392d7fcbb6b14ca2d31cd50b12

[ "BSD-3-Clause" ]

1

2019-11-25T14:21:58.000Z

import http import connexion_buzz class InvalidPhone(connexion_buzz.ConnexionBuzz): status_code = http.HTTPStatus.BAD_REQUEST

16.625

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0

1

0

null

0

1

0

1

0

5

3574bc2423066b4a2512a253ab5a3aa09958e2a2

217

py

Python

pythontohtml/__init__.py

hakiKhuva/pythontohtml

d86df95c5260b1b567fabb356c60057bc4055224

[ "MIT" ]

null

pythontohtml/__init__.py

hakiKhuva/pythontohtml

d86df95c5260b1b567fabb356c60057bc4055224

[ "MIT" ]

null

pythontohtml/__init__.py

hakiKhuva/pythontohtml

d86df95c5260b1b567fabb356c60057bc4055224

[ "MIT" ]

null

""" PythontoHTML : use python functions to create html document ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ """ from .__about__ import __name__, __version__, __author__, __author_email__, __license__

36.166667

87

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17

217

5.882353

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0.115207

217

6

87

36.166667

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0

1

0

true

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1

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null

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1

0

null

0

1

0

1

0

1

0

5

357951f7bdce5e3652fb55ba49f202e8ea78a23c

240

py

Python

confidant/authnz/errors.py

chadwhitacre/confidant

dd788147b355f760767cf3b9487671c67948ade3

[ "Apache-2.0" ]

1,820

2015-11-04T17:57:16.000Z

2022-03-31T16:47:24.000Z

confidant/authnz/errors.py

chadwhitacre/confidant

dd788147b355f760767cf3b9487671c67948ade3

[ "Apache-2.0" ]

1,601

2018-09-13T14:56:27.000Z

2021-03-31T20:06:16.000Z

confidant/authnz/errors.py

isabella232/confidant

3dac318c3e1f29bae5771084ad29a4bc121f1771

[ "Apache-2.0" ]

136

2015-11-04T19:23:14.000Z

2022-02-25T01:51:29.000Z

# authentication / authorization related error classes class UserUnknownError(Exception): pass class TokenVersionError(Exception): pass class AuthenticationError(Exception): pass class NotAuthorized(Exception): pass

13.333333

54

0.7625

21

240

8.714286

0.571429

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0.295082

0

0.179167

240

17

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null

1

0

null

0

1

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5

35850910507f5b61ca978b4a79a718c629acfa4f

323

py

Python

octicons16px/chevron_down.py

andrewp-as-is/octicons16px.py

1272dc9f290619d83bd881e87dbd723b0c48844c

[ "Unlicense" ]

1

2021-01-28T06:47:39.000Z

octicons16px/chevron_down.py

andrewp-as-is/octicons16px.py

1272dc9f290619d83bd881e87dbd723b0c48844c

[ "Unlicense" ]

null

octicons16px/chevron_down.py

andrewp-as-is/octicons16px.py

1272dc9f290619d83bd881e87dbd723b0c48844c

[ "Unlicense" ]

null

OCTICON_CHEVRON_DOWN = """ <svg class="octicon octicon-chevron-down" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 16 16" width="16" height="16"><path fill-rule="evenodd" d="M12.78 6.22a.75.75 0 010 1.06l-4.25 4.25a.75.75 0 01-1.06 0L3.22 7.28a.75.75 0 011.06-1.06L8 9.94l3.72-3.72a.75.75 0 011.06 0z"></path></svg> """

64.6

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1

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null

0

5

35dc2e3e2beff573f5d8768af63a591c784733f8

74

py

Python

asyncworker/metrics/__init__.py

async-worker/async-worker

9025d8f14d3fe6e1a2b1373c84abf41de575b359

[ "MIT" ]

7

2021-05-02T19:26:14.000Z

2022-02-08T15:12:10.000Z

asyncworker/metrics/__init__.py

async-worker/async-worker

9025d8f14d3fe6e1a2b1373c84abf41de575b359

[ "MIT" ]

10

2021-05-02T15:37:55.000Z

2021-09-11T10:58:32.000Z

asyncworker/metrics/__init__.py

async-worker/async-worker

9025d8f14d3fe6e1a2b1373c84abf41de575b359

[ "MIT" ]

null

from .collectors import * from .definitions import * from .types import *

18.5

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0

null

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0

1

0

5

35e3d18c0457a8e2c4e28c1568febe10d2e25bad

31,624

py

Python

orttraining/orttraining/test/python/orttraining_test_orttrainer_checkpoint_functions.py

vpisarev/onnxruntime

bab9b80f1f2330d3a115e0abbb4d8278c2be3f44

[ "MIT" ]

null

orttraining/orttraining/test/python/orttraining_test_orttrainer_checkpoint_functions.py

vpisarev/onnxruntime

bab9b80f1f2330d3a115e0abbb4d8278c2be3f44

[ "MIT" ]

null

orttraining/orttraining/test/python/orttraining_test_orttrainer_checkpoint_functions.py

vpisarev/onnxruntime

bab9b80f1f2330d3a115e0abbb4d8278c2be3f44

[ "MIT" ]

