xszheng2020/the_stack_dedup_python_hits_5 · Datasets at Hugging Face

12f3e15449887a93928072028cfc90fcace19042

322

py

Python

3-Python-Advanced (May 2021)/modules/gui_shop/main.py

karolinanikolova/SoftUni-Software-Engineering

7891924956598b11a1e30e2c220457c85c40f064

[ "MIT" ]

null

3-Python-Advanced (May 2021)/modules/gui_shop/main.py

karolinanikolova/SoftUni-Software-Engineering

7891924956598b11a1e30e2c220457c85c40f064

[ "MIT" ]

null

3-Python-Advanced (May 2021)/modules/gui_shop/main.py

karolinanikolova/SoftUni-Software-Engineering

7891924956598b11a1e30e2c220457c85c40f064

[ "MIT" ]

null

# from authentication import render_main_enter_screen from modules.gui_shop.authentication import render_main_enter_screen from modules.gui_shop.canvas import tk if __name__ == '__main__': render_main_enter_screen() tk.mainloop() # keeps the window on our screen until we close it. Otherwise it wold disappears.

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423b6446a4147ac8847fd61fe08d00fde1329fff

46

py

Python

app/v1/__init__.py

josephniel/python-base

63ef4218a01250e03041be90bd4c773ceea42336

[ "MIT" ]

null

app/v1/__init__.py

josephniel/python-base

63ef4218a01250e03041be90bd4c773ceea42336

[ "MIT" ]

null

app/v1/__init__.py

josephniel/python-base

63ef4218a01250e03041be90bd4c773ceea42336

[ "MIT" ]

null

# just so that the folder is seen as a module

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4249b5da7fe77f6e6671782085bdbbf375ac1496

46

py

Python

static_data/__init__.py

dp0973/static-data

bba6f209bcef9844c57b5aadba49e9e70ae6cfed

[ "MIT" ]

2

2021-07-25T04:01:46.000Z

2021-08-31T19:18:48.000Z

static_data/__init__.py

dp0973/static-data

bba6f209bcef9844c57b5aadba49e9e70ae6cfed

[ "MIT" ]

1

2021-08-31T19:47:46.000Z

2021-09-01T06:56:18.000Z

static_data/__init__.py

dp0973/static-data

bba6f209bcef9844c57b5aadba49e9e70ae6cfed

[ "MIT" ]

2

2021-07-25T04:01:56.000Z

2021-08-31T19:31:55.000Z

from static_data.ddragon import( ddragon )

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42843cab8606607f30c24da11fb9c0c7a7e0c373

328

py

Python

(Ex4)_Neural_Network_model_implementation/Sigmoid.py

HarryPham0123/Coursera_Machine_learning_AndrewNg

ae1fa34969fa0dafd44aa6606f6749c09b447239

[ "MIT" ]

1

2021-11-10T07:23:30.000Z

(Ex4)_Neural_Network_model_implementation/Sigmoid.py

HarryPham0123/Coursera_Machine_learning_AndrewNg

ae1fa34969fa0dafd44aa6606f6749c09b447239

[ "MIT" ]

null

(Ex4)_Neural_Network_model_implementation/Sigmoid.py

HarryPham0123/Coursera_Machine_learning_AndrewNg

ae1fa34969fa0dafd44aa6606f6749c09b447239

[ "MIT" ]

null

import numpy as np # (NOTE) Sigmoid function used for logistic regression (non-linear regression) # TODO Logistic function (Sigmoid function) def sigmoid(z): return 1 / (1 + np.exp(-z)) # TODO return gradient (derivative) of sigmoid function def sigmoid_gradient(z): return sigmoid(z) * (1-sigmoid(z))

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4286b8de9b0c3f35fb0b97be8f62944d79463d42

10,182

py

Python

mayan/apps/tags/tests/test_views.py

prezi/mayan-edms

e9bc10a056c3379b57115c6e83022f48c6298e1d

[ "Apache-2.0" ]

4

2019-02-17T08:35:42.000Z

2019-03-28T06:02:11.000Z

mayan/apps/tags/tests/test_views.py

zhoubear/mayan-edms

e9bc10a056c3379b57115c6e83022f48c6298e1d

[ "Apache-2.0" ]

1

2018-10-11T13:01:34.000Z

mayan/apps/tags/tests/test_views.py

prezi/mayan-edms

e9bc10a056c3379b57115c6e83022f48c6298e1d

[ "Apache-2.0" ]

3

2019-01-29T13:21:57.000Z

2019-10-27T03:20:15.000Z

from __future__ import unicode_literals from documents.permissions import permission_document_view from documents.tests import GenericDocumentViewTestCase from ..models import Tag from ..permissions import ( permission_tag_attach, permission_tag_create, permission_tag_delete, permission_tag_edit, permission_tag_remove, permission_tag_view ) from .literals import ( TEST_TAG_COLOR, TEST_TAG_COLOR_EDITED, TEST_TAG_LABEL, TEST_TAG_LABEL_EDITED ) class TagViewTestCase(GenericDocumentViewTestCase): def _create_tag(self): self.tag = Tag.objects.create( color=TEST_TAG_COLOR, label=TEST_TAG_LABEL ) def _request_create_tag(self): return self.post( 'tags:tag_create', data={ 'label': TEST_TAG_LABEL, 'color': TEST_TAG_COLOR }, follow=True ) def test_tag_create_view_no_permissions(self): self.login_user() response = self._request_create_tag() self.assertEqual(response.status_code, 403) self.assertEqual(Tag.objects.count(), 0) def test_tag_create_view_with_permissions(self): self.login_user() self.grant_permission(permission=permission_tag_create) response = self._request_create_tag() self.assertEqual(response.status_code, 200) self.assertEqual(Tag.objects.count(), 1) tag = Tag.objects.first() self.assertEqual(tag.label, TEST_TAG_LABEL) self.assertEqual(tag.color, TEST_TAG_COLOR) def _request_delete_tag(self): return self.post( 'tags:tag_delete', args=(self.tag.pk,), follow=True ) def test_tag_delete_view_no_permissions(self): self.login_user() self._create_tag() response = self._request_delete_tag() self.assertEqual(response.status_code, 200) self.assertEqual(Tag.objects.count(), 1) def test_tag_delete_view_with_access(self): self.login_user() self._create_tag() self.grant_access(obj=self.tag, permission=permission_tag_delete) response = self._request_delete_tag() self.assertEqual(response.status_code, 200) self.assertEqual(Tag.objects.count(), 0) def _request_multiple_delete(self): return self.post( 'tags:tag_multiple_delete', data={'id_list': self.tag.pk}, follow=True ) def test_tag_multiple_delete_view_no_permissions(self): self.login_user() self._create_tag() response = self._request_multiple_delete() self.assertEqual(response.status_code, 200) self.assertEqual(Tag.objects.count(), 1) def test_tag_multiple_delete_view_with_access(self): self.login_user() self._create_tag() self.grant_access(obj=self.tag, permission=permission_tag_delete) response = self._request_multiple_delete() self.assertEqual(response.status_code, 200) self.assertEqual(Tag.objects.count(), 0) def _request_edit_tag(self): return self.post( 'tags:tag_edit', args=(self.tag.pk,), data={ 'label': TEST_TAG_LABEL_EDITED, 'color': TEST_TAG_COLOR_EDITED }, follow=True ) def test_tag_edit_view_no_permissions(self): self.login_user() self._create_tag() response = self._request_edit_tag() self.assertEqual(response.status_code, 403) tag = Tag.objects.get(pk=self.tag.pk) self.assertEqual(tag.label, TEST_TAG_LABEL) self.assertEqual(tag.color, TEST_TAG_COLOR) def test_tag_edit_view_with_access(self): self.login_user() self._create_tag() self.grant_access(obj=self.tag, permission=permission_tag_edit) response = self._request_edit_tag() self.assertEqual(response.status_code, 200) tag = Tag.objects.get(pk=self.tag.pk) self.assertEqual(tag.label, TEST_TAG_LABEL_EDITED) self.assertEqual(tag.color, TEST_TAG_COLOR_EDITED) def _request_document_list(self): return self.get('documents:document_list') def test_document_tags_widget_no_permissions(self): self.login_user() self._create_tag() self.tag.documents.add(self.document) response = self._request_document_list() self.assertNotContains(response, text=TEST_TAG_LABEL, status_code=200) def test_document_tags_widget_with_access(self): self.login_user() self._create_tag() self.tag.documents.add(self.document) self.grant_access(obj=self.tag, permission=permission_tag_view) self.grant_access( obj=self.document, permission=permission_document_view ) response = self._request_document_list() self.assertContains(response, text=TEST_TAG_LABEL, status_code=200) def _request_attach_tag(self): return self.post( 'tags:tag_attach', args=(self.document.pk,), data={ 'tags': self.tag.pk, 'user': self.user.pk } ) def test_document_attach_tag_view_no_permission(self): self.login_user() self._create_tag() self.assertEqual(self.document.tags.count(), 0) self.grant_access(obj=self.tag, permission=permission_tag_attach) response = self._request_attach_tag() # Redirect to previous URL and show warning message about having to # select at least one object. self.assertEqual(response.status_code, 302) self.assertEqual(self.document.tags.count(), 0) def test_document_attach_tag_view_with_access(self): self.login_user() self._create_tag() self.assertEqual(self.document.tags.count(), 0) self.grant_access(obj=self.document, permission=permission_tag_attach) self.grant_access(obj=self.tag, permission=permission_tag_attach) # permission_tag_view is needed because the form filters the # choices self.grant_access(obj=self.tag, permission=permission_tag_view) response = self._request_attach_tag() self.assertEqual(response.status_code, 302) self.assertQuerysetEqual( self.document.tags.all(), (repr(self.tag),) ) def _request_multiple_attach_tag(self): return self.post( 'tags:multiple_documents_tag_attach', data={ 'id_list': self.document.pk, 'tags': self.tag.pk, 'user': self.user.pk } ) def test_document_multiple_attach_tag_view_no_permission(self): self.login_user() self._create_tag() self.grant_permission(permission=permission_tag_view) response = self._request_multiple_attach_tag() self.assertEqual(response.status_code, 200) self.assertEqual(self.document.tags.count(), 0) def test_document_multiple_attach_tag_view_with_access(self): self.login_user() self._create_tag() self.grant_access(obj=self.document, permission=permission_tag_attach) self.grant_access(obj=self.tag, permission=permission_tag_attach) # permission_tag_view is needed because the form filters the # choices self.grant_access(obj=self.tag, permission=permission_tag_view) response = self._request_multiple_attach_tag() self.assertEqual(response.status_code, 302) self.assertQuerysetEqual( self.document.tags.all(), (repr(self.tag),) ) def _request_single_document_multiple_tag_remove(self): return self.post( 'tags:single_document_multiple_tag_remove', args=(self.document.pk,), data={ 'id_list': self.document.pk, 'tags': self.tag.pk, } ) def test_single_document_multiple_tag_remove_view_no_permissions(self): self.login_user() self._create_tag() self.document.tags.add(self.tag) self.grant_access(obj=self.tag, permission=permission_tag_view) response = self._request_single_document_multiple_tag_remove() self.assertEqual(response.status_code, 200) self.assertQuerysetEqual(self.document.tags.all(), (repr(self.tag),)) def test_single_document_multiple_tag_remove_view_with_access(self): self.login_user() self._create_tag() self.document.tags.add(self.tag) self.grant_access(obj=self.document, permission=permission_tag_remove) self.grant_access(obj=self.tag, permission=permission_tag_remove) self.grant_access(obj=self.tag, permission=permission_tag_view) response = self._request_single_document_multiple_tag_remove() self.assertEqual(response.status_code, 302) self.assertEqual(self.document.tags.count(), 0) def _request_multiple_documents_selection_tag_remove(self): return self.post( 'tags:multiple_documents_selection_tag_remove', data={ 'id_list': self.document.pk, 'tags': self.tag.pk, } ) def test_multiple_documents_selection_tag_remove_view_no_permissions(self): self.login_user() self._create_tag() self.document.tags.add(self.tag) self.grant_access(obj=self.tag, permission=permission_tag_view) response = self._request_multiple_documents_selection_tag_remove() self.assertEqual(response.status_code, 200) self.assertQuerysetEqual(self.document.tags.all(), (repr(self.tag),)) def test_multiple_documents_selection_tag_remove_view_with_access(self): self.login_user() self._create_tag() self.document.tags.add(self.tag) self.grant_access(obj=self.document, permission=permission_tag_remove) self.grant_access(obj=self.tag, permission=permission_tag_remove) self.grant_access(obj=self.tag, permission=permission_tag_view) response = self._request_multiple_documents_selection_tag_remove() self.assertEqual(response.status_code, 302) self.assertEqual(self.document.tags.count(), 0)

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428c86bb9a75f4ce9ca6bde70020a25995130302

171

py

Python

src/wafp/targets/__init__.py

schemathesis/web-api-fuzzing-project

69916d9ba9c8c844c7f529dd116790b1f7a135a9

[ "MIT" ]

5

2021-05-10T16:14:46.000Z

2021-09-18T13:29:42.000Z

src/wafp/targets/__init__.py

schemathesis/web-api-fuzzing-project

69916d9ba9c8c844c7f529dd116790b1f7a135a9

[ "MIT" ]

4

2021-05-10T10:42:56.000Z

2021-11-13T08:15:11.000Z

src/wafp/targets/__init__.py

schemathesis/web-api-fuzzing-project

69916d9ba9c8c844c7f529dd116790b1f7a135a9

[ "MIT" ]

null

from . import cli, loader from .core import BaseTarget from .metadata import Language, Metadata, Package, SchemaSource, SchemaSourceType, Specification, SpecificationType

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c41010cc65e3cfab36a240c31f997527a2c29416

91

py

Python

api/__init__.py

xuhdev/MAX-Text-Sentiment-Classifier

be40b49491726cb16a59715cd1e22b566a1710cc

[ "Apache-2.0" ]

null

api/__init__.py

xuhdev/MAX-Text-Sentiment-Classifier

be40b49491726cb16a59715cd1e22b566a1710cc

[ "Apache-2.0" ]

null

api/__init__.py

xuhdev/MAX-Text-Sentiment-Classifier

be40b49491726cb16a59715cd1e22b566a1710cc

[ "Apache-2.0" ]

null

from .metadata import ModelMetadataAPI # noqa from .predict import ModelPredictAPI # noqa

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c41b7109b9723858b0684045387d7e9834fc0274

13,334

py

Python

BinanceCTOrder.py

a2gs/BinanceCopyTrade

78d77a303487e77acbe02b5c3d96502c842789ce

[ "MIT" ]

8

2020-10-06T20:49:44.000Z

2022-02-27T01:47:17.000Z

BinanceCTOrder.py

a2gs/BinanceCopyTrade

78d77a303487e77acbe02b5c3d96502c842789ce

[ "MIT" ]

1

2021-04-19T03:16:44.000Z

2021-05-04T14:32:38.000Z

BinanceCTOrder.py

a2gs/BinanceCopyTrade

78d77a303487e77acbe02b5c3d96502c842789ce

[ "MIT" ]

1

2022-03-11T00:56:27.000Z

#!/usr/bin/env python3 # -*- coding: utf-8 -*- # Andre Augusto Giannotti Scota # andre.scota@gmail.com # MIT license from binance.client import Client from binance.exceptions import BinanceAPIException, BinanceWithdrawException, BinanceRequestException, BinanceOrderException, BinanceOrderMinAmountException, BinanceOrderMinPriceException, BinanceOrderMinTotalException, BinanceOrderUnknownSymbolException, BinanceOrderInactiveSymbolException """ testOrder = False """ LOCK = True #LOCK = False """ def setTestOrder(o: bool): global testOrder testOrder = o def getTestOrder() -> bool: global testOrder return testOrder """ def binanceSide(s: str): if s == 'BUY': return Client.SIDE_BUY elif s == 'SELL': return Client.SIDE_SELL return '' # --------------------------------------------------- def printPlacedOrder(order, log = None): log(f"Symbol: [{order['symbol']}]") log(f"\tSide.................: [{order['side']}]") log(f"\tType.................: [{order['type']}]") log(f"\tTransaction Time.....: [{order['transactTime']}]") log(f"\tPrice................: [{order['price']}]") log(f"\tOrig Qtd.............: [{order['origQty']}]") log(f"\tExecuted Qtd.........: [{order['executedQty']}]") log(f"\tCummulative Quote Qtd: [{order['cummulativeQuoteQty']}]") log(f"\tStatus...............: [{order['status']}]") log(f"\tTime In Force........: [{order['timeInForce']}]") log(f"\tOrder Id.............: [{order['orderId']}]") log(f"\tClient Order Id......: [{order['clientOrderId']}]") if 'fills' not in order: return for f in order['fills']: log(f"\t\tPrice...........: [{f['price']}]") log(f"\t\tQty.............: [{f['qty']}]") log(f"\t\tCommission......: [{f['commission']}]") log(f"\t\tCommission Asset: [{f['commissionAsset']}]") def cancel_a_spot_order(client, log = None, symbOrd = '', ordrid = 0) -> [bool, str]: log(f"Cancel SPOT Order Id [{ordrid}] with Symbol [{symbOrd}]") # TESTING global LOCK if LOCK == True: return False, "Programmed flag order lock ON!" try: cancOrd = client.cancel_order(symbol = symbOrd, orderId = ordrid) except BinanceRequestException as e: return False, f"Erro BinanceRequestException: [{e.status_code} - {e.message}]" except BinanceAPIException as e: return False, f"Erro at client.cancel_order() BinanceAPIException: [{e.status_code} - {e.message}]" except Exception as e: return False, f"Erro at client.cancel_order(): {e}" log(f"Symbol..................: [{cancOrd['symbol']}]") log(f"Original Client Order Id: [{cancOrd['origClientOrderId']}]") log(f"Order Id................: [{cancOrd['orderId']}]") log(f"Order List Id (OCO info): [{cancOrd['orderListId']}]") log(f"Client Order Id.........: [{cancOrd['clientOrderId']}]") log(f"Price...................: [{cancOrd['price']}]") log(f"Original Qtd............: [{cancOrd['origQty']}]") log(f"Executed Qty............: [{cancOrd['executedQty']}]") log(f"Cummulative Quote Qty...: [{cancOrd['cummulativeQuoteQty']}]") log(f"Status..................: [{cancOrd['status']}]") log(f"Time In Force...........: [{cancOrd['timeInForce']}]") log(f"Type....................: [{cancOrd['type']}]") log(f"Side....................: [{cancOrd['side']}]") return True, "Ok" def cancel_a_margin_order(client, log, symbOrd = '', ordrid = 0) -> [bool, str]: log(f"Cancel Margin Order Id [{ordrid}] with Symbol [{symbOrd}]") # TESTING global LOCK if LOCK == True: return False, "Programmed flag order lock ON!" try: cancOrd = client.cancel_margin_order(symbol = symbOrd, orderId = ordrid) except BinanceRequestException as e: return False, f"Erro at client.cancel_margin_order() BinanceRequestException: [{e.status_code} - {e.message}]" except BinanceAPIException as e: return False, f"Erro at client.cancel_margin_order() BinanceAPIException: [{e.status_code} - {e.message}]" except Exception as e: return False, f"Erro at client.cancel_margin_order(): {e}" log(f"Symbol..................: [{cancOrd['symbol']}]") log(f"Original Client Order Id: [{cancOrd['origClientOrderId']}]") log(f"OrderId.................: [{cancOrd['orderId']}]") log(f"Client Order Id.........: [{cancOrd['clientOrderId']}]") log(f"Price...................: [{cancOrd['price']}]") log(f"Original Qtd............: [{cancOrd['origQty']}]") log(f"Executed Qty............: [{cancOrd['executedQty']}]") log(f"Cummulative Quote Qty...: [{cancOrd['cummulativeQuoteQty']}]") log(f"Status..................: [{cancOrd['status']}]") log(f"Time In Force...........: [{cancOrd['timeInForce']}]") log(f"Type....................: [{cancOrd['type']}]") log(f"Side....................: [{cancOrd['side']}]") return True, 'Ok' # --------------------------------------------------- def orderSpotLimit(client, log = None, symbOrd = '', qtdOrd = 0, prcOrd = 0.0, prcStopOrd = 0.0, prcStopLimitOrd = 0.0, sideOrd = 0) -> [bool, str, str]: log(f"Symbol....: [{symbOrd}]") log(f"Side......: [{sideOrd}]") log(f"Quantity..: [{qtdOrd}]") log(f"Price.....: [{prcOrd}]") log(f"Stop Price: [{prcStopOrd}]") log(f"Limit OCO.: [{prcStopLimitOrd}]") # TESTING global LOCK if LOCK == True: return([False, "Programmed flag order lock ON!", ""]) try: order = client.create_oco_order(symbol = symbOrd, side = sideOrd, quantity = qtdOrd, price = prcOrd, stopPrice = prcStopOrd, stopLimitPrice = prcStopLimitOrd, stopLimitTimeInForce = Client.TIME_IN_FORCE_GTC, newOrderRespType = Client.ORDER_RESP_TYPE_FULL) except BinanceRequestException as e: return([False, f"Erro create_oco_order BinanceRequestException: [{e.status_code} - {e.message}]", ""]) except BinanceAPIException as e: return([False, f"Erro create_oco_order BinanceAPIException: [{e.status_code} - {e.message}]", ""]) except BinanceOrderException as e: return([False, f"Erro create_oco_order BinanceOrderException: [{e.status_code} - {e.message}]", ""]) except BinanceOrderMinAmountException as e: return([False, f"Erro create_oco_order BinanceOrderMinAmountException: [{e.status_code} - {e.message}]", ""]) except BinanceOrderMinPriceException as e: return([False, f"Erro create_oco_order BinanceOrderMinPriceException: [{e.status_code} - {e.message}]", ""]) except BinanceOrderMinTotalException as e: return([False, f"Erro create_oco_order BinanceOrderMinTotalException: [{e.status_code} - {e.message}]", ""]) except BinanceOrderUnknownSymbolException as e: return([False, f"Erro create_oco_order BinanceOrderUnknownSymbolException: [{e.status_code} - {e.message}]", ""]) except BinanceOrderInactiveSymbolException as e: return([False, f"Erro create_oco_order BinanceOrderInactiveSymbolException: [{e.status_code} - {e.message}]", ""]) except Expcetion as e: return([False, f"Erro create_oco_order generic exception: {e}", ""]) printPlacedOrder(order, log, order['orderId']) return True, "Ok" def orderSpot(client, log = None, symbOrd = '', qtdOrd = 0, prcOrd = 0.0, sideOrd = 0, typeOrd = 0) ->[bool, str, str]: log(f"Symbol....: [{symbOrd}]") log(f"Side......: [{sideOrd}]") log(f"Quantity..: [{qtdOrd}]") log(f"Price.....: [{prcOrd}]") log(f"Type......: [{typeOrd}]") # TESTING global LOCK if LOCK == True: # return([False, "Programmed flag order lock ON!", ""]) return([True, ">>>>>>>>>>>>>>>>>>>Programmed flag order lock ON!", "987654321"]) try: order = client.create_order(symbol = symbOrd, quantity = qtdOrd, price = prcOrd, side = sideOrd, type = typeOrd, timeInForce = Client.TIME_IN_FORCE_GTC, newOrderRespType = Client.ORDER_RESP_TYPE_FULL) except BinanceRequestException as e: return([False, f"Erro order_limit_buy BinanceRequestException: [{e.status_code} - {e.message}]", ""]) except BinanceAPIException as e: return([False, f"Erro order_limit_buy BinanceAPIException: [{e.status_code} - {e.message}]", ""]) except BinanceOrderException as e: return([False, f"Erro order_limit_buy BinanceOrderException: [{e.status_code} - {e.message}]", ""]) except BinanceOrderMinAmountException as e: return([False, f"Erro order_limit_buy BinanceOrderMinAmountException: [{e.status_code} - {e.message}]", ""]) except BinanceOrderMinPriceException as e: return([False, f"Erro order_limit_buy BinanceOrderMinPriceException: [{e.status_code} - {e.message}]", ""]) except BinanceOrderMinTotalException as e: return([False, f"Erro order_limit_buy BinanceOrderMinTotalException: [{e.status_code} - {e.message}]", ""]) except BinanceOrderUnknownSymbolException as e: return([False, f"Erro order_limit_buy BinanceOrderUnknownSymbolException: [{e.status_code} - {e.message}]", ""]) except BinanceOrderInactiveSymbolException as e: return([False, f"Erro order_limit_buy BinanceOrderInactiveSymbolException: [{e.status_code} - {e.message}]", ""]) except Exception as e: return([False, f"Erro order_limit_buy generic exception: {e}", ""]) printPlacedOrder(order, log) return([True, "Ok", order['orderId']]) # --------------------------------------------------- def buyOCOOrder(client, log = None, symb = '', qtd = 0, prc = 0.0, stopprice = 0.0, limit = 0.0) -> bool: log("NOT IMPLEMENTED") def sellOCOOrder(client, log = None, symb = '', qtd = 0, prc = 0.0, stopprice = 0.0, limit = 0.0) -> bool: log("NOT IMPLEMENTED") # --------------------------------------------------- def orderMargin(client, log = None, symbOrd = '', sideOrd = 0, typeOrd = 0, qtdOrd = 0, prcOrd = 0.0, prcStop = 0.0, limit = 0.0) ->[bool, str, str]: log(f"MARGIN Order {typeOrd}") log(f"Symbol....: [{symbOrd}]") log(f"Side......: [{sideOrd}]") log(f"Quantity..: [{qtdOrd}]") log(f"Price.....: [{prcOrd}]") log(f"Stop Price: [{prcStop}]") log(f"Limit OCO.: [{limit}]") log(f"Type......: [{typeOrd}]") # TESTING global LOCK if LOCK == True: return([False, "Programmed flag order lock ON!", ""]) try: if typeOrd == 'LIMIT': order = client.create_margin_order(symbol = symbOrd, side = binanceSide(sideOrd), type = Client.ORDER_TYPE_LIMIT, timeInForce = Client.TIME_IN_FORCE_GTC, quantity = qtdOrd, price = prcOrd, newOrderRespType = Client.ORDER_RESP_TYPE_FULL) else: order = client.create_margin_order(symbol = symbOrd, side = binanceSide(sideOrd), type = BU.binanceOrderType(typeOrd), timeInForce = Client.TIME_IN_FORCE_GTC, quantity = qtdOrd, price = prcOrd, stopPrice = prcStop, newOrderRespType = Client.ORDER_RESP_TYPE_FULL) except BinanceRequestException as e: return([False, f"Erro create_margin_order BinanceRequestException: [{e.status_code} - {e.message}]", ""]) except BinanceAPIException as e: return([False, f"Erro create_margin_order BinanceAPIException: [{e.status_code} - {e.message}]", ""]) except BinanceOrderException as e: return([False, f"Erro create_margin_order BinanceOrderException: [{e.status_code} - {e.message}]", ""]) except BinanceOrderMinAmountException as e: return([False, f"Erro create_margin_order BinanceOrderMinAmountException: [{e.status_code} - {e.message}]", ""]) except BinanceOrderMinPriceException as e: return([False, f"Erro create_margin_order BinanceOrderMinPriceException: [{e.status_code} - {e.message}]", ""]) except BinanceOrderMinTotalException as e: return([False, f"Erro create_margin_order BinanceOrderMinTotalException: [{e.status_code} - {e.message}]", ""]) except BinanceOrderUnknownSymbolException as e: return([False, f"Erro create_margin_order BinanceOrderUnknownSymbolException: [{e.status_code} - {e.message}]", ""]) except BinanceOrderInactiveSymbolException as e: return([False, f"Erro create_margin_order BinanceOrderInactiveSymbolException: [{e.status_code} - {e.message}]", ""]) except Exception as e: return([False, f"Erro create_margin_order generic exception: {e}", ""]) log(f"\tOrder id....: [{order['orderId']}]") log(f"\tSymbol......: [{order['symbol']}]") log(f"\tPrice.......: [{order['price']}]") log(f"\tQtd.........: [{order['origQty']}]") log(f"\tQtd executed: [{order['executedQty']}]") log(f"\tSide........: [{order['side']}]") log(f"\tType........: [{order['type']}]") log(f"\tStop price..: [{order['stopPrice']}]") log(f"\tIs working..? [{order['isWorking']}]") return([True, "Ok", order['orderId']])

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c4230dcb6ac2d7afa95c7dc2e76035d72e433952

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py

Python

spikeforest/spikesorters/spyking_circus/spykingcircussortingextractor/__init__.py

mhhennig/spikeforest

5b4507ead724af3de0be5d48a3b23aaedb0be170

[ "Apache-2.0" ]

null

spikeforest/spikesorters/spyking_circus/spykingcircussortingextractor/__init__.py

mhhennig/spikeforest

5b4507ead724af3de0be5d48a3b23aaedb0be170

[ "Apache-2.0" ]

null

spikeforest/spikesorters/spyking_circus/spykingcircussortingextractor/__init__.py

mhhennig/spikeforest

5b4507ead724af3de0be5d48a3b23aaedb0be170

[ "Apache-2.0" ]

null

from .spykingcircussortingextractor import SpykingCircusSortingExtractor

36.5

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c449cf4ac62a7e9e6b3650f498c1bf442e497b98

191

py

Python

tests/pyccel/scripts/import_syntax/user_mod.py

dina-fouad/pyccel

f4d919e673b400442b9c7b81212b6fbef749c7b7

[ "MIT" ]

206

2018-06-28T00:28:47.000Z

2022-03-29T05:17:03.000Z

tests/pyccel/scripts/import_syntax/user_mod.py

dina-fouad/pyccel

f4d919e673b400442b9c7b81212b6fbef749c7b7

[ "MIT" ]

670

2018-07-23T11:02:24.000Z

2022-03-30T07:28:05.000Z

tests/pyccel/scripts/import_syntax/user_mod.py

dina-fouad/pyccel

f4d919e673b400442b9c7b81212b6fbef749c7b7

[ "MIT" ]

19

2019-09-19T06:01:00.000Z

2022-03-29T05:17:06.000Z

# pylint: disable=missing-function-docstring, missing-module-docstring/ from pyccel.decorators import types @types('double','double','double') def user_func(x1, x2, x3): return x1+x2+x3

27.285714

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5

c45d2739227d6d132c5ddb1ba9c2e8c66013d3ec

257

py

Python

test/utils/test_learning_rate.py

lethaiq/machin

7873cada457328952310394afeedcad4bb6a7c4a

[ "MIT" ]

287

2020-06-13T05:19:50.000Z

2022-03-31T04:46:32.000Z

test/utils/test_learning_rate.py

lethaiq/machin

7873cada457328952310394afeedcad4bb6a7c4a

[ "MIT" ]

19

2020-08-19T05:33:45.000Z

2022-03-27T15:16:03.000Z

test/utils/test_learning_rate.py

lethaiq/machin

7873cada457328952310394afeedcad4bb6a7c4a

[ "MIT" ]

44

2020-07-06T00:41:44.000Z

2022-03-29T17:05:08.000Z

from machin.utils.logging import default_logger from machin.utils.learning_rate import gen_learning_rate_func def test_gen_learning_rate_func(): func = gen_learning_rate_func([(0, 1e-3), (20000, 1e-3)], default_logger) func(10000) func(20001)

28.555556

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1

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c465dc4bc4a09d41cf33edb066ca57eaefcbe76c

74

py

Python

modelvshuman/models/wrappers/__init__.py

TizianThieringer/model-vs-human

17729b8167520f682d93d55c340c27de07bb2681

[ "Apache-2.0", "CC-BY-4.0", "MIT" ]

158

2021-06-04T15:19:58.000Z

2022-03-30T00:31:28.000Z

modelvshuman/models/wrappers/__init__.py

TizianThieringer/model-vs-human

17729b8167520f682d93d55c340c27de07bb2681

[ "Apache-2.0", "CC-BY-4.0", "MIT" ]

7

2021-07-20T03:57:34.000Z

2022-02-01T11:00:47.000Z

modelvshuman/models/wrappers/__init__.py

TizianThieringer/model-vs-human

17729b8167520f682d93d55c340c27de07bb2681

[ "Apache-2.0", "CC-BY-4.0", "MIT" ]

14

2021-06-16T13:33:11.000Z

2022-03-29T15:04:09.000Z

from .pytorch import PyTorchModel from .tensorflow import TensorFlowModel

24.666667

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5

c46c983d799d3afaf58d30ad66cc8674c22c2824

5,638

py

Python

datacube_ows/styles/api/base.py

LiamOSullivan/datacube-ows

6ff10853081b08d8de8485bd3c9c976cdae03390

[ "Apache-2.0" ]

null

datacube_ows/styles/api/base.py

LiamOSullivan/datacube-ows

6ff10853081b08d8de8485bd3c9c976cdae03390

[ "Apache-2.0" ]

null

datacube_ows/styles/api/base.py

LiamOSullivan/datacube-ows

6ff10853081b08d8de8485bd3c9c976cdae03390

[ "Apache-2.0" ]

null

# This file is part of datacube-ows, part of the Open Data Cube project. # See https://opendatacube.org for more information. # # Copyright (c) 2017-2021 OWS Contributors # SPDX-License-Identifier: Apache-2.0 import xarray from datacube_ows.startup_utils import initialise_ignorable_warnings from datacube_ows.styles.base import StandaloneProductProxy, StyleDefBase initialise_ignorable_warnings() def StandaloneStyle(cfg): """ Construct a OWS style object that stands alone, independent of a complete OWS configuration environment. :param cfg: A valid OWS Style definition configuration dictionary. Refer to the documentation for the valid syntax: https://datacube-ows.readthedocs.io/en/latest/cfg_styling.html :return: A OWS Style Definition object, prepared to work in standalone mode. """ style = StyleDefBase(StandaloneProductProxy(), cfg, stand_alone=True) style.make_ready(None) return style def apply_ows_style(style, data, loop_over=None, valid_data_mask=None): """ Apply an OWS style to an ODC XArray to generate a styled image. :param style: An OWS Style object, as created by StandaloneStyle() :param data: An xarray Dataset, as generated by datacube.load_data() Note that the Dataset must contain all of the band names referenced by the standalone style configuration. (The names of the data variables in the dataset must exactly match the band names in the configuration. None of the band aliasing techniques normally supported by OWS can work in standalone mode.) For bands that are used as bitmaps (i.e. either for masking with pq_mask or colour coding in value_map), the data_variable must have a valid flag_definition attribute. :param loop_over: (optional) A string which is the name of a dimension in the data to loop over, for bulk processing. E.g. if set to "time", the output will have the same time dimension coordinates as the input, with the single-date style being applied to each time slice in the input data independently. :param valid_data_mask: (optional) An xarray DataArray mask, with dimensions and coordinates matching data. :return: An xarray Dataset, with the same dimensions and coordinates as data, and four data_vars of 8 bit signed integer data named red, green, blue and alpha, representing an 24bit RGBA image. """ if loop_over is None: return style.transform_data( data, style.to_mask( data, valid_data_mask ) ) image_slices = [] for coord in data[loop_over].values: d_slice = data.sel(**{loop_over: coord}) image_slices.append( style.transform_data( d_slice, style.to_mask( d_slice, valid_data_mask ) ) ) return xarray.concat(image_slices, data[loop_over]) def apply_ows_style_cfg(cfg, data, loop_over=None, valid_data_mask=None): """ Apply an OWS style configuration to an ODC XArray to generate a styled image. :param cfg: A valid OWS Style definition configuration dictionary. Refer to the documentation for the valid syntax: https://datacube-ows.readthedocs.io/en/latest/cfg_styling.html :param data: An xarray Dataset, as generated by datacube.load_data() Note that the Dataset must contain all of the band names referenced by the standalone style configuration. (The names of the data variables in the dataset must exactly match the band names in the configuration. None of the band aliasing techniques normally supported by OWS can work in standalone mode.) For bands that are used as bitmaps (i.e. either for masking with pq_mask or colour coding in value_map), the data_variable must have a valid flag_definition attribute. :param loop_over: (optional) A string which is the name of a dimension in the data to loop over, for bulk processing. E.g. if set to "time", the output will have the same time dimension coordinates as the input, with the single-date style being applied to each time slice in the input data independently. :param valid_data_mask: (optional) An xarray DataArray mask, with dimensions and coordinates matching data. :return: An xarray Dataset, with the same dimensions and coordinates as data, and four data_vars of 8 bit signed integer data named red, green, blue and alpha, representing an 24bit RGBA image. """ return apply_ows_style( StandaloneStyle(cfg), data, loop_over=loop_over, valid_data_mask=valid_data_mask ) def generate_ows_legend_style(style, ndates=0): """ :param style: An OWS Style object, as created by StandaloneStyle() :param ndates: (optional) Number of dates (for styles with multi-date handlers) :return: A PIL Image object. """ return style.render_legend(ndates) def generate_ows_legend_style_cfg(cfg, ndates=0): """ :param cfg: A valid OWS Style definition configuration dictionary. Refer to the documentation for the valid syntax: https://datacube-ows.readthedocs.io/en/latest/cfg_styling.html :param ndates: (optional) Number of dates (for styles with multi-date handlers) :return: A PIL Image object. """ return generate_ows_legend_style(StandaloneStyle(cfg), ndates)

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1

0

null

0

5

c471d7b8d0b668b38f19b7337cb1526c9df80129

3,933

py

Python

baghchal/lookup_table.py

basnetsoyuj/baghchal

fb60a7a69b6698f07545150ee71a47837e920de8

[ "MIT" ]

6

2019-07-27T10:57:13.000Z

2022-02-21T04:08:18.000Z

build/lib/baghchal/lookup_table.py

basnetsoyuj/BaghChal

fb60a7a69b6698f07545150ee71a47837e920de8

[ "MIT" ]

2

2021-06-08T20:09:10.000Z

2021-10-08T14:35:30.000Z

build/lib/baghchal/lookup_table.py

basnetsoyuj/BaghChal

fb60a7a69b6698f07545150ee71a47837e920de8

[ "MIT" ]

