xszheng2020/the_stack_dedup_python_hits_1_others

e05d022e20ec708234ba466419ce63a57d30ac77

2,716

py

Python

PythonScripting/NumbersInPython.py

Neo-sunny/pythonProgs

a9d2359d8a09d005d0ba6f94d7d256bf91499793

[ "MIT" ]

null

PythonScripting/NumbersInPython.py

Neo-sunny/pythonProgs

a9d2359d8a09d005d0ba6f94d7d256bf91499793

[ "MIT" ]

null

PythonScripting/NumbersInPython.py

Neo-sunny/pythonProgs

a9d2359d8a09d005d0ba6f94d7d256bf91499793

[ "MIT" ]

null

""" Demonstration of numbers in Python """ # Python has an integer type called int print("int") print("---") print(0) print(1) print(-3) print(70383028364830) print("") # Python has a real number type called float print("float") print("-----") print(0.0) print(7.35) print(-43.2) print("") # Limited precision print("Precision") print("---------") print(4.56372883832331773) print(1.23456789012345678) print("") # Scientific/exponential notation print("Scientific notation") print("-------------------") print(5e32) print(999999999999999999999999999999999999999.9) print("") # Infinity print("Infinity") print("--------") print(1e500) print(-1e500) print("") # Conversions print("Conversions between numeric types") print("---------------------------------") print(float(3)) print(float(99999999999999999999999999999999999999)) print(int(3.0)) print(int(3.7)) print(int(-3.7)) """ Demonstration of simple arithmetic expressions in Python """ # Unary + and - print("Unary operators") print(+3) print(-5) print(+7.86) print(-3348.63) print("") # Simple arithmetic print("Addition and Subtraction") print(1 + 2) print(48 - 89) print(3.45 + 2.7) print(87.3384 - 12.35) print(3 + 6.7) print(9.8 - 4) print("") print("Multiplication") print(3 * 2) print(7.8 * 27.54) print(7 * 8.2) print("") print("Division") print(8 / 2) print(3 / 2) print(7.538 / 14.3) print(8 // 2) print(3 // 2) print(7.538 // 14.3) print("") print("Exponentiation") print(3 ** 2) print(5 ** 4) print(32.6 ** 7) print(9 ** 0.5) """ Demonstration of compound arithmetic expressions in Python """ # Expressions can include multiple operations print("Compound expressions") print(3 + 5 + 7 + 27) #Operator with same precedence are evaluated from left to right print(18 - 6 + 4) print("") # Operator precedence defines how expressions are evaluated print("Operator precedence") print(7 + 3 * 5) print(5.5 * 6 // 2 + 8) print(-3 ** 2) print("") # Use parentheses to change evaluation order print("Grouping with parentheses") print((7 + 3) * 5) print(5.5 * ((6 // 2) + 8)) print((-3) ** 2) """ Demonstration of the use of variables and how to assign values to them. """ # The = operator can be used to assign values to variables bakers_dozen = 12 + 1 temperature = 93 # Variables can be used as values and in expressions print(temperature, bakers_dozen) print("celsius:", (temperature - 32) * 5 / 9) print("fahrenheit:", float(temperature)) # You can assign a different value to an existing variable temperature = 26 print("new value:", temperature) # Multiple variables can be used in arbitrary expressions offset = 32 multiplier = 5.0 / 9.0 celsius = (temperature - offset) * multiplier print("celsius value:", celsius)

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null

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null

0

1

0

1

e05e6c4440c357c867a4c38e37f726c4d615e768

1,676

py

Python

3DBeam/source/solving_strategies/strategies/linear_solver.py

JoZimmer/Beam-Models

e701c0bae6e3035e7a07cc590da4a132b133dcff

[ "BSD-3-Clause" ]

null

3DBeam/source/solving_strategies/strategies/linear_solver.py

JoZimmer/Beam-Models

e701c0bae6e3035e7a07cc590da4a132b133dcff

[ "BSD-3-Clause" ]

null

3DBeam/source/solving_strategies/strategies/linear_solver.py

JoZimmer/Beam-Models

e701c0bae6e3035e7a07cc590da4a132b133dcff

[ "BSD-3-Clause" ]