null

import pytest from unittest.mock import patch, Mock from _test_commons import _load_pytorch_transformer_model from onnxruntime.training import amp, checkpoint, optim, orttrainer, _checkpoint_storage import numpy as np import onnx import torch # Helper functions def _create_trainer(zero_enabled=False): """Cerates a simple ORTTrainer for ORTTrainer functional tests""" device = 'cuda' optim_config = optim.LambConfig(lr=0.1) opts = { 'device' : {'id' : device}, 'debug' : {'deterministic_compute': True} } if zero_enabled: opts['distributed'] = { 'world_rank' : 0, 'world_size' : 1, 'horizontal_parallel_size' : 1, 'data_parallel_size' : 1, 'allreduce_post_accumulation' : True, 'deepspeed_zero_optimization': { 'stage': 1 } } model, model_desc, loss_fn, batcher_fn, train_data, _, _ = _load_pytorch_transformer_model(device) trainer = orttrainer.ORTTrainer(model, model_desc, optim_config, loss_fn=loss_fn, options=orttrainer.ORTTrainerOptions(opts)) return trainer class _training_session_mock(object): """Mock object for the ORTTrainer _training_session member""" def __init__(self, model_states, optimizer_states, partition_info): self.model_states = model_states self.optimizer_states = optimizer_states self.partition_info = partition_info def get_model_state(self, include_mixed_precision_weights=False): return self.model_states def get_optimizer_state(self): return self.optimizer_states def get_partition_info_map(self): return self.partition_info def _get_load_state_dict_strict_error_arguments(): """Return a list of tuples that can be used as parameters for test_load_state_dict_errors_when_model_key_missing Construct a list of tuples (training_session_state_dict, input_state_dict, error_arguments) The load_state_dict function will compare the two state dicts (training_session_state_dict, input_state_dict) and throw a runtime error with the missing/unexpected keys. The error arguments capture these missing/unexpected keys. """ training_session_state_dict = { 'model': { 'full_precision': { 'a': np.arange(5), 'b': np.arange(7) } }, 'optimizer': { 'a': { 'Moment_1': np.arange(5), 'Moment_2': np.arange(7) }, 'shared_optimizer_state': { 'step': np.arange(5) } } } # input state dictionaries precision_key_missing = {'model': {}, 'optimizer': {}} precision_key_unexpected = {'model': {'full_precision': {}, 'mixed_precision': {}}, 'optimizer': {}} model_state_key_missing = {'model': {'full_precision': {}}, 'optimizer': {}} model_state_key_unexpected = {'model': {'full_precision': {'a': 2, 'b': 3, 'c': 4}}, 'optimizer': {}} optimizer_model_state_key_missing = {'model': {'full_precision': {'a': 2, 'b': 3}}, 'optimizer': {}} optimizer_model_state_key_unexpected = {'model': {'full_precision': {'a': 2, 'b': 3}}, 'optimizer': \ {'a': {}, 'shared_optimizer_state': {}, 'b': {}}} optimizer_state_key_missing = {'model': {'full_precision': {'a': 2, 'b': 3}}, 'optimizer': \ {'a': {}, 'shared_optimizer_state': {'step': np.arange(5)}}} optimizer_state_key_unexpected = {'model': {'full_precision': {'a': 2, 'b': 3}}, 'optimizer': \ {'a': {'Moment_1': np.arange(5), 'Moment_2': np.arange(7)}, 'shared_optimizer_state': {'step': np.arange(5), 'another_step': np.arange(1)}}} input_arguments = [ (training_session_state_dict, precision_key_missing, ['full_precision']), (training_session_state_dict, precision_key_unexpected, ['mixed_precision']), (training_session_state_dict, model_state_key_missing, ['a', 'b']), (training_session_state_dict, model_state_key_unexpected, ['c']), (training_session_state_dict, optimizer_model_state_key_missing, ['a', 'shared_optimizer_state']), (training_session_state_dict, optimizer_model_state_key_unexpected, ['b']), (training_session_state_dict, optimizer_state_key_missing, ['Moment_1', 'Moment_2']), (training_session_state_dict, optimizer_state_key_unexpected, ['another_step']) ] return input_arguments # Tests def test_empty_state_dict_when_training_session_uninitialized(): trainer = _create_trainer() with pytest.warns(UserWarning) as user_warning: state_dict = trainer.state_dict() assert len(state_dict.keys()) == 0 assert user_warning[0].message.args[0] == "ONNX Runtime training session is not initialized yet. " \ "Please run train_step or eval_step at least once before calling ORTTrainer.state_dict()." @patch('onnx.ModelProto') def test_training_session_provides_empty_model_states(onnx_model_mock): trainer = _create_trainer() training_session_mock = _training_session_mock({}, {}, {}) trainer._training_session = training_session_mock trainer._onnx_model = onnx_model_mock() state_dict = trainer.state_dict() assert len(state_dict['model'].keys()) == 0 @patch('onnx.ModelProto') def test_training_session_provides_model_states(onnx_model_mock): trainer = _create_trainer() model_states = { 'full_precision': { 'a': np.arange(5), 'b': np.arange(7) } } training_session_mock = _training_session_mock(model_states, {}, {}) trainer._training_session = training_session_mock trainer._onnx_model = onnx_model_mock() state_dict = trainer.state_dict() assert (state_dict['model']['full_precision']['a'] == np.arange(5)).all() assert (state_dict['model']['full_precision']['b'] == np.arange(7)).all() @patch('onnx.ModelProto') def test_training_session_provides_model_states_pytorch_format(onnx_model_mock): trainer = _create_trainer() model_states = { 'full_precision': { 'a': np.arange(5), 'b': np.arange(7) } } training_session_mock = _training_session_mock(model_states, {}, {}) trainer._training_session = training_session_mock trainer._onnx_model = onnx_model_mock() state_dict = trainer.state_dict(pytorch_format=True) assert torch.all(torch.eq(state_dict['a'], torch.tensor(np.arange(5)))) assert torch.all(torch.eq(state_dict['b'], torch.tensor(np.arange(7)))) @patch('onnx.ModelProto') def test_onnx_graph_provides_frozen_model_states(onnx_model_mock): trainer = _create_trainer() model_states = { 'full_precision': { 'a': np.arange(5), 'b': np.arange(7) } } training_session_mock = _training_session_mock(model_states, {}, {}) trainer._training_session = training_session_mock trainer._onnx_model = onnx_model_mock() trainer.options.utils.frozen_weights = ['a_frozen_weight', 'a_float16_weight'] trainer._onnx_model.graph.initializer = [ onnx.numpy_helper.from_array(np.array([1, 2, 3], dtype=np.float32), 'a_frozen_weight'), onnx.numpy_helper.from_array(np.array([4, 5, 6], dtype=np.float32), 'a_non_fronzen_weight'), onnx.numpy_helper.from_array(np.array([7, 8, 9], dtype=np.float16), 'a_float16_weight') ] state_dict = trainer.state_dict() assert (state_dict['model']['full_precision']['a'] == np.arange(5)).all() assert (state_dict['model']['full_precision']['b'] == np.arange(7)).all() assert (state_dict['model']['full_precision']['a_frozen_weight'] == np.array([1, 2, 3], dtype=np.float32)).all() assert 'a_non_fronzen_weight' not in state_dict['model']['full_precision'] assert (state_dict['model']['full_precision']['a_float16_weight'] == np.array([7, 8, 9], dtype=np.float32)).all() @patch('onnx.ModelProto') def test_training_session_provides_empty_optimizer_states(onnx_model_mock): trainer = _create_trainer() training_session_mock = _training_session_mock({}, {}, {}) trainer._training_session = training_session_mock trainer._onnx_model = onnx_model_mock() state_dict = trainer.state_dict() assert len(state_dict['optimizer'].keys()) == 0 @patch('onnx.ModelProto') def test_training_session_provides_optimizer_states(onnx_model_mock): trainer = _create_trainer() optimizer_states = { 'model_weight': { 'Moment_1': np.arange(5), 'Moment_2': np.arange(7) }, 'shared_optimizer_state': { 'step': np.arange(1) } } training_session_mock = _training_session_mock({}, optimizer_states, {}) trainer._training_session = training_session_mock trainer._onnx_model = onnx_model_mock() state_dict = trainer.state_dict() assert (state_dict['optimizer']['model_weight']['Moment_1'] == np.arange(5)).all() assert (state_dict['optimizer']['model_weight']['Moment_2'] == np.arange(7)).all() assert (state_dict['optimizer']['shared_optimizer_state']['step'] == np.arange(1)).all() @patch('onnx.ModelProto') def test_training_session_provides_optimizer_states_pytorch_format(onnx_model_mock): trainer = _create_trainer() model_states = { 'full_precision': { 'a': np.arange(5), 'b': np.arange(7) } } optimizer_states = { 'model_weight': { 'Moment_1': np.arange(5), 'Moment_2': np.arange(7) }, 'shared_optimizer_state': { 'step': np.arange(1) } } training_session_mock = _training_session_mock(model_states, optimizer_states, {}) trainer._training_session = training_session_mock trainer._onnx_model = onnx_model_mock() state_dict = trainer.state_dict(pytorch_format=True) assert 'optimizer' not in state_dict @patch('onnx.ModelProto') def test_training_session_provides_empty_partition_info_map(onnx_model_mock): trainer = _create_trainer(zero_enabled=True) training_session_mock = _training_session_mock({}, {}, {}) trainer._training_session = training_session_mock trainer._onnx_model = onnx_model_mock() state_dict = trainer.state_dict() assert len(state_dict['partition_info'].keys()) == 0 @patch('onnx.ModelProto') def test_training_session_provides_partition_info_map(onnx_model_mock): trainer = _create_trainer(zero_enabled=True) partition_info = { 'a': { 'original_dim': [1, 2, 3] } } training_session_mock = _training_session_mock({}, {}, partition_info) trainer._training_session = training_session_mock trainer._onnx_model = onnx_model_mock() state_dict = trainer.state_dict() assert state_dict['partition_info']['a']['original_dim'] == [1, 2, 3] @patch('onnx.ModelProto') def test_training_session_provides_all_states(onnx_model_mock): trainer = _create_trainer(zero_enabled=True) model_states = { 'full_precision': { 'a': np.arange(5), 'b': np.arange(7) } } optimizer_states = { 'model_weight': { 'Moment_1': np.arange(5), 'Moment_2': np.arange(7) }, 'shared_optimizer_state': { 'step': np.arange(1) } } partition_info = { 'a': { 'original_dim': [1, 2, 3] } } training_session_mock = _training_session_mock(model_states, optimizer_states, partition_info) trainer._training_session = training_session_mock trainer._onnx_model = onnx_model_mock() state_dict = trainer.state_dict() assert (state_dict['model']['full_precision']['a'] == np.arange(5)).all() assert (state_dict['model']['full_precision']['b'] == np.arange(7)).all() assert (state_dict['optimizer']['model_weight']['Moment_1'] == np.arange(5)).all() assert (state_dict['optimizer']['model_weight']['Moment_2'] == np.arange(7)).all() assert (state_dict['optimizer']['shared_optimizer_state']['step'] == np.arange(1)).all() assert state_dict['partition_info']['a']['original_dim'] == [1, 2, 3] def test_load_state_dict_holds_when_training_session_not_initialized(): trainer = _create_trainer() state_dict = { 'model': { 'full_precision': { 'a': np.arange(5), 'b': np.arange(7) } }, 'optimizer': { 'a': { 'Moment_1': np.arange(5), 'Moment_2': np.arange(7) }, 'shared_optimizer_state': { 'step': np.arange(5) } } } assert not trainer._load_state_dict state_dict = trainer.load_state_dict(state_dict) assert trainer._load_state_dict @pytest.mark.parametrize("state_dict, input_state_dict, error_key", [ ({ 'model':{}, 'optimizer':{} }, { 'model':{}, 'optimizer':{}, 'trainer_options': { 'optimizer_name': 'LambOptimizer' } }, 'train_step_info'), ({ 'optimizer':{}, 'train_step_info': { 'optimization_step': 0, 'step': 0 } }, { 'optimizer':{}, 'trainer_options': { 'optimizer_name': 'LambOptimizer' }, 'train_step_info': { 'optimization_step': 0, 'step': 0 } }, 'model'), ({ 'model':{}, 'train_step_info': { 'optimization_step': 0, 'step': 0 } }, { 'model':{}, 'trainer_options': { 'optimizer_name': 'LambOptimizer' }, 'train_step_info': { 'optimization_step': 0, 'step': 0 } }, 'optimizer')]) def test_load_state_dict_warns_when_model_optimizer_key_missing(state_dict, input_state_dict, error_key): trainer = _create_trainer() trainer._training_session = _training_session_mock({}, {}, {}) trainer.state_dict = Mock(return_value=state_dict) trainer._update_onnx_model_initializers = Mock() trainer._init_session = Mock() with patch('onnx.ModelProto') as onnx_model_mock: trainer._onnx_model = onnx_model_mock() trainer._onnx_model.graph.initializer = [] with pytest.warns(UserWarning) as user_warning: trainer.load_state_dict(input_state_dict) assert user_warning[0].message.args[0] == "Missing key: {} in state_dict".format(error_key) @pytest.mark.parametrize("state_dict, input_state_dict, error_keys", _get_load_state_dict_strict_error_arguments()) def test_load_state_dict_errors_when_state_dict_mismatch(state_dict, input_state_dict, error_keys): trainer = _create_trainer() trainer._training_session = _training_session_mock({}, {}, {}) trainer.state_dict = Mock(return_value=state_dict) with pytest.raises(RuntimeError) as runtime_error: trainer.load_state_dict(input_state_dict) assert any(key in str(runtime_error.value) for key in error_keys) @patch('onnx.ModelProto') def test_load_state_dict_loads_the_states_and_inits_training_session(onnx_model_mock): trainer = _create_trainer() training_session_state_dict = { 'model': { 