1

2021-12-26T13:23:44.000Z

action_space={'11':0,'12':1,'13':2,'14':3,'15':4,'21':5,'22':6,'23':7,'24':8,'25':9,'31':10,'32':11,'33':12,'34':13,'35':14,'41':15,'42':16,'43':17,'44':18,'45':19,'51':20,'52':21,'53':22,'54':23,'55':24,'1112':25,'1121':26,'1122':27,'1113':28,'1131':29,'1133':30,'1213':31,'1211':32,'1222':33,'1232':34,'1214':35,'1312':36,'1314':37,'1323':38,'1322':39,'1324':40,'1333':41,'1331':42,'1315':43,'1311':44,'1335':45,'1415':46,'1413':47,'1424':48,'1412':49,'1434':50,'1525':51,'1524':52,'1514':53,'1513':54,'1533':55,'1535':56,'2131':57,'2111':58,'2122':59,'2141':60,'2123':61,'2212':62,'2232':63,'2213':64,'2233':65,'2231':66,'2221':67,'2223':68,'2211':69,'2242':70,'2244':71,'2224':72,'2324':73,'2313':74,'2333':75,'2322':76,'2325':77,'2321':78,'2343':79,'2413':80,'2433':81,'2414':82,'2415':83,'2423':84,'2425':85,'2434':86,'2435':87,'2442':88,'2444':89,'2422':90,'2515':91,'2524':92,'2535':93,'2545':94,'2523':95,'3132':96,'3121':97,'3122':98,'3142':99,'3141':100,'3113':101,'3133':102,'3151':103,'3111':104,'3153':105,'3242':106,'3231':107,'3233':108,'3222':109,'3212':110,'3234':111,'3252':112,'3332':113,'3344':114,'3323':115,'3343':116,'3322':117,'3342':118,'3334':119,'3324':120,'3313':121,'3355':122,'3331':123,'3315':124,'3353':125,'3351':126,'3311':127,'3335':128,'3424':129,'3444':130,'3433':131,'3435':132,'3454':133,'3432':134,'3414':135,'3545':136,'3544':137,'3525':138,'3534':139,'3524':140,'3513':141,'3555':142,'3533':143,'3515':144,'3553':145,'4142':146,'4151':147,'4131':148,'4143':149,'4121':150,'4232':151,'4241':152,'4233':153,'4231':154,'4243':155,'4251':156,'4252':157,'4253':158,'4244':159,'4224':160,'4222':161,'4342':162,'4344':163,'4333':164,'4353':165,'4345':166,'4341':167,'4323':168,'4454':169,'4433':170,'4455':171,'4445':172,'4443':173,'4453':174,'4434':175,'4435':176,'4442':177,'4424':178,'4422':179,'4544':180,'4555':181,'4535':182,'4525':183,'4543':184,'5142':185,'5141':186,'5152':187,'5131':188,'5133':189,'5153':190,'5242':191,'5251':192,'5253':193,'5254':194,'5232':195,'5354':196,'5344':197,'5343':198,'5342':199,'5352':200,'5355':201,'5333':202,'5331':203,'5351':204,'5335':205,'5444':206,'5455':207,'5453':208,'5434':209,'5452':210,'5545':211,'5554':212,'5544':213,'5535':214,'5533':215,'5553':216} reversed_action_space={v:k for k,v in action_space.items()} action_list=list(action_space.keys()) bagh_moves_dict={(1,1):{(1,3),(3,1),(3,3)},(1,2):{(3,2),(1,4)},(1,3):{(3,3),(3,1),(1,5),(1,1),(3,5)},(1,4):{(1,2),(3,4)},(1,5):{(1,3),(3,3),(3,5)},(2,1):{(4,1),(2,3)},(2,2):{(4,2),(4,4),(2,4)},(2,3):{(2,5),(2,1),(4,3)},(2,4):{(4,2),(4,4),(2,2)},(2,5):{(4,5),(2,3)},(3,1):{(1,3),(3,3),(5,1),(1,1),(5,3)},(3,2):{(1,2),(3,4),(5,2)},(3,3):{(1,3),(5,5),(3,1),(1,5),(5,3),(5,1),(1,1),(3,5)},(3,4):{(5,4),(3,2),(1,4)},(3,5):{(1,3),(5,5),(3,3),(1,5),(5,3)},(4,1):{(4,3),(2,1)},(4,2):{(4,4),(2,4),(2,2)},(4,3):{(4,5),(4,1),(2,3)},(4,4):{(4,2),(2,4),(2,2)},(4,5):{(2,5),(4,3)},(5,1):{(3,1),(3,3),(5,3)},(5,2):{(5,4),(3,2)},(5,3):{(5,5),(3,3),(3,1),(5,1),(3,5)},(5,4):{(3,4),(5,2)},(5,5):{(3,5),(3,3),(5,3)}} connected_points_dict={(1,1):{(1,2),(2,1),(2,2)},(1,2):{(1,3),(1,1),(2,2)},(1,3):{(1,2),(1,4),(2,3),(2,2),(2,4)},(1,4):{(1,5),(1,3),(2,4)},(1,5):{(2,5),(2,4),(1,4)},(2,1):{(3,1),(1,1),(2,2)},(2,2):{(1,2),(3,2),(1,3),(3,3),(3,1),(2,1),(2,3),(1,1)},(2,3):{(2,4),(1,3),(3,3),(2,2)},(2,4):{(1,3),(3,3),(1,4),(1,5),(2,3),(2,5),(3,4),(3,5)},(2,5):{(1,5),(2,4),(3,5)},(3,1):{(3,2),(2,1),(2,2),(4,2),(4,1)},(3,2):{(4,2),(3,1),(3,3),(2,2)},(3,3):{(3,2),(4,4),(2,3),(4,3),(2,2),(4,2),(3,4),(2,4)},(3,4):{(2,4),(4,4),(3,3),(3,5)},(3,5):{(4,5),(4,4),(2,5),(3,4),(2,4)},(4,1):{(4,2),(5,1),(3,1)},(4,2):{(3,2),(4,1),(3,3),(3,1),(4,3),(5,1),(5,2),(5,3)},(4,3):{(4,2),(4,4),(3,3),(5,3)},(4,4):{(5,4),(3,3),(5,5),(4,5),(4,3),(5,3),(3,4),(3,5)},(4,5):{(4,4),(5,5),(3,5)},(5,1):{(4,2),(4,1),(5,2)},(5,2):{(4,2),(5,1),(5,3)},(5,3):{(5,4),(4,4),(4,3),(4,2),(5,2)},(5,4):{(4,4),(5,5),(5,3)},(5,5):{(4,5),(5,4),(4,4)}}

786.6

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c48010964b516ab4ffd35a43829edf4b08f1291b

105

py

Python

tests/conftest.py

fraudlabspro/fraudlabspro-python

8cdf454f728b84957ada3f5ef28840156d97181c

[ "MIT" ]

4

2018-08-28T02:45:21.000Z

2021-04-24T16:32:27.000Z

tests/conftest.py

ip2whois/ip2whois-python

79af46c585e3d1e48135b2b985ce51d9a83fced5

[ "MIT" ]

3

2019-12-02T10:20:11.000Z

2019-12-10T00:35:09.000Z

tests/conftest.py

ip2whois/ip2whois-python

79af46c585e3d1e48135b2b985ce51d9a83fced5

[ "MIT" ]

1

2019-04-14T20:52:43.000Z

import pytest @pytest.fixture(scope = 'module') def global_data(): return {'apikey': "YOUR_API_KEY"}

21

37

0.704762

14

105

5.071429

0.928571

0

0.133333

105

5

37

21

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0.25

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1

0

null

0

1

0

1

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5

670bd31790214fb15af9efc26da19e9df6e23ac4

173

py

Python

tests/web_platform/css_flexbox_1/test_flexbox_align_items_baseline.py

fletchgraham/colosseum

77be4896ee52b8f5956a3d77b5f2ccd2c8608e8f

[ "BSD-3-Clause" ]

null

tests/web_platform/css_flexbox_1/test_flexbox_align_items_baseline.py

fletchgraham/colosseum

77be4896ee52b8f5956a3d77b5f2ccd2c8608e8f

[ "BSD-3-Clause" ]

null

tests/web_platform/css_flexbox_1/test_flexbox_align_items_baseline.py

fletchgraham/colosseum

77be4896ee52b8f5956a3d77b5f2ccd2c8608e8f

[ "BSD-3-Clause" ]

1

2020-01-16T01:56:41.000Z

from tests.utils import W3CTestCase class TestFlexbox_AlignItemsBaseline(W3CTestCase): vars().update(W3CTestCase.find_tests(__file__, 'flexbox_align-items-baseline'))

28.833333

83

0.820809

19

173

7.105263

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0

0.018868

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173

5

84

34.6

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0

1

0

1

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0

5

672cd831cf90464dd8e97f0b6e382e38348304ac

342

py

Python

dis_calc.py

RAKS-Codes/Discount-calc

64aa0e038520f723bb5fa6cf487f3f787df56bd2

[ "Apache-2.0" ]

null

dis_calc.py

RAKS-Codes/Discount-calc

64aa0e038520f723bb5fa6cf487f3f787df56bd2

[ "Apache-2.0" ]

null

dis_calc.py

RAKS-Codes/Discount-calc

64aa0e038520f723bb5fa6cf487f3f787df56bd2

[ "Apache-2.0" ]

null

import math import random import os def final_price(): final_price = (org_price - (org_price * (disc_perc/100))) return int(final_price) org_price = int(input("Enter the original price: ")) disc_perc = int(input("Enter the dicount %: \n")) print("The final price after discount is: " , final_price())

22.8

62

0.643275

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4.489362

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0.236967

0.184834

0.170616

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0.011494

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15

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1

0

null

0

1

0

1

0

5

678594f6038f56c247450a3420bb47d0800d89f9

1,487

py

Python

Player.py

NankNgSa/Tic-Tac-Toe

a1127689c04b2f8db7121b807df2d358b5eeaa25

[ "MIT" ]

null

Player.py

NankNgSa/Tic-Tac-Toe

a1127689c04b2f8db7121b807df2d358b5eeaa25

[ "MIT" ]

null

Player.py

NankNgSa/Tic-Tac-Toe

a1127689c04b2f8db7121b807df2d358b5eeaa25

[ "MIT" ]

null

from Board import Board class Player: global b b = [" " for i in range(9)] def __init__(self): self.player = "x" self.round = 0 def play(self): while True: # Board.print_board(b) print("the round of the player " +self.player) # the player enter a number where he wants to mark print("enter a number between 1 & 9") # -1 because the index starts from 0 to 8 move = int(input()) - 1 # if the case is free if b[move] == " ": b[move] = self.player self.round += 1 else: print("/!\ Choose another case...") # continue def play(self, b): while True: Board.print_board(b) print("the round of the player " +self.player) # the player enter a number where he wants to mark print("enter a number between 1 & 9") # -1 because the index starts from 0 to 8 move = int(input()) - 1 # if the case is free if b[move] == " ": b[move] = self.player self.round += 1 else: print("/!\ Choose another case...") continue if self.round == 9: print("Nobody've won...") break

20.652778

63

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169

1,487

3.757396

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0.059843

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1,487

71

64

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0

null

0

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5

67c40b8654792ae9e621c8612f93f5d8b5332956

176

py

Python

server/stylegan2_hypotheses_explorer/logic/util/__init__.py

HealthML/StyleGAN2-Hypotheses-Explorer

347d7a85cea4b5d13c8c27c8015a085997f377c8

[ "MIT" ]

2

2021-09-22T13:49:16.000Z

2022-01-12T06:04:12.000Z

server/stylegan2_hypotheses_explorer/logic/util/__init__.py

HealthML/StyleGAN2-Hypotheses-Explorer

347d7a85cea4b5d13c8c27c8015a085997f377c8

[ "MIT" ]

null

server/stylegan2_hypotheses_explorer/logic/util/__init__.py

HealthML/StyleGAN2-Hypotheses-Explorer

347d7a85cea4b5d13c8c27c8015a085997f377c8

[ "MIT" ]

null

from .batched import batched from .json import load, load_and_validate from .meta import subclasses_dict __all__ = ["batched", "load", "load_and_validate", "subclasses_dict"]

29.333333

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5.333333

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70

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false

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0

1

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5

67d8cb6c1fed98ab21ef0a28cf3ad480e42b57f7

66

py

Python

automon/integrations/sentryio/__init__.py

TheShellLand/automonisaur

b5f304a44449b8664c93d8a8a3c3cf2d73aa0ce9

[ "MIT" ]

2

2021-09-15T18:35:44.000Z

2022-01-18T05:36:54.000Z

automon/integrations/sentryio/__init__.py

TheShellLand/automonisaur

b5f304a44449b8664c93d8a8a3c3cf2d73aa0ce9

[ "MIT" ]

16

2021-08-29T22:51:53.000Z

2022-03-09T16:08:19.000Z

automon/integrations/sentryio/__init__.py

TheShellLand/automonisaur

b5f304a44449b8664c93d8a8a3c3cf2d73aa0ce9

[ "MIT" ]

null

from .client import SentryClient from .config import SentryConfig

22

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66

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0.75

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0.121212

66

2

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true

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null

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1

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1

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1

0

5

db2576ee46ce4b266866ce08dbf3f4913dbd4ee3

300

py

Python

tests/02_acceptance/22_outputs_ext/conftest.py

opentelekomcloud-infra/delatore

6d16400cdfeab175ba6a7d7844d1d623d975fceb

[ "Apache-2.0" ]

1

2020-08-19T16:21:04.000Z

tests/02_acceptance/22_outputs_ext/conftest.py

opentelekomcloud-infra/delatore

6d16400cdfeab175ba6a7d7844d1d623d975fceb

[ "Apache-2.0" ]

86

2019-12-02T21:24:20.000Z

2021-03-04T13:29:35.000Z

tests/02_acceptance/22_outputs_ext/conftest.py

opentelekomcloud-infra/delatore

6d16400cdfeab175ba6a7d7844d1d623d975fceb

[ "Apache-2.0" ]

1

2020-03-19T09:25:07.000Z

import pytest from delatore.outputs import AlertaRunner, BotRunner @pytest.fixture def bot(service, stop_event): return BotRunner(service, stop_event) @pytest.fixture def alerta(service, stop_event): return AlertaRunner(msg_service=service, stop_event=stop_event, send_heartbeats=False)

21.428571

90

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300

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0.273504

0.188034

0

0.116667

300

13

91

23.076923

0.883019

0

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false

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null

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220d1bcf3405e0d1aa48f9a846fb79ae59c7feb9

206

py

Python

students/K33402/Dubina Sergey/laboratory_works/lab2/races_project/races/admin.py

ShubhamKunal/ITMO_ICT_WebDevelopment_2020-2021

bb91c91a56d21cec2b12ae4cc722eaa652a88420

[ "MIT" ]

4

2020-09-03T15:41:42.000Z

2021-12-24T15:28:20.000Z

students/K33402/Dubina Sergey/laboratory_works/lab2/races_project/races/admin.py

ShubhamKunal/ITMO_ICT_WebDevelopment_2020-2021

bb91c91a56d21cec2b12ae4cc722eaa652a88420

[ "MIT" ]

48

2020-09-13T20:22:42.000Z

2021-04-30T11:13:30.000Z

students/K33402/Dubina Sergey/laboratory_works/lab2/races_project/races/admin.py

ShubhamKunal/ITMO_ICT_WebDevelopment_2020-2021

bb91c91a56d21cec2b12ae4cc722eaa652a88420

[ "MIT" ]

69

2020-09-06T10:32:37.000Z

2021-11-28T18:13:17.000Z

from django.contrib import admin from .models import * admin.site.register(Driver) admin.site.register(Car) admin.site.register(Race) admin.site.register(Registration) admin.site.register(Comment)

22.888889

34

0.781553

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206

5.75

0.464286

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true

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5

224105746dcac638e5fe296794c2844593099b12

126

py

Python

2-Python-Fundamentals (Jan 2021)/Course-Exercises-and-Exams/01-Basic-Syntax-Conditional-Statements-and-Loops/03_More_Exercises-NOT-DONE-YET/01_Find-The-Largest.py

karolinanikolova/SoftUni-Software-Engineering

7891924956598b11a1e30e2c220457c85c40f064

[ "MIT" ]

null

2-Python-Fundamentals (Jan 2021)/Course-Exercises-and-Exams/01-Basic-Syntax-Conditional-Statements-and-Loops/03_More_Exercises-NOT-DONE-YET/01_Find-The-Largest.py

karolinanikolova/SoftUni-Software-Engineering

7891924956598b11a1e30e2c220457c85c40f064

[ "MIT" ]

null

2-Python-Fundamentals (Jan 2021)/Course-Exercises-and-Exams/01-Basic-Syntax-Conditional-Statements-and-Loops/03_More_Exercises-NOT-DONE-YET/01_Find-The-Largest.py

karolinanikolova/SoftUni-Software-Engineering

7891924956598b11a1e30e2c220457c85c40f064

[ "MIT" ]

null

# 1. Find the Largest # Given a number, print the largest number that can be formed from the digits of the given number.

15.75

98

0.730159

22

126

4.181818

0.681818

0.217391

0

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5

22445dd8a0078122aa6666e4dbc995d216a4a083

96

py

Python

venv/lib/python3.8/site-packages/future/moves/urllib/error.py

Retraces/UkraineBot

3d5d7f8aaa58fa0cb8b98733b8808e5dfbdb8b71

[ "MIT" ]

2

2022-03-13T01:58:52.000Z

2022-03-31T06:07:54.000Z

venv/lib/python3.8/site-packages/future/moves/urllib/error.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

19

2021-11-20T04:09:18.000Z

2022-03-23T15:05:55.000Z

venv/lib/python3.8/site-packages/future/moves/urllib/error.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

null

/home/runner/.cache/pip/pool/81/fa/ca/ceffba5b93a3ccd21f8ef25a424c400512f29b62b08df2855d274307ad

96

0.895833

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null

1

0

1

0

5

224641abc0be2dee8d10b7e0329eb91225f1c22b

79

py

Python

project-scaffolds/python-package/cluedo/models/__init__.py

ranuzz/makeall-code

34bf5c1b73870884ceafd3f7d4b18be29127cab1

[ "MIT" ]

2

2021-11-02T04:21:41.000Z

2021-12-03T22:47:10.000Z

project-scaffolds/python-package/cluedo/models/__init__.py

ranuzz/makeall-code

34bf5c1b73870884ceafd3f7d4b18be29127cab1

[ "MIT" ]

null

project-scaffolds/python-package/cluedo/models/__init__.py

ranuzz/makeall-code

34bf5c1b73870884ceafd3f7d4b18be29127cab1

[ "MIT" ]

2

2022-01-29T10:52:16.000Z

2022-02-13T18:10:14.000Z

from __future__ import absolute_import from cluedo.models.sample import Sample

26.333333

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0

5

2276abba0d6a88f2e185da835d5522aa5630c126

74

py

Python

socialchoice/__init__.py

ashwinreddy/voting

4a9ef46901ddad23e814d5744944463f6fd9ae83

[ "MIT" ]

null

socialchoice/__init__.py

ashwinreddy/voting

4a9ef46901ddad23e814d5744944463f6fd9ae83

[ "MIT" ]

null

socialchoice/__init__.py

ashwinreddy/voting

4a9ef46901ddad23e814d5744944463f6fd9ae83

[ "MIT" ]

null

from .voting import * from .preference_schedule import PreferenceSchedule

24.666667

51

0.851351

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74

7.75

0.75

0

0.108108

74

2

52

37

0.939394

0

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true

0

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1

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null

0

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null

0

1

0

1

0

1

0

5

97f7ae21b79ca272342a429da38b1e29f9e2ae3b

535

py

Python

aiosaber/__init__.py

flowsaber/aiosaber

480d1bf49c9612c97ad20d008469ae94c1fbffd3

[ "MIT" ]

null

aiosaber/__init__.py

flowsaber/aiosaber

480d1bf49c9612c97ad20d008469ae94c1fbffd3

[ "MIT" ]

null

aiosaber/__init__.py

flowsaber/aiosaber

480d1bf49c9612c97ad20d008469ae94c1fbffd3

[ "MIT" ]

null

__version__ = '0.0.1.1' import warnings import uvloop # noinspection PyUnresolvedReferences from .channel import * # noinspection PyUnresolvedReferences from .flow import * # noinspection PyUnresolvedReferences from .middleware import BaseHandler, BaseExecutor, BaseBuilder # noinspection PyUnresolvedReferences from .operators import * # noinspection PyUnresolvedReferences from .task import * uvloop.install() warnings.filterwarnings('ignore', category=DeprecationWarning) warnings.filterwarnings('ignore', category=UserWarning)

25.47619

62

0.828037

49

535

8.959184

0.469388

0.387244

0.432802

0.300683

0

0.008299

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535

20

63

26.75

0.90249

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0.636364

0

null

1

0

null

0

1

0

1

0

5

3f131b4232bd51dd6419020c4a76ef5643e8e65f

308

py

Python

zippy/edu.uci.python.test/src/tests/megaguards/for/test4.py

securesystemslab/zippy-megaguards

9e3324d6aea0327fe499b9e07b1a67194ddd1db3

[ "BSD-3-Clause" ]

1

2018-07-19T21:15:29.000Z

zippy/edu.uci.python.test/src/tests/megaguards/for/test4.py

securesystemslab/zippy-megaguards

9e3324d6aea0327fe499b9e07b1a67194ddd1db3

[ "BSD-3-Clause" ]

null

zippy/edu.uci.python.test/src/tests/megaguards/for/test4.py

securesystemslab/zippy-megaguards

9e3324d6aea0327fe499b9e07b1a67194ddd1db3

[ "BSD-3-Clause" ]

null

a = [[1, 2, 3], [1, 2, 3], [1, 2, 3]] b = [4, 5, 6] c = [0, 0, 0] def t(): for j in range(len(a)): for [A1, A2, A3] in [[1, 2, 3], [1, 2, 3], [1, 2, 3]]: for B in b: c[A1-1] = B + A1*2 c[A2-1] = B + A2*2 c[A3-1] = B + A3*2 t() print(c)

23.692308

62

0.308442

65

308

1.461538

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0.189474

0.168421

0.189474

0

0.224138

0.435065

308

12

63

25.666667

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null

0

1

0

1

0

1

0

null

0

5

3f57978563e0ff1bf859ce4d289508f63c33f02b

216

py

Python

openprocurement/auction/tests/test_core.py

OrysiaDrabych/openprocurement.auction

d68b4aca7313dd4c7c13bd22c772a32a1b70d79f

[ "Apache-2.0" ]

23

2015-07-09T17:07:39.000Z

2020-11-14T11:23:39.000Z

openprocurement/auction/tests/test_core.py

OrysiaDrabych/openprocurement.auction

d68b4aca7313dd4c7c13bd22c772a32a1b70d79f

[ "Apache-2.0" ]

23

2015-01-14T22:33:58.000Z

2018-02-08T16:31:20.000Z

openprocurement/auction/tests/test_core.py

OrysiaDrabych/openprocurement.auction

d68b4aca7313dd4c7c13bd22c772a32a1b70d79f

[ "Apache-2.0" ]

27

2015-02-17T10:22:32.000Z

2021-06-08T06:50:45.000Z

from openprocurement.auction.core import compoenents class TestDispatch(object): def test_predicate(self): pass def test_plugin_load(self): pass def test_adapters(self): pass

15.428571

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25

216

5.68

0.68

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0.15493

0.211268

0

0.259259

216

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0.8875

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1

0

null

0

1

0

1

0

1

0

5

3f5863f0a28265b1b51112a92fa21a99ee26b295

131

py

Python

cowsay_app/admin.py

JustDeWitt8485/django-cowsay

4c3cf91eb7ba394cd7fd581b3d86c56494acf413

[ "MIT" ]

null

cowsay_app/admin.py

JustDeWitt8485/django-cowsay

4c3cf91eb7ba394cd7fd581b3d86c56494acf413

[ "MIT" ]

null

cowsay_app/admin.py

JustDeWitt8485/django-cowsay

4c3cf91eb7ba394cd7fd581b3d86c56494acf413

[ "MIT" ]

null

from django.contrib import admin from cowsay_app.models import Message # Register your models here. admin.site.register(Message)

18.714286

37

0.816794

19

131

5.578947

0.684211

0

0.122137

131

6

38

21.833333

0.921739

0.198473

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

58d207950de0f8905e72ba1e593ed6460e4176ce

536

py

Python

survey/questions/__init__.py

vahndi/quant-survey

1a0fcf0c22e2c7306cba0218f82d24c97d28ee1f

[ "MIT" ]

2

2021-04-10T21:50:36.000Z

2022-03-26T16:46:52.000Z

survey/questions/__init__.py

vahndi/quant-survey

1a0fcf0c22e2c7306cba0218f82d24c97d28ee1f

[ "MIT" ]

11

2020-08-30T18:47:14.000Z

2021-09-09T15:57:19.000Z

survey/questions/__init__.py

vahndi/quant-survey

1a0fcf0c22e2c7306cba0218f82d24c97d28ee1f

[ "MIT" ]

null

from survey.questions._abstract.question import Question from survey.questions.count_question import CountQuestion from survey.questions.free_text_question import FreeTextQuestion from survey.questions.likert_question import LikertQuestion from survey.questions.multi_choice_question import MultiChoiceQuestion from survey.questions.positive_measure_question import PositiveMeasureQuestion from survey.questions.ranked_choice_question import RankedChoiceQuestion from survey.questions.single_choice_question import SingleChoiceQuestion

59.555556

78

0.908582

61

536

7.770492

0.377049

0.168776

0.320675

0

0.059701

536

8

79

67

0.940476

0

1

0

true

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

5

451f5d066fa316abde2b3536411ce20cf3e85e2c

217

py

Python

perimetro_cuadrado.py

Sebas2587/practica_python

2d3a92c4f97afd7f199e8beee8cc87251f249edf

[ "MIT" ]

null

perimetro_cuadrado.py

Sebas2587/practica_python

2d3a92c4f97afd7f199e8beee8cc87251f249edf

[ "MIT" ]

null

perimetro_cuadrado.py

Sebas2587/practica_python

2d3a92c4f97afd7f199e8beee8cc87251f249edf

[ "MIT" ]

null

# calculo del perimetro del cuadrado print('calculo del perimetro cuadrado') lado = int(input('introduce el valor del lado que conoces del cuadrado: ')) lado *= 4 print('el perimetro del cuadrado es: ',lado)

27.125

76

0.718894

31

217

5.032258

0.483871

0.211538

0.24359

0

0.00565

0.184332

217

7

77

31

0.875706

0.156682

0

0.655172

0

1

0

false

0

0.5

0

null

1

0

1

0

1

0

null

0

1

0

5

18959d46b97c1a4842aa58f0624fc71e16201b7e

254

py

Python

wingedsheep/carcassonne/objects/city.py

SuryaVikram/CarcassonneMaster

cc0201638dfea05b254833097329729e9b8a410c

[ "MIT" ]

11

2020-05-19T17:29:18.000Z

2022-03-24T06:22:50.000Z

wingedsheep/carcassonne/objects/city.py

SuryaVikram/CarcassonneMaster

cc0201638dfea05b254833097329729e9b8a410c

[ "MIT" ]

6

2020-05-18T09:24:26.000Z

2022-03-12T00:30:21.000Z

wingedsheep/carcassonne/objects/city.py

SuryaVikram/CarcassonneMaster

cc0201638dfea05b254833097329729e9b8a410c

[ "MIT" ]

5

2021-09-16T11:53:26.000Z

2022-03-30T12:08:56.000Z

from wingedsheep.carcassonne.objects.coordinate_with_side import CoordinateWithSide class City: def __init__(self, city_positions: [CoordinateWithSide], finished: bool): self.city_positions = city_positions self.finished = finished

31.75

83

0.775591

27

254

6.962963

0.62963

0.207447

0.180851

0

0.15748

254

7

84

36.285714

0.878505

0

1

0.2

false

0

0.2

0

0.6

0

1

0

null

1

0

1

0

null

0

1

0

5

18d0326c9387f6a919d3333e47f316d631de0c3e

66

py

Python

main.py

csy1993/PythonLeetcode

98fd9b1639626459fbf81bf94727775d39248dde

[ "Apache-2.0" ]

null

main.py

csy1993/PythonLeetcode

98fd9b1639626459fbf81bf94727775d39248dde

[ "Apache-2.0" ]

null

main.py

csy1993/PythonLeetcode

98fd9b1639626459fbf81bf94727775d39248dde

[ "Apache-2.0" ]

null

''' * @File: main.py * @Author: CSY * @Date: 2019/7/27 - 9:40 '''

11

25

0.5

11

66

3

1

0

0.188679

0.19697

66

5

26

13.2

0.433962

0.863636

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

18d40bf9458210791473817db5245f750de4bebe

45

py

Python

tests/__init__.py

tsouchlarakis/sql-query-tools

03de8c971ba3c937d72b567938689fcb37482073

[ "MIT" ]

null

tests/__init__.py

tsouchlarakis/sql-query-tools

03de8c971ba3c937d72b567938689fcb37482073

[ "MIT" ]

null

tests/__init__.py

tsouchlarakis/sql-query-tools

03de8c971ba3c937d72b567938689fcb37482073

[ "MIT" ]

null

"""Unit test package for sql_query_tools."""

22.5

44

0.733333

7

45

4.428571

1

0

0.111111

45

1

45

0.775

0.844444

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

18f632ead7eea2d6005e0c8453f48e7f42455efe

4,792

py

Python

beam_analysis/AppliedLoad.py

XDwightsBeetsX/beam-analysis

714b90cdc6b77d6da6d2182b66efead17db2617d

[ "MIT" ]

1

2021-08-13T08:08:36.000Z

beam_analysis/AppliedLoad.py

XDwightsBeetsX/beam-analysis

714b90cdc6b77d6da6d2182b66efead17db2617d

[ "MIT" ]

10

2021-02-23T06:47:48.000Z

2022-01-01T19:27:36.000Z

beam_analysis/AppliedLoad.py

XDwightsBeetsX/beam_analysis

714b90cdc6b77d6da6d2182b66efead17db2617d

[ "MIT" ]

null

from enum import Enum from beam_analysis.BeamAnalysisTypes import BeamAnalysisTypes class AppliedLoadTypes(Enum): """ The assigned values here matter and are used in Singularity analysis """ DISTRIBUTED_LOAD = 1 POINT_LOAD = 2 MOMENT = 3 class AppliedLoad(object): def __init__(self, magnitude, appliedLoadType): self.Magnitude = magnitude self.AppliedLoadType = appliedLoadType def evaluateAt(self, x, beamAnalysisType): pass def getString(self, beamAnalysisType): pass class DistributedLoad(AppliedLoad): def __init__(self, start, stop, magnitude): super().__init__(magnitude, AppliedLoadTypes.DISTRIBUTED_LOAD) self.Start = start self.Stop = stop def evaluateAt(self, x, beamAnalysisType): if not (self.Start <= x): return 0.0 if beamAnalysisType == BeamAnalysisTypes.SHEAR: return self.Magnitude * (x - self.Start) if beamAnalysisType == BeamAnalysisTypes.BENDING: return (self.Magnitude / 2) * (x - self.Start) ** 2 if beamAnalysisType == BeamAnalysisTypes.ANGLE: return (self.Magnitude / 6) * (x - self.Start) ** 3 if beamAnalysisType == BeamAnalysisTypes.DEFLECTION: return (self.Magnitude / 24) * (x - self.Start) ** 4 def getString(self, beamAnalysisType): mag = abs(self.Magnitude) if beamAnalysisType == BeamAnalysisTypes.SHEAR: if (self.Start == 0): return f"{mag}x" return f"{mag}<x - {self.Start}>^1" if beamAnalysisType == BeamAnalysisTypes.BENDING: if (self.Start == 0): return f"({mag} / 2)x^2" return f"({mag} / 2)<x - {self.Start}>^2" if beamAnalysisType == BeamAnalysisTypes.ANGLE: if (self.Start == 0): return f"({mag} / 6)x^3" return f"({mag} / 6)<x - {self.Start}>^3" if beamAnalysisType == BeamAnalysisTypes.DEFLECTION: if (self.Start == 0): return f"({mag} / 24)x^4" return f"({mag} / 24)<x - {self.Start}>^4" class PointLoad(AppliedLoad): def __init__(self, location, magnitude): super().__init__(magnitude, AppliedLoadTypes.POINT_LOAD) self.Location = location def evaluateAt(self, x, beamAnalysisType): if not (self.Location <= x): return 0.0 if beamAnalysisType == BeamAnalysisTypes.SHEAR: return self.Magnitude if beamAnalysisType == BeamAnalysisTypes.BENDING: return self.Magnitude * (x - self.Location) if beamAnalysisType == BeamAnalysisTypes.ANGLE: return (self.Magnitude / 2) * (x - self.Location) ** 2 if beamAnalysisType == BeamAnalysisTypes.DEFLECTION: return (self.Magnitude / 6) * (x - self.Location) ** 3 def getString(self, beamAnalysisType): mag = abs(self.Magnitude) if beamAnalysisType == BeamAnalysisTypes.SHEAR: if (self.Location == 0): return f"{mag}" return f"{mag}<x - {self.Location}>^0" if beamAnalysisType == BeamAnalysisTypes.BENDING: return f"{mag}<x - {self.Location}>^1" if beamAnalysisType == BeamAnalysisTypes.ANGLE: return f"({mag} / 2)<x - {self.Location}>^2" if beamAnalysisType == BeamAnalysisTypes.DEFLECTION: return f"({mag} / 6)<x - {self.Location}>^3" class Moment(AppliedLoad): def __init__(self, location, magnitude): super().__init__(magnitude, AppliedLoadTypes.MOMENT) self.Location = location def evaluateAt(self, x, beamAnalysisType): if not (self.Location <= x): return 0.0 if beamAnalysisType == BeamAnalysisTypes.SHEAR: return 0.0 if beamAnalysisType == BeamAnalysisTypes.BENDING: return self.Magnitude if beamAnalysisType == BeamAnalysisTypes.ANGLE: return self.Magnitude * (x - self.Location) if beamAnalysisType == BeamAnalysisTypes.DEFLECTION: return (self.Magnitude / 2) * (x - self.Location) ** 2 def getString(self, beamAnalysisType): mag = abs(self.Magnitude) if beamAnalysisType == BeamAnalysisTypes.SHEAR: return f"0.0" if beamAnalysisType == BeamAnalysisTypes.BENDING: if (self.Location == 0): return f"{mag}" return f"{mag}<x - {self.Location}>^0" if beamAnalysisType == BeamAnalysisTypes.ANGLE: return f"{mag}<x - {self.Location}>^1" if beamAnalysisType == BeamAnalysisTypes.DEFLECTION: return f"({mag} / 2)<x - {self.Location}>^2"

36.030075

72

0.595785

484

4,792

5.830579

0.117769

0.153083

0.297661

0.089298

0.824238

0.766123

0.72112

0.587881

0.54146

0.416726

0

0.016765

0.290484

4,792

132

73

36.30303

0.813235

0.01419

0

0.656863

0

0.0839

0

1

0.117647

false

0.019608

0

0.539216

0

null

0

1

0

1

0

null

0

1

0

5

7a00061bffda2979f894d9c3c2f02401c27df1bf

142

py

Python

tests/steps/import_behave_core_steps.py

berkeleybop/behave_core

aa8354fcf0deeb68f6add8749d80d0a2a1bef16d

[ "BSD-3-Clause" ]

null

tests/steps/import_behave_core_steps.py

berkeleybop/behave_core

aa8354fcf0deeb68f6add8749d80d0a2a1bef16d

[ "BSD-3-Clause" ]

null

tests/steps/import_behave_core_steps.py

berkeleybop/behave_core

aa8354fcf0deeb68f6add8749d80d0a2a1bef16d

[ "BSD-3-Clause" ]

null

#### #### Not really much here but to indroduce the step libraries. #### from behave_core import json_data_steps, resource_steps, page_steps

23.666667

67

0.753521

21

142

4.857143

0.904762

0

0.140845

142

5

68

28.4

0.836066

0.401408

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

e151d2ce34f1d3b94b709c20d0351a387b8c2564

13,604

py

Python

silver_waffle/base/constants.py

miguelagustin/silver-waffle-trading-bot

a20ed31b075fd432952ce5608868a47472f32c6b

[ "MIT" ]

2

2021-03-16T00:39:47.000Z

2021-03-16T00:57:35.000Z

silver_waffle/base/constants.py

miguelagustin/silver-waffle-trading-bot

a20ed31b075fd432952ce5608868a47472f32c6b

[ "MIT" ]

null

silver_waffle/base/constants.py

miguelagustin/silver-waffle-trading-bot

a20ed31b075fd432952ce5608868a47472f32c6b

[ "MIT" ]