1

2022-01-05T17:32:32.000Z

from source.solving_strategies.strategies.solver import Solver class LinearSolver(Solver): def __init__(self, array_time, time_integration_scheme, dt, comp_model, initial_conditions, force, structure_model): super().__init__(array_time, time_integration_scheme, dt, comp_model, initial_conditions, force, structure_model) def _print_solver_info(self): print("Linear Solver") def solve(self): # time loop for i in range(0, len(self.array_time)): self.step = i current_time = self.array_time[i] #print("time: {0:.2f}".format(current_time)) self.scheme.solve_single_step(self.force[:, i]) # appending results to the list self.displacement[:, i] = self.scheme.get_displacement() self.velocity[:, i] = self.scheme.get_velocity() self.acceleration[:, i] = self.scheme.get_acceleration() # TODO: only calculate reaction when user wants it # if self.structure_model is not None: # self.dynamic_reaction[:, i] = self._compute_reaction() # reaction computed in dynamic analysis # TODO: only calculate reaction when user wants it # moved reaction computation to dynamic analysis level # AK . this doesnt considers the support reaction check #if self.structure_model is not None: # self.dynamic_reaction[:, i] = self._compute_reaction() # update results self.scheme.update()

38.976744

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0.590095

183

1,676

5.180328

0.404372

0.052743

0.041139

0.044304

0.390295

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0

0.00265

0.324582

1,676

42

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0.834806

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false

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null

0

null

0

1

0

1

e068d2bbe0be95225acd32e5324a05a51bc85276

5,641

py

Python

pandas 9 - Statistics Information on data sets.py

PythonProgramming/Pandas-Basics-with-2.7

a6ecd5ac7c25dba83e934549903f229de89290d3

[ "MIT" ]

10

2015-07-16T05:46:10.000Z

2020-10-28T10:35:50.000Z

pandas 9 - Statistics Information on data sets.py

PythonProgramming/Pandas-Basics-with-2.7

a6ecd5ac7c25dba83e934549903f229de89290d3

[ "MIT" ]

null

pandas 9 - Statistics Information on data sets.py

PythonProgramming/Pandas-Basics-with-2.7

a6ecd5ac7c25dba83e934549903f229de89290d3

[ "MIT" ]