'full_precision': { 'a': np.arange(5), 'b': np.arange(7) } }, 'optimizer': { 'a': { 'Moment_1': np.arange(5), 'Moment_2': np.arange(7) }, 'shared_optimizer_state': { 'step': np.arange(1) } } } input_state_dict = { 'model': { 'full_precision': { 'a': np.array([1, 2]), 'b': np.array([3, 4]) } }, 'optimizer': { 'a': { 'Moment_1': np.array([5, 6]), 'Moment_2': np.array([7, 8]) }, 'shared_optimizer_state': { 'step': np.array([9]) } }, 'trainer_options': { 'optimizer_name': 'LambOptimizer' } } trainer._training_session = _training_session_mock({}, {}, {}) trainer.state_dict = Mock(return_value=training_session_state_dict) trainer._onnx_model = onnx_model_mock() trainer._onnx_model.graph.initializer = [ onnx.numpy_helper.from_array(np.arange(20, dtype=np.float32), 'a'), onnx.numpy_helper.from_array(np.arange(25, dtype=np.float32), 'b') ] trainer._update_onnx_model_initializers = Mock() trainer._init_session = Mock() trainer.load_state_dict(input_state_dict) loaded_initializers, _ = trainer._update_onnx_model_initializers.call_args state_dict_to_load, _ = trainer._init_session.call_args assert 'a' in loaded_initializers[0] assert (loaded_initializers[0]['a'] == np.array([1, 2])).all() assert 'b' in loaded_initializers[0] assert (loaded_initializers[0]['b'] == np.array([3, 4])).all() assert (state_dict_to_load[0]['a']['Moment_1'] == np.array([5, 6])).all() assert (state_dict_to_load[0]['a']['Moment_2'] == np.array([7, 8])).all() assert (state_dict_to_load[0]['shared_optimizer_state']['step'] == np.array([9])).all() @patch('onnxruntime.training._checkpoint_storage.save') def test_save_checkpoint_calls_checkpoint_storage_save(save_mock): trainer = _create_trainer() state_dict = { 'model': {}, 'optimizer': {} } trainer.state_dict = Mock(return_value=state_dict) trainer.save_checkpoint('abc') save_args, _ = save_mock.call_args assert 'model' in save_args[0] assert not bool(save_args[0]['model']) assert 'optimizer' in save_args[0] assert not bool(save_args[0]['optimizer']) assert save_args[1] == 'abc' @patch('onnxruntime.training._checkpoint_storage.save') def test_save_checkpoint_exclude_optimizer_states(save_mock): trainer = _create_trainer() state_dict = { 'model': {}, 'optimizer': {} } trainer.state_dict = Mock(return_value=state_dict) trainer.save_checkpoint('abc', include_optimizer_states=False) save_args, _ = save_mock.call_args assert 'model' in save_args[0] assert not bool(save_args[0]['model']) assert 'optimizer' not in save_args[0] assert save_args[1] == 'abc' @patch('onnxruntime.training._checkpoint_storage.save') def test_save_checkpoint_user_dict(save_mock): trainer = _create_trainer() state_dict = { 'model': {}, 'optimizer': {} } trainer.state_dict = Mock(return_value=state_dict) trainer.save_checkpoint('abc', user_dict={'abc': np.arange(4)}) save_args, _ = save_mock.call_args assert 'user_dict' in save_args[0] assert save_args[0]['user_dict'] == _checkpoint_storage.to_serialized_hex({'abc': np.arange(4)}) @patch('onnxruntime.training._checkpoint_storage.load') @patch('onnxruntime.training.checkpoint.aggregate_checkpoints') def test_load_checkpoint(aggregate_checkpoints_mock, load_mock): trainer = _create_trainer() trainer_options = { 'mixed_precision': np.bool_(False), 'world_rank': np.int64(0), 'world_size': np.int64(1), 'horizontal_parallel_size' : np.int64(1), 'data_parallel_size' : np.int64(1), 'zero_stage': np.int64(0) } state_dict = { 'model': {}, 'optimizer': {}, 'trainer_options': { 'mixed_precision': np.bool_(False), 'world_rank': np.int64(0), 'world_size': np.int64(1), 'horizontal_parallel_size' : np.int64(1), 'data_parallel_size' : np.int64(1), 'zero_stage': np.int64(0) } } trainer.load_state_dict = Mock() load_mock.side_effect = [trainer_options, state_dict] trainer.load_checkpoint('abc') args_list = load_mock.call_args_list load_args, load_kwargs = args_list[0] assert load_args[0] == 'abc' assert load_kwargs['key'] == 'trainer_options' load_args, load_kwargs = args_list[1] assert load_args[0] == 'abc' assert 'key' not in load_kwargs assert not aggregate_checkpoints_mock.called @patch('onnxruntime.training._checkpoint_storage.load') @patch('onnxruntime.training.checkpoint.aggregate_checkpoints') @pytest.mark.parametrize("trainer_options", [ { 'mixed_precision': np.bool_(False), 'world_rank': np.int64(0), 'world_size': np.int64(4), 'horizontal_parallel_size' : np.int64(1), 'data_parallel_size' : np.int64(4), 'zero_stage': np.int64(1) }, { 'mixed_precision': np.bool_(True), 'world_rank': np.int64(0), 'world_size': np.int64(1), 'horizontal_parallel_size' : np.int64(1), 'data_parallel_size' : np.int64(1), 'zero_stage': np.int64(1) }, { 'mixed_precision': np.bool_(True), 'world_rank': np.int64(0), 'world_size': np.int64(1), 'horizontal_parallel_size' : np.int64(1), 'data_parallel_size' : np.int64(1), 'zero_stage': np.int64(1) } ]) def test_load_checkpoint_aggregation_required_zero_enabled(aggregate_checkpoints_mock, load_mock, trainer_options): trainer = _create_trainer() trainer.load_state_dict = Mock() load_mock.side_effect = [trainer_options] trainer.load_checkpoint('abc') args_list = load_mock.call_args_list load_args, load_kwargs = args_list[0] assert load_args[0] == 'abc' assert load_kwargs['key'] == 'trainer_options' assert aggregate_checkpoints_mock.called call_args, _ = aggregate_checkpoints_mock.call_args assert call_args[0] == tuple(['abc']) @patch('onnxruntime.training._checkpoint_storage.load') @patch('onnxruntime.training.checkpoint.aggregate_checkpoints') def test_load_checkpoint_user_dict(aggregate_checkpoints_mock, load_mock): trainer = _create_trainer() trainer_options = { 'mixed_precision': np.bool_(False), 'world_rank': np.int64(0), 'world_size': np.int64(1), 'horizontal_parallel_size': np.int64(1), 'data_parallel_size': np.int64(1), 'zero_stage': np.int64(0) } state_dict = { 'model': {}, 'optimizer': {}, 'trainer_options': { 'mixed_precision': np.bool_(False), 'world_rank': np.int64(0), 'world_size': np.int64(1), 'horizontal_parallel_size': np.int64(1), 'data_parallel_size': np.int64(1), 'zero_stage': np.int64(0) }, 'user_dict': _checkpoint_storage.to_serialized_hex({'array': torch.tensor(np.arange(5))}) } trainer.load_state_dict = Mock() load_mock.side_effect = [trainer_options, state_dict] user_dict = trainer.load_checkpoint('abc') assert torch.all(torch.eq(user_dict['array'], torch.tensor(np.arange(5)))) @patch('onnxruntime.training._checkpoint_storage.load') def test_checkpoint_aggregation(load_mock): trainer_options1 = { 'mixed_precision': np.bool_(False), 'world_rank': np.int64(0), 'world_size': np.int64(2), 'horizontal_parallel_size' : np.int64(1), 'data_parallel_size' : np.int64(2), 'zero_stage': np.int64(1), 'optimizer_name': b'Adam' } trainer_options2 = { 'mixed_precision': np.bool_(False), 'world_rank': np.int64(1), 'world_size': np.int64(2), 'horizontal_parallel_size' : np.int64(1), 'data_parallel_size' : np.int64(2), 'zero_stage': np.int64(1), 'optimizer_name': b'Adam' } state_dict1 = { 'model': { 'full_precision': { 'optimizer_sharded': np.array([1, 2, 3]), 'non_sharded': np.array([11, 22, 33]) } }, 'optimizer': { 'optimizer_sharded': { 'Moment_1': np.array([9, 8, 7]), 'Moment_2': np.array([99, 88, 77]), 'Step': np.array([5]) }, 'non_sharded': { 'Moment_1': np.array([666, 555, 444]), 'Moment_2': np.array([6666, 5555, 4444]), 'Step': np.array([55]) } }, 'trainer_options': { 'mixed_precision': np.bool_(False), 'world_rank': np.int64(0), 'world_size': np.int64(1), 'horizontal_parallel_size' : np.int64(1), 'data_parallel_size' : np.int64(1), 'zero_stage': np.int64(0), 'optimizer_name': b'Adam' }, 'partition_info': { 'optimizer_sharded': {'original_dim': np.array([2, 3])} } } state_dict2 = { 'model': { 'full_precision': { 'optimizer_sharded': np.array([1, 2, 3]), 'non_sharded': np.array([11, 22, 33]) } }, 'optimizer': { 'optimizer_sharded': { 'Moment_1': np.array([6, 5, 4]), 'Moment_2': np.array([66, 55, 44]), 'Step': np.array([5]) }, 'non_sharded': { 'Moment_1': np.array([666, 555, 444]), 'Moment_2': np.array([6666, 5555, 4444]), 'Step': np.array([55]) } }, 'trainer_options': { 'mixed_precision': np.bool_(False), 'world_rank': np.int64(1), 'world_size': np.int64(1), 'horizontal_parallel_size' : np.int64(1), 'data_parallel_size' : np.int64(1), 'zero_stage': np.int64(0), 'optimizer_name': b'Adam' }, 'partition_info': { 'optimizer_sharded': {'original_dim': np.array([2, 3])} } } load_mock.side_effect = [trainer_options1, trainer_options2, trainer_options1, state_dict1, state_dict2] state_dict = checkpoint.aggregate_checkpoints(['abc', 'def'], pytorch_format=False) assert (state_dict['model']['full_precision']['optimizer_sharded'] == np.array([1, 2, 3])).all() assert (state_dict['model']['full_precision']['non_sharded'] == np.array([11, 22, 33])).all() assert (state_dict['optimizer']['optimizer_sharded']['Moment_1'] == np.array([[9, 8, 7], [6, 5, 4]])).all() assert (state_dict['optimizer']['optimizer_sharded']['Moment_2'] == np.array([[99, 88, 77], [66, 55, 44]])).all() assert (state_dict['optimizer']['optimizer_sharded']['Step'] == np.array([5])).all() assert (state_dict['optimizer']['non_sharded']['Moment_1'] == np.array([666, 555, 444])).all() assert (state_dict['optimizer']['non_sharded']['Moment_2'] == np.array([6666, 5555, 4444])).all() assert (state_dict['optimizer']['non_sharded']['Step'] == np.array([55])).all() assert state_dict['trainer_options']['mixed_precision'] == False assert state_dict['trainer_options']['world_rank'] == 0 assert state_dict['trainer_options']['world_size'] == 1 assert state_dict['trainer_options']['horizontal_parallel_size'] == 1 assert state_dict['trainer_options']['data_parallel_size'] == 1 assert state_dict['trainer_options']['zero_stage'] == 0 assert state_dict['trainer_options']['optimizer_name'] == b'Adam' @patch('onnxruntime.training._checkpoint_storage.load') def test_checkpoint_aggregation_mixed_precision(load_mock): trainer_options1 = { 'mixed_precision': np.bool_(True), 'world_rank': np.int64(0), 'world_size': np.int64(2), 'horizontal_parallel_size': np.int64(1), 'data_parallel_size': np.int64(2), 'zero_stage': np.int64(1), 'optimizer_name': b'Adam' } trainer_options2 = { 'mixed_precision': np.bool_(True), 'world_rank': np.int64(1), 'world_size': np.int64(2), 'horizontal_parallel_size': np.int64(1), 'data_parallel_size': np.int64(2), 'zero_stage': np.int64(1), 'optimizer_name': b'Adam' } state_dict1 = { 'model': { 'full_precision': { 'sharded': np.array([1, 2, 3]), 'non_sharded': np.array([11, 22, 33]) } }, 'optimizer': { 'sharded': { 'Moment_1': np.array([9, 8, 7]), 'Moment_2': np.array([99, 88, 77]), 'Step': np.array([5]) }, 'non_sharded': { 'Moment_1': np.array([666, 555, 444]), 'Moment_2': np.array([6666, 5555, 4444]), 'Step': np.array([55]) } }, 'trainer_options': { 'mixed_precision': np.bool_(True), 'world_rank': np.int64(0), 'world_size': np.int64(1), 'horizontal_parallel_size': np.int64(1), 'data_parallel_size': np.int64(1), 'zero_stage': np.int64(0), 'optimizer_name': b'Adam' }, 'partition_info': { 'sharded': {'original_dim': np.array([2, 3])} } } state_dict2 = { 'model': { 'full_precision': { 'sharded': np.array([4, 5, 6]), 'non_sharded': np.array([11, 22, 33]) } }, 'optimizer': { 'sharded': { 'Moment_1': np.array([6, 5, 4]), 'Moment_2': np.array([66, 55, 44]), 'Step': np.array([5]) }, 'non_sharded': { 'Moment_1': np.array([666, 555, 444]), 'Moment_2': np.array([6666, 5555, 4444]), 'Step': np.array([55]) } }, 'trainer_options': { 'mixed_precision': np.bool_(True), 'world_rank': np.int64(1), 'world_size': np.int64(1), 'horizontal_parallel_size': np.int64(1), 'data_parallel_size': np.int64(1), 'zero_stage': np.int64(0), 'optimizer_name': b'Adam' }, 'partition_info': { 'sharded': {'original_dim': np.array([2, 3])} } } load_mock.side_effect = [trainer_options1, trainer_options2, trainer_options1, state_dict1, state_dict2] state_dict = checkpoint.aggregate_checkpoints(['abc', 'def'], pytorch_format=False) assert (state_dict['model']['full_precision']['sharded'] == np.array([[1, 2, 3], [4, 5, 6]])).all() assert (state_dict['model']['full_precision']['non_sharded'] == np.array([11, 22, 33])).all() assert (state_dict['optimizer']['sharded']['Moment_1'] == np.array([[9, 8, 7], [6, 5, 4]])).all() assert (state_dict['optimizer']['sharded']['Moment_2'] == np.array([[99, 88, 77], [66, 55, 44]])).all() assert (state_dict['optimizer']['sharded']['Step'] == np.array([5])).all() assert (state_dict['optimizer']['non_sharded']['Moment_1'] == np.array([666, 555, 444])).all() assert (state_dict['optimizer']['non_sharded']['Moment_2'] == np.array([6666, 5555, 4444])).all() assert (state_dict['optimizer']['non_sharded']['Step'] == np.array([55])).all() assert state_dict['trainer_options']['mixed_precision'] == True assert state_dict['trainer_options']['world_rank'] == 0 assert state_dict['trainer_options']['world_size'] == 1 assert state_dict['trainer_options']['horizontal_parallel_size'] == 1 assert state_dict['trainer_options']['data_parallel_size'] == 1 assert state_dict['trainer_options']['zero_stage'] == 0 assert state_dict['trainer_options']['optimizer_name'] == b'Adam'