1

2021-07-19T21:45:54.000Z

STABLECOIN_SYMBOLS = ['USDC', 'DAI', 'USDT', 'BUSD', 'TUSD', 'PAX', 'VAI'] FREE_RPC_ENDPOINTS = ['https://api.mycryptoapi.com/eth', 'https://nodes.mewapi.io/rpc/eth', 'https://mainnet-nethermind.blockscout.com/', 'https://mainnet.eth.cloud.ava.do/', 'https://cloudflare-eth.com/'] CHAINLINK_ADDRESSES = {'1INCH-ETH': '0x72AFAECF99C9d9C8215fF44C77B94B99C28741e8', 'AAVE-ETH': '0x6Df09E975c830ECae5bd4eD9d90f3A95a4f88012', 'AAVE-USD': '0x547a514d5e3769680Ce22B2361c10Ea13619e8a9', 'ADA-USD': '0xAE48c91dF1fE419994FFDa27da09D5aC69c30f55', 'ADX-USD': '0x231e764B44b2C1b7Ca171fa8021A24ed520Cde10', 'ALPHA-ETH': '0x89c7926c7c15fD5BFDB1edcFf7E7fC8283B578F6', 'AMP-USD': '0x8797ABc4641dE76342b8acE9C63e3301DC35e3d8', 'AMPL-ETH': '0x492575FDD11a0fCf2C6C719867890a7648d526eB', 'AMPL-USD': '0xe20CA8D7546932360e37E9D72c1a47334af57706', 'ANT-ETH': '0x8f83670260F8f7708143b836a2a6F11eF0aBac01', 'APY TVL': '0x889f28E24EA0573db472EedEf7c4137B3357ac2B', 'AUD-USD': '0x77F9710E7d0A19669A13c055F62cd80d313dF022', 'BADGER-ETH': '0x58921Ac140522867bf50b9E009599Da0CA4A2379', 'BAL-ETH': '0xC1438AA3823A6Ba0C159CfA8D98dF5A994bA120b', 'BAND-ETH': '0x0BDb051e10c9718d1C29efbad442E88D38958274', 'BAND-USD': '0x919C77ACc7373D000b329c1276C76586ed2Dd19F', 'BAT-ETH': '0x0d16d4528239e9ee52fa531af613AcdB23D88c94', 'BCH-USD': '0x9F0F69428F923D6c95B781F89E165C9b2df9789D', 'BNB-ETH': '0xc546d2d06144F9DD42815b8bA46Ee7B8FcAFa4a2', 'BNB-USD': '0x14e613AC84a31f709eadbdF89C6CC390fDc9540A', 'BNT-ETH': '0xCf61d1841B178fe82C8895fe60c2EDDa08314416', 'BNT-USD': '0x1E6cF0D433de4FE882A437ABC654F58E1e78548c', 'BTC-ARS': '0xA912dd6b62B1C978e205B86994E057B1b494D73a', 'BTC-ETH': '0xdeb288F737066589598e9214E782fa5A8eD689e8', 'BTC-USD': '0xF4030086522a5bEEa4988F8cA5B36dbC97BeE88c', 'BTC-height': '0x4D2574c790d836b8C886615d927e9BA585B10EbA', 'BTC Difficulty': '0xA792Ebd0E4465DB2657c7971519Cfa0f0275F428', 'BUSD-ETH': '0x614715d2Af89E6EC99A233818275142cE88d1Cfd', 'BZRX-ETH': '0x8f7C7181Ed1a2BA41cfC3f5d064eF91b67daef66', 'CAD-USD': '0xa34317DB73e77d453b1B8d04550c44D10e981C8e', 'CEL-ETH': '0x75FbD83b4bd51dEe765b2a01e8D3aa1B020F9d33', 'CHF-USD': '0x449d117117838fFA61263B61dA6301AA2a88B13A', 'CNY-USD': '0xeF8A4aF35cd47424672E3C590aBD37FBB7A7759a', 'COMP-ETH': '0x1B39Ee86Ec5979ba5C322b826B3ECb8C79991699', 'COMP-USD': '0xdbd020CAeF83eFd542f4De03e3cF0C28A4428bd5', 'COVER-ETH': '0x7B6230EF79D5E97C11049ab362c0b685faCBA0C2', 'COVER-USD': '0x0ad50393F11FfAc4dd0fe5F1056448ecb75226Cf', 'CREAM-ETH': '0x82597CFE6af8baad7c0d441AA82cbC3b51759607', 'CRO-ETH': '0xcA696a9Eb93b81ADFE6435759A29aB4cf2991A96', 'CRV-ETH': '0x8a12Be339B0cD1829b91Adc01977caa5E9ac121e', 'CV-Index': '0x1B58B67B2b2Df71b4b0fb6691271E83A0fa36aC5', 'DAI-ETH': '0x773616E4d11A78F511299002da57A0a94577F1f4', 'DAI-USD': '0xAed0c38402a5d19df6E4c03F4E2DceD6e29c1ee9', 'DASH-USD': '0xFb0cADFEa136E9E343cfb55B863a6Df8348ab912', 'DIGG-BTC': '0x418a6C98CD5B8275955f08F0b8C1c6838c8b1685', 'DMG-ETH': '0xD010e899f7ab723AC93f825cDC5Aa057669557c2', 'DOT-USD': 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'0x134fE0a225Fb8e6683617C13cEB6B3319fB4fb82', 'WNXM-ETH': '0xe5Dc0A609Ab8bCF15d3f35cFaa1Ff40f521173Ea', 'WOM-ETH': '0xcEBD2026d3C99F2a7CE028acf372C154aB4638a9', 'WTI-USD': '0xf3584F4dd3b467e73C2339EfD008665a70A4185c', 'XAG-USD': '0x379589227b15F1a12195D3f2d90bBc9F31f95235', 'XAU-USD': '0x214eD9Da11D2fbe465a6fc601a91E62EbEc1a0D6', 'XHV-USD': '0xeccBeEd9691d8521385259AE596CF00D68429de0', 'XMR-USD': '0xFA66458Cce7Dd15D8650015c4fce4D278271618F', 'XRP-USD': '0xCed2660c6Dd1Ffd856A5A82C67f3482d88C50b12', 'XTZ-USD': '0x5239a625dEb44bF3EeAc2CD5366ba24b8e9DB63F', 'YFI-ETH': '0x7c5d4F8345e66f68099581Db340cd65B078C41f4', 'YFI-USD': '0xA027702dbb89fbd58938e4324ac03B58d812b0E1', 'YFII-ETH': '0xaaB2f6b45B28E962B3aCd1ee4fC88aEdDf557756', 'ZRX-ETH': '0x2Da4983a622a8498bb1a21FaE9D8F6C664939962', 'ZRX-USD': '0x2885d15b8Af22648b98B122b22FDF4D2a56c6023', 'sCEX-USD': '0x283D433435cFCAbf00263beEF6A362b7cc5ed9f2', 'sDEFI-USD': '0xa8E875F94138B0C5b51d1e1d5dE35bbDdd28EA87'} FIAT_SYMBOLS = ['AED', 'AFN', 'ALL', 'AMD', 'ANG', 'AOA', 'ARS', 'AUD', 'AWG', 'AZN', 'BAM', 'BBD', 'BDT', 'BGN', 'BHD', 'BIF', 'BMD', 'BND', 'BOB', 'BRL', 'BSD', 'BTN', 'BWP', 'BYR', 'BZD', 'CAD', 'CDF', 'CHF', 'CLP', 'CNY', 'COP', 'CRC', 'CUC', 'CVE', 'CZK', 'DJF', 'DKK', 'DOP', 'DZD', 'EEK', 'EGP', 'ERN', 'ETB', 'EUR', 'FJD', 'FKP', 'GBP', 'GEL', 'GHS', 'GIP', 'GMD', 'GNF', 'GQE', 'GTQ', 'GYD', 'HKD', 'HNL', 'HRK', 'HTG', 'HUF', 'IDR', 'ILS', 'INR', 'IQD', 'IRR', 'ISK', 'JMD', 'JOD', 'JPY', 'KES', 'KGS', 'KHR', 'KMF', 'KPW', 'KRW', 'KWD', 'KYD', 'KZT', 'LAK', 'LBP', 'LKR', 'LRD', 'LSL', 'LTL', 'LVL', 'LYD', 'MAD', 'MDL', 'MGA', 'MKD', 'MMK', 'MNT', 'MOP', 'MRO', 'MUR', 'MVR', 'MWK', 'MXN', 'MYR', 'MZM', 'NAD', 'NGN', 'NIO', 'NOK', 'NPR', 'NZD', 'OMR', 'PAB', 'PEN', 'PGK', 'PHP', 'PKR', 'PLN', 'PYG', 'QAR', 'RON', 'RSD', 'RUB', 'SAR', 'SBD', 'SCR', 'SDG', 'SEK', 'SGD', 'SHP', 'SLL', 'SOS', 'SRD', 'SYP', 'SZL', 'THB', 'TJS', 'TMT', 'TND', 'TRY', 'TTD', 'TWD', 'TZS', 'UAH', 'UGX', 'USD', 'UYU', 'UZS', 'VEB', 'VND', 'VUV', 'WST', 'XAF', 'XCD', 'XDR', 'XOF', 'XPF', 'YER', 'ZAR', 'ZMK', 'ZWR']

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Data-Structures/linked-list/challenge-07/ll-kth-from-end/tests/test_ll_kth_from_end.py

AymanNaif/data-structures-and-algorithms

f68c8a2829362a4c9cf9084973b56464ca951ca5

[ "MIT" ]

null

Data-Structures/linked-list/challenge-07/ll-kth-from-end/tests/test_ll_kth_from_end.py

AymanNaif/data-structures-and-algorithms

f68c8a2829362a4c9cf9084973b56464ca951ca5

[ "MIT" ]

1

2021-06-13T16:51:53.000Z

Data-Structures/linked-list/challenge-07/ll-kth-from-end/tests/test_ll_kth_from_end.py

AymanNaif/data-structures-and-algorithms

f68c8a2829362a4c9cf9084973b56464ca951ca5

[ "MIT" ]

1

2021-04-26T09:16:53.000Z

from ll_kth_from_end import __version__ from ll_kth_from_end.ll_kth_from_end import LinkedList def test_version(): assert __version__ == '0.1.0' def test_k_greater(): ll = LinkedList() ll.append('test') ll.append('hii') ll.insert('hisai') ll.insertBefore('test', 'wow') ll.insertAfter('hii', 55) print(ll.node_lst) actual = ll.kthFromEnd(10) excepted = 'out of index' assert actual == excepted def test_k_same_length(): ll = LinkedList() ll.append('test') ll.append('hii') ll.insert('hisai') ll.insertBefore('test', 'wow') ll.insertAfter('hii', 55) print(ll.node_lst) actual = ll.kthFromEnd(5) excepted = 'out of index' assert actual == excepted def test_k_same_length(): ll = LinkedList() ll.append('test') ll.append('hii') ll.insert('hisai') ll.insertBefore('test', 'wow') ll.insertAfter('hii', 55) actual = ll.kthFromEnd(-1) excepted = 55 assert actual == excepted def test_with_size_1_1(): ll = LinkedList() ll.append('test') actual = ll.kthFromEnd(0) excepted = 'test' assert actual == excepted def test_with_size_1_2(): ll = LinkedList() ll.append('test') actual = ll.kthFromEnd(4) excepted = 'out of index' assert actual == excepted def test_with_size_1_3(): ll = LinkedList() ll.append('test') actual = ll.kthFromEnd(-2) excepted = 'out of index' assert actual == excepted def test_happy_path(): ll = LinkedList() ll.append('test') ll.append('hii') ll.insert('hisai') ll.insertBefore('test', 'wow') ll.insertAfter('hii', 55) actual = ll.kthFromEnd(2) excepted = 'test' assert actual == excepted

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py

Python

randterrainpy/__init__.py

jackromo/RandTerrainPy

4446627848dd1f7d80e613f4557c0eed68efe8cf

[ "MIT" ]

7

2017-04-17T19:34:52.000Z

2022-01-18T23:37:31.000Z

randterrainpy/__init__.py

jackromo/RandTerrainPy

4446627848dd1f7d80e613f4557c0eed68efe8cf

[ "MIT" ]

null

randterrainpy/__init__.py

jackromo/RandTerrainPy

4446627848dd1f7d80e613f4557c0eed68efe8cf

[ "MIT" ]

5

2017-11-08T11:22:37.000Z

2021-08-07T18:26:54.000Z

from terrain import * from exceptions import * from terraingen import *

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py

Python

pyvodb/__main__.py

messa/pyvodb

6b61d82448470bad518f9db6e8ef5abdc8056379

[ "MIT" ]

1

2018-11-27T15:13:53.000Z

pyvodb/__main__.py

messa/pyvodb

6b61d82448470bad518f9db6e8ef5abdc8056379

[ "MIT" ]

7

2015-07-30T15:01:31.000Z

2018-02-27T15:23:14.000Z

pyvodb/__main__.py

messa/pyvodb

6b61d82448470bad518f9db6e8ef5abdc8056379

[ "MIT" ]

5

2015-06-25T09:49:25.000Z

2018-02-11T12:25:40.000Z

from pyvodb.cli import main main()

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py

Python

src/numgraph/__init__.py

gravins/NumGraph

69ada09f0e434411a61ab36cccfface77a86aa65

[ "MIT" ]

null

src/numgraph/__init__.py

gravins/NumGraph

69ada09f0e434411a61ab36cccfface77a86aa65

[ "MIT" ]

null

src/numgraph/__init__.py

gravins/NumGraph

69ada09f0e434411a61ab36cccfface77a86aa65

[ "MIT" ]

null

from .distributions import barabasi_albert, clique, erdos_renyi, full_grid, random_tree, simple_grid, star, stochastic_block_model

65.5

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5

833af10d0ac26673e02d8bd8c8ddc1b5f0deabe9

116

py

Python

cats/admin.py

CodeByLine/dj4e-tutorial

8cb592658a18777220eb297e63d42f2a7d53733c

[ "CC-BY-3.0" ]

null

cats/admin.py

CodeByLine/dj4e-tutorial

8cb592658a18777220eb297e63d42f2a7d53733c

[ "CC-BY-3.0" ]

3

2021-04-12T16:18:58.000Z

2021-06-10T20:40:08.000Z

cats/admin.py

CodeByLine/dj4e-tutorial

8cb592658a18777220eb297e63d42f2a7d53733c

[ "CC-BY-3.0" ]

null

from django.contrib import admin from .models import Cat, Breed admin.site.register(Cat) admin.site.register(Breed)

23.2

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834d2ac6ad807d23057e2122ced409903c31de0b

217

py

Python

ls/joyous/holidays/workalendar.py

gardentronic/ls.joyous

db2308ce59cd072b83a465b02b9f29c00269fdbb

[ "BSD-3-Clause" ]

null

ls/joyous/holidays/workalendar.py

gardentronic/ls.joyous

db2308ce59cd072b83a465b02b9f29c00269fdbb

[ "BSD-3-Clause" ]

null

ls/joyous/holidays/workalendar.py

gardentronic/ls.joyous

db2308ce59cd072b83a465b02b9f29c00269fdbb

[ "BSD-3-Clause" ]

null

# ------------------------------------------------------------------------------ # Joyous Holidays - Workalendar compatibility # ------------------------------------------------------------------------------ # Monkey

43.4

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83584ad56400971fea82b81adf55917b7d2f0ae6

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py

Python

tests/python/unittest/test_te_schedule_postproc_rewrite_for_tensor_core.py

XiaoSong9905/tvm

48940f697e15d5b50fa1f032003e6c700ae1e423

[ "Apache-2.0" ]

4,640

2017-08-17T19:22:15.000Z

2019-11-04T15:29:46.000Z

tests/python/unittest/test_te_schedule_postproc_rewrite_for_tensor_core.py

XiaoSong9905/tvm

48940f697e15d5b50fa1f032003e6c700ae1e423

[ "Apache-2.0" ]

3,022

2020-11-24T14:02:31.000Z

2022-03-31T23:55:31.000Z

tests/python/unittest/test_te_schedule_postproc_rewrite_for_tensor_core.py

XiaoSong9905/tvm

48940f697e15d5b50fa1f032003e6c700ae1e423

[ "Apache-2.0" ]

1,352

2017-08-17T19:30:38.000Z

2019-11-04T16:09:29.000Z

# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # 'License'); you may not use this file except in compliance # with the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, # software distributed under the License is distributed on an # 'AS IS' BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the License for the # specific language governing permissions and limitations # under the License. import tvm from tvm import te from tvm import topi import numpy as np import tvm.testing def tensor_core_matmul(warp_tile_m=16, m=64, n=32, l=96): A = te.placeholder((n, l), name="A", dtype="float16") B = te.placeholder((l, m), name="B", dtype="float16") k = te.reduce_axis((0, l), name="k") C = te.compute( (n, m), lambda i, j: te.sum(A[i, k].astype("float32") * B[k, j].astype("float32"), axis=k) ) s = te.create_schedule(C.op) y, x = s[C].op.axis k = s[C].op.reduce_axis[0] AA = s.cache_read(A, "shared", [C]) AL = s.cache_read(AA, "local", [C]) BB = s.cache_read(B, "shared", [C]) BL = s.cache_read(BB, "local", [C]) CL = s.cache_write(C, "local") bx = 4 by = 32 step_k = 8 v = 4 TX = 8 TY = 1 tile_x = bx * TX tile_y = by * TY WX = min(warp_tile_m, tile_x) tile_k = 16 vthread = 1 yo, ty = s[C].split(y, tile_y * vthread) vy, ty = s[C].split(ty, tile_y) ty, yi = s[C].split(ty, TY) xo, xi = s[C].split(x, tile_x) tz, xi = s[C].split(xi, WX) tx, xi = s[C].split(xi, TX) ko, ki = s[CL].split(k, step_k * tile_k) kl, ki = s[CL].split(ki, tile_k) s[C].reorder(yo, xo, tz, ty, tx, yi, xi) s[C].bind(yo, te.thread_axis("blockIdx.y")) s[C].bind(xo, te.thread_axis("blockIdx.x")) s[C].bind(ty, te.thread_axis("threadIdx.y")) s[C].bind(tz, te.thread_axis("threadIdx.z")) s[C].bind(tx, te.thread_axis("threadIdx.x")) s[C].bind(vy, te.thread_axis((0, vthread), "vthread", name="vy")) s[CL].compute_at(s[C], tx) yo, xo = CL.op.axis s[CL].reorder(ko, kl, ki, yo, xo) s[AA].compute_at(s[CL], ko) xo, xi = s[AA].split(s[AA].op.axis[1], factor=bx * v) tz, tx = s[AA].split(xi, factor=(WX // TX) * v) tx, vec = s[AA].split(tx, factor=v) fused = s[AA].fuse(s[AA].op.axis[0], xo) _, ty = s[AA].split(fused, factor=by) s[AA].bind(ty, te.thread_axis("threadIdx.y")) s[AA].bind(tz, te.thread_axis("threadIdx.z")) s[AA].bind(tx, te.thread_axis("threadIdx.x")) s[AA].vectorize(vec) s[BB].compute_at(s[CL], ko) xo, xi = s[BB].split(s[BB].op.axis[1], factor=bx * v) tz, tx = s[BB].split(xi, factor=(WX // TX) * v) tx, vec = s[BB].split(tx, factor=v) fused = s[BB].fuse(s[BB].op.axis[0], xo) _, ty = s[BB].split(fused, factor=by) s[BB].bind(ty, te.thread_axis("threadIdx.y")) s[BB].bind(tz, te.thread_axis("threadIdx.z")) s[BB].bind(tx, te.thread_axis("threadIdx.x")) s[BB].vectorize(vec) s[AL].compute_at(s[CL], kl) s[BL].compute_at(s[CL], kl) s[CL].pragma(ko, "tensor_core") func = tvm.build(s, [A, B, C], "cuda") dev = tvm.cuda(0) a_np = np.random.uniform(size=(n, l)).astype(A.dtype) b_np = np.random.uniform(size=(l, m)).astype(B.dtype) c_np = np.zeros((n, m), dtype=np.float32) a = tvm.nd.array(a_np, dev) b = tvm.nd.array(b_np, dev) c = tvm.nd.array(np.zeros((n, m), dtype=C.dtype), dev) func(a, b, c) evaluator = func.time_evaluator(func.entry_name, dev, number=3) print("gemm m=%d n=%d k=%d: %f ms" % (m, n, l, evaluator(a, b, c).mean * 1e3)) c_np = np.dot(a_np, b_np) np.testing.assert_allclose(c_np, c.numpy(), rtol=1e-3) def tensor_core_batch_matmul(warp_tile_m=16, m=64, n=32, l=96, batch=2): A = te.placeholder((batch, n, l), name="A", dtype="float16") B = te.placeholder((batch, l, m), name="B", dtype="float16") k = te.reduce_axis((0, l), name="k") C = te.compute( (batch, n, m), lambda b, i, j: te.sum((A[b, i, k] * B[b, k, j]).astype("float32"), axis=k) ) s = te.create_schedule(C.op) z, y, x = s[C].op.axis k = s[C].op.reduce_axis[0] AA = s.cache_read(A, "shared", [C]) AL = s.cache_read(AA, "local", [C]) BB = s.cache_read(B, "shared", [C]) BL = s.cache_read(BB, "local", [C]) CL = s.cache_write(C, "local") bx = 2 by = 32 step_k = 8 v = 4 TX = 8 TY = 1 tile_x = bx * TX tile_y = by * TY WX = min(warp_tile_m, tile_x) tile_k = 16 vthread = 1 yo, ty = s[C].split(y, tile_y * vthread) vy, ty = s[C].split(ty, tile_y) ty, yi = s[C].split(ty, TY) xo, xi = s[C].split(x, tile_x) tz, xi = s[C].split(xi, WX) tx, xi = s[C].split(xi, TX) ko, ki = s[CL].split(k, step_k * tile_k) kl, ki = s[CL].split(ki, tile_k) s[C].reorder(z, yo, xo, tz, ty, tx, yi, xi) s[C].bind(z, te.thread_axis("blockIdx.z")) s[C].bind(yo, te.thread_axis("blockIdx.y")) s[C].bind(xo, te.thread_axis("blockIdx.x")) s[C].bind(ty, te.thread_axis("threadIdx.y")) s[C].bind(tz, te.thread_axis("threadIdx.z")) s[C].bind(tx, te.thread_axis("threadIdx.x")) s[C].bind(vy, te.thread_axis((0, vthread), "vthread", name="vy")) s[CL].compute_at(s[C], tx) zo, yo, xo = CL.op.axis s[CL].reorder(ko, kl, ki, zo, yo, xo) s[AA].compute_at(s[CL], ko) xo, xi = s[AA].split(s[AA].op.axis[2], factor=bx * v) tz, tx = s[AA].split(xi, factor=(WX // TX) * v) tx, vec = s[AA].split(tx, factor=v) fused = s[AA].fuse(s[AA].op.axis[1], xo) _, ty = s[AA].split(fused, factor=by) s[AA].bind(ty, te.thread_axis("threadIdx.y")) s[AA].bind(tz, te.thread_axis("threadIdx.z")) s[AA].bind(tx, te.thread_axis("threadIdx.x")) s[AA].vectorize(vec) s[BB].compute_at(s[CL], ko) xo, xi = s[BB].split(s[BB].op.axis[2], factor=bx * v) tz, tx = s[BB].split(xi, factor=(WX // TX) * v) tx, vec = s[BB].split(tx, factor=v) fused = s[BB].fuse(s[BB].op.axis[1], xo) _, ty = s[BB].split(fused, factor=by) s[BB].bind(ty, te.thread_axis("threadIdx.y")) s[BB].bind(tz, te.thread_axis("threadIdx.z")) s[BB].bind(tx, te.thread_axis("threadIdx.x")) s[BB].vectorize(vec) s[AL].compute_at(s[CL], kl) s[BL].compute_at(s[CL], kl) s[CL].pragma(ko, "tensor_core") func = tvm.build(s, [A, B, C], "cuda") dev = tvm.cuda(0) a_np = np.random.uniform(size=(batch, n, l)).astype(A.dtype) b_np = np.random.uniform(size=(batch, l, m)).astype(B.dtype) c_np = np.zeros((batch, n, m), dtype=np.float32) a = tvm.nd.array(a_np, dev) b = tvm.nd.array(b_np, dev) c = tvm.nd.array(np.zeros((batch, n, m), dtype=C.dtype), dev) func(a, b, c) evaluator = func.time_evaluator(func.entry_name, dev, number=3) print( "batch gemm m=%d n=%d k=%d batch=%d: %f ms" % (m, n, l, batch, evaluator(a, b, c).mean * 1e3) ) for bs in range(batch): c_np[bs, :, :] = np.dot(a_np[bs, :, :], b_np[bs, :, :]) np.testing.assert_allclose(c_np, c.numpy(), rtol=1e-3) @tvm.testing.requires_tensorcore def test_tensor_core_matmul(): tensor_core_matmul(16) # test with warp_tile 16x16x16 tensor_core_matmul(8) # test with warp_tile 8x32x16 tensor_core_matmul(32) # test with warp_tile 32x8x16 @tvm.testing.requires_tensorcore def test_tensor_core_batch_matmul(): tensor_core_batch_matmul() if __name__ == "__main__": test_tensor_core_matmul() test_tensor_core_batch_matmul()

33.827586

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null

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null

0

5

55d77b5fb76e3e87590685d28bdc50048e72e3f4

51

py

Python

ffai/util/__init__.py

tysen2k/ffai

2fa1fd45a8877986fdb21e3fea5e01cbf819d3ec

[ "Apache-2.0" ]

null

ffai/util/__init__.py

tysen2k/ffai

2fa1fd45a8877986fdb21e3fea5e01cbf819d3ec

[ "Apache-2.0" ]

null

ffai/util/__init__.py

tysen2k/ffai

2fa1fd45a8877986fdb21e3fea5e01cbf819d3ec

[ "Apache-2.0" ]

null

from .bothelper import * from .pathfinding import *

25.5

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1

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1

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5

55dc1a216e6032ace7fd5fac7c90cc1bd76dbdd1

133

py

Python

bender/data_importer/interface.py

otovo/bender

b64f0656658287b932ce44d52e6035682652fe33

[ "Apache-2.0" ]

2

2021-12-17T15:45:40.000Z

2021-12-18T14:15:43.000Z

bender/data_importer/interface.py

otovo/bender

b64f0656658287b932ce44d52e6035682652fe33

[ "Apache-2.0" ]

2

2022-03-30T14:31:12.000Z

2022-03-31T14:25:25.000Z

bender/data_importer/interface.py

otovo/bender

b64f0656658287b932ce44d52e6035682652fe33

[ "Apache-2.0" ]

1

2021-12-19T17:16:38.000Z

from pandas import DataFrame class DataImporter: async def import_data(self) -> DataFrame: raise NotImplementedError()

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1

0

1

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5

3603af6df185d5a82a98357301692e826d1bd54b

11,630

py

Python

akshare/index/index_investing.py

rayshifu/akshare

4f34f45edf242e78320a86b29347868e4d8d5933

[ "MIT" ]

null

akshare/index/index_investing.py

rayshifu/akshare

4f34f45edf242e78320a86b29347868e4d8d5933

[ "MIT" ]

null

akshare/index/index_investing.py

rayshifu/akshare

4f34f45edf242e78320a86b29347868e4d8d5933

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding:utf-8 -*- """ Date: 2022/3/18 17:03 Desc: 英为财情-股票指数-全球股指与期货指数数据接口 https://cn.investing.com/indices/volatility-s-p-500-historical-data """ import re import pandas as pd from bs4 import BeautifulSoup from akshare.index.cons import short_headers, long_headers from akshare.utils.ak_session import session def _get_global_index_country_name_url() -> dict: """ 全球指数-各国的全球指数数据 https://cn.investing.com/indices/global-indices?majorIndices=on&primarySectors=on&bonds=on&additionalIndices=on&otherIndices=on&c_id=37 :return: 国家和代码 :rtype: dict """ url = "https://cn.investing.com/indices/global-indices" params = { "majorIndices": "on", "primarySectors": "on", "bonds": "on", "additionalIndices": "on", "otherIndices": "on", } r = session.get(url, params=params, headers=short_headers) data_text = r.text soup = BeautifulSoup(data_text, "lxml") name_url_option_list = soup.find_all("option")[1:] url_list = [ item["value"] for item in name_url_option_list if "c_id" in item["value"] ] url_list_code = [ item["value"].split("?")[1].split("=")[1] for item in name_url_option_list if "c_id" in item["value"] ] name_list = [item.get_text() for item in name_url_option_list][ : len(url_list) ] _temp_df = pd.DataFrame([name_list, url_list_code]).T name_code_list = dict(zip(_temp_df.iloc[:, 0], _temp_df.iloc[:, 1])) return name_code_list def _get_global_country_name_url() -> dict: """ 可获得指数数据国家对应的 URL :return: URL :rtype: dict """ url = "https://cn.investing.com/indices/" res = session.post(url, headers=short_headers) soup = BeautifulSoup(res.text, "lxml") name_url_option_list = soup.find( "select", attrs={"name": "country"} ).find_all("option")[ 1: ] # 去掉-所有国家及地区 url_list = [item["value"] for item in name_url_option_list] name_list = [item.get_text() for item in name_url_option_list] name_code_map_dict = {} name_code_map_dict.update(zip(name_list, url_list)) return name_code_map_dict def index_investing_global_country_name_url(country: str = "中国") -> dict: """ 参考网页: https://cn.investing.com/indices/ 获取选择国家对应的: 主要指数, 主要行业, 附加指数, 其他指数 :param country: str 中文国家名称, 对应 get_global_country_name_url 函数返回的国家名称 :return: dict """ pd.set_option("mode.chained_assignment", None) name_url_dict = _get_global_country_name_url() name_code_dict = _get_global_index_country_name_url() url = f"https://cn.investing.com{name_url_dict[country]}?&majorIndices=on&primarySectors=on&additionalIndices=on&otherIndices=on" res = session.post(url, headers=short_headers) soup = BeautifulSoup(res.text, "lxml") url_list = [ item.find("a")["href"] for item in soup.find_all(attrs={"class": "plusIconTd"}) ] name_list = [ item.find("a").get_text() for item in soup.find_all(attrs={"class": "plusIconTd"}) ] name_code_map_dict = {} name_code_map_dict.update(zip(name_list, url_list)) url = "https://cn.investing.com/indices/global-indices" params = { "majorIndices": "on", "primarySectors": "on", "bonds": "on", "additionalIndices": "on", "otherIndices": "on", "c_id": name_code_dict[country], } r = session.get(url, params=params, headers=short_headers) data_text = r.text soup = BeautifulSoup(data_text, "lxml") soup_list = soup.find("table", attrs={"id": "cr_12"}).find_all("a") global_index_url = [item["href"] for item in soup_list] global_index_name = [item["title"] for item in soup_list] name_code_map_dict.update(zip(global_index_name, global_index_url)) return name_code_map_dict def index_investing_global( country: str = "美国", index_name: str = "纳斯达克100", period: str = "每日", start_date: str = "20100101", end_date: str = "20211031", ) -> pd.DataFrame: """ 具体国家的具体指数的从 start_date 到 end_date 期间的数据 :param country: 对应函数中的国家名称 :type country: str :param index_name: 对应函数中的指数名称 :type index_name: str :param period: choice of {"每日", "每周", "每月"} :type period: str :param start_date: '2000-01-01', 注意格式 :type start_date: str :param end_date: '2019-10-17', 注意格式 :type end_date: str :return: 指定参数的数据 :rtype: pandas.DataFrame """ start_date = "/".join([start_date[:4], start_date[4:6], start_date[6:]]) end_date = "/".join([end_date[:4], end_date[4:6], end_date[6:]]) period_map = {"每日": "Daily", "每周": "Weekly", "每月": "Monthly"} name_code_dict = index_investing_global_country_name_url(country) temp_url = f"https://cn.investing.com/{name_code_dict[index_name]}-historical-data" res = session.post(temp_url, headers=short_headers) soup = BeautifulSoup(res.text, "lxml") title = soup.find("h2", attrs={"class": "float_lang_base_1"}).get_text() res = session.post(temp_url, headers=short_headers) soup = BeautifulSoup(res.text, "lxml") data = soup.find_all(text=re.compile("window.histDataExcessInfo"))[ 0 ].strip() para_data = re.findall(r"\d+", data) payload = { "curr_id": para_data[0], "smlID": para_data[1], "header": title, "st_date": start_date, "end_date": end_date, "interval_sec": period_map[period], "sort_col": "date", "sort_ord": "DESC", "action": "historical_data", } url = "https://cn.investing.com/instruments/HistoricalDataAjax" res = session.post(url, data=payload, headers=long_headers) df_data = pd.read_html(res.text)[0] if period == "每月": df_data.index = pd.to_datetime(df_data["日期"], format="%Y年%m月") else: df_data.index = pd.to_datetime(df_data["日期"], format="%Y年%m月%d日") if any(df_data["交易量"].astype(str).str.contains("-")): df_data["交易量"][df_data["交易量"].str.contains("-")] = df_data["交易量"][ df_data["交易量"].str.contains("-") ].replace("-", 0) if any(df_data["交易量"].astype(str).str.contains("B")): df_data["交易量"][df_data["交易量"].str.contains("B").fillna(False)] = ( df_data["交易量"][df_data["交易量"].str.contains("B").fillna(False)] .str.replace("B", "") .str.replace(",", "") .astype(float) * 1000000000 ) if any(df_data["交易量"].astype(str).str.contains("M")): df_data["交易量"][df_data["交易量"].str.contains("M").fillna(False)] = ( df_data["交易量"][df_data["交易量"].str.contains("M").fillna(False)] .str.replace("M", "") .str.replace(",", "") .astype(float) * 1000000 ) if any(df_data["交易量"].astype(str).str.contains("K")): df_data["交易量"][df_data["交易量"].str.contains("K").fillna(False)] = ( df_data["交易量"][df_data["交易量"].str.contains("K").fillna(False)] .str.replace("K", "") .str.replace(",", "") .astype(float) * 1000 ) df_data["交易量"] = df_data["交易量"].astype(float) df_data = df_data[["收盘", "开盘", "高", "低", "交易量"]] df_data = df_data.astype(float) df_data.sort_index(inplace=True) df_data.reset_index(inplace=True) df_data["日期"] = pd.to_datetime(df_data["日期"]).dt.date return df_data def index_investing_global_from_url( url: str = "https://www.investing.com/indices/ftse-epra-nareit-eurozone", period: str = "每日", start_date: str = "20000101", end_date: str = "20210909", ) -> pd.DataFrame: """ 获得具体指数的从 start_date 到 end_date 期间的数据 https://www.investing.com/indices/ftse-epra-nareit-eurozone :param url: 具体数据链接 :type url: str :param period: choice of {"每日", "每周", "每月"} :type period: str :param start_date: '2000-01-01', 注意格式 :type start_date: str :param end_date: '2019-10-17', 注意格式 :type end_date: str :return: 指定参数的数据 :rtype: pandas.DataFrame """ start_date = "/".join([start_date[:4], start_date[4:6], start_date[6:]]) end_date = "/".join([end_date[:4], end_date[4:6], end_date[6:]]) period_map = {"每日": "Daily", "每周": "Weekly", "每月": "Monthly"} url_name = url.split("/")[-1] temp_url = f"https://cn.investing.com/indices/{url_name}-historical-data" res = session.post(temp_url, headers=short_headers) soup = BeautifulSoup(res.text, "lxml") title = soup.find("h2", attrs={"class": "float_lang_base_1"}).get_text() res = session.post(temp_url, headers=short_headers) soup = BeautifulSoup(res.text, "lxml") data = soup.find_all(text=re.compile("window.histDataExcessInfo"))[ 0 ].strip() para_data = re.findall(r"\d+", data) payload = { "curr_id": para_data[0], "smlID": para_data[1], "header": title, "st_date": start_date, "end_date": end_date, "interval_sec": period_map[period], "sort_col": "date", "sort_ord": "DESC", "action": "historical_data", } url = "https://cn.investing.com/instruments/HistoricalDataAjax" res = session.post(url, data=payload, headers=long_headers) df_data = pd.read_html(res.text)[0] if period == "每月": df_data.index = pd.to_datetime(df_data["日期"], format="%Y年%m月") else: df_data.index = pd.to_datetime(df_data["日期"], format="%Y年%m月%d日") if any(df_data["交易量"].astype(str).str.contains("-")): df_data["交易量"][df_data["交易量"].str.contains("-")] = df_data["交易量"][ df_data["交易量"].str.contains("-") ].replace("-", 0) if any(df_data["交易量"].astype(str).str.contains("B")): df_data["交易量"][df_data["交易量"].str.contains("B").fillna(False)] = ( df_data["交易量"][df_data["交易量"].str.contains("B").fillna(False)] .str.replace("B", "") .str.replace(",", "") .astype(float) * 1000000000 ) if any(df_data["交易量"].astype(str).str.contains("M")): df_data["交易量"][df_data["交易量"].str.contains("M").fillna(False)] = ( df_data["交易量"][df_data["交易量"].str.contains("M").fillna(False)] .str.replace("M", "") .str.replace(",", "") .astype(float) * 1000000 ) if any(df_data["交易量"].astype(str).str.contains("K")): df_data["交易量"][df_data["交易量"].str.contains("K").fillna(False)] = ( df_data["交易量"][df_data["交易量"].str.contains("K").fillna(False)] .str.replace("K", "") .str.replace(",", "") .astype(float) * 1000 ) df_data["交易量"] = df_data["交易量"].astype(float) df_data = df_data[["收盘", "开盘", "高", "低", "交易量"]] df_data = df_data.astype(float) df_data.sort_index(inplace=True) df_data.reset_index(inplace=True) df_data["日期"] = pd.to_datetime(df_data["日期"]).dt.date return df_data if __name__ == "__main__": index_investing_global_from_url_df = index_investing_global_from_url( url="https://www.investing.com/indices/ftse-epra-nareit-hong-kong", period="每日", start_date="19900101", end_date="20210909", ) print(index_investing_global_from_url_df) index_investing_global_country_name_url_dict = ( index_investing_global_country_name_url("美国") ) index_investing_global_df = index_investing_global( country="中国", index_name="富时中国A50指数", period="每日", start_date="20010101", end_date="20110316", ) print(index_investing_global_df)

36.23053

139

0.610146

1,567

11,630

4.287811

0.145501

0.064295

0.058937

0.029469

0.813514

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0.743712

0.71082

0.690281

0.66111

0

0.021911

0.215133

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320

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null

0

1

0

1

0

null

0

5

361f2399caa5f13f5a2092e1236b6cbe3fd8986e

3,280

py

Python

tests/integration/test_over.py

goodwanghan/dask-sql

990d647d3788aa200c28c01fb1429b176dfbc617

[ "MIT" ]

null

tests/integration/test_over.py

goodwanghan/dask-sql

990d647d3788aa200c28c01fb1429b176dfbc617

[ "MIT" ]

null

tests/integration/test_over.py

goodwanghan/dask-sql

990d647d3788aa200c28c01fb1429b176dfbc617

[ "MIT" ]

1

2021-01-24T05:52:50.000Z

import numpy as np import pandas as pd from pandas.testing import assert_frame_equal def test_over_with_sorting(c, user_table_1): df = c.sql( """ SELECT user_id, ROW_NUMBER() OVER (ORDER BY user_id, b) AS R FROM user_table_1 """ ) df = df.compute() expected_df = pd.DataFrame({"user_id": user_table_1.user_id, "R": [3, 1, 2, 4]}) expected_df["R"] = expected_df["R"].astype("Int64") assert_frame_equal(df, expected_df) def test_over_with_partitioning(c, user_table_2): df = c.sql( """ SELECT user_id, ROW_NUMBER() OVER (PARTITION BY c) AS R FROM user_table_2 """ ) df = df.compute() expected_df = pd.DataFrame({"user_id": user_table_2.user_id, "R": [1, 1, 1, 1]}) expected_df["R"] = expected_df["R"].astype("Int64") assert_frame_equal(df, expected_df) def test_over_with_grouping_and_sort(c, user_table_1): df = c.sql( """ SELECT user_id, ROW_NUMBER() OVER (PARTITION BY user_id ORDER BY b) AS R FROM user_table_1 """ ) df = df.compute() expected_df = pd.DataFrame({"user_id": user_table_1.user_id, "R": [2, 1, 1, 1]}) expected_df["R"] = expected_df["R"].astype("Int64") assert_frame_equal(df, expected_df) def test_over_with_different(c, user_table_1): df = c.sql( """ SELECT user_id, ROW_NUMBER() OVER (PARTITION BY user_id ORDER BY b) AS R1, ROW_NUMBER() OVER (ORDER BY user_id, b) AS R2 FROM user_table_1 """ ) df = df.compute() expected_df = pd.DataFrame( {"user_id": user_table_1.user_id, "R1": [2, 1, 1, 1], "R2": [3, 1, 2, 4],} ) for col in ["R1", "R2"]: expected_df[col] = expected_df[col].astype("Int64") assert_frame_equal(df, expected_df) def test_over_calls(c): df = c.sql( """ SELECT ROW_NUMBER() OVER (PARTITION BY user_id ORDER BY b) AS O1, FIRST_VALUE(user_id*10 - b) OVER (PARTITION BY user_id ORDER BY b) AS O2, SINGLE_VALUE(user_id*10 - b) OVER (PARTITION BY user_id ORDER BY b) AS O3, LAST_VALUE(user_id*10 - b) OVER (PARTITION BY user_id ORDER BY b) AS O4, SUM(user_id) OVER (PARTITION BY user_id ORDER BY b) AS O5, AVG(user_id) OVER (PARTITION BY user_id ORDER BY b) AS O6, COUNT(*) OVER (PARTITION BY user_id ORDER BY b) AS O7, COUNT(b) OVER (PARTITION BY user_id ORDER BY b) AS O7b, MAX(b) OVER (PARTITION BY user_id ORDER BY b) AS O8, MIN(b) OVER (PARTITION BY user_id ORDER BY b) AS O9 FROM user_table_1 """ ) df = df.compute() expected_df = pd.DataFrame( { "O1": [2, 1, 1, 1], "O2": [19, 7, 19, 27], "O3": [19, 7, 19, 27], "O4": [17, 7, 17, 27], "O5": [4, 1, 4, 3], "O6": [2, 1, 2, 3], "O7": [2, 1, 2, 1], "O7b": [2, 1, 2, 1], "O8": [3, 3, 3, 3], "O9": [1, 3, 1, 3], } ) for col in expected_df.columns: if col in ["06"]: continue expected_df[col] = expected_df[col].astype("Int64") expected_df["O6"] = expected_df["O6"].astype("float64") assert_frame_equal(df, expected_df)