37.647619

148

0.611561

3,742

31,624

4.815874

0.064137

0.075412

0.040786

0.023306

0.838633

0.813773

0.789301

0.736974

0.697464

0.67044

0

0.031847

0.238427

31,624

839

149

37.692491

0.716409

0.018846

0

0.616

0

0.207079

0.043816

0

0.116

1

0.038667

false

0

0.009333

0.004

0.056

0

null

0

1

0

1

0

null

0

5

ea1e8f3e59a2502d167add15ee1ef7df59cd09ce

379

py

Python

erica/domain/BackgroundJobs/BackgroundJobInterface.py

punknoir101/erica-1

675a6280d38ca5b56946af6f3ed7e295ba896db0

[ "MIT" ]

null

erica/domain/BackgroundJobs/BackgroundJobInterface.py

punknoir101/erica-1

675a6280d38ca5b56946af6f3ed7e295ba896db0

[ "MIT" ]

null

erica/domain/BackgroundJobs/BackgroundJobInterface.py

punknoir101/erica-1

675a6280d38ca5b56946af6f3ed7e295ba896db0

[ "MIT" ]

null

from abc import ABCMeta, abstractmethod class BackgroundJobInterface: __metaclass__ = ABCMeta @abstractmethod def enqueue(self, f, *args, **kwargs): pass @abstractmethod def scheduled_enqueue(self): pass @abstractmethod def get_enqueued_job_by_id(self): pass @abstractmethod def list_all_jobs(self): pass

17.227273

42

0.662269

39

379

6.153846

0.615385

0.283333

0.2625

0.208333

0

0.271768

379

21

43

18.047619

0.869565

0

0.533333

0

1

0.266667

false

0.266667

0.066667

0

0.466667

0

null

1

0

null

0

1

0

1

0

5

ea6c325ef1569aaff98b9c5edf3c0ebf6cb13acd

45

py

Python

pyalt/gui/__main__.py

demian-wolf/Alternativa-PC-Client

24e1136ef006268b9afe46512c69c7354b2c1b60

[ "MIT" ]

null

pyalt/gui/__main__.py

demian-wolf/Alternativa-PC-Client

24e1136ef006268b9afe46512c69c7354b2c1b60

[ "MIT" ]

null

pyalt/gui/__main__.py

demian-wolf/Alternativa-PC-Client

24e1136ef006268b9afe46512c69c7354b2c1b60

[ "MIT" ]

null

from .journal import Main Main().mainloop()

11.25

25

0.733333

6

45

5.5

0.833333

0

0.133333

45

3

26

15

0.846154

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

57a50a9c9bcc8b47f1e0e0f3e6a18b367cd81839

51

py

Python

sepc/self_mmdet/models/__init__.py

implus/SEPC

51e24ace1653cba6d3bc0ab536c6adb3b956c8dd

[ "Apache-2.0" ]