29.026549

84

0.567073

523

3,280

3.332696

0.151052

0.106713

0.064257

0.130809

0.765921

0.756741

0.740677

0.704532

0.662651

0

0.05601

0.292378

3,280

112

85

29.285714

0.694959

0

0.37931

0

0.051741

0

0.103448

1

0.086207

false

0

0.051724

0

0.137931

0

null

0

1

0

null

0

5

361fdd8c5a5a90cf974a26da3b2163432daed5e1

626

py

Python

pycta2045/models/model.py

mohamm-alsaid/CTA2045-DER

e66d0d468dda42f8b3640b9f81bad6b6193002d1

[ "MIT" ]

1

2021-10-04T17:32:53.000Z

pycta2045/models/model.py

mohamm-alsaid/CTA2045-DER

e66d0d468dda42f8b3640b9f81bad6b6193002d1

[ "MIT" ]

null

pycta2045/models/model.py

mohamm-alsaid/CTA2045-DER

e66d0d468dda42f8b3640b9f81bad6b6193002d1

[ "MIT" ]

null

import abc class CTA2045Model(abc.ABC): @abc.abstractmethod def loadup(self,payload:dict)->dict: pass @abc.abstractmethod def operating_status(self,payload:dict)->dict: pass @abc.abstractmethod def shed(self,payload:dict)->dict: pass @abc.abstractmethod def endshed(self,payload:dict)->dict: pass @abc.abstractmethod def commodity_read(self,payload:dict)->dict: pass @abc.abstractmethod def critical_peak_event(self,payload:dict)->dict: pass @abc.abstractmethod def grid_emergency(self,payload:dict)->dict: pass

24.076923

53

0.659744

74

626

5.513514

0.297297

0.291667

0.343137

0.32598

0.688725

0.632353

0

0.008333

0.233227

626

25

54

25.04

0.841667

0

0.608696

0

1

0.304348

false

0.304348

0.043478

0

0.391304

0

null

1

0

null

0

1

0

1

0

5

3626069cf41d4452bfaebcb371becf98853c94c9

8,913

py

Python

py_dp/dispersion/mapping_input.py

amirdel/dispersion-continua

2e1f7a3fbfcdc0b27c546cb0ae51a628a926ad60

[ "0BSD" ]

null

py_dp/dispersion/mapping_input.py

amirdel/dispersion-continua

2e1f7a3fbfcdc0b27c546cb0ae51a628a926ad60

[ "0BSD" ]

null

py_dp/dispersion/mapping_input.py

amirdel/dispersion-continua

2e1f7a3fbfcdc0b27c546cb0ae51a628a926ad60

[ "0BSD" ]

null

# Copyright 2017 Amir Hossein Delgoshaie, amirdel@stanford.edu # # Permission to use, copy, modify, and/or distribute this software for any purpose with or without fee # is hereby granted, provided that the above copyright notice and this permission notice appear in all # copies. # # THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH REGARD TO THIS SOFTWARE # INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE # FOR ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM # LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, # ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE. from py_dp.dispersion.binning import abs_vel_log_bins_low_high, make_theta_bins_linear, \ make_input_for_binning_v_theta_freq, binning_input_v_theta_freq_y, make_y_bins_linear import numpy as np import os as os import itertools as itertools class TemporalMapInput(object): def __init__(self, input_folder, n_binning_realz, n_absv_class, n_theta_class, time_step, n_slow_class, max_allowed, verbose=True, print_every=40, average_available=False): """ Generate the input for the mapping object for a temporal Markov model, it contains sample arrays for velocity, angle and frequency, and the bins for the velocity and angle processes :param input_folder: :param n_binning_realz: :param n_absv_class: :param n_theta_class: :param time_step: :param n_slow_class: :param max_allowed: """ self.time_step = time_step self.input_folder = input_folder self.n_binning_realz = n_binning_realz self.n_absv_class = n_absv_class self.n_theta_class = n_theta_class self.n_slow_class = n_slow_class self.max_allowed = max_allowed #making sample data for creating bins self.v_array, self.theta_array, self.freq_array, self.pointer_list, self.initial_v, self.initial_f, self.initial_theta = \ self.binning_data(average_available, input_folder, n_binning_realz, time_step, verbose, print_every) self.v_log_edges = abs_vel_log_bins_low_high(self.v_array, n_absv_class, n_slow_class, max_allowed) self.theta_edges = make_theta_bins_linear(n_theta_class) def binning_data(self, average_available, input_folder, n_binning_realz, time_step, verbose, print_every): if average_available: init_data = np.load(os.path.join(input_folder, 'initial_arrays.npz')) initial_v, initial_theta, initial_f = init_data['v'], init_data['theta'],init_data['f'] big_v, big_theta, big_f, big_ptr = [[] for i in range(4)] realz_used = 0 for file_idx in range(n_binning_realz): # load a polar file data = np.load(os.path.join(input_folder, 'avg_polar_'+str(file_idx)+'.npz')) file_idx += 1 realz_used += data['n_realz'] big_v.append(data['V']) big_theta.append(data['Theta']) big_f.append(data['F']) big_ptr.append(data['ptr']) #flatten the nested lists big_v, big_theta, big_f, big_ptr = [flatten(ll) for ll in [big_v, big_theta, big_f, big_ptr]] return big_v, big_theta, big_f, big_ptr, initial_v, initial_f, initial_theta else: return make_input_for_binning_v_theta_freq(input_folder, n_binning_realz, time_step, verbose=verbose, print_every=print_every) def flatten(ll): chain = itertools.chain(*ll) return np.array(list(chain), dtype=np.float) class SpatialMapInput(object): def __init__(self, input_folder, n_binning_realz, n_absv_class, n_slow_class, max_allowed, init_percentile=None): self.input_folder = input_folder self.n_binning_realz = n_binning_realz self.n_absv_class = n_absv_class self.n_slow_class = n_slow_class self.max_allowed = max_allowed #making sample data for creating bins self.v_array, self.theta_array, self.pointer_list, self.initial_v, self.initial_theta = \ self.binning_data(input_folder, n_binning_realz) self.v_log_edges = abs_vel_log_bins_low_high(self.v_array, n_absv_class, n_slow_class, max_allowed, init_percentile) self.theta_edges = make_theta_bins_linear(4) def binning_data(self, input_folder, n_binning_realz): init_data = np.load(os.path.join(input_folder, 'initial_arrays.npz')) initial_v, initial_theta = init_data['v'], init_data['theta'] big_v, big_theta, big_ptr = [[] for i in range(3)] realz_used = 0 for file_idx in range(n_binning_realz): # load a polar file data = np.load(os.path.join(input_folder, 'polar_'+str(file_idx)+'.npz')) file_idx += 1 realz_used += data['n_realz'] big_v.append(data['V']) big_theta.append(data['Theta']) big_ptr.append(data['ptr']) #flatten the nested lists big_v, big_theta, big_ptr = [flatten(ll) for ll in [big_v, big_theta, big_ptr]] return big_v, big_theta, big_ptr, initial_v, initial_theta class TemporalMapInputWithY(object): def __init__(self, input_folder, n_binning_realz, n_absv_class, n_theta_class, n_y_class, time_step, n_slow_class, max_allowed, verbose=True, print_every=40, average_available=False): """ Generate the input for the mapping object for a temporal Markov model, it contains sample arrays for velocity, angle and frequency, and the bins for the velocity and angle processes :param input_folder: :param n_binning_realz: :param n_absv_class: :param n_theta_class: :param time_step: :param n_slow_class: :param max_allowed: """ self.time_step = time_step self.input_folder = input_folder self.n_binning_realz = n_binning_realz self.n_absv_class = n_absv_class self.n_theta_class = n_theta_class self.n_slow_class = n_slow_class self.max_allowed = max_allowed # making sample data for creating bins self.v_array, self.theta_array, self.big_y_array, self.freq_array, self.v_inst_array, self.pointer_list,\ self.initial_v, self.initial_f, self.initial_theta , self.initial_v_inst = \ self.binning_data(average_available, input_folder, n_binning_realz, time_step, verbose, print_every) # generate edges from the data self.v_log_edges = abs_vel_log_bins_low_high(self.v_array, n_absv_class, n_slow_class, max_allowed) self.theta_edges = make_theta_bins_linear(n_theta_class) self.y_edges = make_y_bins_linear(self.big_y_array, n_y_class) print 'making bins for instantaneous velocity...' self.v_inst_log_edges = abs_vel_log_bins_low_high(self.v_inst_array, n_absv_class, n_slow_class, max_allowed) def binning_data(self, average_available, input_folder, n_binning_realz, time_step, verbose, print_every): if average_available: init_data = np.load(os.path.join(input_folder, 'initial_arrays.npz')) initial_v, initial_theta, initial_f, initial_v_inst = init_data['v'], init_data['theta'],\ init_data['f'], init_data['v_inst'] big_v, big_theta, big_f, big_ptr, big_y, big_v_inst = [[] for _ in range(6)] realz_used = 0 for file_idx in range(n_binning_realz): # load a polar file data = np.load(os.path.join(input_folder, 'avg_polar_'+str(file_idx)+'.npz')) realz_used += data['n_realz'] big_v.append(data['V']) big_theta.append(data['Theta']) big_f.append(data['F']) big_ptr.append(data['ptr']) big_v_inst.extend(data['V_inst']) cartesian = np.load(os.path.join(input_folder, 'avg_cartesian_'+str(file_idx)+'.npz')) big_y.append(cartesian['Y']) #flatten the nested lists big_v, big_theta, big_f, big_ptr, big_y = [flatten(ll) for ll in [big_v, big_theta, big_f, big_ptr, big_y]] big_v_inst = np.array(big_v_inst) return big_v, big_theta, big_y, big_f, big_v_inst, big_ptr, initial_v,\ initial_f, initial_theta, initial_v_inst else: raise 'v_inst not implemented without average data available' # return binning_input_v_theta_freq_y(input_folder, n_binning_realz, time_step, verbose=verbose)

55.018519

138

0.66835

1,301

8,913

4.222137

0.139892

0.052066

0.026215

0.76643

0.754597

0.718187

0.70162

0.6714

0.630803

0

0.002536

0.24784

8,913

162

139

55.018519

0.816826

0.125098

0

0.550459

0

0.041331

0

null

0

0.036697

null

0.073395

0

null

0

1

0

1

0

null

0

1

0

5

362dcac7488926a4c2596e31ed7b67c0ad49130e

353

py

Python

fastai/metrics.py

Engid/faitest

0080d4f526d01395870416745d9a3f8d5ac33551

[ "Apache-2.0" ]

null

fastai/metrics.py

Engid/faitest

0080d4f526d01395870416745d9a3f8d5ac33551

[ "Apache-2.0" ]

null

fastai/metrics.py

Engid/faitest

0080d4f526d01395870416745d9a3f8d5ac33551

[ "Apache-2.0" ]

null

from .imports import * from .torch_imports import * def accuracy(preds, targs): preds = torch.max(preds, dim=1)[1] return (preds==targs).float().mean() def accuracy_thresh(thresh): return lambda preds,targs: accuracy_multi(preds, targs, thresh) def accuracy_multi(preds, targs, thresh): return ((preds>thresh)==targs).float().mean()

25.214286

67

0.705382

48

353

5.104167

0.354167

0.204082

0.114286

0.187755

0.236735

0

0.006623

0.144476

353

13

68

27.153846

0.804636

0

1

0.333333

false

0

0.222222

0.888889

0

null

1

0

1

0

null

0

1

0

1

0

5

3695b59018fd811fc5e322ded1f1e5f445f2afae

388

py

Python

gpflow/inducing_variables/__init__.py

elvijs/GPflow

056e59f2c5aa2b5021de9b7b91ce1cee2ea0bb92

[ "Apache-2.0" ]

null

gpflow/inducing_variables/__init__.py

elvijs/GPflow

056e59f2c5aa2b5021de9b7b91ce1cee2ea0bb92

[ "Apache-2.0" ]

null

gpflow/inducing_variables/__init__.py

elvijs/GPflow

056e59f2c5aa2b5021de9b7b91ce1cee2ea0bb92

[ "Apache-2.0" ]

null

from .inducing_variables import InducingVariables, InducingPoints, Multiscale from .inducing_patch import InducingPatches from .mo_inducing_variables import (MultioutputInducingVariables, FallbackSharedIndependentInducingVariables, FallbackSeparateIndependentInducingVariables, SharedIndependentInducingVariables, SeparateIndependentInducingVariables)

77.6

155

0.832474

22

388

14.5

0.681818

0.075235

0.144201

0

0.139175

388

4

156

97

0.95509

0

1

0

true

0

0.75

0

0.75

0

1

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1

null

0

1

0

null

0

1

0

1

0

5

3697c42695447884c159ec977e7cc70fc4281cec

728

py

Python

15/duelingGenerators.py

jcsesznegi/advent-of-code-2017

9710e184e092b82aa798076b9ce3915c6e42758d

[ "MIT" ]

1

2020-04-12T17:54:52.000Z

15/duelingGenerators.py

jcsesznegi/advent-of-code-2017

9710e184e092b82aa798076b9ce3915c6e42758d

[ "MIT" ]

null

15/duelingGenerators.py

jcsesznegi/advent-of-code-2017

9710e184e092b82aa798076b9ce3915c6e42758d

[ "MIT" ]

null

def generatorA(value, stop): i = 0 while i < stop: value = (value * 16807) % 2147483647 yield value i += 1 def generatorB(value, stop): i = 0 while i < stop: value = (value * 48271) % 2147483647 yield value i += 1 def generatorAPart2(value, stop): i = 0 while i < stop: value = (value * 16807) % 2147483647 while value % 4 != 0: value = (value * 16807) % 2147483647 yield value i += 1 def generatorBPart2(value, stop): i = 0 while i < stop: value = (value * 48271) % 2147483647 while value % 8 != 0: value = (value * 48271) % 2147483647 yield value i += 1

22.060606

48

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84

728

4.380952

0.202381

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0.782609

0.649457

0.5

0

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0.392857

728

32

49

22.75

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0

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false

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0

null

0

1

0

1

0

1

0

null

0

5

36a3608ab4d69cfcd568c0a613ce6e8f41e0cc31

156

py

Python

backend/server/core/views.py

JenardKin/django-react-boilerplate

dde2c817a502e1bed4c4c0618b10b3a381eff6cf

[ "MIT" ]

null

backend/server/core/views.py

JenardKin/django-react-boilerplate

dde2c817a502e1bed4c4c0618b10b3a381eff6cf

[ "MIT" ]

null

backend/server/core/views.py

JenardKin/django-react-boilerplate

dde2c817a502e1bed4c4c0618b10b3a381eff6cf

[ "MIT" ]

null

from django.shortcuts import render def index( request ): return render( request, 'core/index.html', { 'msg': 'You have reached the django apis.' } )

26

95

0.692308

21

156

5.142857

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0

0.179487

156

5

96

31.2

0.84375

0

0.326923

0

1

0.333333

false

0

0.333333

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

36d9ea5c81dd5ff8eaa5f964e9d547a047b4f26a

137

py

Python

basicsr/version.py

BCV-Uniandes/RSR

dad60eedd3560f2655e3d1ed444153ed2616af2e

[ "zlib-acknowledgement" ]

14

2021-08-28T04:15:37.000Z

2021-12-28T17:00:33.000Z

basicsr/version.py

BCV-Uniandes/RSR

dad60eedd3560f2655e3d1ed444153ed2616af2e

[ "zlib-acknowledgement" ]

2

2021-09-26T01:27:06.000Z

2021-12-24T19:06:09.000Z

basicsr/version.py

BCV-Uniandes/RSR

dad60eedd3560f2655e3d1ed444153ed2616af2e

[ "zlib-acknowledgement" ]

1

2021-10-18T15:48:56.000Z

# GENERATED VERSION FILE # TIME: Mon Oct 11 04:02:23 2021 __version__ = '1.2.0+f83fd55' short_version = '1.2.0' version_info = (1, 2, 0)

22.833333

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0.686131

26

137

3.384615

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0

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137

5

33

27.4

0.547826

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0

1

0

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1

0

null

0

1

0

1

0

1

0

1

0

null

0

5

7fcbbe0feafa2e1f8ccf912176165f8f65724eb8

63

py

Python

yammled/admin.py

Guest007/smyted

5b425e8456f97b1051e29b95d9e5c0528d1f01ca

[ "MIT" ]

null

yammled/admin.py

Guest007/smyted

5b425e8456f97b1051e29b95d9e5c0528d1f01ca

[ "MIT" ]

null

yammled/admin.py

Guest007/smyted

5b425e8456f97b1051e29b95d9e5c0528d1f01ca

[ "MIT" ]

null

from django.contrib import admin from yammled.models import *

15.75

32

0.809524

9

63

5.666667

0.777778

0

0.142857

63

3

33

21

0.944444

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

3d02a3ee892ea2a72150136619d3988df9fb46ac

305

py

Python

intervul/datFiles/general_data/geometry/_definitions.py

mpacheco62/intervul

c0eaadf54580de4b3c2dea46e8f196eab52280e1

[ "MIT" ]

1

2021-04-13T13:28:16.000Z

intervul/datFiles/general_data/geometry/_definitions.py

andresutrera/intervul

75c5f824067549b3ddcbe9fe667964fb85a05ce3

[ "MIT" ]

null

intervul/datFiles/general_data/geometry/_definitions.py

andresutrera/intervul

75c5f824067549b3ddcbe9fe667964fb85a05ce3

[ "MIT" ]

1

2021-05-06T20:29:42.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- from .._definitions import _General_data class _Geometry(_General_data): pass class Interpolate(_Geometry): def __str__(self): return "INTERPOLATE" class Noninterpolate(_Geometry): def __str__(self): return "NONINTERPOLATE"

16.052632

40

0.685246

33

305

5.848485

0.636364

0.11399

0.145078

0.186529

0.248705

0

0.004098

0.2

305

18

41

16.944444

0.786885

0.137705

0

0.222222

0

0.096154

0

1

0.222222

false

0.111111

0.222222

0.888889

0

null

0

1

0

null

0

1

0

1

0

1

0

5

3d08d62d31d70f826588b330150f53d1ee96090d

315

py

Python

Mycoffee/products/views.py

AbderrhmanAbdellatif/MyCoffee

01563ccd1881caea605391fb813b7d0f2f59be02

[ "MIT" ]

null

Mycoffee/products/views.py

AbderrhmanAbdellatif/MyCoffee

01563ccd1881caea605391fb813b7d0f2f59be02

[ "MIT" ]

null

Mycoffee/products/views.py

AbderrhmanAbdellatif/MyCoffee

01563ccd1881caea605391fb813b7d0f2f59be02

[ "MIT" ]

null

from django.http import request from django.shortcuts import render def products(request): return render(request,'Products\products.html') def product(request): return render(request,'Products\product.html') def search(request): return render(request,'Products\search.html') # Create your views here.

26.25

51

0.768254

41

315

5.902439

0.414634

0.161157

0.235537

0.322314

0.421488

0

0.12381

315

11

52

28.636364

0.876812

0.073016

0

0.217241

0.148276

0

1

0.375

false

0

0.25

0.375

1

0

null

0

1

0

null

0

1

0

1

0

5

3d168ac782d471cdafd30c5477a7c01e23b0b1af

58

py

Python

src/neptuneml_toolkit/modelzoo/encoder/__init__.py

riaz/neptuneml-toolkit

6c68ba6d02a3d52116e6e8ca23d5f755693ae3d8

[ "Apache-2.0" ]

7

2021-11-11T15:47:39.000Z

2022-03-31T03:44:40.000Z

src/neptuneml_toolkit/modelzoo/encoder/__init__.py

riaz/neptuneml-toolkit

6c68ba6d02a3d52116e6e8ca23d5f755693ae3d8

[ "Apache-2.0" ]

null

src/neptuneml_toolkit/modelzoo/encoder/__init__.py

riaz/neptuneml-toolkit

6c68ba6d02a3d52116e6e8ca23d5f755693ae3d8

[ "Apache-2.0" ]

2

2021-11-23T19:32:25.000Z

2022-02-24T18:42:42.000Z

from .han import * from .rgcn import * from .rgat import *

19.333333

19

0.706897

9

58

4.555556

0.555556

0.487805

0

0.189655

58

3

20

19.333333

0.87234

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

3d40709100e485f753e9bc6e733684b31f860cfe

42

py

Python

tox_add_factor/__init__.py

jayvdb/tox-add-factor

38742451c74a7655592d6930f8f365574cb13ee7

[ "MIT" ]

1

2020-12-17T11:14:00.000Z

tox_add_factor/__init__.py

jayvdb/tox-add-factor

38742451c74a7655592d6930f8f365574cb13ee7

[ "MIT" ]

3

2020-10-15T14:49:04.000Z

2020-10-20T07:49:25.000Z

tox_add_factor/__init__.py

jayvdb/tox-add-factor

38742451c74a7655592d6930f8f365574cb13ee7

[ "MIT" ]

null

"""Make it easy to add factors to tox."""

21

41

0.642857

8

42

3.375

0.875

0

0.190476

42

1

42

0.794118

0.833333

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

3d5e88049493a0d9b8269359be9d265bdc4ef730

89

py

Python

plugins/beebeeto/utils/http/__init__.py

aliluyala/PocHunter

ff2d7e745eabd81ffb77920fe00813b17fc432cf

[ "MIT" ]

95

2016-07-05T12:44:25.000Z

2022-01-24T09:16:44.000Z

plugins/beebeeto/utils/http/__init__.py

sigma-random/PocHunter

ff2d7e745eabd81ffb77920fe00813b17fc432cf

[ "MIT" ]

2

2016-10-24T09:35:24.000Z

2017-07-28T08:50:31.000Z

plugins/beebeeto/utils/http/__init__.py

sigma-random/PocHunter

ff2d7e745eabd81ffb77920fe00813b17fc432cf

[ "MIT" ]

39

2016-06-13T07:47:39.000Z

2020-11-26T00:53:48.000Z

from forgeheaders import ForgeHeaders, Win, IOS, Android, Linux, MacOS from http import *

44.5

70

0.797753

12

89

5.916667

0.75

0

0.134831

89

2

71

44.5

0.922078

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

e9fca05afcb0ee1c25603b2aa4b5c7229bdb9b95

49

py

Python

develop/custom_modules/__init__.py

mustard-seed/SparseNN_training

267a1fb5bed650e66ad5cf3d98069891bb307aec

[ "Apache-2.0" ]

null

develop/custom_modules/__init__.py

mustard-seed/SparseNN_training

267a1fb5bed650e66ad5cf3d98069891bb307aec

[ "Apache-2.0" ]

null

develop/custom_modules/__init__.py

mustard-seed/SparseNN_training

267a1fb5bed650e66ad5cf3d98069891bb307aec

[ "Apache-2.0" ]

null

#Author: James Liu <linqiao.liu@mail.utoronto.ca>

49

0.77551

8

49

4.75

0.875

0

0.061224

49

1

49

0.826087

0.979592

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

18048b0aa5d03f85d7540f7736807707b2e90851

195

py

Python

frontend/urls.py

yalld/webgl-test

0b4c821f7dbcedca6e80470eb8d67cfd4261795c

[ "MIT" ]

null

frontend/urls.py

yalld/webgl-test

0b4c821f7dbcedca6e80470eb8d67cfd4261795c

[ "MIT" ]

7

2021-03-30T14:15:18.000Z

2022-02-19T04:49:53.000Z

frontend/urls.py

yalld/webgl-test

0b4c821f7dbcedca6e80470eb8d67cfd4261795c

[ "MIT" ]

null

from django.urls import path from django.urls import re_path from frontend.views import index_view app_name = 'frontend' urlpatterns = [ re_path(r'^(?:.*)/?$', index_view, name='index'), ]

19.5

53

0.707692

28

195

4.75

0.5

0.150376

0.210526

0.300752

0

0.14359

195

9

54

21.666667

0.796407

0

0.117949

0

1

0

false

0

0.428571

0

0.428571

0

1

0

null

0

1

0

1

0

null

0

1

0

5

18084028814a8ffa15e92b101d8d2e46fda0c351

171

py

Python

src/config.py

juliangruendner/ketos_annotation

eb7f4b518132be60a08df2c47efc2c86565a32f7

[ "MIT" ]

null

src/config.py

juliangruendner/ketos_annotation

eb7f4b518132be60a08df2c47efc2c86565a32f7

[ "MIT" ]

null

src/config.py

juliangruendner/ketos_annotation

eb7f4b518132be60a08df2c47efc2c86565a32f7

[ "MIT" ]

null

import os POSTGRES_USER = str(os.getenv('POSTGRES_USER', '')) POSTGRES_PASSWORD = str(os.getenv('POSTGRES_PASSWORD', '')) POSTGRES_DB = str(os.getenv('POSTGRES_DB', ''))

28.5

59

0.719298

23

171

5.086957

0.347826

0.128205

0.282051

0.487179

0

0.087719

171

5

60

34.2

0.75

0

0.239766

0

1

0

false

0.25

0

0.25

0

1

0

null

0

1

0

1

0

null

0

1

0

5

18217cab25ca3cef00f09afa9b2a8a1fe4ae975a

214

py

Python

bridger/display/__init__.py

intellineers/django-bridger

ed097984a99df7da40a4d01bd00c56e3c6083056

[ "BSD-3-Clause" ]

2

2020-03-17T00:53:23.000Z

2020-07-16T07:00:33.000Z

bridger/display/__init__.py

intellineers/django-bridger

ed097984a99df7da40a4d01bd00c56e3c6083056

[ "BSD-3-Clause" ]

76

2019-12-05T01:15:57.000Z

2021-09-07T16:47:27.000Z

bridger/display/__init__.py

intellineers/django-bridger

ed097984a99df7da40a4d01bd00c56e3c6083056

[ "BSD-3-Clause" ]

1

2020-02-05T15:09:47.000Z

from .formatting import Condition, Formatting, FormattingRule from .instance_display import FieldSet, InstanceDisplay, Section, SectionList from .list_display import Calendar, Field, Legend, LegendItem, ListDisplay

71.333333

77

0.850467

23

214

7.826087

0.73913

0.144444

0

0.093458

214

3

78

71.333333

0.927835

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

18674b34c9a83175605866d662f9ca902e2ed6ec

100

py

Python

python/testData/mover/insideStatement.py

jnthn/intellij-community

8fa7c8a3ace62400c838e0d5926a7be106aa8557

[ "Apache-2.0" ]

2

2019-04-28T07:48:50.000Z

2020-12-11T14:18:08.000Z

python/testData/mover/insideStatement.py

Cyril-lamirand/intellij-community

60ab6c61b82fc761dd68363eca7d9d69663cfa39

[ "Apache-2.0" ]

173

2018-07-05T13:59:39.000Z

2018-08-09T01:12:03.000Z

python/testData/mover/insideStatement.py

Cyril-lamirand/intellij-community

60ab6c61b82fc761dd68363eca7d9d69663cfa39

[ "Apache-2.0" ]

2

2020-03-15T08:57:37.000Z

2020-04-07T04:48:14.000Z

def foo(a, b): if a: pass else: pass a = <caret>3 if b: pass

12.5

16

0.37

15

100

2.466667

0.6

0

0.021277

0.53

100

8

17

12.5

0.765957

0

0.375

0

null

0.375

0

null

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

18824315d4ba1b9978f980f3e33303a5f0cd3511

116

py

Python

mundo 1/aula 7/exer6.py

jonatan098/cursopython

6e4cbaef6229e230fdbc66d80ec1b5a089887b0d

[ "MIT" ]

null

mundo 1/aula 7/exer6.py

jonatan098/cursopython

6e4cbaef6229e230fdbc66d80ec1b5a089887b0d

[ "MIT" ]

null

mundo 1/aula 7/exer6.py

jonatan098/cursopython

6e4cbaef6229e230fdbc66d80ec1b5a089887b0d

[ "MIT" ]

1

2020-02-22T17:21:05.000Z

n = int(input('digite um numero ')) print(f'o dobro do numero {n} e {n*2} e o triplo e {n*3} e a raiz e {n**(1/2)}')

58

80

0.586207

29

116

2.344828

0.62069

0.088235

0

0.042553

0.189655

116

2

80

58

0.680851

0

0.5

0.74359

0

1

0

false

0

0.5

1

0

null

0

1

0

1

0

null

0

1

0

5

a106f0aa7984f815b1c2ce217cf1e7e2a38bf027

137

py

Python

02-json-to-csv.py

sb-olr/C2C-Shipping-ETL-Analysis

043640e58df9ca58ea361d9d8df37b4274540428

[ "Apache-2.0" ]

null

02-json-to-csv.py

sb-olr/C2C-Shipping-ETL-Analysis

043640e58df9ca58ea361d9d8df37b4274540428

[ "Apache-2.0" ]

null

02-json-to-csv.py

sb-olr/C2C-Shipping-ETL-Analysis

043640e58df9ca58ea361d9d8df37b4274540428

[ "Apache-2.0" ]

null

#!/usr/bin/env python3 # Usage: ./02-json-to-csv.py import my_utils from config import CONFIG my_utils.generate_csv_files(archive=True)

19.571429

41

0.781022

24

137

4.291667

0.791667

0.135922

0

0.024194

0.094891

137

6

42

22.833333

0.806452

0.350365

0

1

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

a11cc56177ca425de270255de4da4b2e6e7008b3

52

py

Python

cobrakbase/core/kbasebiochem/__init__.py

Fxe/cobrakbase

a41c142b0808b4ded16b400167c70b2466eebd85

[ "MIT" ]

3

2018-11-28T12:48:54.000Z

2022-02-28T22:20:32.000Z

cobrakbase/core/kbasebiochem/__init__.py

Fxe/cobrakbase

a41c142b0808b4ded16b400167c70b2466eebd85

[ "MIT" ]

2

2020-06-26T20:13:16.000Z

2020-10-27T05:10:34.000Z

cobrakbase/core/kbasebiochem/__init__.py

Fxe/cobrakbase

a41c142b0808b4ded16b400167c70b2466eebd85

[ "MIT" ]

1

2020-09-02T17:40:34.000Z

from cobrakbase.core.kbasebiochem.media import Media

52

0.884615

7

52

6.571429

0.857143

0

0.057692

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1

52

0.938776

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null

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1

0

1

0

1

0

5

a18621e5ab043a19831adff810a4215ae534afc4

80

py

Python

authorization/__init__.py

edubadges/django_ims_toolbox

b1c5a79e62eac951780e89924c098b00402b5591

[ "MIT" ]

1

2019-01-20T23:00:40.000Z

authorization/__init__.py

edubadges/django_ims_toolbox

b1c5a79e62eac951780e89924c098b00402b5591

[ "MIT" ]

1

2018-12-19T06:51:07.000Z

authorization/__init__.py

edubadges/django_ims_toolbox

b1c5a79e62eac951780e89924c098b00402b5591

[ "MIT" ]

2

2018-12-22T20:19:13.000Z

2020-09-02T07:32:21.000Z

from ims.authorization.oauth_1 import LTIRequestValidator, LTIRemoteUserBackend

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null

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0

1

0

1

0

5

a19f1d08c47859b8d8d46012df013e6e807b6d61

91,298

py

Python

position/controllers.py

josephevans/WeVoteServer

137f3037ba9984e036eb146aeeeecb4e979c21e1

[ "MIT" ]

null

position/controllers.py

josephevans/WeVoteServer

137f3037ba9984e036eb146aeeeecb4e979c21e1

[ "MIT" ]

null

position/controllers.py

josephevans/WeVoteServer

137f3037ba9984e036eb146aeeeecb4e979c21e1

[ "MIT" ]