2

2020-04-27T06:30:32.000Z

2020-04-27T06:30:34.000Z

sepc/self_mmdet/models/__init__.py

yhl41001/SEPC

51e24ace1653cba6d3bc0ab536c6adb3b956c8dd

[ "Apache-2.0" ]

null

sepc/self_mmdet/models/__init__.py

yhl41001/SEPC

51e24ace1653cba6d3bc0ab536c6adb3b956c8dd

[ "Apache-2.0" ]

1

2021-03-23T01:39:30.000Z

from .anchor_heads import * from .necks import sepc

25.5

27

0.803922

8

51

5

0.75

0

0.137255

51

2

28

25.5

0.909091

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

57bafef27aedcc92a9f9359583bd93eb4fa1df87

41,119

py

Python

tests/config_test.py

tomcallahan/rally

4d05fa88ea0920ec1f3178c3705201a53f6420db

[ "Apache-2.0" ]

null

tests/config_test.py

tomcallahan/rally

4d05fa88ea0920ec1f3178c3705201a53f6420db

[ "Apache-2.0" ]

null

tests/config_test.py

tomcallahan/rally

4d05fa88ea0920ec1f3178c3705201a53f6420db

[ "Apache-2.0" ]

null

import os import configparser from unittest import TestCase import unittest.mock as mock from esrally import config from esrally.utils import io class MockInput: def __init__(self, inputs): self.inputs = iter(inputs) def __call__(self, *args, **kwargs): null_output(*args, **kwargs) v = next(self.inputs) null_output(v) return v def null_output(*args, **kwargs): # print(*args, **kwargs) pass class InMemoryConfigStore: def __init__(self, config_name, config=None, backup_created=False, present=False): self.config_name = config_name # support initialization from a dict if config: self.config = configparser.ConfigParser() self.config.read_dict(config) else: self.config = config self.backup_created = backup_created self.present = present self.location = "in-memory" self.config_dir = "in-memory" def backup(self): self.backup_created = True def store(self, c): self.present = True self.config = configparser.ConfigParser() self.config.read_dict(c) def load(self, interpolation=None): # interpolation is not supported in tests, we just mimic the interface return self.config class ConfigTests(TestCase): def test_load_non_existing_config(self): cfg = config.Config(config_file_class=InMemoryConfigStore) self.assertFalse(cfg.config_present()) # standard properties are still available self.assertEqual("rally-node", cfg.opts("provisioning", "node.name.prefix")) def test_load_existing_config(self): cfg = config.Config(config_file_class=InMemoryConfigStore) self.assertFalse(cfg.config_present()) sample_config = { "tests": { "sample.key": "value" }, "meta": { "config.version": config.Config.CURRENT_CONFIG_VERSION } } cfg.config_file.store(sample_config) self.assertTrue(cfg.config_present()) cfg.load_config() # standard properties are still available self.assertEqual("rally-node", cfg.opts("provisioning", "node.name.prefix")) self.assertEqual("value", cfg.opts("tests", "sample.key")) # we can also override values cfg.add(config.Scope.applicationOverride, "tests", "sample.key", "override") self.assertEqual("override", cfg.opts("tests", "sample.key")) def test_load_all_opts_in_section(self): cfg = config.Config(config_file_class=InMemoryConfigStore) self.assertFalse(cfg.config_present()) sample_config = { "distributions": { "release.url": "https://acme.com/releases", "release.cache": "true", "snapshot.url": "https://acme.com/snapshots", "snapshot.cache": "false" }, "system": { "env.name": "local" }, "meta": { "config.version": config.Config.CURRENT_CONFIG_VERSION } } cfg.config_file.store(sample_config) self.assertTrue(cfg.config_present()) cfg.load_config() # override a value so we can see that the scoping logic still works. Default is scope "application" cfg.add(config.Scope.applicationOverride, "distributions", "snapshot.cache", "true") self.assertEqual({ "release.url": "https://acme.com/releases", "release.cache": "true", "snapshot.url": "https://acme.com/snapshots", # overridden! "snapshot.cache": "true" }, cfg.all_opts("distributions")) def test_add_all_in_section(self): source_cfg = config.Config(config_file_class=InMemoryConfigStore) sample_config = { "tests": { "sample.key": "value", "sample.key2": "value" }, "no_copy": { "other.key": "value" }, "meta": { "config.version": config.Config.CURRENT_CONFIG_VERSION } } source_cfg.config_file.store(sample_config) source_cfg.load_config() target_cfg = config.Config(config_file_class=InMemoryConfigStore) self.assertIsNone(target_cfg.opts("tests", "sample.key", mandatory=False)) target_cfg.add_all(source=source_cfg, section="tests") self.assertEqual("value", target_cfg.opts("tests", "sample.key")) self.assertIsNone(target_cfg.opts("no_copy", "other.key", mandatory=False)) # nonexisting key will not throw an error target_cfg.add_all(source=source_cfg, section="this section does not exist") class AutoLoadConfigTests(TestCase): def test_can_create_non_existing_config(self): base_cfg = config.Config(config_name="unittest", config_file_class=InMemoryConfigStore) base_cfg.add(config.Scope.application, "meta", "config.version", config.Config.CURRENT_CONFIG_VERSION) base_cfg.add(config.Scope.application, "benchmarks", "local.dataset.cache", "/base-config/data-set-cache") base_cfg.add(config.Scope.application, "reporting", "datastore.type", "elasticsearch") base_cfg.add(config.Scope.application, "tracks", "metrics.url", "http://github.com/org/metrics") base_cfg.add(config.Scope.application, "teams", "private.url", "http://github.com/org/teams") base_cfg.add(config.Scope.application, "distributions", "release.cache", False) base_cfg.add(config.Scope.application, "defaults", "preserve_benchmark_candidate", True) cfg = config.auto_load_local_config(base_cfg, config_file_class=InMemoryConfigStore) self.assertTrue(cfg.config_file.present) # did not just copy base config self.assertNotEqual(base_cfg.opts("benchmarks", "local.dataset.cache"), cfg.opts("benchmarks", "local.dataset.cache")) # copied sections from base config self.assert_equals_base_config(base_cfg, cfg, "reporting", "datastore.type") self.assert_equals_base_config(base_cfg, cfg, "tracks", "metrics.url") self.assert_equals_base_config(base_cfg, cfg, "teams", "private.url") self.assert_equals_base_config(base_cfg, cfg, "distributions", "release.cache") self.assert_equals_base_config(base_cfg, cfg, "defaults", "preserve_benchmark_candidate") def test_can_load_and_amend_existing_config(self): base_cfg = config.Config(config_name="unittest", config_file_class=InMemoryConfigStore) base_cfg.add(config.Scope.application, "meta", "config.version", config.Config.CURRENT_CONFIG_VERSION) base_cfg.add(config.Scope.application, "benchmarks", "local.dataset.cache", "/base-config/data-set-cache") base_cfg.add(config.Scope.application, "unit-test", "sample.property", "let me copy you") cfg = config.auto_load_local_config(base_cfg, additional_sections=["unit-test"], config_file_class=InMemoryConfigStore, present=True, config={ "distributions": { "release.url": "https://acme.com/releases", "release.cache": "true", }, "system": { "env.name": "existing-unit-test-config" }, "meta": { "config.version": config.Config.CURRENT_CONFIG_VERSION }, "benchmarks": { "local.dataset.cache": "/tmp/rally/data" } }) self.assertTrue(cfg.config_file.present) # did not just copy base config self.assertNotEqual(base_cfg.opts("benchmarks", "local.dataset.cache"), cfg.opts("benchmarks", "local.dataset.cache")) # keeps config properties self.assertEqual("existing-unit-test-config", cfg.opts("system", "env.name")) # copies additional properties self.assert_equals_base_config(base_cfg, cfg, "unit-test", "sample.property") def test_can_migrate_outdated_config(self): base_cfg = config.Config(config_name="unittest", config_file_class=InMemoryConfigStore) base_cfg.add(config.Scope.application, "meta", "config.version", config.Config.CURRENT_CONFIG_VERSION) base_cfg.add(config.Scope.application, "benchmarks", "local.dataset.cache", "/base-config/data-set-cache") base_cfg.add(config.Scope.application, "unit-test", "sample.property", "let me copy you") cfg = config.auto_load_local_config(base_cfg, additional_sections=["unit-test"], config_file_class=InMemoryConfigStore, present=True, config={ "distributions": { "release.url": "https://acme.com/releases", "release.cache": "true", }, "system": { "env.name": "existing-unit-test-config" }, # outdated "meta": { "config.version": config.Config.CURRENT_CONFIG_VERSION - 1 }, "benchmarks": { "local.dataset.cache": "/tmp/rally/data" }, "runtime": { "java8.home": "/opt/jdk8" } }) self.assertTrue(cfg.config_file.present) # did not just copy base config self.assertNotEqual(base_cfg.opts("benchmarks", "local.dataset.cache"), cfg.opts("benchmarks", "local.dataset.cache")) # migrated existing config self.assertEqual(config.Config.CURRENT_CONFIG_VERSION, int(cfg.opts("meta", "config.version"))) def assert_equals_base_config(self, base_config, local_config, section, key): self.assertEqual(base_config.opts(section, key), local_config.opts(section, key)) class ConfigFactoryTests(TestCase): @mock.patch("esrally.utils.git.is_working_copy") @mock.patch("esrally.utils.jvm.is_early_access_release") @mock.patch("esrally.utils.io.guess_java_home") @mock.patch("esrally.utils.io.guess_install_location") def test_create_simple_config(self, guess_install_location, guess_java_home, is_ea_release, working_copy): guess_install_location.side_effect = ["/tests/usr/bin/git", "/tests/usr/bin/gradle"] guess_java_home.return_value = "/tests/java9/home" is_ea_release.return_value = False # Rally checks in the parent and sibling directories whether there is an ES working copy. We don't want this detection logic # to succeed spuriously (e.g. on developer machines). working_copy.return_value = False mock_input = MockInput([""]) f = config.ConfigFactory(i=mock_input, sec_i=mock_input, o=null_output) config_store = InMemoryConfigStore("test") f.create_config(config_store) self.assertIsNotNone(config_store.config) for section, _ in config_store.config.items(): for k, v in config_store.config[section].items(): print("%s::%s: %s" % (section, k, v)) self.assertTrue("meta" in config_store.config) self.assertEqual("13", config_store.config["meta"]["config.version"]) self.assertTrue("system" in config_store.config) self.assertEqual("local", config_store.config["system"]["env.name"]) self.assertTrue("node" in config_store.config) self.assertEqual(io.normalize_path(os.path.abspath("./in-memory/benchmarks")), config_store.config["node"]["root.dir"]) self.assertEqual(io.normalize_path(os.path.abspath("./in-memory/benchmarks/src")), config_store.config["node"]["src.root.dir"]) self.assertTrue("source" in config_store.config) self.assertEqual("https://github.com/elastic/elasticsearch.git", config_store.config["source"]["remote.repo.url"]) self.assertEqual("elasticsearch", config_store.config["source"]["elasticsearch.src.subdir"]) self.assertTrue("build" in config_store.config) self.assertEqual("/tests/usr/bin/gradle", config_store.config["build"]["gradle.bin"]) self.assertTrue("runtime" in config_store.config) self.assertEqual("/tests/java9/home", config_store.config["runtime"]["java.home"]) self.assertEqual("/tests/java9/home", config_store.config["runtime"]["java9.home"]) self.assertTrue("benchmarks" in config_store.config) self.assertEqual("${node:root.dir}/data", config_store.config["benchmarks"]["local.dataset.cache"]) self.assertTrue("reporting" in