null

# position/controllers.py # Brought to you by We Vote. Be good. # -*- coding: UTF-8 -*- from .models import PositionEntered, PositionEnteredManager, PositionListManager, ANY_STANCE, NO_STANCE, \ FRIENDS_AND_PUBLIC, FRIENDS_ONLY, PUBLIC_ONLY, SHOW_PUBLIC from ballot.models import OFFICE, CANDIDATE, MEASURE from candidate.models import CandidateCampaignManager from config.base import get_environment_variable from django.contrib import messages from django.http import HttpResponse from election.models import fetch_election_state from exception.models import handle_record_not_saved_exception from follow.models import FollowOrganizationManager, FollowOrganizationList from measure.models import ContestMeasureManager from office.models import ContestOfficeManager from organization.models import OrganizationManager import json import requests from voter.models import fetch_voter_id_from_voter_device_link, VoterManager from voter_guide.models import ORGANIZATION, PUBLIC_FIGURE, VOTER, UNKNOWN_VOTER_GUIDE import wevote_functions.admin from wevote_functions.functions import convert_to_int, is_voter_device_id_valid, positive_value_exists logger = wevote_functions.admin.get_logger(__name__) WE_VOTE_API_KEY = get_environment_variable("WE_VOTE_API_KEY") POSITIONS_SYNC_URL = get_environment_variable("POSITIONS_SYNC_URL") # We retrieve from only one of the two possible variables def position_retrieve_for_api(position_we_vote_id, voter_device_id): # positionRetrieve position_we_vote_id = position_we_vote_id.strip().lower() # TODO for certain positions (voter positions), we need to restrict the retrieve based on voter_device_id / voter_id if voter_device_id: pass we_vote_id = position_we_vote_id.strip().lower() if not positive_value_exists(position_we_vote_id): json_data = { 'status': "POSITION_RETRIEVE_BOTH_IDS_MISSING", 'success': False, 'position_we_vote_id': position_we_vote_id, 'ballot_item_display_name': '', 'speaker_display_name': '', 'speaker_image_url_https': '', 'speaker_twitter_handle': '', 'is_support': False, 'is_positive_rating': False, 'is_support_or_positive_rating': False, 'is_oppose': False, 'is_negative_rating': False, 'is_oppose_or_negative_rating': False, 'is_information_only': False, 'organization_we_vote_id': '', 'google_civic_election_id': '', 'voter_id': 0, 'office_we_vote_id': '', 'candidate_we_vote_id': '', 'measure_we_vote_id': '', 'stance': '', 'statement_text': '', 'statement_html': '', 'more_info_url': '', 'vote_smart_rating': '', 'vote_smart_time_span': '', 'last_updated': '', } return HttpResponse(json.dumps(json_data), content_type='application/json') position_manager = PositionEnteredManager() organization_id = 0 organization_we_vote_id = '' contest_office_id = 0 candidate_campaign_id = 0 contest_measure_id = 0 position_voter_id = 0 results = position_manager.retrieve_position_table_unknown( position_we_vote_id, organization_id, organization_we_vote_id, position_voter_id, contest_office_id, candidate_campaign_id, contest_measure_id) if results['position_found']: position = results['position'] json_data = { 'success': True, 'status': results['status'], 'position_we_vote_id': position.we_vote_id, 'ballot_item_display_name': position.ballot_item_display_name, 'speaker_display_name': position.speaker_display_name, 'speaker_image_url_https': position.speaker_image_url_https, 'speaker_twitter_handle': position.speaker_twitter_handle, 'is_support': results['is_support'], 'is_positive_rating': results['is_positive_rating'], 'is_support_or_positive_rating': results['is_support_or_positive_rating'], 'is_oppose': results['is_oppose'], 'is_negative_rating': results['is_negative_rating'], 'is_oppose_or_negative_rating': results['is_oppose_or_negative_rating'], 'is_information_only': results['is_information_only'], 'organization_we_vote_id': position.organization_we_vote_id, 'google_civic_election_id': position.google_civic_election_id, 'voter_id': position.voter_id, 'office_we_vote_id': '', # position.office_we_vote_id, 'candidate_we_vote_id': position.candidate_campaign_we_vote_id, 'measure_we_vote_id': position.contest_measure_we_vote_id, 'stance': position.stance, 'statement_text': position.statement_text, 'statement_html': position.statement_html, 'more_info_url': position.more_info_url, 'vote_smart_rating': position.vote_smart_rating, 'vote_smart_time_span': position.vote_smart_time_span, 'last_updated': position.last_updated(), } return HttpResponse(json.dumps(json_data), content_type='application/json') else: json_data = { 'status': results['status'], 'success': results['success'], 'position_we_vote_id': we_vote_id, 'ballot_item_display_name': '', 'speaker_display_name': '', 'speaker_image_url_https': '', 'speaker_twitter_handle': '', 'is_support': False, 'is_positive_rating': False, 'is_support_or_positive_rating': False, 'is_oppose': False, 'is_negative_rating': False, 'is_oppose_or_negative_rating': False, 'is_information_only': False, 'organization_we_vote_id': '', 'google_civic_election_id': '', 'voter_id': 0, 'office_we_vote_id': '', 'candidate_we_vote_id': '', 'measure_we_vote_id': '', 'stance': NO_STANCE, 'statement_text': '', 'statement_html': '', 'more_info_url': '', 'vote_smart_rating': '', 'vote_smart_time_span': '', 'last_updated': '', } return HttpResponse(json.dumps(json_data), content_type='application/json') def position_save_for_api( # positionSave voter_device_id, position_we_vote_id, organization_we_vote_id, public_figure_we_vote_id, voter_we_vote_id, google_civic_election_id, ballot_item_display_name, office_we_vote_id, candidate_we_vote_id, measure_we_vote_id, stance, set_as_public_position, statement_text, statement_html, more_info_url ): position_we_vote_id = position_we_vote_id.strip().lower() existing_unique_identifier_found = positive_value_exists(position_we_vote_id) new_unique_identifier_found = positive_value_exists(organization_we_vote_id) \ and positive_value_exists(google_civic_election_id) and ( positive_value_exists(office_we_vote_id) or positive_value_exists(candidate_we_vote_id) or positive_value_exists(measure_we_vote_id) ) unique_identifier_found = existing_unique_identifier_found or new_unique_identifier_found # We must have these variables in order to create a new entry required_variables_for_new_entry = positive_value_exists(organization_we_vote_id) \ and positive_value_exists(google_civic_election_id) and ( positive_value_exists(office_we_vote_id) or positive_value_exists(candidate_we_vote_id) or positive_value_exists(measure_we_vote_id) ) if not unique_identifier_found: results = { 'status': "POSITION_REQUIRED_UNIQUE_IDENTIFIER_VARIABLES_MISSING", 'success': False, 'voter_device_id': voter_device_id, 'position_we_vote_id': position_we_vote_id, 'new_position_created': False, 'ballot_item_display_name': ballot_item_display_name, 'speaker_display_name': '', 'speaker_image_url_https': '', 'speaker_twitter_handle': '', 'is_support': False, 'is_positive_rating': False, 'is_support_or_positive_rating': False, 'is_oppose': False, 'is_negative_rating': False, 'is_oppose_or_negative_rating': False, 'is_information_only': False, 'is_public_position': False, 'organization_we_vote_id': organization_we_vote_id, 'google_civic_election_id': google_civic_election_id, 'state_code': '', 'voter_id': 0, 'office_we_vote_id': office_we_vote_id, 'candidate_we_vote_id': candidate_we_vote_id, 'measure_we_vote_id': measure_we_vote_id, 'stance': stance, 'statement_text': statement_text, 'statement_html': statement_html, 'more_info_url': more_info_url, 'last_updated': '', } return results elif not existing_unique_identifier_found and not required_variables_for_new_entry: results = { 'status': "NEW_POSITION_REQUIRED_VARIABLES_MISSING", 'success': False, 'voter_device_id': voter_device_id, 'position_we_vote_id': position_we_vote_id, 'new_position_created': False, 'ballot_item_display_name': ballot_item_display_name, 'speaker_display_name': '', 'speaker_image_url_https': '', 'speaker_twitter_handle': '', 'is_support': False, 'is_positive_rating': False, 'is_support_or_positive_rating': False, 'is_oppose': False, 'is_negative_rating': False, 'is_oppose_or_negative_rating': False, 'is_information_only': False, 'is_public_position': False, 'organization_we_vote_id': organization_we_vote_id, 'google_civic_election_id': google_civic_election_id, 'state_code': '', 'voter_id': 0, 'office_we_vote_id': office_we_vote_id, 'candidate_we_vote_id': candidate_we_vote_id, 'measure_we_vote_id': measure_we_vote_id, 'stance': stance, 'statement_text': statement_text, 'statement_html': statement_html, 'more_info_url': more_info_url, 'last_updated': '', } return results # Look up the state_code from the election state_code = fetch_election_state(google_civic_election_id) position_manager = PositionEnteredManager() save_results = position_manager.update_or_create_position( position_we_vote_id=position_we_vote_id, organization_we_vote_id=organization_we_vote_id, public_figure_we_vote_id=public_figure_we_vote_id, voter_we_vote_id=voter_we_vote_id, google_civic_election_id=google_civic_election_id, state_code=state_code, ballot_item_display_name=ballot_item_display_name, office_we_vote_id=office_we_vote_id, candidate_we_vote_id=candidate_we_vote_id, measure_we_vote_id=measure_we_vote_id, stance=stance, set_as_public_position=set_as_public_position, statement_text=statement_text, statement_html=statement_html, more_info_url=more_info_url, ) if save_results['success']: position = save_results['position'] results = { 'success': save_results['success'], 'status': save_results['status'], 'voter_device_id': voter_device_id, 'position_we_vote_id': position.we_vote_id, 'new_position_created': save_results['new_position_created'], 'ballot_item_display_name': position.ballot_item_display_name, 'speaker_display_name': position.speaker_display_name, 'speaker_image_url_https': position.speaker_image_url_https, 'speaker_twitter_handle': position.speaker_twitter_handle, 'is_support': position.is_support(), 'is_positive_rating': position.is_positive_rating(), 'is_support_or_positive_rating': position.is_support_or_positive_rating(), 'is_oppose': position.is_oppose(), 'is_negative_rating': position.is_negative_rating(), 'is_oppose_or_negative_rating': position.is_oppose_or_negative_rating(), 'is_information_only': position.is_information_only(), 'is_public_position': position.is_public_position, 'organization_we_vote_id': position.organization_we_vote_id, 'google_civic_election_id': position.google_civic_election_id, 'state_code': position.state_code, 'voter_id': position.voter_id, 'office_we_vote_id': '', # position.office_we_vote_id, 'candidate_we_vote_id': position.candidate_campaign_we_vote_id, 'measure_we_vote_id': position.contest_measure_we_vote_id, 'stance': position.stance, 'statement_text': position.statement_text, 'statement_html': position.statement_html, 'more_info_url': position.more_info_url, 'last_updated': position.last_updated(), } return results else: results = { 'success': False, 'status': save_results['status'], 'voter_device_id': voter_device_id, 'position_we_vote_id': position_we_vote_id, 'new_position_created': False, 'ballot_item_display_name': '', 'speaker_display_name': '', 'speaker_image_url_https': '', 'speaker_twitter_handle': '', 'is_support': False, 'is_positive_rating': False, 'is_support_or_positive_rating': False, 'is_oppose': False, 'is_negative_rating': False, 'is_oppose_or_negative_rating': False, 'is_information_only': False, 'is_public_position': False, 'organization_we_vote_id': organization_we_vote_id, 'google_civic_election_id': google_civic_election_id, 'voter_id': 0, 'office_we_vote_id': office_we_vote_id, 'candidate_we_vote_id': candidate_we_vote_id, 'measure_we_vote_id': measure_we_vote_id, 'stance': stance, 'statement_text': statement_text, 'statement_html': statement_html, 'more_info_url': more_info_url, 'last_updated': '', } return results def position_list_for_ballot_item_for_api(voter_device_id, friends_vs_public, # positionListForBallotItem office_id, office_we_vote_id, candidate_id, candidate_we_vote_id, measure_id, measure_we_vote_id, stance_we_are_looking_for=ANY_STANCE, show_positions_this_voter_follows=True): """ We want to return a JSON file with the position identifiers from orgs, friends and public figures the voter follows This list of information is used to retrieve the detailed information """ status = "" success = False position_manager = PositionEnteredManager() # Get voter_id from the voter_device_id so we can know who is supporting/opposing results = is_voter_device_id_valid(voter_device_id) if not results['success']: position_list = [] json_data = { 'status': 'VALID_VOTER_DEVICE_ID_MISSING', 'success': False, 'count': 0, 'kind_of_ballot_item': "UNKNOWN", 'ballot_item_id': 0, 'position_list': position_list, } return HttpResponse(json.dumps(json_data), content_type='application/json') voter_manager = VoterManager() voter_results = voter_manager.retrieve_voter_from_voter_device_id(voter_device_id) if voter_results['voter_found']: voter = voter_results['voter'] voter_id = voter.id voter_we_vote_id = voter.we_vote_id else: voter_id = 0 voter_we_vote_id = "" if not positive_value_exists(voter_id): position_list = [] json_data = { 'status': "VALID_VOTER_ID_MISSING ", 'success': False, 'count': 0, 'kind_of_ballot_item': "UNKNOWN", 'ballot_item_id': 0, 'position_list': position_list, } return HttpResponse(json.dumps(json_data), content_type='application/json') # If we are looking for positions that the voter is following, we can also show friend's opinions # If show_positions_this_voter_follows = False, then we are looking for positions we can follow retrieve_friends_positions = friends_vs_public in (FRIENDS_ONLY, FRIENDS_AND_PUBLIC) \ and show_positions_this_voter_follows retrieve_public_positions = friends_vs_public in (PUBLIC_ONLY, FRIENDS_AND_PUBLIC) friends_we_vote_id_list = [] # TODO DALE We need to pass in the voter's list of friends # Add yourself as a friend so your opinions show up friends_we_vote_id_list.append(voter_we_vote_id) position_list_manager = PositionListManager() ballot_item_found = False friends_positions_list = [] if positive_value_exists(candidate_id) or positive_value_exists(candidate_we_vote_id): kind_of_ballot_item = CANDIDATE ############################ # Retrieve public positions if retrieve_public_positions: retrieve_public_positions_now = True # The alternate is positions for friends-only return_only_latest_position_per_speaker = True public_positions_list = position_list_manager.retrieve_all_positions_for_candidate_campaign( retrieve_public_positions_now, candidate_id, candidate_we_vote_id, stance_we_are_looking_for, return_only_latest_position_per_speaker) is_public_position_setting = True public_positions_list = position_list_manager.add_is_public_position(public_positions_list, is_public_position_setting) else: public_positions_list = [] ################################## # Now retrieve friend's positions if retrieve_friends_positions: retrieve_public_positions_now = False # This being False means: "Positions from friends-only" return_only_latest_position_per_speaker = True friends_positions_list = position_list_manager.retrieve_all_positions_for_candidate_campaign( retrieve_public_positions_now, candidate_id, candidate_we_vote_id, stance_we_are_looking_for, return_only_latest_position_per_speaker, friends_we_vote_id_list) # Now add is_public_position to each value is_public_position_setting = False friends_positions_list = position_list_manager.add_is_public_position(friends_positions_list, is_public_position_setting) else: friends_positions_list = [] # Since we want to return the id and we_vote_id for this ballot item, and we don't know for sure that # there are any positions for this ballot_item (which would include both the id and we_vote_id), # we retrieve the following so we can get the ballot item's id and we_vote_id (per the request of # the WebApp team) candidate_campaign_manager = CandidateCampaignManager() if positive_value_exists(candidate_id): results = candidate_campaign_manager.retrieve_candidate_campaign_from_id(candidate_id) else: results = candidate_campaign_manager.retrieve_candidate_campaign_from_we_vote_id(candidate_we_vote_id) if results['candidate_campaign_found']: candidate_campaign = results['candidate_campaign'] ballot_item_id = candidate_campaign.id ballot_item_we_vote_id = candidate_campaign.we_vote_id ballot_item_found = True else: ballot_item_id = candidate_id ballot_item_we_vote_id = candidate_we_vote_id elif positive_value_exists(measure_id) or positive_value_exists(measure_we_vote_id): kind_of_ballot_item = MEASURE ############################ # Retrieve public positions if retrieve_public_positions: retrieve_public_positions_now = True # The alternate is positions for friends-only return_only_latest_position_per_speaker = True public_positions_list = position_list_manager.retrieve_all_positions_for_contest_measure( retrieve_public_positions_now, measure_id, measure_we_vote_id, stance_we_are_looking_for, return_only_latest_position_per_speaker) is_public_position_setting = True public_positions_list = position_list_manager.add_is_public_position(public_positions_list, is_public_position_setting) else: public_positions_list = [] ################################## # Now retrieve friend's positions if retrieve_friends_positions: retrieve_public_positions_now = False # This being False means: "Positions from friends-only" return_only_latest_position_per_speaker = True friends_positions_list = position_list_manager.retrieve_all_positions_for_contest_measure( retrieve_public_positions_now, measure_id, measure_we_vote_id, stance_we_are_looking_for, return_only_latest_position_per_speaker, friends_we_vote_id_list) is_public_position_setting = False friends_positions_list = position_list_manager.add_is_public_position(friends_positions_list, is_public_position_setting) else: friends_positions_list = [] # Since we want to return the id and we_vote_id, and we don't know for sure that there are any positions # for this ballot_item, we retrieve the following so we can get the id and we_vote_id (per the request of # the WebApp team) contest_measure_manager = ContestMeasureManager() if positive_value_exists(measure_id): results = contest_measure_manager.retrieve_contest_measure_from_id(measure_id) else: results = contest_measure_manager.retrieve_contest_measure_from_we_vote_id(measure_we_vote_id) if results['contest_measure_found']: contest_measure = results['contest_measure'] ballot_item_id = contest_measure.id ballot_item_we_vote_id = contest_measure.we_vote_id ballot_item_found = True else: ballot_item_id = measure_id ballot_item_we_vote_id = measure_we_vote_id elif positive_value_exists(office_id) or positive_value_exists(office_we_vote_id): public_positions_list = position_list_manager.retrieve_all_positions_for_contest_office( office_id, office_we_vote_id, stance_we_are_looking_for) kind_of_ballot_item = OFFICE # Since we want to return the id and we_vote_id, and we don't know for sure that there are any positions # for this ballot_item, we retrieve the following so we can get the id and we_vote_id (per the request of # the WebApp team) contest_office_manager = ContestOfficeManager() if positive_value_exists(office_id): results = contest_office_manager.retrieve_contest_office_from_id(office_id) else: results = contest_office_manager.retrieve_contest_office_from_we_vote_id(office_we_vote_id) if results['contest_office_found']: contest_office = results['contest_office'] ballot_item_id = contest_office.id ballot_item_we_vote_id = contest_office.we_vote_id ballot_item_found = True else: ballot_item_id = office_id ballot_item_we_vote_id = office_we_vote_id else: position_list = [] json_data = { 'status': 'POSITION_LIST_RETRIEVE_MISSING_BALLOT_ITEM_ID', 'success': False, 'count': 0, 'kind_of_ballot_item': "UNKNOWN", 'ballot_item_id': 0, 'ballot_item_we_vote_id': '', 'position_list': position_list, } return HttpResponse(json.dumps(json_data), content_type='application/json') if not ballot_item_found: position_list = [] json_data = { 'status': 'POSITION_LIST_RETRIEVE_BALLOT_ITEM_NOT_FOUND', 'success': False, 'count': 0, 'kind_of_ballot_item': "UNKNOWN", 'ballot_item_id': ballot_item_id, 'ballot_item_we_vote_id': ballot_item_we_vote_id, 'position_list': position_list, } return HttpResponse(json.dumps(json_data), content_type='application/json') if len(public_positions_list): follow_organization_list_manager = FollowOrganizationList() organizations_followed_by_voter = \ follow_organization_list_manager.retrieve_follow_organization_by_voter_id_simple_id_array(voter_id) if show_positions_this_voter_follows: position_objects = position_list_manager.calculate_positions_followed_by_voter( voter_id, public_positions_list, organizations_followed_by_voter) status = 'SUCCESSFUL_RETRIEVE_OF_POSITIONS_FOLLOWED' success = True else: position_objects = position_list_manager.calculate_positions_not_followed_by_voter( public_positions_list, organizations_followed_by_voter) status = 'SUCCESSFUL_RETRIEVE_OF_POSITIONS_NOT_FOLLOWED' success = True else: position_objects = [] if len(friends_positions_list): position_objects = friends_positions_list + position_objects positions_count = len(position_objects) # We need the linked_organization_we_vote_id so we can remove the viewer's positions from the list. linked_organization_we_vote_id = "" if positive_value_exists(positions_count): voter_manager = VoterManager() results = voter_manager.retrieve_voter_by_id(voter_id) if results['voter_found']: voter = results['voter'] linked_organization_we_vote_id = voter.linked_organization_we_vote_id position_list = [] for one_position in position_objects: # Is there sufficient information in the position to display it? some_data_exists = True if one_position.is_support() \ or one_position.is_oppose() \ or one_position.is_information_only() \ or positive_value_exists(one_position.vote_smart_rating) \ or positive_value_exists(one_position.statement_text) \ or positive_value_exists(one_position.more_info_url) else False if not some_data_exists: # Skip this position if there isn't any data to display continue # Whose position is it? if positive_value_exists(one_position.organization_we_vote_id): if linked_organization_we_vote_id == one_position.organization_we_vote_id: # Do not show your own position on the position list, since it will be in the edit spot already continue speaker_type = ORGANIZATION speaker_id = one_position.organization_id speaker_we_vote_id = one_position.organization_we_vote_id one_position_success = True # Make sure we have this data to display if not positive_value_exists(one_position.speaker_display_name) \ or not positive_value_exists(one_position.speaker_image_url_https) \ or not positive_value_exists(one_position.speaker_twitter_handle): one_position = position_manager.refresh_cached_position_info(one_position) speaker_display_name = one_position.speaker_display_name elif positive_value_exists(one_position.voter_id): if voter_id == one_position.voter_id: # Do not show your own position on the position list, since it will be in the edit spot already continue speaker_type = VOTER speaker_id = one_position.voter_id speaker_we_vote_id = one_position.voter_we_vote_id one_position_success = True # Make sure we have this data to display if not positive_value_exists(one_position.speaker_display_name) \ or not positive_value_exists(one_position.voter_we_vote_id) \ or not positive_value_exists(one_position.speaker_image_url_https) \ or not positive_value_exists(one_position.speaker_twitter_handle): one_position = position_manager.refresh_cached_position_info(one_position) speaker_display_name = "You" elif positive_value_exists(one_position.public_figure_we_vote_id): speaker_type = PUBLIC_FIGURE speaker_id = one_position.public_figure_id speaker_we_vote_id = one_position.public_figure_we_vote_id one_position_success = True # Make sure we have this data to display if not positive_value_exists(one_position.speaker_display_name) \ or not positive_value_exists(one_position.speaker_image_url_https) \ or not positive_value_exists(one_position.speaker_twitter_handle): one_position = position_manager.refresh_cached_position_info(one_position) speaker_display_name = one_position.speaker_display_name else: speaker_type = UNKNOWN_VOTER_GUIDE speaker_display_name = "Unknown" speaker_id = None speaker_we_vote_id = None one_position_success = False if one_position_success: one_position_dict_for_api = { 'position_we_vote_id': one_position.we_vote_id, 'ballot_item_display_name': one_position.ballot_item_display_name, 'speaker_display_name': speaker_display_name, 'speaker_image_url_https': one_position.speaker_image_url_https, 'speaker_twitter_handle': one_position.speaker_twitter_handle, 'speaker_type': speaker_type, 'speaker_id': speaker_id, 'speaker_we_vote_id': speaker_we_vote_id, 'is_support': one_position.is_support(), 'is_positive_rating': one_position.is_positive_rating(), 'is_support_or_positive_rating': one_position.is_support_or_positive_rating(), 'is_oppose': one_position.is_oppose(), 'is_negative_rating': one_position.is_negative_rating(), 'is_oppose_or_negative_rating': one_position.is_oppose_or_negative_rating(), 'is_information_only': one_position.is_information_only(), 'is_public_position': one_position.is_public_position, 'vote_smart_rating': one_position.vote_smart_rating, 'vote_smart_time_span': one_position.vote_smart_time_span, 'statement_text': one_position.statement_text, 'more_info_url': one_position.more_info_url, 'last_updated': one_position.last_updated(), } position_list.append(one_position_dict_for_api) json_data = { 'status': status, 'success': success, 'count': positions_count, 'kind_of_ballot_item': kind_of_ballot_item, 'ballot_item_id': ballot_item_id, 'ballot_item_we_vote_id': ballot_item_we_vote_id, 'position_list': position_list, } return HttpResponse(json.dumps(json_data), content_type='application/json') def position_list_for_opinion_maker_for_api(voter_device_id, # positionListForOpinionMaker organization_id, organization_we_vote_id, public_figure_id, public_figure_we_vote_id, friends_vs_public=FRIENDS_AND_PUBLIC, stance_we_are_looking_for=ANY_STANCE, filter_for_voter=False, filter_out_voter=False, google_civic_election_id=0, state_code=''): """ We want to return a JSON file with a list of positions held by orgs, and friends public figures. We can limit the positions to friend's only if needed. """ is_following = False is_ignoring = False opinion_maker_display_name = '' opinion_maker_image_url_https = '' status = '' position_list_raw = [] # Convert incoming variables to "opinion_maker" if positive_value_exists(organization_id) or positive_value_exists(organization_we_vote_id): kind_of_opinion_maker = ORGANIZATION kind_of_opinion_maker_text = "ORGANIZATION" # For returning a value via the API opinion_maker_id = organization_id opinion_maker_we_vote_id = organization_we_vote_id elif positive_value_exists(public_figure_id) or positive_value_exists(public_figure_we_vote_id): kind_of_opinion_maker = PUBLIC_FIGURE kind_of_opinion_maker_text = "PUBLIC_FIGURE" opinion_maker_id = public_figure_id opinion_maker_we_vote_id = public_figure_we_vote_id else: kind_of_opinion_maker = UNKNOWN_VOTER_GUIDE kind_of_opinion_maker_text = "UNKNOWN_VOTER_GUIDE" opinion_maker_id = 0 opinion_maker_we_vote_id = '' position_manager = PositionEnteredManager() # Get voter_id from the voter_device_id so we can know who is supporting/opposing results = is_voter_device_id_valid(voter_device_id) if not results['success']: position_list = [] json_data = { 'status': 'VALID_VOTER_DEVICE_ID_MISSING_OPINION_MAKER_POSITION_LIST', 'success': False, 'count': 0, 'kind_of_opinion_maker': kind_of_opinion_maker_text, 'opinion_maker_id': opinion_maker_id, 'opinion_maker_we_vote_id': opinion_maker_we_vote_id, 'opinion_maker_display_name': opinion_maker_display_name, 'opinion_maker_image_url_https': opinion_maker_image_url_https, 'is_following': is_following, 'is_ignoring': is_ignoring, 'google_civic_election_id': google_civic_election_id, 'state_code': state_code, 'position_list': position_list, 'filter_for_voter': filter_for_voter, 'filter_out_voter': filter_out_voter, 'friends_vs_public': friends_vs_public, } return HttpResponse(json.dumps(json_data), content_type='application/json') voter_id = fetch_voter_id_from_voter_device_link(voter_device_id) if not positive_value_exists(voter_id): position_list = [] json_data = { 'status': "VALID_VOTER_ID_MISSING_OPINION_MAKER_POSITION_LIST ", 'success': False, 'count': 0, 'kind_of_opinion_maker': kind_of_opinion_maker_text, 'opinion_maker_id': opinion_maker_id, 'opinion_maker_we_vote_id': opinion_maker_we_vote_id, 'opinion_maker_display_name': opinion_maker_display_name, 'opinion_maker_image_url_https': opinion_maker_image_url_https, 'is_following': is_following, 'is_ignoring': is_ignoring, 'google_civic_election_id': google_civic_election_id, 'state_code': state_code, 'position_list': position_list, 'filter_for_voter': filter_for_voter, 'filter_out_voter': filter_out_voter, 'friends_vs_public': friends_vs_public, } return HttpResponse(json.dumps(json_data), content_type='application/json') position_list_manager = PositionListManager() opinion_maker_found = False if kind_of_opinion_maker == ORGANIZATION: # Since we want to return the id and we_vote_id, and we don't know for sure that there are any positions # for this opinion_maker, we retrieve the following so we can get the id and we_vote_id (per the request of # the WebApp team) organization_manager = OrganizationManager() if positive_value_exists(organization_id): results = organization_manager.retrieve_organization_from_id(organization_id) else: results = organization_manager.retrieve_organization_from_we_vote_id(organization_we_vote_id) if results['organization_found']: organization = results['organization'] opinion_maker_id = organization.id opinion_maker_we_vote_id = organization.we_vote_id opinion_maker_display_name = organization.organization_name opinion_maker_image_url_https = organization.organization_photo_url() opinion_maker_found = True follow_organization_manager = FollowOrganizationManager() voter_we_vote_id = '' following_results = follow_organization_manager.retrieve_voter_following_org_status( voter_id, voter_we_vote_id, opinion_maker_id, opinion_maker_we_vote_id) if following_results['is_following']: is_following = True elif following_results['is_ignoring']: is_ignoring = True position_list_raw = position_list_manager.retrieve_all_positions_for_organization( organization_id, organization_we_vote_id, stance_we_are_looking_for, friends_vs_public, filter_for_voter, filter_out_voter, voter_device_id, google_civic_election_id, state_code) else: opinion_maker_id = organization_id opinion_maker_we_vote_id = organization_we_vote_id elif kind_of_opinion_maker == PUBLIC_FIGURE: position_list_raw = position_list_manager.retrieve_all_positions_for_public_figure( public_figure_id, public_figure_we_vote_id, stance_we_are_looking_for, filter_for_voter, filter_out_voter, voter_device_id, google_civic_election_id, state_code) # Since we want to return the id and we_vote_id, and we don't know for sure that there are any positions # for this opinion_maker, we retrieve the following so we can have the id and we_vote_id (per the request of # the WebApp team) # TODO Do we want to give public figures an entry separate from their voter account? Needs to be implemented. # candidate_campaign_manager = CandidateCampaignManager() # if positive_value_exists(candidate_id): # results = candidate_campaign_manager.retrieve_candidate_campaign_from_id(candidate_id) # else: # results = candidate_campaign_manager.retrieve_candidate_campaign_from_we_vote_id(candidate_we_vote_id) # # if results['candidate_campaign_found']: # candidate_campaign = results['candidate_campaign'] # ballot_item_id = candidate_campaign.id # ballot_item_we_vote_id = candidate_campaign.we_vote_id # opinion_maker_found = True # else: # ballot_item_id = candidate_id # ballot_item_we_vote_id = candidate_we_vote_id else: position_list = [] json_data = { 'status': 'POSITION_LIST_RETRIEVE_MISSING_OPINION_MAKER_ID', 'success': False, 'count': 0, 'kind_of_opinion_maker': kind_of_opinion_maker_text, 'opinion_maker_id': opinion_maker_id, 'opinion_maker_we_vote_id': opinion_maker_we_vote_id, 'opinion_maker_display_name': opinion_maker_display_name, 'opinion_maker_image_url_https': opinion_maker_image_url_https, 'is_following': is_following, 'is_ignoring': is_ignoring, 'google_civic_election_id': google_civic_election_id, 'state_code': state_code, 'position_list': position_list, 'filter_for_voter': filter_for_voter, 'filter_out_voter': filter_out_voter, 'friends_vs_public': friends_vs_public, } return HttpResponse(json.dumps(json_data), content_type='application/json') if not opinion_maker_found: position_list = [] json_data = { 'status': 'POSITION_LIST_RETRIEVE_OPINION_MAKER_NOT_FOUND', 'success': False, 'count': 0, 'kind_of_opinion_maker': kind_of_opinion_maker_text, 'opinion_maker_id': opinion_maker_id, 'opinion_maker_we_vote_id': opinion_maker_we_vote_id, 'opinion_maker_display_name': opinion_maker_display_name, 'opinion_maker_image_url_https': opinion_maker_image_url_https, 'is_following': is_following, 'is_ignoring': is_ignoring, 'google_civic_election_id': google_civic_election_id, 'state_code': state_code, 'position_list': position_list, 'filter_for_voter': filter_for_voter, 'filter_out_voter': filter_out_voter, 'friends_vs_public': friends_vs_public, } return HttpResponse(json.dumps(json_data), content_type='application/json') position_list = [] for one_position in position_list_raw: # Whose position is it? missing_ballot_item_image = False missing_office_information = False if positive_value_exists(one_position.candidate_campaign_we_vote_id): kind_of_ballot_item = CANDIDATE ballot_item_id = one_position.candidate_campaign_id ballot_item_we_vote_id = one_position.candidate_campaign_we_vote_id if not positive_value_exists(one_position.contest_office_we_vote_id) \ or not positive_value_exists(one_position.contest_office_name): missing_office_information = True if not positive_value_exists(one_position.ballot_item_image_url_https): missing_ballot_item_image = True one_position_success = True elif positive_value_exists(one_position.contest_measure_we_vote_id): kind_of_ballot_item = MEASURE ballot_item_id = one_position.contest_measure_id ballot_item_we_vote_id = one_position.contest_measure_we_vote_id one_position_success = True elif positive_value_exists(one_position.contest_office_we_vote_id): kind_of_ballot_item = OFFICE ballot_item_id = one_position.contest_office_id ballot_item_we_vote_id = one_position.contest_office_we_vote_id one_position_success = True else: kind_of_ballot_item = "UNKNOWN_BALLOT_ITEM" ballot_item_id = None ballot_item_we_vote_id = None one_position_success = False if one_position_success: # Make sure we have this data to display. If we don't, refresh PositionEntered table from other tables. if not positive_value_exists(one_position.ballot_item_display_name) \ or not positive_value_exists(one_position.state_code) \ or not positive_value_exists(one_position.speaker_image_url_https) \ or missing_ballot_item_image \ or missing_office_information: one_position = position_manager.refresh_cached_position_info(one_position) one_position_dict_for_api = { 'position_we_vote_id': one_position.we_vote_id, 'ballot_item_display_name': one_position.ballot_item_display_name, # Candidate name or Measure 'ballot_item_image_url_https': one_position.ballot_item_image_url_https, 'ballot_item_twitter_handle': one_position.ballot_item_twitter_handle, 'ballot_item_political_party': one_position.political_party, 'kind_of_ballot_item': kind_of_ballot_item, 'ballot_item_id': ballot_item_id, 'ballot_item_we_vote_id': ballot_item_we_vote_id, 'ballot_item_state_code': one_position.state_code, 'contest_office_id': one_position.contest_office_id, 'contest_office_we_vote_id': one_position.contest_office_we_vote_id, 'contest_office_name': one_position.contest_office_name, 'is_support': one_position.is_support(), 'is_positive_rating': one_position.is_positive_rating(), 'is_support_or_positive_rating': one_position.is_support_or_positive_rating(), 'is_oppose': one_position.is_oppose(), 'is_negative_rating': one_position.is_negative_rating(), 'is_oppose_or_negative_rating': one_position.is_oppose_or_negative_rating(), 'is_information_only': one_position.is_information_only(), 'is_public_position': one_position.is_public_position, 'speaker_display_name': one_position.speaker_display_name, # Organization name 'vote_smart_rating': one_position.vote_smart_rating, 'vote_smart_time_span': one_position.vote_smart_time_span, 'google_civic_election_id': one_position.google_civic_election_id, 'more_info_url': one_position.more_info_url, 'statement_text': one_position.statement_text, 'last_updated': one_position.last_updated(), } position_list.append(one_position_dict_for_api) status += ' POSITION_LIST_FOR_OPINION_MAKER_SUCCEEDED' success = True json_data = { 'status': status, 'success': success, 'count': len(position_list), 'kind_of_opinion_maker': kind_of_opinion_maker_text, 'opinion_maker_id': opinion_maker_id, 'opinion_maker_we_vote_id': opinion_maker_we_vote_id, 'opinion_maker_display_name': opinion_maker_display_name, 'opinion_maker_image_url_https': opinion_maker_image_url_https, 'is_following': is_following, 'is_ignoring': is_ignoring, 'google_civic_election_id': google_civic_election_id, 'state_code': state_code, 'position_list': position_list, 'filter_for_voter': filter_for_voter, 'filter_out_voter': filter_out_voter, 'friends_vs_public': friends_vs_public, } return HttpResponse(json.dumps(json_data), content_type='application/json') def positions_import_from_sample_file(request=None): # , load_from_uri=False """ Get the json data, and either create new entries or update existing :return: """ # Load saved json from local file with open("position/import_data/positions_sample.json") as json_data: structured_json = json.load(json_data) request = None return positions_import_from_structured_json(request, structured_json) def positions_import_from_master_server(request, google_civic_election_id=''): """ Get the json data, and either create new entries or update existing :return: """ messages.add_message(request, messages.INFO, "Loading Positions from We Vote Master servers") logger.info("Loading Positions from We Vote Master servers") # Request json file from We Vote servers request = requests.get(POSITIONS_SYNC_URL, params={ "key": WE_VOTE_API_KEY, # This comes from an environment variable "format": 'json', "google_civic_election_id": google_civic_election_id, }) structured_json = json.loads(request.text) results = filter_positions_structured_json_for_local_duplicates(structured_json) filtered_structured_json = results['structured_json'] duplicates_removed = results['duplicates_removed'] import_results = positions_import_from_structured_json(filtered_structured_json) import_results['duplicates_removed'] = duplicates_removed return import_results def filter_positions_structured_json_for_local_duplicates(structured_json): """ With this function, we remove positions that seem to be duplicates, but have different we_vote_id's. We do not check to see if we have a matching office this routine -- that is done elsewhere. :param structured_json: :return: """ duplicates_removed = 0 filtered_structured_json = [] position_list_manager = PositionListManager() for one_position in structured_json: we_vote_id = one_position['we_vote_id'] if 'we_vote_id' in one_position else '' google_civic_election_id = \ one_position['google_civic_election_id'] if 'google_civic_election_id' in one_position else '' organization_we_vote_id = \ one_position['organization_we_vote_id'] if 'organization_we_vote_id' in one_position else '' candidate_campaign_we_vote_id = one_position['candidate_campaign_we_vote_id'] \ if 'candidate_campaign_we_vote_id' in one_position else '' contest_measure_we_vote_id = one_position['contest_measure_we_vote_id'] \ if 'contest_measure_we_vote_id' in one_position else '' # Check to see if there is an entry that matches in all critical ways, minus the we_vote_id we_vote_id_from_master = we_vote_id results = position_list_manager.retrieve_possible_duplicate_positions( google_civic_election_id, organization_we_vote_id, candidate_campaign_we_vote_id, contest_measure_we_vote_id, we_vote_id_from_master) if results['position_list_found']: # There seems to be a duplicate already in this database using a different we_vote_id duplicates_removed += 1 else: filtered_structured_json.append(one_position) positions_results = { 'success': True, 'status': "FILTER_POSITIONS_FOR_DUPLICATES_PROCESS_COMPLETE", 'duplicates_removed': duplicates_removed, 'structured_json': filtered_structured_json, } return positions_results def positions_import_from_structured_json(structured_json): positions_saved = 0 positions_updated = 0 positions_not_processed = 0 for one_position in structured_json: # Make sure we have the minimum required variables if positive_value_exists(one_position["we_vote_id"]) \ and (positive_value_exists(one_position["organization_we_vote_id"]) or positive_value_exists( one_position["public_figure_we_vote_id"])) \ and positive_value_exists(one_position["candidate_campaign_we_vote_id"]): # organization position on candidate pass elif positive_value_exists(one_position["we_vote_id"]) \ and (positive_value_exists(one_position["organization_we_vote_id"]) or positive_value_exists( one_position["public_figure_we_vote_id"])) \ and positive_value_exists(one_position["contest_measure_we_vote_id"]): # organization position on measure pass else: # Note that we do not import voter_we_vote_id positions at this point because they are considered private positions_not_processed += 1 continue # Check to see if this position had been imported previously position_on_stage_found = False try: if len(one_position["we_vote_id"]) > 0: position_query = PositionEntered.objects.filter(we_vote_id=one_position["we_vote_id"]) if len(position_query): position_on_stage = position_query[0] position_on_stage_found = True except PositionEntered.DoesNotExist as e: pass except Exception as e: pass # We need to look up the local organization_id and store for internal use organization_id = 0 if positive_value_exists(one_position["organization_we_vote_id"]): organization_manager = OrganizationManager() organization_id = organization_manager.fetch_organization_id(one_position["organization_we_vote_id"]) if not positive_value_exists(organization_id): # If an id does not exist, then we don't have this organization locally positions_not_processed += 1 continue elif positive_value_exists(one_position["public_figure_we_vote_id"]): # TODO Build this for public_figure - skip for now continue candidate_campaign_manager = CandidateCampaignManager() candidate_campaign_id = 0 contest_measure_id = 0 if positive_value_exists(one_position["candidate_campaign_we_vote_id"]): # We need to look up the local candidate_campaign_id and store for internal use candidate_campaign_id = candidate_campaign_manager.fetch_candidate_campaign_id_from_we_vote_id( one_position["candidate_campaign_we_vote_id"]) if not positive_value_exists(candidate_campaign_id): # If an id does not exist, then we don't have this candidate locally positions_not_processed += 1 continue elif positive_value_exists(one_position["contest_measure_we_vote_id"]): contest_measure_manager = ContestMeasureManager() contest_measure_id = contest_measure_manager.fetch_contest_measure_id_from_we_vote_id( one_position["contest_measure_we_vote_id"]) if not positive_value_exists(contest_measure_id): # If an id does not exist, then we don't have this measure locally positions_not_processed += 1 continue contest_office_id = 0 if positive_value_exists(one_position['contest_office_we_vote_id']): # TODO pass politician_id = 0 if positive_value_exists(one_position['politician_we_vote_id']): # TODO pass voter_id = 0 if positive_value_exists(one_position['voter_we_vote_id']): # TODO pass # Find the google_civic_candidate_name so we have a backup way to link position if the we_vote_id is lost google_civic_candidate_name = one_position["google_civic_candidate_name"] if \ "google_civic_candidate_name" in one_position else '' if not positive_value_exists(google_civic_candidate_name): google_civic_candidate_name = candidate_campaign_manager.fetch_google_civic_candidate_name_from_we_vote_id( one_position["candidate_campaign_we_vote_id"]) try: if position_on_stage_found: # Update position_on_stage.we_vote_id = one_position["we_vote_id"] position_on_stage.candidate_campaign_id = candidate_campaign_id position_on_stage.candidate_campaign_we_vote_id = one_position["candidate_campaign_we_vote_id"] position_on_stage.contest_measure_id = contest_measure_id position_on_stage.contest_measure_we_vote_id = one_position["contest_measure_we_vote_id"] position_on_stage.contest_office_id = contest_office_id position_on_stage.contest_office_we_vote_id = one_position["contest_office_we_vote_id"] position_on_stage.date_entered = one_position["date_entered"] position_on_stage.google_civic_candidate_name = google_civic_candidate_name position_on_stage.google_civic_election_id = one_position["google_civic_election_id"] position_on_stage.more_info_url = one_position["more_info_url"] position_on_stage.organization_id = organization_id position_on_stage.organization_we_vote_id = one_position["organization_we_vote_id"] position_on_stage.stance = one_position["stance"] position_on_stage.statement_text = one_position["statement_text"] position_on_stage.statement_html = one_position["statement_html"] else: # Create new position_on_stage = PositionEntered( we_vote_id=one_position["we_vote_id"], candidate_campaign_id=candidate_campaign_id, candidate_campaign_we_vote_id=one_position["candidate_campaign_we_vote_id"], contest_measure_id=contest_measure_id, contest_measure_we_vote_id=one_position["contest_measure_we_vote_id"], contest_office_id=contest_office_id, contest_office_we_vote_id=one_position["contest_office_we_vote_id"], date_entered=one_position["date_entered"], google_civic_candidate_name=google_civic_candidate_name, google_civic_election_id=one_position["google_civic_election_id"], more_info_url=one_position["more_info_url"], organization_id=organization_id, organization_we_vote_id=one_position["organization_we_vote_id"], stance=one_position["stance"], statement_html=one_position["statement_html"], statement_text=one_position["statement_text"], ) position_on_stage.ballot_item_display_name = one_position["ballot_item_display_name"] position_on_stage.ballot_item_image_url_https = one_position["ballot_item_image_url_https"] position_on_stage.ballot_item_twitter_handle = one_position["ballot_item_twitter_handle"] position_on_stage.from_scraper = one_position["from_scraper"] position_on_stage.date_last_changed = one_position["date_last_changed"] position_on_stage.organization_certified = one_position["organization_certified"] position_on_stage.politician_id = politician_id position_on_stage.politician_we_vote_id = one_position["politician_we_vote_id"] position_on_stage.public_figure_we_vote_id = one_position["public_figure_we_vote_id"] position_on_stage.speaker_display_name = one_position["speaker_display_name"] position_on_stage.speaker_image_url_https = one_position["speaker_image_url_https"] position_on_stage.speaker_twitter_handle = one_position["speaker_twitter_handle"] position_on_stage.tweet_source_id = one_position["tweet_source_id"] position_on_stage.twitter_user_entered_position = one_position["twitter_user_entered_position"] position_on_stage.volunteer_certified = one_position["volunteer_certified"] position_on_stage.vote_smart_rating = one_position["vote_smart_rating"] position_on_stage.vote_smart_rating_id = one_position["vote_smart_rating_id"] position_on_stage.vote_smart_rating_name = one_position["vote_smart_rating_name"] position_on_stage.vote_smart_time_span = one_position["vote_smart_time_span"] position_on_stage.voter_entering_position = one_position["voter_entering_position"] position_on_stage.voter_id = voter_id position_on_stage.voter_we_vote_id = one_position["voter_we_vote_id"] position_on_stage.save() if position_on_stage_found: # Update positions_updated += 1 else: # New positions_saved += 1 except Exception as e: handle_record_not_saved_exception(e, logger=logger) positions_not_processed += 1 positions_results = { 'success': True, 'status': "POSITIONS_IMPORT_PROCESS_COMPLETE", 'saved': positions_saved, 'updated': positions_updated, 'not_processed': positions_not_processed, } return positions_results # We retrieve the position for this voter for one ballot item. Could just be the stance, but for now we are # retrieving the entire position def voter_position_retrieve_for_api(voter_device_id, office_we_vote_id, candidate_we_vote_id, measure_we_vote_id): results = is_voter_device_id_valid(voter_device_id) if not results['success']: return HttpResponse(json.dumps(results['json_data']), content_type='application/json') if positive_value_exists(office_we_vote_id): kind_of_ballot_item = OFFICE ballot_item_we_vote_id = office_we_vote_id elif positive_value_exists(candidate_we_vote_id): kind_of_ballot_item = CANDIDATE ballot_item_we_vote_id = candidate_we_vote_id elif positive_value_exists(measure_we_vote_id): kind_of_ballot_item = MEASURE ballot_item_we_vote_id = candidate_we_vote_id else: kind_of_ballot_item = '' ballot_item_we_vote_id = '' voter_id = fetch_voter_id_from_voter_device_link(voter_device_id) if not positive_value_exists(voter_id): # Don't need is_positive_rating, is_support_or_positive_rating, is_negative_rating, # or is_oppose_or_negative_rating json_data = { 'status': "VOTER_NOT_FOUND_FROM_VOTER_DEVICE_ID", 'success': False, 'position_we_vote_id': '', 'ballot_item_display_name': '', 'speaker_display_name': '', 'speaker_image_url_https': '', 'speaker_twitter_handle': '', 'is_support': False, 'is_oppose': False, 'is_information_only': False, 'google_civic_election_id': '', 'office_we_vote_id': office_we_vote_id, 'candidate_we_vote_id': candidate_we_vote_id, 'measure_we_vote_id': measure_we_vote_id, 'kind_of_ballot_item': kind_of_ballot_item, 'ballot_item_we_vote_id': ballot_item_we_vote_id, 'stance': '', 'statement_text': '', 'statement_html': '', 'more_info_url': '', 'last_updated': '', 'voter_device_id': voter_device_id, } return HttpResponse(json.dumps(json_data), content_type='application/json') office_we_vote_id = office_we_vote_id.strip().lower() candidate_we_vote_id = candidate_we_vote_id.strip().lower() measure_we_vote_id = measure_we_vote_id.strip().lower() if not positive_value_exists(office_we_vote_id) and \ not positive_value_exists(candidate_we_vote_id) and \ not positive_value_exists(measure_we_vote_id): # Don't need is_positive_rating, is_support_or_positive_rating, is_negative_rating, # or is_oppose_or_negative_rating json_data = { 'status': "POSITION_RETRIEVE_MISSING_AT_LEAST_ONE_BALLOT_ITEM_ID", 'success': False, 'position_we_vote_id': '', 'ballot_item_display_name': '', 'speaker_display_name': '', 'speaker_image_url_https': '', 'speaker_twitter_handle': '', 'is_support': False, 'is_oppose': False, 'is_information_only': False, 'google_civic_election_id': '', 'office_we_vote_id': office_we_vote_id, 'candidate_we_vote_id': candidate_we_vote_id, 'measure_we_vote_id': measure_we_vote_id, 'kind_of_ballot_item': kind_of_ballot_item, 'ballot_item_we_vote_id': ballot_item_we_vote_id, 'stance': '', 'statement_text': '', 'statement_html': '', 'more_info_url': '', 'last_updated': '', 'voter_device_id': voter_device_id, } return HttpResponse(json.dumps(json_data), content_type='application/json') position_manager = PositionEnteredManager() if positive_value_exists(office_we_vote_id): results = position_manager.retrieve_voter_contest_office_position_with_we_vote_id( voter_id, office_we_vote_id) elif positive_value_exists(candidate_we_vote_id): results = position_manager.retrieve_voter_candidate_campaign_position_with_we_vote_id( voter_id, candidate_we_vote_id) elif positive_value_exists(measure_we_vote_id): results = position_manager.retrieve_voter_contest_measure_position_with_we_vote_id( voter_id, measure_we_vote_id) if results['position_found']: position = results['position'] # Don't need is_positive_rating, is_support_or_positive_rating, is_negative_rating, # or is_oppose_or_negative_rating json_data = { 'success': True, 'status': results['status'], 'position_we_vote_id': position.we_vote_id, 'ballot_item_display_name': position.ballot_item_display_name, 'speaker_display_name': position.speaker_display_name, 'speaker_image_url_https': position.speaker_image_url_https, 'speaker_twitter_handle': position.speaker_twitter_handle, 'is_support': results['is_support'], 'is_oppose': results['is_oppose'], 'is_information_only': results['is_information_only'], 'google_civic_election_id': position.google_civic_election_id, 'office_we_vote_id': position.contest_office_we_vote_id, 'candidate_we_vote_id': position.candidate_campaign_we_vote_id, 'measure_we_vote_id': position.contest_measure_we_vote_id, 'kind_of_ballot_item': kind_of_ballot_item, 'ballot_item_we_vote_id': ballot_item_we_vote_id, 'stance': position.stance, 'statement_text': position.statement_text, 'statement_html': position.statement_html, 'more_info_url': position.more_info_url, 'last_updated': position.last_updated(), 'voter_device_id': voter_device_id, } return HttpResponse(json.dumps(json_data), content_type='application/json') else: # Don't need is_positive_rating, is_support_or_positive_rating, is_negative_rating, # or is_oppose_or_negative_rating json_data = { 'status': results['status'], 'success': True, 'position_we_vote_id': '', 'ballot_item_display_name': '', 'speaker_display_name': '', 'speaker_image_url_https': '', 'speaker_twitter_handle': '', 'is_support': False, 'is_oppose': False, 'is_information_only': False, 'google_civic_election_id': '', 'office_we_vote_id': office_we_vote_id, 'candidate_we_vote_id': candidate_we_vote_id, 'measure_we_vote_id': measure_we_vote_id, 'kind_of_ballot_item': kind_of_ballot_item, 'ballot_item_we_vote_id': ballot_item_we_vote_id, 'stance': '', 'statement_text': '', 'statement_html': '', 'more_info_url': '', 'last_updated': '', 'voter_device_id': voter_device_id, } return HttpResponse(json.dumps(json_data), content_type='application/json') # We retrieve the position for this voter for all ballot items. Could just be the stance, but for now we are # retrieving the entire position def voter_all_positions_retrieve_for_api(voter_device_id, google_civic_election_id): # voterAllPositionsRetrieve results = is_voter_device_id_valid(voter_device_id) if not results['success']: json_data = { 'status': "VOTER_DEVICE_ID_NOT_VALID-VOTER_ALL_POSITIONS", 'success': False, 'position_list_found': False, 'position_list': [], } return HttpResponse(json.dumps(json_data), content_type='application/json') voter_id = fetch_voter_id_from_voter_device_link(voter_device_id) if not positive_value_exists(voter_id): json_data = { 'status': "VOTER_NOT_FOUND_FROM_VOTER_DEVICE_ID-VOTER_ALL_POSITIONS", 'success': False, 'position_list_found': False, 'position_list': [], } return HttpResponse(json.dumps(json_data), content_type='application/json') position_list_manager = PositionListManager() voter_we_vote_id = '' results = position_list_manager.retrieve_all_positions_for_voter_simple(voter_id, voter_we_vote_id, google_civic_election_id) if results['position_list_found']: position_list = results['position_list'] json_data = { 'status': results['status'], 'success': True, 'position_list_found': True, 'position_list': position_list, } return HttpResponse(json.dumps(json_data), content_type='application/json') else: json_data = { 'status': "VOTER_POSITIONS_NOT_FOUND-NONE_EXIST", 'success': True, 'position_list_found': False, 'position_list': [], } return HttpResponse(json.dumps(json_data), content_type='application/json') def voter_position_comment_save_for_api( # voterPositionCommentSave voter_device_id, position_we_vote_id, office_we_vote_id, candidate_we_vote_id, measure_we_vote_id, statement_text, statement_html, ): results = is_voter_device_id_valid(voter_device_id) if not results['success']: json_data_from_results = results['json_data'] json_data = { 'status': json_data_from_results['status'], 'success': False, 'ballot_item_id': 0, 'ballot_item_we_vote_id': '', 'kind_of_ballot_item': '', 'statement_text': statement_text, 'is_public_position': False } return json_data voter_manager = VoterManager() voter_results = voter_manager.retrieve_voter_from_voter_device_id(voter_device_id) voter_id = voter_results['voter_id'] if not positive_value_exists(voter_id): json_data = { 'status': "VOTER_NOT_FOUND_FROM_VOTER_DEVICE_ID-VOTER_POSITION_COMMENT", 'success': False, 'voter_device_id': voter_device_id, 'position_we_vote_id': position_we_vote_id, 'ballot_item_id': 0, 'ballot_item_we_vote_id': '', 'kind_of_ballot_item': '', 'statement_text': statement_text, 'is_public_position': False } return json_data voter = voter_results['voter'] position_we_vote_id = position_we_vote_id.strip().lower() existing_unique_identifier_found = positive_value_exists(position_we_vote_id) new_unique_identifier_found = positive_value_exists(voter_id) \ and ( positive_value_exists(office_we_vote_id) or positive_value_exists(candidate_we_vote_id) or positive_value_exists(measure_we_vote_id) ) unique_identifier_found = existing_unique_identifier_found or new_unique_identifier_found # We must have these variables in order to create a new entry required_variables_for_new_entry = positive_value_exists(voter_id) \ and ( positive_value_exists(office_we_vote_id) or positive_value_exists(candidate_we_vote_id) or positive_value_exists(measure_we_vote_id) ) if not unique_identifier_found: json_data = { 'status': "POSITION_REQUIRED_UNIQUE_IDENTIFIER_VARIABLES_MISSING", 'success': False, 'voter_device_id': voter_device_id, 'position_we_vote_id': position_we_vote_id, 'ballot_item_id': 0, 'ballot_item_we_vote_id': '', 'kind_of_ballot_item': '', 'statement_text': statement_text, 'is_public_position': False } return json_data elif not existing_unique_identifier_found and not required_variables_for_new_entry: # Don't need is_positive_rating, is_support_or_positive_rating, is_negative_rating, # or is_oppose_or_negative_rating json_data = { 'status': "NEW_POSITION_REQUIRED_VARIABLES_MISSING", 'success': False, 'voter_device_id': voter_device_id, 'position_we_vote_id': position_we_vote_id, 'ballot_item_id': 0, 'ballot_item_we_vote_id': '', 'kind_of_ballot_item': '', 'statement_text': statement_text, 'is_public_position': False } return json_data position_manager = PositionEnteredManager() save_results = position_manager.update_or_create_position_comment( position_we_vote_id=position_we_vote_id, voter_id=voter_id, voter_we_vote_id=voter.we_vote_id, office_we_vote_id=office_we_vote_id, candidate_we_vote_id=candidate_we_vote_id, measure_we_vote_id=measure_we_vote_id, statement_text=statement_text, statement_html=statement_html ) if save_results['success']: position = save_results['position'] is_public_position = save_results['is_public_position'] if positive_value_exists(position.candidate_campaign_we_vote_id): kind_of_ballot_item = CANDIDATE ballot_item_id = position.candidate_campaign_id ballot_item_we_vote_id = position.candidate_campaign_we_vote_id elif positive_value_exists(position.contest_measure_we_vote_id): kind_of_ballot_item = MEASURE ballot_item_id = position.contest_measure_id ballot_item_we_vote_id = position.contest_measure_we_vote_id elif positive_value_exists(position.contest_office_we_vote_id): kind_of_ballot_item = OFFICE ballot_item_id = position.contest_office_id ballot_item_we_vote_id = position.contest_office_we_vote_id else: kind_of_ballot_item = "UNKNOWN_BALLOT_ITEM" ballot_item_id = None ballot_item_we_vote_id = None json_data = { 'success': save_results['success'], 'status': save_results['status'], 'voter_device_id': voter_device_id, 'position_we_vote_id': position.we_vote_id, 'ballot_item_id': ballot_item_id, 'ballot_item_we_vote_id': ballot_item_we_vote_id, 'kind_of_ballot_item': kind_of_ballot_item, 'statement_text': position.statement_text, 'statement_html': position.statement_html, 'is_public_position': is_public_position } return json_data else: json_data = { 'success': False, 'status': save_results['status'], 'voter_device_id': voter_device_id, 'position_we_vote_id': '', 'ballot_item_id': 0, 'ballot_item_we_vote_id': "", 'kind_of_ballot_item': "", 'statement_text': statement_text, 'statement_html': statement_html, 'is_public_position': False } return json_data def voter_position_visibility_save_for_api( # voterPositionVisibilitySave voter_device_id, office_we_vote_id, candidate_we_vote_id, measure_we_vote_id, visibility_setting ): status = "ENTERING_VOTER_POSITION_VISIBILITY" is_public_position = None results = is_voter_device_id_valid(voter_device_id) if not results['success']: json_data_from_results = results['json_data'] json_data = { 'status': json_data_from_results['status'], 'success': False, 'ballot_item_id': 0, 'ballot_item_we_vote_id': '', 'kind_of_ballot_item': '', 'visibility_setting': visibility_setting, } return json_data voter_manager = VoterManager() voter_results = voter_manager.retrieve_voter_from_voter_device_id(voter_device_id) voter_id = voter_results['voter_id'] if not positive_value_exists(voter_id): json_data = { 'status': "VOTER_NOT_FOUND_FROM_VOTER_DEVICE_ID-VOTER_POSITION_COMMENT", 'success': False, 'voter_device_id': voter_device_id, 'ballot_item_id': 0, 'ballot_item_we_vote_id': '', 'kind_of_ballot_item': '', 'visibility_setting': visibility_setting, 'is_public_position': is_public_position, } return json_data voter = voter_results['voter'] unique_identifier_found = positive_value_exists(voter_id) \ and ( positive_value_exists(office_we_vote_id) or positive_value_exists(candidate_we_vote_id) or positive_value_exists(measure_we_vote_id) ) if not unique_identifier_found: json_data = { 'status': "VOTER_POSITION_VISIBILITY-REQUIRED_UNIQUE_IDENTIFIER_VARIABLES_MISSING", 'success': False, 'voter_device_id': voter_device_id, 'ballot_item_id': 0, 'ballot_item_we_vote_id': '', 'kind_of_ballot_item': '', 'visibility_setting': visibility_setting, 'is_public_position': is_public_position, } return json_data switch_to_show_position_to_public = visibility_setting == SHOW_PUBLIC switch_to_show_position_to_friends = visibility_setting == FRIENDS_ONLY if not switch_to_show_position_to_public and not switch_to_show_position_to_friends: json_data = { 'status': "VOTER_POSITION_VISIBILITY-NO_VISIBILITY_SETTING_PROVIDED", 'success': False, 'voter_device_id': voter_device_id, 'ballot_item_id': 0, 'ballot_item_we_vote_id': '', 'kind_of_ballot_item': '', 'visibility_setting': visibility_setting, 'is_public_position': is_public_position, } return json_data # Make sure we can lay our hands on the existing position entry success = False position_entered_manager = PositionEnteredManager() if positive_value_exists(candidate_we_vote_id): results = position_entered_manager.retrieve_voter_candidate_campaign_position_with_we_vote_id( voter_id, candidate_we_vote_id) elif positive_value_exists(measure_we_vote_id): results = position_entered_manager.retrieve_voter_contest_measure_position_with_we_vote_id( voter_id, measure_we_vote_id) elif positive_value_exists(office_we_vote_id): results = position_entered_manager.retrieve_voter_contest_office_position_with_we_vote_id( voter_id, office_we_vote_id) if not results['position_found']: # If here, an existing position does not exist and a new position needs to be created results = position_entered_manager.create_position_for_visibility_change( voter_id, office_we_vote_id, candidate_we_vote_id, measure_we_vote_id, visibility_setting) if results['position_found']: is_public_position = results['is_public_position'] position = results['position'] status = results['status'] success = results['success'] else: status = "VOTER_POSITION_VISIBILITY-POSITION_NOT_FOUND_AND_NOT_CREATED" success = False elif results['position_found']: is_public_position = results['is_public_position'] position = results['position'] if positive_value_exists(switch_to_show_position_to_public): if positive_value_exists(is_public_position): status = "VOTER_POSITION_VISIBILITY-ALREADY_PUBLIC_POSITION" merge_results = position_entered_manager.merge_into_public_position(position) success = merge_results['success'] status += " " + merge_results['status'] else: # If here, copy the position from the PositionForFriends table to the PositionEntered table status = "VOTER_POSITION_VISIBILITY-SWITCHING_TO_PUBLIC_POSITION" change_results = position_entered_manager.transfer_to_public_position(position) success = change_results['success'] status += " " + change_results['status'] if success: is_public_position = True elif positive_value_exists(switch_to_show_position_to_friends): if positive_value_exists(is_public_position): # If here, copy the position from the PositionEntered to the PositionForFriends table status = "VOTER_POSITION_VISIBILITY-SWITCHING_TO_FRIENDS_ONLY_POSITION" change_results = position_entered_manager.transfer_to_friends_only_position(position) success = change_results['success'] status += " " + change_results['status'] if success: is_public_position = False else: status = "VOTER_POSITION_VISIBILITY-ALREADY_FRIENDS_ONLY_POSITION" merge_results = position_entered_manager.merge_into_friends_only_position(position) success = merge_results['success'] status += " " + merge_results['status'] else: status = "VOTER_POSITION_VISIBILITY-POSITION_NOT_FOUND-COULD_NOT_BE_CREATED" # If here, an existing position could not be created position_entered_manager.create_position_for_visibility_change() if success: # Prepare return values if positive_value_exists(candidate_we_vote_id): kind_of_ballot_item = CANDIDATE ballot_item_id = position.candidate_campaign_id ballot_item_we_vote_id = position.candidate_campaign_we_vote_id elif positive_value_exists(measure_we_vote_id): kind_of_ballot_item = MEASURE ballot_item_id = position.contest_measure_id ballot_item_we_vote_id = measure_we_vote_id elif positive_value_exists(office_we_vote_id): kind_of_ballot_item = OFFICE ballot_item_id = position.contest_office_id ballot_item_we_vote_id = position.contest_office_we_vote_id else: kind_of_ballot_item = "UNKNOWN_BALLOT_ITEM" ballot_item_id = None ballot_item_we_vote_id = None json_data = { 'success': success, 'status': status, 'voter_device_id': voter_device_id, 'position_we_vote_id': position.we_vote_id, 'ballot_item_id': ballot_item_id, 'ballot_item_we_vote_id': ballot_item_we_vote_id, 'kind_of_ballot_item': kind_of_ballot_item, 'visibility_setting': visibility_setting, 'is_public_position': is_public_position, } return json_data else: if positive_value_exists(candidate_we_vote_id): kind_of_ballot_item = CANDIDATE ballot_item_id = 0 ballot_item_we_vote_id = candidate_we_vote_id elif positive_value_exists(measure_we_vote_id): kind_of_ballot_item = MEASURE ballot_item_id = 0 ballot_item_we_vote_id = measure_we_vote_id elif positive_value_exists(office_we_vote_id): kind_of_ballot_item = OFFICE ballot_item_id = 0 ballot_item_we_vote_id = office_we_vote_id else: kind_of_ballot_item = "UNKNOWN_BALLOT_ITEM" ballot_item_id = None ballot_item_we_vote_id = None json_data = { 'success': success, 'status': status, 'voter_device_id': voter_device_id, 'position_we_vote_id': '', 'ballot_item_id': ballot_item_id, 'ballot_item_we_vote_id': ballot_item_we_vote_id, 'kind_of_ballot_item': kind_of_ballot_item, 'visibility_setting': visibility_setting, 'is_public_position': is_public_position, } return json_data

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1

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null

0

5

a1aa2644c42d33fc16ec6f3728f4af39b511f6bd

123

py

Python

cron/admin.py

Littledelma/mofadog

5a7c6672da248e400a8a5746506a6e7b273c9510

[ "MIT" ]

null

cron/admin.py

Littledelma/mofadog

5a7c6672da248e400a8a5746506a6e7b273c9510

[ "MIT" ]

1

2021-06-08T03:28:08.000Z

cron/admin.py

Littledelma/mofadog

5a7c6672da248e400a8a5746506a6e7b273c9510

[ "MIT" ]

1

2021-06-08T03:23:34.000Z

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

24.6

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5

a1c40c42bb903110c00dd53c0189fc8332e921f5

15,078

py

Python

test/test_integration_list.py

jdumas/conjur-api-python3

96e438765d580722357a070507305feafcb59d2a

[ "Apache-2.0" ]

16

2019-05-17T15:34:59.000Z

2021-11-08T10:30:21.000Z

test/test_integration_list.py

jdumas/conjur-api-python3

96e438765d580722357a070507305feafcb59d2a

[ "Apache-2.0" ]

301

2019-05-07T18:27:10.000Z

2022-01-26T13:03:49.000Z

test/test_integration_list.py

jdumas/conjur-api-python3

96e438765d580722357a070507305feafcb59d2a

[ "Apache-2.0" ]

10

2019-07-30T17:00:13.000Z

2022-01-20T17:00:34.000Z

# -*- coding: utf-8 -*- """ CLI List Integration tests This test file handles the main test flows for the list command """ import io import os import shutil from contextlib import redirect_stderr from conjur.constants import DEFAULT_CONFIG_FILE from test.util.test_infrastructure import integration_test from test.util.test_runners.integration_test_case import IntegrationTestCaseBase from test.util import test_helpers as utils # Not coverage tested since integration tests doesn't run in # the same build step class CliIntegrationTestList(IntegrationTestCaseBase): # pragma: no cover def __init__(self, testname, client_params=None, environment_params=None): super(CliIntegrationTestList, self).__init__(testname, client_params, environment_params) # *************** HELPERS *************** def setUp(self): self.setup_cli_params({}) # Used to configure the CLI and login to run tests utils.setup_cli(self) self.invoke_cli(self.cli_auth_params, ['policy', 'replace', '-b', 'root', '-f', self.environment.path_provider.get_policy_path("list")]) # *************** TESTS *************** @integration_test() def test_list_without_valid_conjurrc_raises_config_exception(self): os.remove(DEFAULT_CONFIG_FILE) shutil.copy(self.environment.path_provider.test_missing_account_conjurrc, self.environment.path_provider.conjurrc_path) with self.assertRaises(AssertionError): self.invoke_cli(self.cli_auth_params, ['list']) @integration_test() def test_list_returns_resources(self): output = self.invoke_cli(self.cli_auth_params, ['list']) self.assertIn(f'[\n "{self.client_params.account}:policy:root",\n' f' "{self.client_params.account}:user:someuser",\n' f' "{self.client_params.account}:layer:somelayer",\n' f' "{self.client_params.account}:group:somegroup",\n' f' "{self.client_params.account}:host:anotherhost",\n' f' "{self.client_params.account}:variable:one/password",\n' f' "{self.client_params.account}:webservice:somewebservice"\n]\n', output) @integration_test(True) def test_list_help_returns_help_screen(self): output = self.invoke_cli(self.cli_auth_params, ['list', '-h']) self.assertIn("Name:\n list", output) @integration_test(True) def test_list_inspect_user_returns_info_on_user(self): self.invoke_cli(self.cli_auth_params, ['policy', 'replace', '-b', 'root', '-f', self.environment.path_provider.get_policy_path("conjur")]) output = self.invoke_cli(self.cli_auth_params, ['list', '--inspect', '--kind', 'user']) self.assertIn(f' "id": "{self.client_params.account}:user:someuser",\n' f' "owner": "{self.client_params.account}:user:admin",\n' f' "policy": "{self.client_params.account}:policy:root",\n' f' "permissions": [],\n' f' "annotations": [],\n' f' "restricted_to": []\n' f' }}\n' f']\n', output) @integration_test() def test_list_kind_layer_returns_layers(self): with self.assertLogs('', level='DEBUG') as mock_log: output = self.invoke_cli(self.cli_auth_params, ['list', '-k', 'layer']) self.assertIn(f'[\n "{self.client_params.account}:layer:somelayer"\n]\n',output) self.assertIn("Executing list command with the following constraints: {'kind': 'layer'}", str(mock_log.output)) @integration_test(True) def test_list_kind_user_returns_users(self): output = self.invoke_cli(self.cli_auth_params, ['list', '-k', 'user']) self.assertIn(f'[\n "{self.client_params.account}:user:someuser"\n]\n', output) @integration_test(True) def test_list_kind_nonexistent_returns_empty_list(self): output = self.invoke_cli(self.cli_auth_params, ['list', '-k', 'nonexistentkind']) self.assertIn(f'[]\n', output) @integration_test(True) def test_list_kind_variable_returns_variables(self): output = self.invoke_cli(self.cli_auth_params, ['list', '-k', 'variable']) self.assertIn(f'[\n "{self.client_params.account}:variable:one/password"\n]\n', output) @integration_test(True) def test_list_kind_group_returns_groups(self): output = self.invoke_cli(self.cli_auth_params, ['list', '-k', 'group']) self.assertIn(f'[\n "{self.client_params.account}:group:somegroup"\n]\n', output) @integration_test() def test_list_kind_policy_returns_policies(self): output = self.invoke_cli(self.cli_auth_params, ['list', '-k', 'policy']) self.assertIn(f'[\n "{self.client_params.account}:policy:root"\n]\n', output) @integration_test() def test_list_kind_policy_returns_policies_insecure(self): self.setup_insecure() output = self.invoke_cli(self.cli_auth_params, ['list', '-k', 'policy']) self.assertIn(f'[\n "{self.client_params.account}:policy:root"\n]\n', output) @integration_test() def test_list_kind_policy_returns_policies_insecure(self): self.setup_insecure() output = self.invoke_cli(self.cli_auth_params, ['list', '-k', 'policy']) self.assertIn(f'[\n "{self.client_params.account}:policy:root"\n]\n', output) @integration_test(True) def test_list_kind_short_host_returns_hosts(self): output = self.invoke_cli(self.cli_auth_params, ['list', '-k', 'host']) self.assertIn(f'[\n "{self.client_params.account}:host:anotherhost"\n]\n', output) @integration_test(True) def test_list_kind_long_host_returns_hosts(self): output = self.invoke_cli(self.cli_auth_params, ['list', '--kind=host']) self.assertIn(f'[\n "{self.client_params.account}:host:anotherhost"\n]\n', output) @integration_test(True) def test_list_kind_webservice_returns_webservices(self): output = self.invoke_cli(self.cli_auth_params, ['list', '-k', 'webservice']) self.assertIn(f'[\n "{self.client_params.account}:webservice:somewebservice"\n]\n', output) @integration_test() def test_list_insecure_list_prints_warning_in_log(self): with self.assertLogs('', level='DEBUG') as mock_log: self.invoke_cli(self.cli_auth_params, ['--insecure', 'list']) self.assertIn("Warning: Running the command with '--insecure' makes your system vulnerable to security attacks", str(mock_log.output)) @integration_test() def test_list_limit_short_returns_same_number_of_resources(self): output = self.invoke_cli(self.cli_auth_params, ['list', '-l', '5']) self.assertIn(f'[\n "{self.client_params.account}:group:somegroup",\n' f' "{self.client_params.account}:host:anotherhost",\n' f' "{self.client_params.account}:layer:somelayer",\n' f' "{self.client_params.account}:policy:root",\n' f' "{self.client_params.account}:user:someuser"\n]\n', output) @integration_test() def test_list_limit_long_returns_same_number_of_resources(self): output = self.invoke_cli(self.cli_auth_params, ['list', '--limit=5']) self.assertIn(f'[\n "{self.client_params.account}:group:somegroup",\n' f' "{self.client_params.account}:host:anotherhost",\n' f' "{self.client_params.account}:layer:somelayer",\n' f' "{self.client_params.account}:policy:root",\n' f' "{self.client_params.account}:user:someuser"\n]\n', output) @integration_test(True) def test_list_limit_invalid_param_returns_empty_list(self): output = self.invoke_cli(self.cli_auth_params, ['list', '-l', '0'], exit_code=1) self.assertIn("422 Client Error", output) @integration_test(True) def test_list_limit_string_raises_error(self): output = self.invoke_cli(self.cli_auth_params, ['list', '-l', 'somestring'], exit_code=1) self.assertIn("422 Client Error", output) ''' Validates that an invalid input (a negative number) raises an error ''' @integration_test(True) def test_list_limit_invalid_negative_param_raises_error(self): output = self.invoke_cli(self.cli_auth_params, ['list', '-l', '-5'], exit_code=1) self.assertIn("422 Client Error", output) @integration_test() def test_list_random_input_raises_error(self): capture_stream = io.StringIO() with redirect_stderr(capture_stream): self.invoke_cli(self.cli_auth_params, ['list', 'someinput'], exit_code=1) self.assertIn("Error unrecognized arguments", capture_stream.getvalue()) @integration_test(True) def test_list_offset_short_returns_list_starting_at_param(self): output = self.invoke_cli(self.cli_auth_params, ['list', '-o', '2']) self.assertIn(f'[\n "{self.client_params.account}:layer:somelayer",\n' f' "{self.client_params.account}:policy:root",\n' f' "{self.client_params.account}:user:someuser",\n' f' "{self.client_params.account}:variable:one/password",\n' f' "{self.client_params.account}:webservice:somewebservice"\n]\n', output) @integration_test() def test_list_offset_long_returns_list_starting_at_param(self): output = self.invoke_cli(self.cli_auth_params, ['list', '--offset=2']) self.assertIn(f'[\n "{self.client_params.account}:layer:somelayer",\n' f' "{self.client_params.account}:policy:root",\n' f' "{self.client_params.account}:user:someuser",\n' f' "{self.client_params.account}:variable:one/password",\n' f' "{self.client_params.account}:webservice:somewebservice"\n]\n', output) @integration_test() def test_list_offset_returns_list_of_all_resources(self): output = self.invoke_cli(self.cli_auth_params, ['list', '-o', '0']) self.assertIn(f'[\n "{self.client_params.account}:group:somegroup",\n' f' "{self.client_params.account}:host:anotherhost",\n' f' "{self.client_params.account}:layer:somelayer",\n' f' "{self.client_params.account}:policy:root",\n' f' "{self.client_params.account}:user:someuser",\n' f' "{self.client_params.account}:variable:one/password",\n' f' "{self.client_params.account}:webservice:somewebservice"\n]\n', output) @integration_test(True) def test_list_offset_negative_raises_error(self): output = self.invoke_cli(self.cli_auth_params, ['list', '-o', '-1'], exit_code=1) self.assertIn("422 Client Error", output) # This tests is commented out because of a bug in server (https://github.com/cyberark/conjur/issues/1997) # where a string is considered valid input for offset. For example, when offset=somestring a list # of Conjur resources are returned instead of a 500 internal server error # @integration_test(True) # def test_list_string_offset_raises_error(self): # output = self.invoke_cli(self.cli_auth_params, ['list', '-o', 'somestring']) # self.assertIn(output, # f'[\n "{self.client_params.account}:group:somegroup",\n' # f' "{self.client_params.account}:host:anotherhost",\n' # f' "{self.client_params.account}:layer:somelayer",\n' # f' "{self.client_params.account}:policy:root",\n' # f' "{self.client_params.account}:user:someuser",\n' # f' "{self.client_params.account}:variable:one/password",\n' # f' "{self.client_params.account}:webservice:somewebservice"\n]\n') @integration_test(True) def test_list_short_search_returns_list_with_param(self): output = self.invoke_cli(self.cli_auth_params, ['list', '-s', 'someuser']) self.assertIn(f'[\n "{self.client_params.account}:user:someuser"\n]\n', output) @integration_test(True) def test_list_long_search_returns_list_with_param(self): output = self.invoke_cli(self.cli_auth_params, ['list', '--search=someuser']) self.assertIn(f'[\n "{self.client_params.account}:user:someuser"\n]\n', output) @integration_test(True) def test_list_search_nonexistent_resource_returns_empty_list(self): output = self.invoke_cli(self.cli_auth_params, ['list', '-s', 'some']) self.assertIn(f'[]\n', output) @integration_test(True) def test_list_role_short_user_returns_resources_that_can_be_viewed(self): output = self.invoke_cli(self.cli_auth_params, ['list', '-r', f'{self.client_params.account}:user:someuser']) self.assertIn(f'[\n "{self.client_params.account}:variable:one/password"\n]\n', output) @integration_test(True) def test_list_role_long_user_returns_resources_that_can_be_viewed(self): output = self.invoke_cli(self.cli_auth_params, ['list', f'--role={self.client_params.account}:user:someuser']) self.assertIn(f'[\n "{self.client_params.account}:variable:one/password"\n]\n', output) @integration_test(True) def test_list_role_nonexistent_user_returns_forbidden(self): output = self.invoke_cli(self.cli_auth_params, ['list', '-r', f'{self.client_params.account}:user:nonexistinguser'], exit_code=1) self.assertRegex(output, '403 Client Error') @integration_test(True) def test_list_combo_limit_and_kind_returns_specified_kind(self): self.invoke_cli(self.cli_auth_params, ['policy', 'load', '-b', 'root', '-f', self.environment.path_provider.get_policy_path("conjur")]) output = self.invoke_cli(self.cli_auth_params, ['list', '-l', '2', '-k', 'host']) self.assertIn(f'[\n "{self.client_params.account}:host:anotherhost",\n' f' "{self.client_params.account}:host:somehost"\n]\n', output) @integration_test() def test_list_combo_limit_and_offset_returns_specified_list(self): self.invoke_cli(self.cli_auth_params, ['policy', 'load', '-b', 'root', '-f', self.environment.path_provider.get_policy_path("conjur")]) output = self.invoke_cli(self.cli_auth_params, ['list', '-o', '2', '-l', '3']) self.assertIn(f'[\n "{self.client_params.account}:host:somehost",\n' f' "{self.client_params.account}:layer:somelayer",\n' f' "{self.client_params.account}:policy:root"\n]\n', output)

54.043011

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0.639806

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0.120571

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0.166029

0.761238

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0.740676

0.713879

0.675599

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0

0.00337

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false

0.033816

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0

1

0

1

0

null

0

5

a1d2a588d4942404dac45f5a8d80c3d88c6274df

2,612

py

Python

main.py

Chiki1601/Batman-drawing

216d9e4e3643c3aa92e92251f5193860f1dd606c

[ "Unlicense" ]

null

main.py

Chiki1601/Batman-drawing

216d9e4e3643c3aa92e92251f5193860f1dd606c

[ "Unlicense" ]

null

main.py

Chiki1601/Batman-drawing

216d9e4e3643c3aa92e92251f5193860f1dd606c

[ "Unlicense" ]

null

#bat man using python import turtle import math kalam = turtle.Turtle() kalam.speed(500) window = turtle.Screen() window.bgcolor("#000000") kalam.color("yellow") ankur = 20 kalam.left(90) kalam.penup() kalam.goto(-7 * ankur, 0) kalam.pendown() for a in range(-7 * ankur, -3 * ankur, 1): x = a / ankur rel = math.fabs(x) y = 1.5 * math.sqrt((-math.fabs(rel - 1)) * math.fabs(3 - rel) / ((rel - 1) * (3 - rel))) * ( 1 + math.fabs(rel - 3) / (rel - 3)) * math.sqrt(1 - (x / 7) ** 2) + ( 4.5 + 0.75 * (math.fabs(x - 0.5) + math.fabs(x + 0.5)) - 2.75 * ( math.fabs(x - 0.75) + math.fabs(x + 0.75))) * (1 + math.fabs(1 - rel) / (1 - rel)) kalam.goto(a, y * ankur) for a in range(-3 * ankur, -1 * ankur - 1, 1): x = a / ankur rel = math.fabs(x) y = (2.71052 + 1.5 - 0.5 * rel - 1.35526 * math.sqrt(4 - (rel - 1) ** 2)) * math.sqrt( math.fabs(rel - 1) / (rel - 1)) kalam.goto(a, y * ankur) kalam.goto(-1 * ankur, 3 * ankur) kalam.goto(int(-0.5 * ankur), int(2.2 * ankur)) kalam.goto(int(0.5 * ankur), int(2.2 * ankur)) kalam.goto(1 * ankur, 3 * ankur) print("Batman Logo with Python Turtle") for a in range(1 * ankur + 1, 3 * ankur + 1, 1): x = a / ankur rel = math.fabs(x) y = (2.71052 + 1.5 - 0.5 * rel - 1.35526 * math.sqrt(4 - (rel - 1) ** 2)) * math.sqrt( math.fabs(rel - 1) / (rel - 1)) kalam.goto(a, y * ankur) for a in range(3 * ankur + 1, 7 * ankur + 1, 1): x = a / ankur rel = math.fabs(x) y = 1.5 * math.sqrt((-math.fabs(rel - 1)) * math.fabs(3 - rel) / ((rel - 1) * (3 - rel))) * ( 1 + math.fabs(rel - 3) / (rel - 3)) * math.sqrt(1 - (x / 7) ** 2) + ( 4.5 + 0.75 * (math.fabs(x - 0.5) + math.fabs(x + 0.5)) - 2.75 * ( math.fabs(x - 0.75) + math.fabs(x + 0.75))) * (1 + math.fabs(1 - rel) / (1 - rel)) kalam.goto(a, y * ankur) for a in range(7 * ankur, 4 * ankur, -1): x = a / ankur rel = math.fabs(x) y = (-3) * math.sqrt(1 - (x / 7) ** 2) * math.sqrt(math.fabs(rel - 4) / (rel - 4)) kalam.goto(a, y * ankur) for a in range(4 * ankur, -4 * ankur, -1): x = a / ankur rel = math.fabs(x) y = math.fabs(x / 2) - 0.0913722 * x ** 2 - 3 + math.sqrt(1 - (math.fabs(rel - 2) - 1) ** 2) kalam.goto(a, y * ankur) for a in range(-4 * ankur - 1, -7 * ankur - 1, -1): x = a / ankur rel = math.fabs(x) y = (-3) * math.sqrt(1 - (x / 7) ** 2) * math.sqrt(math.fabs(rel - 4) / (rel - 4)) kalam.goto(a, y * ankur) kalam.penup() kalam.goto(300, 300) turtle.done()

33.063291

106

0.492726

462

2,612

2.785714

0.108225

0.180264

0.111888

0.06216

0.764569

0.746698

0.724942

0

0.105376

0.287902

2,612

78

107

33.487179

0.586559

0.007657

0

0.587302

0

0.016609

0

1

0

false

0

0.031746

0

0.031746

0.015873

0

null

0

1

0

null

0

5

a1d3a7445794ad7b7dfe82d5d8ee19e8703d25cb

40

py

Python

testing/assets/exp_syntax_error.py

ice-stuff/ice

151b741feb23275b4ebe40c3657df563f55cbfee

[ "MIT" ]

2

2015-03-06T20:22:48.000Z

2015-09-20T10:18:07.000Z

testing/assets/exp_syntax_error.py

glestaris/ice

151b741feb23275b4ebe40c3657df563f55cbfee

[ "MIT" ]

null

testing/assets/exp_syntax_error.py

glestaris/ice

151b741feb23275b4ebe40c3657df563f55cbfee

[ "MIT" ]

null

def this_is_not valid python: pass

10

29

0.725

7

40

3.857143

1

0

0.25

40

3

30

13.333333

0.9

0

null

0.5

0

null

0

1

0

null

0

1

0

null

0

1

0

1

0

5

a1e9986e5bf06289cd4dd089dbac5d440483ac6b

51

py

Python

ucdev/cy7c65211/__init__.py

vpetrigo/python-ucdev

d3606fd1244dfefef039c7c38acb8b4a1f086c29

[ "MIT" ]

11

2015-07-08T01:28:01.000Z

2022-01-26T14:29:47.000Z

ucdev/cy7c65211/__init__.py

vpetrigo/python-ucdev

d3606fd1244dfefef039c7c38acb8b4a1f086c29

[ "MIT" ]

5

2017-12-07T15:04:00.000Z

2021-06-02T14:47:14.000Z

ucdev/cy7c65211/__init__.py

vpetrigo/python-ucdev

d3606fd1244dfefef039c7c38acb8b4a1f086c29

[ "MIT" ]

4

2017-02-18T18:20:13.000Z

2022-03-23T16:21:20.000Z

# -*- coding: utf-8-unix -*- from .device import *

17

28

0.588235

7

51

4.285714

1

0

0.02381

0.176471

51

2

29

25.5

0.690476

0.509804

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

b80b27d224c954b748bcc8898633150a624746ca

468

py

Python

stacks/list_stack.py

fgoncalves/datastructures.python

91afd63c27b04855715f49dc94c46772ff89bb60

[ "MIT" ]

null

stacks/list_stack.py

fgoncalves/datastructures.python

91afd63c27b04855715f49dc94c46772ff89bb60

[ "MIT" ]

null

stacks/list_stack.py

fgoncalves/datastructures.python

91afd63c27b04855715f49dc94c46772ff89bb60

[ "MIT" ]

null

from .stack import Stack class ListStack(Stack): """ A stack backed up by a list. There's no limit to the stack's capacity """ def __init__(self): Stack.__init__(self) self.elements = list() def push(self, element): raise NotImplementedError() def pop(self): raise NotImplementedError() def peek(self): raise NotImplementedError() def is_empty(self): raise NotImplementedError()

21.272727

73

0.619658

54

468

5.203704

0.537037

0.341637

0.288256

0.220641

0

0.286325

468

22

74

21.272727

0.841317

0.147436

0

0.307692

0

1

0.384615

false

0

0.076923

0

0.538462

0

null

1

0

null

0

1

0

1

0

5

62d914ab67168870b0749b74ce7386d986722857

55

py

Python

my_script.py

EvgSkv/toyrepo

da9ef8e9e770472575a1e18cbb1a239991d109b0

[ "Apache-2.0" ]

1

2021-05-03T05:37:24.000Z

my_script.py

EvgSkv/toyrepo

da9ef8e9e770472575a1e18cbb1a239991d109b0

[ "Apache-2.0" ]

null

my_script.py

EvgSkv/toyrepo

da9ef8e9e770472575a1e18cbb1a239991d109b0

[ "Apache-2.0" ]

null

print("Hello, human! ~~~") print("How can I help you?")