config_store.config) self.assertEqual("in-memory", config_store.config["reporting"]["datastore.type"]) self.assertEqual("", config_store.config["reporting"]["datastore.host"]) self.assertEqual("", config_store.config["reporting"]["datastore.port"]) self.assertEqual("", config_store.config["reporting"]["datastore.secure"]) self.assertEqual("", config_store.config["reporting"]["datastore.user"]) self.assertEqual("", config_store.config["reporting"]["datastore.password"]) self.assertTrue("tracks" in config_store.config) self.assertEqual("https://github.com/elastic/rally-tracks", config_store.config["tracks"]["default.url"]) self.assertTrue("teams" in config_store.config) self.assertEqual("https://github.com/elastic/rally-teams", config_store.config["teams"]["default.url"]) self.assertTrue("defaults" in config_store.config) self.assertEqual("False", config_store.config["defaults"]["preserve_benchmark_candidate"]) self.assertTrue("distributions" in config_store.config) self.assertEqual("https://download.elasticsearch.org/elasticsearch/elasticsearch/elasticsearch-{{VERSION}}.tar.gz", config_store.config["distributions"]["release.1.url"]) self.assertEqual("https://download.elasticsearch.org/elasticsearch/release/org/elasticsearch/distribution/tar/elasticsearch/" "{{VERSION}}/elasticsearch-{{VERSION}}.tar.gz", config_store.config["distributions"]["release.2.url"]) self.assertEqual("https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-{{VERSION}}.tar.gz", config_store.config["distributions"]["release.url"]) self.assertEqual("true", config_store.config["distributions"]["release.cache"]) @mock.patch("esrally.utils.jvm.is_early_access_release") @mock.patch("esrally.utils.jvm.major_version") @mock.patch("esrally.utils.io.guess_java_home") @mock.patch("esrally.utils.io.guess_install_location") @mock.patch("esrally.utils.io.normalize_path") @mock.patch("os.path.exists") def test_create_simple_config_no_java_detected(self, path_exists, normalize_path, guess_install_location, guess_java_home, major_jvm_version, jvm_is_early_access_release): guess_install_location.side_effect = ["/tests/usr/bin/git", "/tests/usr/bin/gradle"] guess_java_home.return_value = None normalize_path.side_effect = ["/home/user/.rally/benchmarks", "/tests/java9/home", "/tests/java8/home", "/home/user/.rally/benchmarks/src"] major_jvm_version.return_value = 9 jvm_is_early_access_release.return_value = False path_exists.return_value = True f = config.ConfigFactory(i=MockInput(["/tests/java9/home", "/Projects/elasticsearch/src", "/tests/java8/home"]), o=null_output) config_store = InMemoryConfigStore("test") f.create_config(config_store) self.assertIsNotNone(config_store.config) self.assertTrue("runtime" in config_store.config) self.assertEqual("/tests/java8/home", config_store.config["runtime"]["java.home"]) @mock.patch("esrally.utils.io.guess_java_home") @mock.patch("esrally.utils.io.guess_install_location") def test_create_simple_config_no_java_installed(self, guess_install_location, guess_java_home): guess_install_location.side_effect = ["/tests/usr/bin/git", "/tests/usr/bin/gradle"] guess_java_home.return_value = None # the input is the question for the JDK home and the JDK 9 home directory - the user does not define one f = config.ConfigFactory(i=MockInput(["", ""]), o=null_output) config_store = InMemoryConfigStore("test") f.create_config(config_store) self.assertIsNotNone(config_store.config) self.assertFalse("java.home" in config_store.config["runtime"]) self.assertFalse("java9.home" in config_store.config["runtime"]) @mock.patch("esrally.utils.jvm.is_early_access_release") @mock.patch("esrally.utils.io.guess_java_home") @mock.patch("esrally.utils.io.guess_install_location") def test_create_advanced_config(self, guess_install_location, guess_java_home, is_ea_release): guess_install_location.side_effect = ["/tests/usr/bin/git", "/tests/usr/bin/gradle"] guess_java_home.side_effect = ["/tests/java8/home", "/tests/java9/home"] is_ea_release.return_value = False f = config.ConfigFactory(i=MockInput([ # benchmark root directory "/var/data/rally", # src dir "/Projects/elasticsearch/src", # metrics store type (Elasticsearch) "2", # data_store_host "localhost", # data_store_port "9200", # data_store_secure "Yes", # data_store_user "user", # env "unittest-env", # preserve benchmark candidate "y" ]), sec_i=MockInput(["pw"]), o=null_output) config_store = InMemoryConfigStore("test") f.create_config(config_store, advanced_config=True) self.assertIsNotNone(config_store.config) self.assertTrue("meta" in config_store.config) self.assertEqual("13", config_store.config["meta"]["config.version"]) self.assertTrue("system" in config_store.config) self.assertEqual("unittest-env", config_store.config["system"]["env.name"]) self.assertTrue("node" in config_store.config) self.assertEqual("/var/data/rally", config_store.config["node"]["root.dir"]) self.assertTrue("source" in config_store.config) self.assertTrue("build" in config_store.config) self.assertEqual("/tests/usr/bin/gradle", config_store.config["build"]["gradle.bin"]) self.assertTrue("runtime" in config_store.config) self.assertEqual("/tests/java8/home", config_store.config["runtime"]["java.home"]) self.assertEqual("/tests/java9/home", config_store.config["runtime"]["java9.home"]) self.assertTrue("benchmarks" in config_store.config) self.assertTrue("reporting" in config_store.config) self.assertEqual("elasticsearch", config_store.config["reporting"]["datastore.type"]) self.assertEqual("localhost", config_store.config["reporting"]["datastore.host"]) self.assertEqual("9200", config_store.config["reporting"]["datastore.port"]) self.assertEqual("True", config_store.config["reporting"]["datastore.secure"]) self.assertEqual("user", config_store.config["reporting"]["datastore.user"]) self.assertEqual("pw", config_store.config["reporting"]["datastore.password"]) self.assertTrue("tracks" in config_store.config) self.assertEqual("https://github.com/elastic/rally-tracks", config_store.config["tracks"]["default.url"]) self.assertTrue("teams" in config_store.config) self.assertEqual("https://github.com/elastic/rally-teams", config_store.config["teams"]["default.url"]) self.assertTrue("defaults" in config_store.config) self.assertEqual("True", config_store.config["defaults"]["preserve_benchmark_candidate"]) self.assertTrue("distributions" in config_store.config) self.assertEqual("https://download.elasticsearch.org/elasticsearch/elasticsearch/elasticsearch-{{VERSION}}.tar.gz", config_store.config["distributions"]["release.1.url"]) self.assertEqual("https://download.elasticsearch.org/elasticsearch/release/org/elasticsearch/distribution/tar/elasticsearch/" "{{VERSION}}/elasticsearch-{{VERSION}}.tar.gz", config_store.config["distributions"]["release.2.url"]) self.assertEqual("https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-{{VERSION}}.tar.gz", config_store.config["distributions"]["release.url"]) self.assertEqual("true", config_store.config["distributions"]["release.cache"]) class ConfigMigrationTests(TestCase): # catch all test, migrations are checked in more detail in the other tests @mock.patch("esrally.utils.io.get_size") @mock.patch("esrally.time.sleep") def test_migrate_from_0_to_latest(self, sleep, get_size): get_size.return_value = 0 config_file = InMemoryConfigStore("test") sample_config = { "system": { "root.dir": "in-memory" }, "provisioning": { }, "build": { "maven.bin": "/usr/local/mvn" }, "benchmarks": { "metrics.stats.disk.device": "/dev/hdd1" }, "reporting": { "report.base.dir": "/tests/rally/reporting", "output.html.report.filename": "index.html" }, "runtime": { "java8.home": "/opt/jdk/8", } } config_file.store(sample_config) config.migrate(config_file, 0, config.Config.CURRENT_CONFIG_VERSION, out=null_output) self.assertTrue(config_file.backup_created) self.assertEqual(str(config.Config.CURRENT_CONFIG_VERSION), config_file.config["meta"]["config.version"]) def test_migrate_from_2_to_3(self): config_file = InMemoryConfigStore("test") sample_config = { "meta": { "config.version": 2 }, "system": { "root.dir": "in-memory" }, "reporting": { "report.base.dir": "/tests/rally/reporting", "output.html.report.filename": "index.html" }, } config_file.store(sample_config) config.migrate(config_file, 2, 3, out=null_output) self.assertTrue(config_file.backup_created) self.assertEqual("3", config_file.config["meta"]["config.version"]) # Did not delete the section... self.assertTrue("reporting" in config_file.config) # ... but the key self.assertFalse("report.base.dir" in config_file.config["reporting"]) self.assertFalse("output.html.report.filename" in config_file.config["reporting"]) @mock.patch("esrally.utils.io.get_size") @mock.patch("esrally.time.sleep") def test_migrate_from_3_to_4(self, sleep, get_size): get_size.return_value = 0 config_file = InMemoryConfigStore("test") sample_config = { "meta": { "config.version": 3 }, "system": { "root.dir": "in-memory" }, "reporting": { "datastore.host": "" }, "build": { "maven.bin": "/usr/local/mvn" }, "benchmarks": { "metrics.stats.disk.device": "/dev/hdd1" } } config_file.store(sample_config) config.migrate(config_file, 3, 4, out=null_output) self.assertTrue(config_file.backup_created) self.assertEqual("4", config_file.config["meta"]["config.version"]) # Did not delete the section... self.assertTrue("build" in config_file.config) # ... but the key self.assertFalse("maven.bin" in config_file.config["build"]) self.assertTrue("benchmarks" in config_file.config) self.assertFalse("metrics.stats.disk.device" in config_file.config["benchmarks"]) self.assertEqual("in-memory", config_file.config["reporting"]["datastore.type"]) def test_migrate_from_4_to_5(self): config_file = InMemoryConfigStore("test") sample_config = { "meta": { "config.version": 4 } } config_file.store(sample_config) config.migrate(config_file, 4, 5, out=null_output) self.assertTrue(config_file.backup_created) self.assertEqual("5", config_file.config["meta"]["config.version"]) self.assertTrue("tracks" in config_file.config) self.assertEqual("https://github.com/elastic/rally-tracks", config_file.config["tracks"]["default.url"]) def test_migrate_from_5_to_6(self): config_file = InMemoryConfigStore("test") sample_config = { "meta": { "config.version": 5 } } config_file.store(sample_config) config.migrate(config_file, 5, 6, out=null_output) self.assertTrue(config_file.backup_created) self.assertEqual("6", config_file.config["meta"]["config.version"]) self.assertTrue("defaults" in config_file.config) self.assertEqual("False", config_file.config["defaults"]["preserve_benchmark_candidate"]) def test_migrate_from_6_to_7(self): config_file = InMemoryConfigStore("test") sample_config = { "meta": { "config.version": 6 }, "system": { "log.root.dir": "logs" }, "provisioning": { "local.install.dir": "install" }, } config_file.store(sample_config) config.migrate(config_file, 6, 7, out=null_output) self.assertTrue(config_file.backup_created) self.assertEqual("7", config_file.config["meta"]["config.version"]) self.assertTrue("provisioning" not in config_file.config) self.assertTrue("log.root.dir" not in config_file.config["system"]) def test_migrate_from_7_to_8(self): config_file = InMemoryConfigStore("test") sample_config = { "meta": { "config.version": 7 }, "system": { "root.dir": "~/.rally/benchmarks", "environment.name": "local" }, "benchmarks": { "local.dataset.cache": "${system:root.dir}/data", "some.other.cache": "/data" } } config_file.store(sample_config) config.migrate(config_file, 7, 8, out=null_output) self.assertTrue(config_file.backup_created) self.assertEqual("8", config_file.config["meta"]["config.version"]) self.assertTrue("root.dir" not in config_file.config["system"]) self.assertEqual("~/.rally/benchmarks", config_file.config["node"]["root.dir"]) self.assertEqual("local", config_file.config["system"]["environment.name"]) self.assertEqual("${node:root.dir}/data", config_file.config["benchmarks"]["local.dataset.cache"]) self.assertEqual("/data", config_file.config["benchmarks"]["some.other.cache"]) def test_migrate_from_8_to_9(self): config_file = InMemoryConfigStore("test") sample_config = { "meta": { "config.version": 8 }, "system": { "root.dir": "~/.rally/benchmarks", "environment.name": "local" }, "benchmarks": { "local.dataset.cache": "${system:root.dir}/data", "some.other.cache": "/data" } } config_file.store(sample_config) config.migrate(config_file, 8, 9, out=null_output) self.assertTrue(config_file.backup_created) self.assertEqual("9", config_file.config["meta"]["config.version"]) self.assertTrue("teams" in config_file.config) self.assertEqual("https://github.com/elastic/rally-teams", config_file.config["teams"]["default.url"]) def test_migrate_from_9_to_10(self): config_file = InMemoryConfigStore("test") sample_config = { "meta": { "config.version": 9 }, "system": { "root.dir": "~/.rally/benchmarks", "environment.name": "local" }, "benchmarks": { "local.dataset.cache": "${system:root.dir}/data", "some.other.cache": "/data" } } config_file.store(sample_config) config.migrate(config_file, 9, 10, out=null_output) self.assertTrue(config_file.backup_created) self.assertEqual("10", config_file.config["meta"]["config.version"]) self.assertTrue("distributions" in config_file.config) self.assertEqual("https://download.elasticsearch.org/elasticsearch/elasticsearch/elasticsearch-{{VERSION}}.tar.gz", config_file.config["distributions"]["release.1.url"]) self.assertEqual("https://download.elasticsearch.org/elasticsearch/release/org/elasticsearch/distribution/tar/elasticsearch/" "{{VERSION}}/elasticsearch-{{VERSION}}.tar.gz", config_file.config["distributions"]["release.2.url"]) self.assertEqual("https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-{{VERSION}}.tar.gz", config_file.config["distributions"]["release.url"]) self.assertEqual("true", config_file.config["distributions"]["release.cache"]) def test_migrate_from_10_to_11(self): config_file = InMemoryConfigStore("test") sample_config = { "meta": { "config.version": 10 }, "runtime": { "java8.home": "/opt/jdk/8", } } config_file.store(sample_config) config.migrate(config_file, 10, 11, out=null_output) self.assertTrue(config_file.backup_created) self.assertEqual("11", config_file.config["meta"]["config.version"]) self.assertTrue("runtime" in config_file.config) self.assertFalse("java8.home" in config_file.config["runtime"]) self.assertEqual("/opt/jdk/8", config_file.config["runtime"]["java.home"]) @mock.patch("esrally.utils.io.exists") @mock.patch("os.rename") def test_migrate_from_11_to_12_with_default_src_config_repo_checked_out(self, path_rename, path_exists): path_exists.return_value = True config_file = InMemoryConfigStore("test") sample_config = { "meta": { "config.version": 11 }, "node": { "root.dir": io.normalize_path("~/.rally/benchmarks") }, "source": { "local.src.dir": io.normalize_path("~/.rally/benchmarks/src") } } config_file.store(sample_config) config.migrate(config_file, 11, 12, out=null_output) self.assertTrue(config_file.backup_created) self.assertEqual("12", config_file.config["meta"]["config.version"]) self.assertEqual(io.normalize_path("~/.rally/benchmarks/src"), config_file.config["node"]["src.root.dir"]) self.assertEqual("elasticsearch", config_file.config["source"]["elasticsearch.src.subdir"]) path_rename.assert_has_calls( [ mock.call(io.normalize_path("~/.rally/benchmarks/src"), io.normalize_path("~/.rally/benchmarks/tmp_src_mig")), mock.call(io.normalize_path("~/.rally/benchmarks/tmp_src_mig"), io.normalize_path("~/.rally/benchmarks/src/elasticsearch")), ] ) @mock.patch("esrally.utils.io.exists") @mock.patch("os.rename") def test_migrate_from_11_to_12_with_default_src_config_repo_not_checked_out(self, path_rename, path_exists): path_exists.return_value = False config_file = InMemoryConfigStore("test") sample_config = { "meta": { "config.version": 11 }, "node": { "root.dir": io.normalize_path("~/.rally/benchmarks") }, "source": { "local.src.dir": io.normalize_path("~/.rally/benchmarks/src") } } config_file.store(sample_config) config.migrate(config_file, 11, 12, out=null_output) self.assertTrue(config_file.backup_created) self.assertEqual("12", config_file.config["meta"]["config.version"]) self.assertEqual(io.normalize_path("~/.rally/benchmarks/src"), config_file.config["node"]["src.root.dir"]) self.assertEqual("elasticsearch", config_file.config["source"]["elasticsearch.src.subdir"]) # did all the migrations but nothing moved path_rename.assert_not_called() def test_migrate_from_11_to_12_without_src_config(self): config_file = InMemoryConfigStore("test") sample_config = { "meta": { "config.version": 11 }, "node": { "root.dir": "~/.rally/benchmarks" } } config_file.store(sample_config) config.migrate(config_file, 11, 12, out=null_output) self.assertTrue(config_file.backup_created) self.assertEqual("12", config_file.config["meta"]["config.version"]) self.assertFalse("src.root.dir" in config_file.config["node"]) def test_migrate_from_11_to_12_with_partial_src_config(self): config_file = InMemoryConfigStore("test") sample_config = { "meta": { "config.version": 11 }, "node": { "root.dir": "~/.rally/benchmarks" }, "source": { # a source config section without any keys should be treated like a missing source config section } } config_file.store(sample_config) config.migrate(config_file, 11, 12, out=null_output) self.assertTrue(config_file.backup_created) self.assertEqual("12", config_file.config["meta"]["config.version"]) self.assertFalse("src.root.dir" in config_file.config["node"]) self.assertFalse("elasticsearch.src.subdir" in config_file.config["source"]) @mock.patch("esrally.utils.io.exists") @mock.patch("os.rename") def test_migrate_from_11_to_12_with_custom_src_config(self, path_rename, path_exists): path_exists.return_value = False config_file = InMemoryConfigStore("test") sample_config = { "meta": { "config.version": 11 }, "node": { "root.dir": io.normalize_path("~/.rally/benchmarks") }, "source": { "local.src.dir": io.normalize_path("~/Projects/elasticsearch/master/es") } } config_file.store(sample_config) config.migrate(config_file, 11, 12, out=null_output) self.assertTrue(config_file.backup_created) self.assertEqual("12", config_file.config["meta"]["config.version"]) self.assertEqual(io.normalize_path("~/Projects/elasticsearch/master"), config_file.config["node"]["src.root.dir"]) self.assertEqual("es", config_file.config["source"]["elasticsearch.src.subdir"]) # did all the migrations but nothing moved path_rename.assert_not_called() def test_migrate_from_12_to_13_without_gradle(self): config_file = InMemoryConfigStore("test") sample_config = { "meta": { "config.version": 12 } } config_file.store(sample_config) config.migrate(config_file, 12, 13, out=null_output) self.assertTrue(config_file.backup_created) self.assertEqual("13", config_file.config["meta"]["config.version"]) @mock.patch("esrally.utils.io.guess_java_home") @mock.patch("esrally.utils.jvm.is_early_access_release") def test_migrate_from_12_to_13_with_gradle_and_jdk8_autodetect_jdk9(self, is_early_access_release, guess_java_home): guess_java_home.return_value = "/usr/lib/java9" is_early_access_release.return_value = False config_file = InMemoryConfigStore("test") sample_config = { "meta": { "config.version": 12 }, "build": { "gradle.bin": "/usr/local/bin/gradle" }, "runtime": { "java.home": "/usr/lib/java8" } } config_file.store(sample_config) config.migrate(config_file, 12, 13, out=null_output) self.assertTrue(config_file.backup_created) self.assertEqual("13", config_file.config["meta"]["config.version"]) self.assertEqual("/usr/lib/java8", config_file.config["runtime"]["java.home"]) self.assertEqual("/usr/lib/java9", config_file.config["runtime"]["java9.home"]) @mock.patch("esrally.utils.io.guess_java_home") @mock.patch("esrally.utils.jvm.is_early_access_release") @mock.patch("esrally.utils.jvm.major_version") def test_migrate_from_12_to_13_with_gradle_and_jdk9(self, major_version, is_early_access_release, guess_java_home): guess_java_home.return_value = None is_early_access_release.return_value = False major_version.return_value = 9 config_file = InMemoryConfigStore("test") sample_config = { "meta": { "config.version": 12 }, "build": { "gradle.bin": "/usr/local/bin/gradle" }, "runtime": { "java.home": "/usr/lib/java9" } } config_file.store(sample_config) config.migrate(config_file, 12, 13, out=null_output) self.assertTrue(config_file.backup_created) self.assertEqual("13", config_file.config["meta"]["config.version"]) self.assertEqual("/usr/lib/java9", config_file.config["runtime"]["java.home"]) self.assertEqual("/usr/lib/java9", config_file.config["runtime"]["java9.home"]) @mock.patch("esrally.utils.io.guess_java_home") @mock.patch("esrally.utils.jvm.is_early_access_release") @mock.patch("esrally.utils.jvm.major_version") def test_migrate_from_12_to_13_with_gradle_and_jdk8_ask_user_and_skip(self, major_version, is_early_access_release, guess_java_home): guess_java_home.return_value = None is_early_access_release.return_value = False major_version.return_value = 8 config_file = InMemoryConfigStore("test") sample_config = { "meta": { "config.version": 12 }, "build": { "gradle.bin": "/usr/local/bin/gradle" }, "runtime": { "java.home": "/usr/lib/java8" } } config_file.store(sample_config) config.migrate(config_file, 12, 13, out=null_output, i=MockInput(inputs=[""])) self.assertTrue(config_file.backup_created) self.assertEqual("13", config_file.config["meta"]["config.version"]) self.assertEqual("/usr/lib/java8", config_file.config["runtime"]["java.home"]) self.assertTrue("java9.home" not in config_file.config["runtime"]) @mock.patch("esrally.utils.io.exists") @mock.patch("esrally.utils.io.guess_java_home") @mock.patch("esrally.utils.jvm.is_early_access_release") @mock.patch("esrally.utils.jvm.major_version") def test_migrate_from_12_to_13_with_gradle_and_jdk8_ask_user_enter_valid(self, major_version, is_early_access_release, guess_java_home, path_exists): guess_java_home.return_value = None is_early_access_release.return_value = False major_version.side_effect = [8, 9] path_exists.return_value = True config_file = InMemoryConfigStore("test") sample_config = { "meta": { "config.version": 12 }, "build": { "gradle.bin": "/usr/local/bin/gradle" }, "runtime": { "java.home": "/usr/lib/java8" } } config_file.store(sample_config) config.migrate(config_file, 12, 13, out=null_output, i=MockInput(inputs=["/usr/lib/java9"])) self.assertTrue(config_file.backup_created) self.assertEqual("13", config_file.config["meta"]["config.version"]) self.assertEqual("/usr/lib/java8", config_file.config["runtime"]["java.home"]) self.assertEqual("/usr/lib/java9", config_file.config["runtime"]["java9.home"])