27.5

28

0.618182

9

55

3.777778

0.888889

0

0.127273

55

2

28

27.5

0.708333

0

0.642857

0

1

0

true

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

62e352bdf1f384bb98d6eed0a42143cbcbd24c67

124

py

Python

server/testCGI.py

padlesky/Lab03

ec374222dcffc5cf9962771ccf2c988741c634da

[ "Apache-2.0" ]

null

server/testCGI.py

padlesky/Lab03

ec374222dcffc5cf9962771ccf2c988741c634da

[ "Apache-2.0" ]

null

server/testCGI.py

padlesky/Lab03

ec374222dcffc5cf9962771ccf2c988741c634da

[ "Apache-2.0" ]

null

#!/usr/bin/env python print "Content-type: text/html" print print "<title> Test CGI </title>" print "Hellow World!"

17.714286

33

0.677419

20

124

4.2

0.75

0

0.120968

124

6

34

20.666667

0.770642

0.16129

0

0.660194

0

null

0

null

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

1a0fa524f864cd8514898d22cc4beedc1fb52b3a

63

py

Python

__init__.py

anish175/anish_outlier

a53d2410553d09f73bdf7d027027bf3575484abf

[ "MIT" ]

null

__init__.py

anish175/anish_outlier

a53d2410553d09f73bdf7d027027bf3575484abf

[ "MIT" ]

null

__init__.py

anish175/anish_outlier

a53d2410553d09f73bdf7d027027bf3575484abf

[ "MIT" ]

null

from anish_101703072_outlier.outlier import outlier_row_removal

63

0.936508

9

63

6.111111

0.777778

0

0.15

0.047619

63

1

63

0.766667

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

a7e1d284df3568f073738af6e2ae77feb738785d

69

py

Python

helloworld.py

Douwanna/Douwanna

ebd7f47d4b25d93fed46c9d0ff6a263de26ccd56

[ "MIT" ]

1

2018-01-24T02:47:07.000Z

helloworld.py

Douwanna/Douwanna

ebd7f47d4b25d93fed46c9d0ff6a263de26ccd56

[ "MIT" ]

null

helloworld.py

Douwanna/Douwanna

ebd7f47d4b25d93fed46c9d0ff6a263de26ccd56

[ "MIT" ]

null

#coding=utf-8 print("hello world!") print('Welcome to a new world!')

17.25

32

0.695652

12

69

4

0.833333

0

0.016393

0.115942

69

4

32

17.25

0.770492

0.173913

0

0.614035

0

1

0

true

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

a7f4fd4f578061b465a13b62c3d0684802480480

32,758

py

Python

tests/agent_features/test_asgi_browser.py

bradleycamacho/newrelic-python-agent

d41fb461e7a4eb428fa85b0abc21734814bd7390

[ "Apache-2.0" ]

null

tests/agent_features/test_asgi_browser.py

bradleycamacho/newrelic-python-agent

d41fb461e7a4eb428fa85b0abc21734814bd7390

[ "Apache-2.0" ]

null

tests/agent_features/test_asgi_browser.py

bradleycamacho/newrelic-python-agent

d41fb461e7a4eb428fa85b0abc21734814bd7390

[ "Apache-2.0" ]

null

# Copyright 2010 New Relic, Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import sys import json import pytest import six from testing_support.fixtures import (override_application_settings, validate_transaction_errors, validate_custom_parameters) from testing_support.asgi_testing import AsgiTest from newrelic.api.application import application_settings from newrelic.api.transaction import (get_browser_timing_header, get_browser_timing_footer, add_custom_parameter, disable_browser_autorum) from newrelic.api.asgi_application import asgi_application from newrelic.common.encoding_utils import deobfuscate from bs4 import BeautifulSoup _runtime_error_name = (RuntimeError.__module__ + ':' + RuntimeError.__name__) @asgi_application() async def target_asgi_application_manual_rum(scope, receive, send): text = '<html><head>%s</head><body>RESPONSE%s</body></html>' output = (text % (get_browser_timing_header(), get_browser_timing_footer())).encode('UTF-8') response_headers = [(b'content-type', b'text/html; charset=utf-8'), (b'content-length', str(len(output)).encode('utf-8'))] await send({"type": "http.response.start", "status": 200, "headers": response_headers}) await send({"type": "http.response.body", "body": output}) target_application_manual_rum = AsgiTest(target_asgi_application_manual_rum) _test_footer_attributes = { 'browser_monitoring.enabled': True, 'browser_monitoring.auto_instrument': False, 'js_agent_loader': u'', } @override_application_settings(_test_footer_attributes) def test_footer_attributes(): settings = application_settings() assert settings.browser_monitoring.enabled assert settings.browser_key assert settings.browser_monitoring.loader_version assert settings.js_agent_loader assert isinstance(settings.js_agent_file, six.string_types) assert settings.beacon assert settings.error_beacon token = '0123456789ABCDEF' headers = { 'Cookie': 'NRAGENT=tk=%s' % token } response = target_application_manual_rum.get('/', headers=headers) html = BeautifulSoup(response.body, 'html.parser') header = html.html.head.script.string content = html.html.body.p.string footer = html.html.body.script.string # Validate actual body content. assert content == 'RESPONSE' # Validate the insertion of RUM header. assert header.find('NREUM HEADER') != -1 # Now validate the various fields of the footer. The fields are # held by a JSON dictionary. data = json.loads(footer.split('NREUM.info=')[1]) assert data['licenseKey'] == settings.browser_key assert data['applicationID'] == settings.application_id assert data['agent'] == settings.js_agent_file assert data['beacon'] == settings.beacon assert data['errorBeacon'] == settings.error_beacon assert data['applicationTime'] >= 0 assert data['queueTime'] >= 0 obfuscation_key = settings.license_key[:13] assert type(data['transactionName']) == type(u'') txn_name = deobfuscate(data['transactionName'], obfuscation_key) assert txn_name == u'WebTransaction/Uri/' assert 'atts' not in data _test_rum_ssl_for_http_is_none = { 'browser_monitoring.enabled': True, 'browser_monitoring.auto_instrument': False, 'browser_monitoring.ssl_for_http': None, 'js_agent_loader': u'', } @override_application_settings(_test_rum_ssl_for_http_is_none) def test_ssl_for_http_is_none(): settings = application_settings() assert settings.browser_monitoring.ssl_for_http is None response = target_application_manual_rum.get('/') html = BeautifulSoup(response.body, 'html.parser') footer = html.html.body.script.string data = json.loads(footer.split('NREUM.info=')[1]) assert 'sslForHttp' not in data _test_rum_ssl_for_http_is_true = { 'browser_monitoring.enabled': True, 'browser_monitoring.auto_instrument': False, 'browser_monitoring.ssl_for_http': True, 'js_agent_loader': u'', } @override_application_settings(_test_rum_ssl_for_http_is_true) def test_ssl_for_http_is_true(): settings = application_settings() assert settings.browser_monitoring.ssl_for_http is True response = target_application_manual_rum.get('/') html = BeautifulSoup(response.body, 'html.parser') footer = html.html.body.script.string data = json.loads(footer.split('NREUM.info=')[1]) assert data['sslForHttp'] is True _test_rum_ssl_for_http_is_false = { 'browser_monitoring.enabled': True, 'browser_monitoring.auto_instrument': False, 'browser_monitoring.ssl_for_http': False, 'js_agent_loader': u'', } @override_application_settings(_test_rum_ssl_for_http_is_false) def test_ssl_for_http_is_false(): settings = application_settings() assert settings.browser_monitoring.ssl_for_http is False response = target_application_manual_rum.get('/') html = BeautifulSoup(response.body, 'html.parser') footer = html.html.body.script.string data = json.loads(footer.split('NREUM.info=')[1]) assert data['sslForHttp'] is False @asgi_application() async def target_asgi_application_yield_single_no_head(scope, receive, send): output = b'<html><body>RESPONSE</body></html>' response_headers = [(b'content-type', b'text/html; charset=utf-8'), (b'content-length', str(len(output)).encode('utf-8'))] await send({"type": "http.response.start", "status": 200, "headers": response_headers}) await send({"type": "http.response.body", "body": output}) target_application_yield_single_no_head = AsgiTest( target_asgi_application_yield_single_no_head) _test_html_insertion_yield_single_no_head_settings = { 'browser_monitoring.enabled': True, 'browser_monitoring.auto_instrument': True, 'js_agent_loader': u'', } @override_application_settings(_test_html_insertion_yield_single_no_head_settings) def test_html_insertion_yield_single_no_head(): response = target_application_yield_single_no_head.get('/') assert response.status == 200 assert 'content-type' in response.headers assert 'content-length' in response.headers # The 'NREUM HEADER' value comes from our override for the header. # The 'NREUM.info' value comes from the programmatically generated # footer added by the agent. assert b'NREUM HEADER' in response.body assert b'NREUM.info' in response.body @asgi_application() async def target_asgi_application_yield_multi_no_head(scope, receive, send): output = [ b'<html>', b'<body>RESPONSE</body></html>' ] response_headers = [(b'content-type', b'text/html; charset=utf-8'), (b'content-length', str(len(b''.join(output))).encode('utf-8'))] await send({"type": "http.response.start", "status": 200, "headers": response_headers}) for data in output: more_body = data is not output[-1] await send({"type": "http.response.body", "body": data, "more_body": more_body}) target_application_yield_multi_no_head = AsgiTest( target_asgi_application_yield_multi_no_head) _test_html_insertion_yield_multi_no_head_settings = { 'browser_monitoring.enabled': True, 'browser_monitoring.auto_instrument': True, 'js_agent_loader': u'', } @override_application_settings(_test_html_insertion_yield_multi_no_head_settings) def test_html_insertion_yield_multi_no_head(): response = target_application_yield_multi_no_head.get('/') assert response.status == 200 assert 'content-type' in response.headers assert 'content-length' in response.headers # The 'NREUM HEADER' value comes from our override for the header. # The 'NREUM.info' value comes from the programmatically generated # footer added by the agent. assert b'NREUM HEADER' in response.body assert b'NREUM.info' in response.body @asgi_application() async def target_asgi_application_unnamed_attachment_header(scope, receive, send): output = b'<html><body>RESPONSE</body></html>' response_headers = [(b'content-type', b'text/html; charset=utf-8'), (b'content-length', str(len(output)).encode('utf-8')), (b'content-disposition', b'attachment')] await send({"type": "http.response.start", "status": 200, "headers": response_headers}) await send({"type": "http.response.body", "body": output}) target_application_unnamed_attachment_header = AsgiTest( target_asgi_application_unnamed_attachment_header) _test_html_insertion_unnamed_attachment_header_settings = { 'browser_monitoring.enabled': True, 'browser_monitoring.auto_instrument': True, 'js_agent_loader': u'', } @override_application_settings( _test_html_insertion_unnamed_attachment_header_settings) def test_html_insertion_unnamed_attachment_header(): response = target_application_unnamed_attachment_header.get('/') assert response.status == 200 assert 'content-type' in response.headers assert 'content-length' in response.headers assert 'content-disposition' in response.headers # The 'NREUM HEADER' value comes from our override for the header. # The 'NREUM.info' value comes from the programmatically generated # footer added by the agent. assert b'NREUM HEADER' not in response.body assert b'NREUM.info' not in response.body @asgi_application() async def target_asgi_application_named_attachment_header(scope, receive, send): output = b'<html><body>RESPONSE</body></html>' response_headers = [(b'content-type', b'text/html; charset=utf-8'), (b'content-length', str(len(output)).encode('utf-8')), (b'content-disposition', b'Attachment; filename="X"')] await send({"type": "http.response.start", "status": 200, "headers": response_headers}) await send({"type": "http.response.body", "body": output}) target_application_named_attachment_header = AsgiTest( target_asgi_application_named_attachment_header) _test_html_insertion_named_attachment_header_settings = { 'browser_monitoring.enabled': True, 'browser_monitoring.auto_instrument': True, 'js_agent_loader': u'', } @override_application_settings( _test_html_insertion_named_attachment_header_settings) def test_html_insertion_named_attachment_header(): response = target_application_named_attachment_header.get('/') assert response.status == 200 assert 'content-type' in response.headers assert 'content-length' in response.headers assert 'content-disposition' in response.headers # The 'NREUM HEADER' value comes from our override for the header. # The 'NREUM.info' value comes from the programmatically generated # footer added by the agent. assert b'NREUM HEADER' not in response.body assert b'NREUM.info' not in response.body @asgi_application() async def target_asgi_application_inline_attachment_header(scope, receive, send): output = b'<html><body>RESPONSE</body></html>' response_headers = [(b'content-type', b'text/html; charset=utf-8'), (b'content-length', str(len(output)).encode('utf-8')), (b'content-disposition', b'inline; filename="attachment"')] await send({"type": "http.response.start", "status": 200, "headers": response_headers}) await send({"type": "http.response.body", "body": output}) target_application_inline_attachment_header = AsgiTest( target_asgi_application_inline_attachment_header) _test_html_insertion_inline_attachment_header_settings = { 'browser_monitoring.enabled': True, 'browser_monitoring.auto_instrument': True, 'js_agent_loader': u'', } @override_application_settings( _test_html_insertion_inline_attachment_header_settings) def test_html_insertion_inline_attachment_header(): response = target_application_inline_attachment_header.get('/') assert response.status == 200 assert 'content-type' in response.headers assert 'content-length' in response.headers assert 'content-disposition' in response.headers # The 'NREUM HEADER' value comes from our override for the header. # The 'NREUM.info' value comes from the programmatically generated # footer added by the agent. assert b'NREUM HEADER' in response.body assert b'NREUM.info' in response.body @asgi_application() async def target_asgi_application_empty(scope, receive, send): status = '200 OK' response_headers = [(b'content-type', b'text/html; charset=utf-8'), (b'content-length', b'0')] await send({"type": "http.response.start", "status": 200, "headers": response_headers}) await send({"type": "http.response.body"}) target_application_empty = AsgiTest( target_asgi_application_empty) _test_html_insertion_empty_settings = { 'browser_monitoring.enabled': True, 'browser_monitoring.auto_instrument': True, 'js_agent_loader': u'', } @override_application_settings( _test_html_insertion_empty_settings) def test_html_insertion_empty(): response = target_application_empty.get('/') assert response.status == 200 assert 'content-type' in response.headers assert 'content-length' in response.headers # The 'NREUM HEADER' value comes from our override for the header. # The 'NREUM.info' value comes from the programmatically generated # footer added by the agent. assert b'NREUM HEADER' not in response.body assert b'NREUM.info' not in response.body assert len(response.body) == 0 @asgi_application() async def target_asgi_application_single_empty_string(scope, receive, send): response_headers = [(b'content-type', b'text/html; charset=utf-8'), (b'content-length', b'0')] await send({"type": "http.response.start", "status": 200, "headers": response_headers}) await send({"type": "http.response.body", "body": b""}) target_application_single_empty_string = AsgiTest( target_asgi_application_single_empty_string) _test_html_insertion_single_empty_string_settings = { 'browser_monitoring.enabled': True, 'browser_monitoring.auto_instrument': True, 'js_agent_loader': u'', } @override_application_settings( _test_html_insertion_single_empty_string_settings) def test_html_insertion_single_empty_string(): response = target_application_single_empty_string.get('/') assert response.status == 200 assert 'content-type' in response.headers assert 'content-length' in response.headers # The 'NREUM HEADER' value comes from our override for the header. # The 'NREUM.info' value comes from the programmatically generated # footer added by the agent. assert b'NREUM HEADER' not in response.body assert b'NREUM.info' not in response.body assert len(response.body) == 0 @asgi_application() async def target_asgi_application_multiple_empty_string(scope, receive, send): response_headers = [(b'content-type', b'text/html; charset=utf-8'), (b'content-length', b'0')] await send({"type": "http.response.start", "status": 200, "headers": response_headers}) await send({"type": "http.response.body", "body": b"", "more_body": True}) await send({"type": "http.response.body", "body": b""}) target_application_multiple_empty_string = AsgiTest( target_asgi_application_multiple_empty_string) _test_html_insertion_multiple_empty_string_settings = { 'browser_monitoring.enabled': True, 'browser_monitoring.auto_instrument': True, 'js_agent_loader': u'', } @override_application_settings( _test_html_insertion_multiple_empty_string_settings) def test_html_insertion_multiple_empty_string(): response = target_application_multiple_empty_string.get('/') assert response.status == 200 assert 'content-type' in response.headers assert 'content-length' in response.headers # The 'NREUM HEADER' value comes from our override for the header. # The 'NREUM.info' value comes from the programmatically generated # footer added by the agent. assert b'NREUM HEADER' not in response.body assert b'NREUM.info' not in response.body assert len(response.body) == 0 @asgi_application() async def target_asgi_application_single_large_prelude(scope, receive, send): output = 64*1024*b' ' + b'<body></body>' response_headers = [(b'content-type', b'text/html; charset=utf-8'), (b'content-length', str(len(output)).encode("utf-8"))] await send({"type": "http.response.start", "status": 200, "headers": response_headers}) await send({"type": "http.response.body", "body": output}) target_application_single_large_prelude = AsgiTest( target_asgi_application_single_large_prelude) _test_html_insertion_single_large_prelude_settings = { 'browser_monitoring.enabled': True, 'browser_monitoring.auto_instrument': True, 'js_agent_loader': u'', } @override_application_settings( _test_html_insertion_single_large_prelude_settings) def test_html_insertion_single_large_prelude(): response = target_application_single_large_prelude.get('/') assert response.status == 200 # The 'NREUM HEADER' value comes from our override for the header. # The 'NREUM.info' value comes from the programmatically generated # footer added by the agent. assert 'content-type' in response.headers assert 'content-length' in response.headers assert b'NREUM HEADER' not in response.body assert b'NREUM.info' not in response.body output = [32*1024*b' ', 32*1024*b' ', b'<body></body>'] assert len(response.body) == len(b''.join(output)) @asgi_application() async def target_asgi_application_multi_large_prelude(scope, receive, send): output = [32*1024*b' ', 32*1024*b' ', b'<body></body>'] response_headers = [(b'content-type', b'text/html; charset=utf-8'), (b'content-length', str(len(b''.join(output))).encode("utf-8"))] await send({"type": "http.response.start", "status": 200, "headers": response_headers}) for data in output: more_body = data is not output[-1] await send({"type": "http.response.body", "body": data, "more_body": more_body}) target_application_multi_large_prelude = AsgiTest( target_asgi_application_multi_large_prelude) _test_html_insertion_multi_large_prelude_settings = { 'browser_monitoring.enabled': True, 'browser_monitoring.auto_instrument': True, 'js_agent_loader': u'', } @override_application_settings( _test_html_insertion_multi_large_prelude_settings) def test_html_insertion_multi_large_prelude(): response = target_application_multi_large_prelude.get('/') assert response.status == 200 # The 'NREUM HEADER' value comes from our override for the header. # The 'NREUM.info' value comes from the programmatically generated # footer added by the agent. assert 'content-type' in response.headers assert 'content-length' in response.headers assert b'NREUM HEADER' not in response.body assert b'NREUM.info' not in response.body output = [32*1024*b' ', 32*1024*b' ', b'<body></body>'] assert len(response.body) == len(b''.join(output)) @asgi_application() async def target_asgi_application_yield_before_start(scope, receive, send): # This is not legal but we should see what happens with our middleware await send({"type": "http.response.body", "body": b"", "more_body": True}) output = b'<html><body>RESPONSE</body></html>' response_headers = [(b'content-type', b'text/html; charset=utf-8'), (b'content-length', str(len(output)).encode("utf-8"))] await send({"type": "http.response.start", "status": 200, "headers": response_headers}) await send({"type": "http.response.body", "body": output}) target_application_yield_before_start = AsgiTest( target_asgi_application_yield_before_start) _test_html_insertion_yield_before_start_settings = { 'browser_monitoring.enabled': True, 'browser_monitoring.auto_instrument': True, 'js_agent_loader': u'', } @override_application_settings(_test_html_insertion_yield_before_start_settings) def test_html_insertion_yield_before_start(): # The application should complete as pass through, but an assertion error # would be raised in the AsgiTest class with pytest.raises(AssertionError): target_application_yield_before_start.get('/') @asgi_application() async def target_asgi_application_start_yield_start(scope, receive, send): output = b'<html><body>RESPONSE</body></html>' response_headers = [(b'content-type', b'text/html; charset=utf-8'), (b'content-length', str(len(output)).encode("utf-8"))] await send({"type": "http.response.start", "status": 200, "headers": response_headers}) await send({"type": "http.response.body", "body": b""}) await send({"type": "http.response.start", "status": 200, "headers": response_headers}) target_application_start_yield_start = AsgiTest( target_asgi_application_start_yield_start) _test_html_insertion_start_yield_start_settings = { 'browser_monitoring.enabled': True, 'browser_monitoring.auto_instrument': True, 'js_agent_loader': u'', } @override_application_settings(_test_html_insertion_start_yield_start_settings) def test_html_insertion_start_yield_start(): # The application should complete as pass through, but an assertion error # would be raised in the AsgiTest class with pytest.raises(AssertionError): target_application_start_yield_start.get('/') @asgi_application() async def target_asgi_application_invalid_content_length(scope, receive, send): output = b'<html><body>RESPONSE</body></html>' response_headers = [(b'content-type', b'text/html; charset=utf-8'), (b'content-length', b'XXX')] await send({"type": "http.response.start", "status": 200, "headers": response_headers}) await send({"type": "http.response.body", "body": output}) target_application_invalid_content_length = AsgiTest( target_asgi_application_invalid_content_length) _test_html_insertion_invalid_content_length_settings = { 'browser_monitoring.enabled': True, 'browser_monitoring.auto_instrument': True, 'js_agent_loader': u'', } @override_application_settings(_test_html_insertion_invalid_content_length_settings) def test_html_insertion_invalid_content_length(): response = target_application_invalid_content_length.get('/') assert response.status == 200 assert 'content-type' in response.headers assert 'content-length' in response.headers assert response.headers['content-length'] == 'XXX' assert b'NREUM HEADER' not in response.body assert b'NREUM.info' not in response.body @asgi_application() async def target_asgi_application_content_encoding(scope, receive, send): output = b'<html><body>RESPONSE</body></html>' response_headers = [(b'content-type', b'text/html; charset=utf-8'), (b'content-length', str(len(output)).encode("utf-8")), (b'content-encoding', b'identity')] await send({"type": "http.response.start", "status": 200, "headers": response_headers}) await send({"type": "http.response.body", "body": output}) target_application_content_encoding = AsgiTest( target_asgi_application_content_encoding) _test_html_insertion_content_encoding_settings = { 'browser_monitoring.enabled': True, 'browser_monitoring.auto_instrument': True, 'js_agent_loader': u'', } @override_application_settings(_test_html_insertion_content_encoding_settings) def test_html_insertion_content_encoding(): response = target_application_content_encoding.get('/') assert response.status == 200 # Technically 'identity' should not be used in Content-Encoding # but clients will still accept it. Use this fact to disable auto # RUM for this test. Other option is to compress the response # and use 'gzip'. assert 'content-type' in response.headers assert 'content-length' in response.headers assert response.headers['content-encoding'] == 'identity' assert b'NREUM HEADER' not in response.body assert b'NREUM.info' not in response.body @asgi_application() async def target_asgi_application_no_content_type(scope, receive, send): output = b'<html><body>RESPONSE</body></html>' response_headers = [(b'content-length', str(len(output)).encode("utf-8"))] await send({"type": "http.response.start", "status": 200, "headers": response_headers}) await send({"type": "http.response.body", "body": output}) target_application_no_content_type = AsgiTest( target_asgi_application_no_content_type) _test_html_insertion_no_content_type_settings = { 'browser_monitoring.enabled': True, 'browser_monitoring.auto_instrument': True, 'js_agent_loader': u'', } @override_application_settings(_test_html_insertion_no_content_type_settings) def test_html_insertion_no_content_type(): response = target_application_no_content_type.get('/') assert response.status == 200 assert 'content-type' not in response.headers assert 'content-length' in response.headers assert b'NREUM HEADER' not in response.body assert b'NREUM.info' not in response.body @asgi_application() async def target_asgi_application_plain_text(scope, receive, send): output = b'RESPONSE' response_headers = [ (b'content-type', b'text/plain'), (b'content-length', str(len(output)).encode("utf-8"))] await send({"type": "http.response.start", "status": 200, "headers": response_headers}) await send({"type": "http.response.body", "body": output}) target_application_plain_text = AsgiTest( target_asgi_application_plain_text) _test_html_insertion_plain_text_settings = { 'browser_monitoring.enabled': True, 'browser_monitoring.auto_instrument': True, 'js_agent_loader': u'', } @override_application_settings(_test_html_insertion_plain_text_settings) def test_html_insertion_plain_text(): response = target_application_plain_text.get('/') assert response.status == 200 assert 'content-type' in response.headers assert 'content-length' in response.headers assert b'NREUM HEADER' not in response.body assert b'NREUM.info' not in response.body @asgi_application() async def target_asgi_application_param_on_close(scope, receive, send): output = b'<html><body>RESPONSE</body></html>' response_headers = [ (b'content-type', b'text/html; charset=utf-8'), (b'content-length', str(len(output)).encode("utf-8"))] await send({"type": "http.response.start", "status": 200, "headers": response_headers}) try: await send({"type": "http.response.body", "body": output}) return finally: add_custom_parameter('key', 'value') target_application_param_on_close = AsgiTest( target_asgi_application_param_on_close) _test_html_insertion_param_on_close_settings = { 'browser_monitoring.enabled': True, 'browser_monitoring.auto_instrument': True, 'js_agent_loader': u'', } @override_application_settings(_test_html_insertion_param_on_close_settings) @validate_custom_parameters(required_params=[('key', 'value')]) def test_html_insertion_param_on_close(): response = target_application_param_on_close.get('/') assert response.status == 200 assert b'NREUM HEADER' in response.body assert b'NREUM.info' in response.body @asgi_application() async def target_asgi_application_param_on_error(scope, receive, send): output = b'<html><body>RESPONSE</body></html>' response_headers = [ (b'content-type', b'text/html; charset=utf-8'), (b'content-length', str(len(output)).encode("utf-8"))] await send({"type": "http.response.start", "status": 200, "headers": response_headers}) try: raise RuntimeError('ERROR') finally: add_custom_parameter('key', 'value') target_application_param_on_error = AsgiTest( target_asgi_application_param_on_error) _test_html_insertion_param_on_error_settings = { 'browser_monitoring.enabled': True, 'browser_monitoring.auto_instrument': True, 'js_agent_loader': u'', } @override_application_settings(_test_html_insertion_param_on_error_settings) @validate_transaction_errors(errors=[_runtime_error_name]) @validate_custom_parameters(required_params=[('key', 'value')]) def test_html_insertion_param_on_error(): try: target_application_param_on_error.get('/') except RuntimeError: pass @asgi_application() async def target_asgi_application_disable_autorum_via_api(scope, receive, send): output = b'<html><body>RESPONSE</body></html>' disable_browser_autorum() response_headers = [(b'content-type', b'text/html; charset=utf-8'), (b'content-length', str(len(output)).encode("utf-8"))] await send({"type": "http.response.start", "status": 200, "headers": response_headers}) await send({"type": "http.response.body", "body": output}) target_application_disable_autorum_via_api = AsgiTest( target_asgi_application_disable_autorum_via_api) _test_html_insertion_disable_autorum_via_api_settings = { 'browser_monitoring.enabled': True, 'browser_monitoring.auto_instrument': True, 'js_agent_loader': u'', } @override_application_settings( _test_html_insertion_disable_autorum_via_api_settings) def test_html_insertion_disable_autorum_via_api(): response = target_application_disable_autorum_via_api.get('/') assert response.status == 200 assert 'content-type' in response.headers assert 'content-length' in response.headers # The 'NREUM HEADER' value comes from our override for the header. # The 'NREUM.info' value comes from the programmatically generated # footer added by the agent. assert b'NREUM HEADER' not in response.body assert b'NREUM.info' not in response.body @asgi_application() async def target_asgi_application_manual_rum_insertion(scope, receive, send): output = b'<html><body>RESPONSE</body></html>' header = get_browser_timing_header() footer = get_browser_timing_footer() header = get_browser_timing_header() footer = get_browser_timing_footer() assert header == '' assert footer == '' response_headers = [(b'content-type', b'text/html; charset=utf-8'), (b'content-length', str(len(output)).encode("utf-8"))] await send({"type": "http.response.start", "status": 200, "headers": response_headers}) await send({"type": "http.response.body", "body": output}) target_application_manual_rum_insertion = AsgiTest( target_asgi_application_manual_rum_insertion) _test_html_insertion_manual_rum_insertion_settings = { 'browser_monitoring.enabled': True, 'browser_monitoring.auto_instrument': True, 'js_agent_loader': u'', } @override_application_settings( _test_html_insertion_manual_rum_insertion_settings) def test_html_insertion_manual_rum_insertion(): response = target_application_manual_rum_insertion.get('/') assert response.status == 200 assert 'content-type' in response.headers assert 'content-length' in response.headers # The 'NREUM HEADER' value comes from our override for the header. # The 'NREUM.info' value comes from the programmatically generated # footer added by the agent. assert b'NREUM HEADER' not in response.body assert b'NREUM.info' not in response.body

37.480549

91

0.723335

4,201

32,758

5.361343

0.062128

0.053279

0.045287

0.033211

0.879279

0.841229

0.767482

0.711761

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0.156115

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null

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null

0

5

a7fba8dd77e87ad1b06a627871af64f972741a90

69

py

Python

SVM Classification/svm_code/svm_class/__init__.py

herr-kistler/machine-learning

1ec88fbafec6a0ccbfe788b462c804b8e981d851

[ "MIT" ]

1

2020-04-08T06:23:47.000Z

SVM Classification/svm_code/svm_class/__init__.py

herr-kistler/machine-learning

1ec88fbafec6a0ccbfe788b462c804b8e981d851

[ "MIT" ]

null

SVM Classification/svm_code/svm_class/__init__.py

herr-kistler/machine-learning

1ec88fbafec6a0ccbfe788b462c804b8e981d851

[ "MIT" ]

null

from .svm import SVMTrainer, SVMPredictor from .kernel import Kernel

23

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0.826087

9

69

6.333333

0.666667

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0.130435

69

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1

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1

0

5

c502ce08bcf5237aa0039d5c0c80fa59fe3c098c

127

py

Python

disvoice/articulation/__init__.py

jcvasquezc/Disvoice

ed9dbd42c3f01f041f90848f96004be8ebb78d8d

[ "MIT" ]

null

disvoice/articulation/__init__.py

jcvasquezc/Disvoice

ed9dbd42c3f01f041f90848f96004be8ebb78d8d

[ "MIT" ]

null

disvoice/articulation/__init__.py

jcvasquezc/Disvoice

ed9dbd42c3f01f041f90848f96004be8ebb78d8d

[ "MIT" ]

null

# -*- coding: utf-8 -*- from .articulation import Articulation from .articulation_functions import * __all__=["Articulation"]

21.166667

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null

0

1

0

1

0

5

c5247f9bbbac6e9d128d677382c6cde793165c5a

156

py

Python

office365/outlook/mail/mailbox_settings.py

rikeshtailor/Office365-REST-Python-Client

ca7bfa1b22212137bb4e984c0457632163e89a43

[ "MIT" ]

null

office365/outlook/mail/mailbox_settings.py

rikeshtailor/Office365-REST-Python-Client

ca7bfa1b22212137bb4e984c0457632163e89a43

[ "MIT" ]

null

office365/outlook/mail/mailbox_settings.py

rikeshtailor/Office365-REST-Python-Client

ca7bfa1b22212137bb4e984c0457632163e89a43

[ "MIT" ]

null

from office365.runtime.client_value import ClientValue class MailboxSettings(ClientValue): """Settings for the primary mailbox of a user.""" pass

22.285714

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c556ddb4ab114e2577a986c282600fd08579d625

62

py

Python

winejournal/blueprints/categories/__init__.py

rickandersonaia/wine-journal

9664c8ed8df9eb853562c500e888490a61a6e44d

[ "CC-BY-4.0" ]

null

winejournal/blueprints/categories/__init__.py

rickandersonaia/wine-journal

9664c8ed8df9eb853562c500e888490a61a6e44d

[ "CC-BY-4.0" ]

5

2021-02-08T20:22:06.000Z

2021-09-07T23:52:33.000Z

winejournal/blueprints/categories/__init__.py

rickandersonaia/wine-journal

9664c8ed8df9eb853562c500e888490a61a6e44d

[ "CC-BY-4.0" ]

2

2018-06-27T15:03:38.000Z

2020-03-14T15:40:34.000Z

from winejournal.blueprints.categories.views import categories

62

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5

c56fdf1a222a53558fe508011166458e152eb33c

16,198

py

Python

src/datamgr/metadata/metadata_biz/types/entities/by_biz/data_model.py

Chromico/bk-base

be822d9bbee544a958bed4831348185a75604791

[ "MIT" ]

84

2021-06-30T06:20:23.000Z

2022-03-22T03:05:49.000Z

src/datamgr/metadata/metadata_biz/types/entities/by_biz/data_model.py

Chromico/bk-base

be822d9bbee544a958bed4831348185a75604791

[ "MIT" ]

7

2021-06-30T06:21:16.000Z

2022-03-29T07:36:13.000Z

src/datamgr/metadata/metadata_biz/types/entities/by_biz/data_model.py

Chromico/bk-base

be822d9bbee544a958bed4831348185a75604791

[ "MIT" ]

40

2021-06-30T06:21:26.000Z

2022-03-29T12:42:26.000Z

# -*- coding: utf-8 -*- """ Tencent is pleased to support the open source community by making BK-BASE 蓝鲸基础平台 available. Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved. BK-BASE 蓝鲸基础平台 is licensed under the MIT License. License for BK-BASE 蓝鲸基础平台: -------------------------------------------------------------------- Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. """ import sys from datetime import datetime import attr from metadata.type_system.basic_type import AddOn, Entity, Relation from metadata.type_system.core import as_metadata from metadata_biz.types.entities.add_on import FieldTypeConfig from metadata_biz.types.entities.data_set import DataSet, ResultTable from metadata_biz.types.entities.management import ProjectInfo python_string_type = str default_json = '{}' @as_metadata @attr.s class DmmModelInfo(Entity): model_id = attr.ib(type=int, metadata={'identifier': True, 'dgraph': {'index': ['int']}}) model_name = attr.ib(type=python_string_type, metadata={'dgraph': {'index': ['exact', 'trigram']}}) model_alias = attr.ib(type=python_string_type) model_type = attr.ib(type=python_string_type) project_id = attr.ib(type=int) project = attr.ib(type=ProjectInfo) description = attr.ib(type=python_string_type) created_by = attr.ib(type=python_string_type, metadata={'dgraph': {'index': ['exact', 'trigram']}}) updated_by = attr.ib(type=python_string_type, metadata={'dgraph': {'index': ['exact', 'trigram']}}) table_name = attr.ib(type=python_string_type, metadata={'dgraph': {'index': ['exact', 'trigram']}}) table_alias = attr.ib(type=python_string_type) latest_version_id = attr.ib(type=python_string_type) publish_status = attr.ib(type=python_string_type, metadata={'dgraph': {'index': ['exact']}}) active_status = attr.ib(type=python_string_type, default='active', metadata={'dgraph': {'index': ['exact']}}) step_id = attr.ib(type=int, default=0) created_at = attr.ib(type=datetime, factory=datetime.now) updated_at = attr.ib(type=datetime, factory=datetime.now) @as_metadata @attr.s class DmmModelField(AddOn): """ 数据模型字段 """ id = attr.ib(type=int, metadata={'identifier': True, 'dgraph': {'index': ['int']}}) model_id = attr.ib(type=int) model = attr.ib(type=DmmModelInfo) field_name = attr.ib(type=python_string_type) field_alias = attr.ib(type=python_string_type) field_type = attr.ib(type=python_string_type) field_type_obj = attr.ib(type=FieldTypeConfig) field_category = attr.ib(type=python_string_type) is_primary_key = attr.ib(type=bool) description = attr.ib(type=python_string_type) field_constraint_content = attr.ib(type=python_string_type) field_clean_content = attr.ib(type=python_string_type) origin_fields = attr.ib(type=python_string_type) field_index = attr.ib(type=int) source_model_id = attr.ib(type=int) source_model = attr.ib(type=DmmModelInfo) source_field_name = attr.ib(type=python_string_type) created_by = attr.ib(type=python_string_type, metadata={'dgraph': {'index': ['exact', 'trigram']}}) updated_by = attr.ib(type=python_string_type, metadata={'dgraph': {'index': ['exact', 'trigram']}}) created_at = attr.ib(type=datetime, factory=datetime.now) updated_at = attr.ib(type=datetime, factory=datetime.now) @as_metadata @attr.s class DmmModelTop(DataSet): """ 数据模型用户置顶表 """ id = attr.ib(type=int, metadata={'identifier': True, 'dgraph': {'index': ['int']}}) model_id = attr.ib(type=int) model = attr.ib(type=DmmModelInfo) created_by = attr.ib(type=python_string_type, metadata={'dgraph': {'index': ['exact', 'trigram']}}) updated_by = attr.ib(type=python_string_type, metadata={'dgraph': {'index': ['exact', 'trigram']}}) created_at = attr.ib(type=datetime, factory=datetime.now) updated_at = attr.ib(type=datetime, factory=datetime.now) @as_metadata @attr.s class DmmFieldConstraintConfig(AddOn): """ 字段约束表 """ constraint_id = attr.ib(type=python_string_type, metadata={'identifier': True, 'dgraph': {'index': ['exact']}}) constraint_type = attr.ib(type=python_string_type, metadata={'dgraph': {'index': ['exact']}}) constraint_name = attr.ib(type=python_string_type) constraint_value = attr.ib(type=python_string_type) validator = attr.ib(type=python_string_type) description = attr.ib(type=python_string_type) editable = attr.ib(type=bool) allow_field_type = attr.ib(type=python_string_type) @as_metadata @attr.s class DmmModelRelation(Relation): """ 数据模型关系表 """ id = attr.ib(type=int, metadata={'identifier': True, 'dgraph': {'index': ['int']}}) model_id = attr.ib(type=int, metadata={'dgraph': {'index': ['int']}}) model = attr.ib(type=DmmModelInfo) field_name = attr.ib(type=python_string_type) related_model_id = attr.ib(type=int) related_model = attr.ib(type=DmmModelInfo) related_field_name = attr.ib(type=python_string_type) related_model_version_id = attr.ib(type=python_string_type) created_by = attr.ib(type=python_string_type, metadata={'dgraph': {'index': ['exact', 'trigram']}}) updated_by = attr.ib(type=python_string_type, metadata={'dgraph': {'index': ['exact', 'trigram']}}) related_method = attr.ib(type=python_string_type, default='left-join') created_at = attr.ib(type=datetime, factory=datetime.now) updated_at = attr.ib(type=datetime, factory=datetime.now) @as_metadata @attr.s class DmmModelRelease(Entity): """ 数据模型发布记录 """ __tablename__ = 'dmm_model_release' version_id = attr.ib(type=python_string_type, metadata={'identifier': True, 'dgraph': {'index': ['exact']}}) version_log = attr.ib(type=python_string_type) model_id = attr.ib(type=int, metadata={'dgraph': {'index': ['int']}}) model = attr.ib(type=DmmModelInfo) model_content = attr.ib(type=python_string_type) created_by = attr.ib(type=python_string_type, metadata={'dgraph': {'index': ['exact', 'trigram']}}) updated_by = attr.ib(type=python_string_type, metadata={'dgraph': {'index': ['exact', 'trigram']}}) created_at = attr.ib(type=datetime, factory=datetime.now) updated_at = attr.ib(type=datetime, factory=datetime.now) @as_metadata @attr.s class DmmModelCalculationAtom(Entity): """ 数据模型统计口径表 """ calculation_atom_name = attr.ib( type=python_string_type, metadata={'identifier': True, 'dgraph': {'index': ['exact']}} ) calculation_atom_alias = attr.ib(type=python_string_type) model_id = attr.ib(type=int) model = attr.ib(type=DmmModelInfo) project_id = attr.ib(type=int) project = attr.ib(type=ProjectInfo) description = attr.ib(type=python_string_type) field_type = attr.ib(type=python_string_type) field_type_obj = attr.ib(type=FieldTypeConfig) calculation_content = attr.ib(type=python_string_type) calculation_formula = attr.ib(type=python_string_type) origin_fields = attr.ib(type=python_string_type) created_by = attr.ib(type=python_string_type, metadata={'dgraph': {'index': ['exact', 'trigram']}}) updated_by = attr.ib(type=python_string_type, metadata={'dgraph': {'index': ['exact', 'trigram']}}) created_at = attr.ib(type=datetime, factory=datetime.now) updated_at = attr.ib(type=datetime, factory=datetime.now) @as_metadata @attr.s class DmmModelCalculationAtomImage(Relation): """ 数据模型统计口径引用表 """ id = attr.ib(type=int, metadata={'identifier': True, 'dgraph': {'index': ['int']}}) model_id = attr.ib(type=int) model = attr.ib(type=DmmModelInfo) project_id = attr.ib(type=int) calculation_atom_name = attr.ib(type=python_string_type) calculation_atom = attr.ib(type=DmmModelCalculationAtom) created_by = attr.ib(type=python_string_type, metadata={'dgraph': {'index': ['exact', 'trigram']}}) updated_by = attr.ib(type=python_string_type, metadata={'dgraph': {'index': ['exact', 'trigram']}}) created_at = attr.ib(type=datetime, factory=datetime.now) updated_at = attr.ib(type=datetime, factory=datetime.now) @as_metadata @attr.s class DmmModelIndicator(Entity): """ 数据模型指标表 """ indicator_name = attr.ib(type=python_string_type, metadata={'identifier': True, 'dgraph': {'index': ['exact']}}) indicator_alias = attr.ib(type=python_string_type) model_id = attr.ib(type=int) model = attr.ib(type=DmmModelInfo) project_id = attr.ib(type=int) project = attr.ib(type=ProjectInfo) description = attr.ib(type=python_string_type) calculation_atom_name = attr.ib(type=python_string_type) calculation_atom = attr.ib(type=DmmModelCalculationAtom) aggregation_fields = attr.ib(type=python_string_type) filter_formula = attr.ib(type=python_string_type) condition_fields = attr.ib(type=python_string_type) scheduling_type = attr.ib(type=python_string_type) scheduling_content = attr.ib(type=python_string_type) parent_indicator_name = attr.ib(type=python_string_type) hash = attr.ib(type=python_string_type) created_by = attr.ib(type=python_string_type, metadata={'dgraph': {'index': ['exact', 'trigram']}}) updated_by = attr.ib(type=python_string_type, metadata={'dgraph': {'index': ['exact', 'trigram']}}) created_at = attr.ib(type=datetime, factory=datetime.now) updated_at = attr.ib(type=datetime, factory=datetime.now) @as_metadata @attr.s class DmmCalculationFunctionConfig(AddOn): """ SQL 统计函数表 """ function_name = attr.ib(type=python_string_type, metadata={'identifier': True, 'dgraph': {'index': ['exact']}}) output_type = attr.ib(type=python_string_type) allow_field_type = attr.ib(type=python_string_type) @as_metadata @attr.s class DmmModelInstance(Entity): """ 数据模型实例在数据开发阶段，基于已构建的数据模型创建的任务，将作为该数据模型应用阶段的实例，每个模型应用实例会包含一个主表和多个指标 """ # 实例配置和属性 instance_id = attr.ib(type=int, metadata={'identifier': True, 'dgraph': {'index': ['int']}}) model_id = attr.ib(type=int) model = attr.ib(type=DmmModelInfo) project_id = attr.ib(type=int) project = attr.ib(type=ProjectInfo) version_id = attr.ib(type=python_string_type) # 任务相关配置 flow_id = attr.ib(type=python_string_type) created_by = attr.ib(type=python_string_type, metadata={'dgraph': {'index': ['exact', 'trigram']}}) updated_by = attr.ib(type=python_string_type, metadata={'dgraph': {'index': ['exact', 'trigram']}}) created_at = attr.ib(type=datetime, factory=datetime.now) updated_at = attr.ib(type=datetime, factory=datetime.now) @as_metadata @attr.s class DmmModelInstanceTable(DataSet): """ 数据模型实例主表即明细数据表 """ # 主表配置及属性 result_table_id = attr.ib(type=python_string_type, metadata={'identifier': True, 'dgraph': {'index': ['exact']}}) result_table = attr.ib(type=ResultTable) bk_biz_id = attr.ib(type=int) instance_id = attr.ib(type=int) instance = attr.ib(type=DmmModelInstance) model_id = attr.ib(type=int) flow_node_id = attr.ib(type=int) created_by = attr.ib(type=python_string_type, metadata={'dgraph': {'index': ['exact', 'trigram']}}) updated_by = attr.ib(type=python_string_type, metadata={'dgraph': {'index': ['exact', 'trigram']}}) created_at = attr.ib(type=datetime, factory=datetime.now) updated_at = attr.ib(type=datetime, factory=datetime.now) @as_metadata @attr.s class DmmModelInstanceField(AddOn): """ 数据模型实例主表字段主要记录了主表输出哪些字段及字段应用阶段的清洗规则 """ # 字段基本属性 id = attr.ib(type=int, metadata={'identifier': True, 'dgraph': {'index': ['int']}}) instance_id = attr.ib(type=int) instance = attr.ib(type=DmmModelInstance) model_id = attr.ib(type=int) field_name = attr.ib(type=python_string_type) # 字段来源信息 input_result_table_id = attr.ib(type=python_string_type) input_field_name = attr.ib(type=python_string_type) application_clean_content = attr.ib(type=python_string_type) created_by = attr.ib(type=python_string_type, metadata={'dgraph': {'index': ['exact', 'trigram']}}) updated_by = attr.ib(type=python_string_type, metadata={'dgraph': {'index': ['exact', 'trigram']}}) created_at = attr.ib(type=datetime, factory=datetime.now) updated_at = attr.ib(type=datetime, factory=datetime.now) @as_metadata @attr.s class DmmModelInstanceRelation(Relation): """ 数据模型实例字段映射关联关系对于需要进行维度关联的字段，需要在关联关系表中记录维度关联的相关相信 """ id = attr.ib(type=int, metadata={'identifier': True, 'dgraph': {'index': ['int']}}) instance_id = attr.ib(type=int) instance = attr.ib(type=DmmModelInstance) model_id = attr.ib(type=int) field_name = attr.ib(type=python_string_type) # 关联字段来源及关联信息 input_result_table_id = attr.ib(type=python_string_type) input_field_name = attr.ib(type=python_string_type) related_model_id = attr.ib(type=int) created_by = attr.ib(type=python_string_type, metadata={'dgraph': {'index': ['exact', 'trigram']}}) updated_by = attr.ib(type=python_string_type, metadata={'dgraph': {'index': ['exact', 'trigram']}}) created_at = attr.ib(type=datetime, factory=datetime.now) updated_at = attr.ib(type=datetime, factory=datetime.now) @as_metadata @attr.s class DmmModelInstanceIndicator(DataSet): """ 数据模型实例指标 """ # 应用实例指标基本配置和属性 result_table_id = attr.ib(type=python_string_type, metadata={'identifier': True, 'dgraph': {'index': ['exact']}}) result_table = attr.ib(type=ResultTable) project_id = attr.ib(type=int) project = attr.ib(type=ProjectInfo) bk_biz_id = attr.ib(type=int) instance_id = attr.ib(type=int) instance = attr.ib(type=DmmModelInstance) model_id = attr.ib(type=int) # 关联结果表和节点的信息 parent_result_table_id = attr.ib(type=python_string_type) flow_node_id = attr.ib(type=int) # 来自模型定义的指标继承写入，可以重载 calculation_atom_name = attr.ib(type=python_string_type) calculation_atom = attr.ib(type=DmmModelCalculationAtom) aggregation_fields = attr.ib(type=python_string_type) filter_formula = attr.ib(type=python_string_type) scheduling_type = attr.ib(type=python_string_type) scheduling_content = attr.ib(type=python_string_type) created_by = attr.ib(type=python_string_type, metadata={'dgraph': {'index': ['exact', 'trigram']}}) updated_by = attr.ib(type=python_string_type, metadata={'dgraph': {'index': ['exact', 'trigram']}}) created_at = attr.ib(type=datetime, factory=datetime.now) updated_at = attr.ib(type=datetime, factory=datetime.now) @as_metadata @attr.s class DmmModelInstanceSource(Entity): """ 模型实例输入表 """ id = attr.ib(type=int, metadata={'identifier': True, 'dgraph': {'index': ['int']}}) instance_id = attr.ib(type=int) instance = attr.ib(type=DmmModelInstance) input_type = attr.ib(type=python_string_type) input_result_table_id = attr.ib(type=python_string_type) created_by = attr.ib(type=python_string_type, metadata={'dgraph': {'index': ['exact', 'trigram']}}) updated_by = attr.ib(type=python_string_type, metadata={'dgraph': {'index': ['exact', 'trigram']}}) created_at = attr.ib(type=datetime, factory=datetime.now) updated_at = attr.ib(type=datetime, factory=datetime.now)

41.533333

117

0.707742

2,174

16,198

5.070837

0.121435

0.108309

0.180515

0.146589

0.78184

0.7666

0.754263

0.716528

0.69512

0.690221

0

0.000577

0.143351

16,198

389

118

41.640103

0.793889

0.106248

0

0.7

0

0.084253

0

1

0

false

0

0.030769

0

0.861538

0

null

0

1

0

1

0

1

0

null

0

5

c573c9d703524b4314ba0b270a9bcdc04a8cc26d

2,575

py

Python

codigos/numero pi.py

skunkworksdev/Ifes_Algoritmo

458ef73a304573c12b45d8afae38e13ae0f3354f

[ "MIT" ]

null

codigos/numero pi.py

skunkworksdev/Ifes_Algoritmo

458ef73a304573c12b45d8afae38e13ae0f3354f

[ "MIT" ]

null

codigos/numero pi.py

skunkworksdev/Ifes_Algoritmo

458ef73a304573c12b45d8afae38e13ae0f3354f

[ "MIT" ]

null

num_pi = "141592653589793238462643383279502884197169399375105 82097494459230781640628620899862803482534211706798 21480865132823066470938446095505822317253594081284 81117450284102701938521105559644622948954930381964 42881097566593344612847564823378678316527120190914 56485669234603486104543266482133936072602491412737 24587006606315588174881520920962829254091715364367 89259036001133053054882046652138414695194151160943 30572703657595919530921861173819326117931051185480 74462379962749567351885752724891227938183011949129 83367336244065664308602139494639522473719070217986 09437027705392171762931767523846748184676694051320 00568127145263560827785771342757789609173637178721 46844090122495343014654958537105079227968925892354 20199561121290219608640344181598136297747713099605 18707211349999998372978049951059731732816096318595 02445945534690830264252230825334468503526193118817 10100031378387528865875332083814206171776691473035 98253490428755468731159562863882353787593751957781 85778053217122680661300192787661119590921642019893 80952572010654858632788659361533818279682303019520 35301852968995773622599413891249721775283479131515 57485724245415069595082953311686172785588907509838 17546374649393192550604009277016711390098488240128 58361603563707660104710181942955596198946767837449 44825537977472684710404753464620804668425906949129 33136770289891521047521620569660240580381501935112 53382430035587640247496473263914199272604269922796 78235478163600934172164121992458631503028618297455 57067498385054945885869269956909272107975093029553 21165344987202755960236480665499119881834797753566 36980742654252786255181841757467289097777279380008 16470600161452491921732172147723501414419735685481 61361157352552133475741849468438523323907394143334 54776241686251898356948556209921922218427255025425 68876717904946016534668049886272327917860857843838 27967976681454100953883786360950680064225125205117 39298489608412848862694560424196528502221066118630 67442786220391949450471237137869609563643719172874 67764657573962413890865832645995813390478027590099 46576407895126946839835259570982582262052248940772 67194782684826014769909026401363944374553050682034 96252451749399651431429809190659250937221696461515 70985838741059788595977297549893016175392846813826 86838689427741559918559252459539594310499725246808 45987273644695848653836736222626099124608051243884 39045124413654976278079771569143599770012961608944 16948685558484063534220722258284886481584560285060 16842739452267467678895252138522549954666727823986 4565961163548862305774564980355936345681743241125" print(num_pi)

49.519231

61

0.977476

55

2,575

45.727273

0.963636

0.003976

0

0.991277

0.020583

2,575

52

62

49.519231

0.005948

0

1

0

null

0

null

0.019608

0

1

null

0

1

0

1

0

null

1

0

1

0

5

3d6d2ded67e6efc04d9e4f27d6821d0f5a405036

555

py

Python

src/web/CygnusCloud/controllers/plugin_translate.py

lbarriosh/cygnus-cloud

1a17fbb55de69adba2ec42db4c9a063865af4fbd

[ "Apache-2.0" ]

3

2017-09-03T22:01:35.000Z

2019-01-10T05:40:44.000Z

src/web/CygnusCloud/controllers/plugin_translate.py

lbarriosh/cygnus-cloud

1a17fbb55de69adba2ec42db4c9a063865af4fbd

[ "Apache-2.0" ]

null

src/web/CygnusCloud/controllers/plugin_translate.py

lbarriosh/cygnus-cloud

1a17fbb55de69adba2ec42db4c9a063865af4fbd

[ "Apache-2.0" ]

null

def translate(): return "jQuery(document).ready(function(){jQuery('body').translate('%s');});" % request.args(0).split('.')[0] def changeLanguage(): session._language = request.args[0] #T.force(request.args[0]) #T.set_current_languages(str(request.args[0]),str(request.args[0]) + '-' + str(request.args[0])) if(len(request.args) == 5): redirect(URL(request.args[1],request.args[2], request.args[3],args=(request.args[4]))) else: redirect(URL(request.args[1],request.args[2], request.args[3])) return

39.642857

113

0.630631

77

555

4.506494

0.415584

0.443804

0.207493

0.129683

0.400576

0.270893

0

0.031646

0.145946

555

13

114

42.692308

0.700422

0.216216

0

0.159353

0.157044

0

1

0.222222

true

0

0.111111

0.444444

0

null

1

0

null

0

1

0

1

0

5

3d95ae30f98e58ff75d580c78b00579861a88438

2,064

py

Python

tests/date/test_getters.py

seandstewart/pendulum

daa4b936daf3f4dfa7d211aa0ac1e9d82d5401d4

[ "MIT" ]

5,049

2016-07-04T07:16:34.000Z

2022-03-31T07:41:48.000Z

tests/date/test_getters.py

seandstewart/pendulum

daa4b936daf3f4dfa7d211aa0ac1e9d82d5401d4

[ "MIT" ]

536

2016-07-05T22:46:29.000Z

2022-03-22T12:41:54.000Z

tests/date/test_getters.py

seandstewart/pendulum

daa4b936daf3f4dfa7d211aa0ac1e9d82d5401d4

[ "MIT" ]

373

2016-07-05T19:51:51.000Z

2022-03-23T16:57:46.000Z

import pendulum def test_year(): d = pendulum.Date(1234, 5, 6) assert d.year == 1234 def test_month(): d = pendulum.Date(1234, 5, 6) assert d.month == 5 def test_day(): d = pendulum.Date(1234, 5, 6) assert d.day == 6 def test_day_of_week(): d = pendulum.Date(2012, 5, 7) assert d.day_of_week == pendulum.MONDAY def test_day_of_year(): d = pendulum.Date(2015, 12, 31) assert d.day_of_year == 365 d = pendulum.Date(2016, 12, 31) assert d.day_of_year == 366 def test_days_in_month(): d = pendulum.Date(2012, 5, 7) assert d.days_in_month == 31 def test_age(): d = pendulum.Date.today() assert d.age == 0 assert d.add(years=1).age == -1 assert d.subtract(years=1).age == 1 def test_is_leap_year(): assert pendulum.Date(2012, 1, 1).is_leap_year() assert not pendulum.Date(2011, 1, 1).is_leap_year() def test_is_long_year(): assert pendulum.Date(2015, 1, 1).is_long_year() assert not pendulum.Date(2016, 1, 1).is_long_year() def test_week_of_month(): assert pendulum.Date(2012, 9, 30).week_of_month == 5 assert pendulum.Date(2012, 9, 28).week_of_month == 5 assert pendulum.Date(2012, 9, 20).week_of_month == 4 assert pendulum.Date(2012, 9, 8).week_of_month == 2 assert pendulum.Date(2012, 9, 1).week_of_month == 1 assert pendulum.date(2020, 1, 1).week_of_month == 1 assert pendulum.date(2020, 1, 7).week_of_month == 2 assert pendulum.date(2020, 1, 14).week_of_month == 3 def test_week_of_year_first_week(): assert pendulum.Date(2012, 1, 1).week_of_year == 52 assert pendulum.Date(2012, 1, 2).week_of_year == 1 def test_week_of_year_last_week(): assert pendulum.Date(2012, 12, 30).week_of_year == 52 assert pendulum.Date(2012, 12, 31).week_of_year == 1 def test_is_future(): d = pendulum.Date.today() assert not d.is_future() d = d.add(days=1) assert d.is_future() def test_is_past(): d = pendulum.Date.today() assert not d.is_past() d = d.subtract(days=1) assert d.is_past()

24

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null

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null

0

1

0

1

0

5

3d9d89911af790ddcf88ecdb541a37d85a1e64ec

34

py

Python

cryptomaker.py

AndrewMeadows/cryptogram

eb1b02dc2a954281be82c92a1bbe01ad015cd5db

[ "Apache-2.0" ]

null

cryptomaker.py

AndrewMeadows/cryptogram

eb1b02dc2a954281be82c92a1bbe01ad015cd5db

[ "Apache-2.0" ]

null

cryptomaker.py

AndrewMeadows/cryptogram

eb1b02dc2a954281be82c92a1bbe01ad015cd5db

[ "Apache-2.0" ]

null

#! /user/bin/python print("foo")

8.5

19

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34

4.2

1

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0.117647

34

3

20

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0

1

0

null

0

1

0

1

0

5

3dabcd4c45b175681227f86f9413720f46a627e5

2,257

py

Python

hubspot/files/files/__init__.py

cclauss/hubspot-api-python

7c60c0f572b98c73e1f1816bf5981396a42735f6

[ "Apache-2.0" ]

null

hubspot/files/files/__init__.py

cclauss/hubspot-api-python

7c60c0f572b98c73e1f1816bf5981396a42735f6

[ "Apache-2.0" ]

null

hubspot/files/files/__init__.py

cclauss/hubspot-api-python

7c60c0f572b98c73e1f1816bf5981396a42735f6

[ "Apache-2.0" ]

null

# coding: utf-8 # flake8: noqa """ Files Upload and manage files. # noqa: E501 The version of the OpenAPI document: v3 Generated by: https://openapi-generator.tech """ from __future__ import absolute_import __version__ = "1.0.0" # import apis into sdk package from hubspot.files.files.api.files_api import FilesApi from hubspot.files.files.api.folders_api import FoldersApi # import ApiClient from hubspot.files.files.api_client import ApiClient from hubspot.files.files.configuration import Configuration from hubspot.files.files.exceptions import OpenApiException from hubspot.files.files.exceptions import ApiTypeError from hubspot.files.files.exceptions import ApiValueError from hubspot.files.files.exceptions import ApiKeyError from hubspot.files.files.exceptions import ApiException # import models into sdk package from hubspot.files.files.models.collection_response_file import CollectionResponseFile from hubspot.files.files.models.collection_response_folder import CollectionResponseFolder from hubspot.files.files.models.error import Error from hubspot.files.files.models.error_category import ErrorCategory from hubspot.files.files.models.error_detail import ErrorDetail from hubspot.files.files.models.file import File from hubspot.files.files.models.file_action_response import FileActionResponse from hubspot.files.files.models.file_update_input import FileUpdateInput from hubspot.files.files.models.folder import Folder from hubspot.files.files.models.folder_action_response import FolderActionResponse from hubspot.files.files.models.folder_input import FolderInput from hubspot.files.files.models.folder_update_input import FolderUpdateInput from hubspot.files.files.models.folder_update_task_locator import FolderUpdateTaskLocator from hubspot.files.files.models.import_from_url_input import ImportFromUrlInput from hubspot.files.files.models.import_from_url_task_locator import ImportFromUrlTaskLocator from hubspot.files.files.models.next_page import NextPage from hubspot.files.files.models.paging import Paging from hubspot.files.files.models.previous_page import PreviousPage from hubspot.files.files.models.signed_url import SignedUrl from hubspot.files.files.models.standard_error import StandardError

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1

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null

0

1

0

1

0

5

3db556a11d2501212b04ab032688b0220d340ca7

2,934

py

Python

python/jittor/test/test_affine_grid.py

Exusial/jittor

eca21d5bba5098bce4f492fa44908677b6e76588

[ "Apache-2.0" ]

2,571

2020-03-20T03:38:35.000Z

2022-03-31T08:20:05.000Z

python/jittor/test/test_affine_grid.py

Exusial/jittor

eca21d5bba5098bce4f492fa44908677b6e76588

[ "Apache-2.0" ]

197

2020-03-20T04:11:47.000Z

2022-03-31T10:14:24.000Z

python/jittor/test/test_affine_grid.py

Exusial/jittor

eca21d5bba5098bce4f492fa44908677b6e76588

[ "Apache-2.0" ]

284

2020-03-20T03:53:15.000Z

2022-03-28T07:20:32.000Z

# *************************************************************** # Copyright (c) 2021 Jittor. All Rights Reserved. # Maintainers: Dun Liang <randonlang@gmail.com>. # This file is subject to the terms and conditions defined in # file 'LICENSE.txt', which is part of this source code package. # *************************************************************** import unittest import jittor as jt import numpy as np from jittor.nn import affine_grid,grid_sample skip_this_test = False try: jt.dirty_fix_pytorch_runtime_error() import torch.nn.functional as F import torch except: skip_this_test = True @unittest.skipIf(skip_this_test, "No Torch found") class TestAffineGrid(unittest.TestCase): def test_affine_grid_2d(self): N = 8 C = 3 H = 256 W = 128 theta = np.random.randn(N,2,3).astype(np.float32) features = np.random.randint(256,size=(N,C,H,W)).astype(np.float32) torch_theta = torch.Tensor(theta) torch_features = torch.Tensor(features) torch_grid = F.affine_grid(torch_theta,size=(N,C,H,W),align_corners=False) torch_sample = F.grid_sample(torch_features,torch_grid,mode='bilinear',padding_mode='zeros',align_corners=False) jt_theta = jt.array(theta) jt_features = jt.array(features) jt_grid = affine_grid(jt_theta,size=(N,C,H,W),align_corners=False) jt_sample = grid_sample(jt_features,jt_grid,mode='bilinear',padding_mode='zeros',align_corners=False) assert np.allclose(jt_theta.numpy(),torch_theta.numpy()) assert np.allclose(jt_features.numpy(),torch_features.numpy()) assert np.allclose(jt_grid.numpy(),torch_grid.numpy(),atol=1e-05) assert np.allclose(torch_sample.numpy(),jt_sample.numpy(),atol=1e-01) def test_affine_grid_3d(self): N = 8 C = 3 D = 64 H = 256 W = 128 theta = np.random.randn(N,3,4).astype(np.float32) features = np.random.randint(256,size=(N,C,D,H,W)).astype(np.float32) torch_theta = torch.Tensor(theta) torch_features = torch.Tensor(features) torch_grid = F.affine_grid(torch_theta,size=(N,C,D,H,W),align_corners=False) torch_sample = F.grid_sample(torch_features,torch_grid,mode='bilinear',padding_mode='zeros',align_corners=False) jt_theta = jt.array(theta) jt_features = jt.array(features) jt_grid = affine_grid(jt_theta,size=(N,C,D,H,W),align_corners=False) jt_sample = grid_sample(jt_features,jt_grid,mode='bilinear',padding_mode='zeros',align_corners=False) assert np.allclose(jt_theta.numpy(),torch_theta.numpy()) assert np.allclose(jt_features.numpy(),torch_features.numpy()) assert np.allclose(jt_grid.numpy(),torch_grid.numpy(),atol=1e-05) assert np.allclose(torch_sample.numpy(),jt_sample.numpy(),atol=1e-01) if __name__ == "__main__": unittest.main()

39.648649

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null

0

1

0

null

0

5

3dc789bb341fbe33803a4e1bb103d2ee9b4865f0

35

py

Python

Trakttv.bundle/Contents/Libraries/Shared/plugin/sync/core/result.py

disrupted/Trakttv.bundle

24712216c71f3b22fd58cb5dd89dad5bb798ed60

[ "RSA-MD" ]

1,346

2015-01-01T14:52:24.000Z

2022-03-28T12:50:48.000Z

Trakttv.bundle/Contents/Libraries/Shared/plugin/sync/core/result.py

alcroito/Plex-Trakt-Scrobbler

4f83fb0860dcb91f860d7c11bc7df568913c82a6

[ "RSA-MD" ]

474

2015-01-01T10:27:46.000Z

2022-03-21T12:26:16.000Z

Trakttv.bundle/Contents/Libraries/Shared/plugin/sync/core/result.py

alcroito/Plex-Trakt-Scrobbler

4f83fb0860dcb91f860d7c11bc7df568913c82a6

[ "RSA-MD" ]

191

2015-01-02T18:27:22.000Z

2022-03-29T10:49:48.000Z

class SyncResult(object): pass

11.666667

25

0.714286

4

35

6.25

1

0

0.2

35

2

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17.5

0.892857

0

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0

1

0

null

0

1

0

null

0

1

0

5

9a805602d21b59185f15b225aec71ba701580e84

100

py

Python

terminal/System.py

tagadvance/Terminal-Save-and-Restore

53c99ddd59886f50d21250c7f41b99c0bb1323b1

[ "MIT" ]

3

2018-06-05T19:30:18.000Z

2018-07-09T21:53:23.000Z

terminal/System.py

tagadvance/Terminal-Save-and-Restore

53c99ddd59886f50d21250c7f41b99c0bb1323b1

[ "MIT" ]

1

2018-06-01T18:05:30.000Z

2018-06-02T07:51:24.000Z

terminal/System.py

tagadvance/Terminal-Save-and-Restore

53c99ddd59886f50d21250c7f41b99c0bb1323b1

[ "MIT" ]

null

import os class System: @staticmethod def isRoot(): return os.geteuid() == 0

11.111111

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100

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0.015152

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1

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null

0

1

0

1

0

5

9a8ce63a90523e238db33621886cd1976e1d2dd9

8,440

py

Python

tdameritrade/tdameritrade/tests/AlgoTrading.py

ziran137/td_api

1b7fad9a1a47d28ae6c6ed64c4787ac94f40ac7a

[ "MIT" ]

null

tdameritrade/tdameritrade/tests/AlgoTrading.py

ziran137/td_api

1b7fad9a1a47d28ae6c6ed64c4787ac94f40ac7a

[ "MIT" ]

null

tdameritrade/tdameritrade/tests/AlgoTrading.py

ziran137/td_api

1b7fad9a1a47d28ae6c6ed64c4787ac94f40ac7a

[ "MIT" ]

null

import requests endpoint = r'https://api.tdameritrade.com/v1/marketdata/{}/pricehistory'.format('GOOG') payload = {'apikey': URLENCODED_Consumer_Key, 'periodType': 'minute', 'frequency': 1, 'period':2, 'endDate':'155615824000', 'startDate':'1554535854000', 'needExtendedHoursData':'true' } content = requests.get(url=endpoint, params=payload) data=content.json() URLENCODED_REDIRECT_URI = 'http%3A%2F%2Flocalhost' URLENCODED_Consumer_Key = 'HYCCBHZVNLQNFY4N9BB0GUUJYWOMZVWM' 'https://auth.tdameritrade.com/auth?response_type=code&redirect_uri={}&client_id={}%40AMER.OAUTHAP'.format(URLENCODED_REDIRECT_URI, URLENCODED_Consumer_Key) ############### test functions ############### import tdameritrade as td import pandas as pd token={ "access_token": "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212FD3x19z9sWBHDJACbC00B75E", "refresh_token": "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212FD3x19z9sWBHDJACbC00B75E", "scope": "PlaceTrades AccountAccess MoveMoney", "expires_in": 1800, "refresh_token_expires_in": 7776000, "token_type": "Bearer" } token['accountIds'] = ['ziran1206'] c = td.TDClient(access_token=token['access_token'], accountIds=token['accountIds']) ## 1. Search instrument symbols = ['AAPL', 'GOOG'] c.search(symbols) c.searchDF(symbols) ## 2. Fundamentals symbols = ['AAPL', 'GOOG'] c.fundamental(symbols) x = c.fundamentalDF(symbols) x['fundamental'] ## 3. Get Instrument by CUSIP cusip = '88160R101' c.fundamental(cusip) c.fundamentalDF(cusip) ## 4. Get Quotes by symbol symbol = 'AAPL' c.quote(symbol) c.quoteDF(symbol) ## 5. Get Historical Price """" periodType: The type of period to show. Valid values are day, month, year, or ytd (year to date). Default is day period: Valid periods by periodType (defaults marked with an asterisk): day: 1, 2, 3, 4, 5, 10* month: 1*, 2, 3, 6 year: 1*, 2, 3, 5, 10, 15, 20 ytd: 1* frequencyType: The type of frequency with which a new candle is formed. Valid frequencyTypes by periodType (defaults marked with an asterisk): day: minute* month: daily, weekly* year: daily, weekly, monthly* ytd: daily, weekly* frequency: The number of the frequencyType to be included in each candle. Valid frequencies by frequencyType (defaults marked with an asterisk): minute: 1*, 5, 10, 15, 30 daily: 1* weekly: 1* monthly: 1* endDate: End date as milliseconds since epoch. If startDate and endDate are provided, period should not be provided. Default is previous trading day. startDate: Start date as milliseconds since epoch. If startDate and endDate are provided, period should not be provided. needExtendedHoursData: true to return extended hours data, false for regular market hours only. Default is true """" symbol = 'SPY' params = {'period': 10, 'periodType': 'year', 'frequency': 1, 'frequencyType': 'daily', 'needExtendedHoursData': 'true' } c.history(symbol, period=params['period'], periodType=params['periodType'], frequency=params['frequency'], frequencyType=params['frequencyType']) c.historyDF(symbol, period=params['period'], periodType=params['periodType'], frequency=params['frequency'], frequencyType=params['frequencyType']) ## 6. Get option chain for an optionable Symbol """" contractType: Can be CALL, PUT, or ALL. Default is ALL. strikeCount: The number of strikes to return above and below the at-the-money price. includeQuotes: Include quotes for options in the option chain. Can be TRUE or FALSE. Default is FALSE. strategy: Passing a value returns a Strategy Chain. Possible values are SINGLE, ANALYTICAL (allows use of the volatility, underlyingPrice, interestRate, and daysToExpiration params to calculate theoretical values), COVERED, VERTICAL, CALENDAR, STRANGLE, STRADDLE, BUTTERFLY, CONDOR, DIAGONAL, COLLAR, or ROLL. Default is SINGLE. interval: Strike interval for spread strategy chains (see strategy param). strike: Provide a strike price to return options only at that strike price. range: Returns options for the given range. Possible values are: ITM: In-the-money NTM: Near-the-money OTM: Out-of-the-money SAK: Strikes Above Market SBK: Strikes Below Market SNK: Strikes Near Market ALL: All Strikes Default is ALL. fromDate: 'Only return expirations after this date. For strategies, expiration refers to the nearest term expiration in the strategy. Valid ISO-8601 formats are: yyyy-MM-dd and yyyy-MM-dd'T'HH:mm:ssz.' toDate: 'Only return expirations before this date. For strategies, expiration refers to the nearest term expiration in the strategy. Valid ISO-8601 formats are: yyyy-MM-dd and yyyy-MM-dd'T'HH:mm:ssz.' volatility: Volatility to use in calculations. Applies only to ANALYTICAL strategy chains (see strategy param). underlyingPrice: Underlying price to use in calculations. Applies only to ANALYTICAL strategy chains (see strategy param). interestRate: Interest rate to use in calculations. Applies only to ANALYTICAL strategy chains (see strategy param). daysToExpiration: Days to expiration to use in calculations. Applies only to ANALYTICAL strategy chains (see strategy param). expMonth: 'Return only options expiring in the specified month. Month is given in the three character format. Example: JAN Default is ALL.'' optionType: 'Type of contracts to return. Possible values are: S: Standard contracts NS: Non-standard contracts ALL: All contracts Default is ALL.'' """" symbol = 'SPY' params = {'contractType': 'CALL', 'strikeCount': '5', 'includeQuotes': 'FALSE', 'strategy': 'SINGLE', 'fromDate': '2020-01-20', 'toDate': '2020-01-31' } c.options('AAPL', contractType=params['contractType'], strikeCount=params['strikeCount'],fromDate=params['fromDate'], toDate=params['toDate']) c.optionsDF('AAPL') ## 7. Movers index = '$DJI' ## The index symbol to get movers from. Can be $COMPX, $DJI, or $SPX.X. Click to edit the value. direction = 'up' ## up or down change_type='percent' # percent or value c.movers(index, direction=direction, change_type=change_type)

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audiomate/annotations/__init__.py

CostanzoPablo/audiomate

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audiomate/annotations/__init__.py

CostanzoPablo/audiomate

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2021-01-29T10:58:30.000Z

audiomate/annotations/__init__.py

CostanzoPablo/audiomate

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[ "MIT" ]

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2021-11-30T07:44:50.000Z

""" This module contains classes to describe the content of an audio-segment. """ from .label import Label # noqa: F401 from .label_list import LabelList # noqa: F401

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demo.py

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demo.py

Zerl1990/2021_02_git_training

2761d323b9aea32230441a3ccd4f0562737e83ff

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demo.py

Zerl1990/2021_02_git_training

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"""Demo script.""" import os print('Demo Hello') print('commit..')

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enthought/graphcanvas/graph_view.py

enthought/etsproxy

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enthought/graphcanvas/graph_view.py

enthought/etsproxy

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2020-12-02T08:48:55.000Z

enthought/graphcanvas/graph_view.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

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null

# proxy module from __future__ import absolute_import from graphcanvas.graph_view import *

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