44.597614

139

0.622243

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41,119

5.415476

0.074522

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0.670022

0.641567

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0.242248

41,119

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44.646037

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0.003932

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null

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0

1

0

null

0

5

57beb5c0816cdeecf55b778c4dd5b378b8aa17d8

184

py

Python

OpenAttack/attack_evals/__init__.py

wenh06/OpenAttack

412d1b2777dea5009fe97ac264044bfda65dfa5d

[ "MIT" ]

10

2021-12-01T15:35:05.000Z

2022-03-16T16:10:24.000Z

OpenAttack/attack_evals/__init__.py

leileigan/clean_label_textual_backdoor_attack

56e3a96f6a4eeaf30b90a275685f37cc7e7b3c7c

[ "Apache-2.0" ]

null

OpenAttack/attack_evals/__init__.py

leileigan/clean_label_textual_backdoor_attack

56e3a96f6a4eeaf30b90a275685f37cc7e7b3c7c

[ "Apache-2.0" ]

null

from .default import DefaultAttackEval from .invoke_limit_eval import InvokeLimitedAttackEval from .chinese_eval import ChineseAttackEval from .detailed_eval import DetailedAttackEval

36.8

54

0.891304

20

184

8

0.6

0.1875

0

0.086957

184

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55

46

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true

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1

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null

0

1

0

null

0

1

0

1

0

1

0

5

57cd5b18d1e192e16cc82c80fdaddeba3f7ce106

203

py

Python

django_rest_passwordreset/__init__.py

eadwinCode/django-ninja-passwordreset

1b23b781a75957ed31f2712e1b69a01b10a9a8ef

[ "BSD-3-Clause" ]

null

django_rest_passwordreset/__init__.py

eadwinCode/django-ninja-passwordreset

1b23b781a75957ed31f2712e1b69a01b10a9a8ef

[ "BSD-3-Clause" ]

null

django_rest_passwordreset/__init__.py

eadwinCode/django-ninja-passwordreset

1b23b781a75957ed31f2712e1b69a01b10a9a8ef

[ "BSD-3-Clause" ]

null

""" An extension of django ninja framework, providing a configurable password reset strategy""" __version__ = "1.0.0" default_app_config = "django_rest_passwordreset.apps.DjangoRestPasswordResetConfig"

40.6

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203

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0.098522

203

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