9

2017-01-31T18:57:25.000Z

2019-09-10T08:52:57.000Z

import pandas as pd from pandas import DataFrame df = pd.read_csv('sp500_ohlc.csv', index_col = 'Date', parse_dates=True) df['H-L'] = df.High - df.Low # Giving us count (rows), mean (avg), std (standard deviation for the entire # set), minimum for the set, maximum for the set, and some %s in that range. print( df.describe()) x = input('enter to cont') # gives us correlation data. Remember the 3d chart we plotted? # now you can see if correlation of H-L and Volume also is correlated # with price swings. Correlations for your correlations print( df.corr()) x = input('enter to cont') # covariance... now plenty of people know what correlation is, but what in the # heck is covariance. # Let's defined the two. # covariance is the measure of how two variables change together. # correlation is the measure of how two variables move in relation to eachother. # so covariance is a more direct assessment of the relationship between two variables. # Maybe a better way to put it is that covariance is the measure of the strength of correlation. print( df.cov()) x = input('enter to cont') print( df[['Volume','H-L']].corr()) x = input('enter to cont') # see how it makes a table? # so now, we can actually perform a service that some people actually pay for # I once had a short freelance gig doing this # so a popular form of analysis within especially forex is to compare correlations between # the currencies. The idea here is that you pace one currency with another. # import datetime import pandas.io.data C = pd.io.data.get_data_yahoo('C', start=datetime.datetime(2011, 10, 1), end=datetime.datetime(2014, 1, 1)) AAPL = pd.io.data.get_data_yahoo('AAPL', start=datetime.datetime(2011, 10, 1), end=datetime.datetime(2014, 1, 1)) MSFT = pd.io.data.get_data_yahoo('MSFT', start=datetime.datetime(2011, 10, 1), end=datetime.datetime(2014, 1, 1)) TSLA = pd.io.data.get_data_yahoo('TSLA', start=datetime.datetime(2011, 10, 1), end=datetime.datetime(2014, 1, 1)) print( C.head()) x = input('enter to cont') del C['Open'] # , 'high', 'low', 'close', 'volume' del C['High'] del C['Low'] del C['Close'] del C['Volume'] corComp = C corComp.rename(columns={'Adj Close': 'C'}, inplace=True) corComp['AAPL'] = AAPL['Adj Close'] corComp['MSFT'] = MSFT['Adj Close'] corComp['TSLA'] = TSLA['Adj Close'] print( corComp.head()) x = input('enter to cont') print( corComp.corr()) x = input('enter to cont') C = pd.io.data.get_data_yahoo('C', start=datetime.datetime(2011, 10, 1), end=datetime.datetime(2014, 1, 1)) AAPL = pd.io.data.get_data_yahoo('AAPL', start=datetime.datetime(2011, 10, 1), end=datetime.datetime(2014, 1, 1)) MSFT = pd.io.data.get_data_yahoo('MSFT', start=datetime.datetime(2011, 10, 1), end=datetime.datetime(2014, 1, 1)) TSLA = pd.io.data.get_data_yahoo('TSLA', start=datetime.datetime(2011, 10, 1), end=datetime.datetime(2014, 1, 1)) BAC = pd.io.data.get_data_yahoo('BAC', start=datetime.datetime(2011, 10, 1), end=datetime.datetime(2014, 1, 1)) BBRY = pd.io.data.get_data_yahoo('BBRY', start=datetime.datetime(2011, 10, 1), end=datetime.datetime(2014, 1, 1)) CMG = pd.io.data.get_data_yahoo('CMG', start=datetime.datetime(2011, 10, 1), end=datetime.datetime(2014, 1, 1)) EBAY = pd.io.data.get_data_yahoo('EBAY', start=datetime.datetime(2011, 10, 1), end=datetime.datetime(2014, 1, 1)) JPM = pd.io.data.get_data_yahoo('JPM', start=datetime.datetime(2011, 10, 1), end=datetime.datetime(2014, 1, 1)) SBUX = pd.io.data.get_data_yahoo('SBUX', start=datetime.datetime(2011, 10, 1), end=datetime.datetime(2014, 1, 1)) TGT = pd.io.data.get_data_yahoo('TGT', start=datetime.datetime(2011, 10, 1), end=datetime.datetime(2014, 1, 1)) WFC = pd.io.data.get_data_yahoo('WFC', start=datetime.datetime(2011, 10, 1), end=datetime.datetime(2014, 1, 1)) x = input('enter to cont') print( C.head()) del C['Open'] # , 'high', 'low', 'close', 'volume' del C['High'] del C['Low'] del C['Close'] del C['Volume'] corComp = C corComp.rename(columns={'Adj Close': 'C'}, inplace=True) corComp['BAC'] = BAC['Adj Close'] corComp['MSFT'] = MSFT['Adj Close'] corComp['TSLA'] = TSLA['Adj Close'] corComp['AAPL'] = AAPL['Adj Close'] corComp['BBRY'] = BBRY['Adj Close'] corComp['CMG'] = CMG['Adj Close'] corComp['EBAY'] = EBAY['Adj Close'] corComp['JPM'] = JPM['Adj Close'] corComp['SBUX'] = SBUX['Adj Close'] corComp['TGT'] = TGT['Adj Close'] corComp['WFC'] = WFC['Adj Close'] print( corComp.head()) x = input('enter to cont') print( corComp.corr()) x = input('enter to cont') fancy = corComp.corr() fancy.to_csv('bigmoney.csv')

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5,641

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97

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0

null

0

1

0

null

0

1

e07a13e1121d2676a50044d556f0800f60bfd2f7

2,849

py

Python

team_fundraising/text.py

namtel-hp/fundraising-website

30cb0cd2bd4505454295d11715e70712525234a3

[ "MIT" ]

5

2019-10-26T12:41:31.000Z

2022-03-13T08:30:29.000Z

team_fundraising/text.py

Maalik1/fundraising-website

a5fcd7e8a5966f299f57c22af8c739a3d6cd501a

[ "MIT" ]

9

2021-03-18T21:27:36.000Z

2022-03-11T23:42:46.000Z

team_fundraising/text.py

Maalik1/fundraising-website

a5fcd7e8a5966f299f57c22af8c739a3d6cd501a

[ "MIT" ]

2

2021-01-11T14:19:01.000Z

2022-02-18T19:18:38.000Z

class Donation_text: # Shown as a message across the top of the page on return from a donation # used in views.py:new_donation() thank_you = ( "Thank you for your donation. " "You may need to refresh this page to see the donation." ) confirmation_email_subject = ( 'Thank you for donating to the Triple Crown for Heart! ' ) # Start of the email sent confirming the paypal payment has gone through # used in paypal.py:process_paypal() confirmation_email_opening = ( 'Thank you for your donation of ' ) # Closing of the email sent confirming the paypal payment has gone through # used in paypal.py:process_paypal() confirmation_email_closing = ( '.\n\nFor all donations over $20, you will receive a tax receipt for ' 'the 2019 tax year.' '\nYour PayPal receipt should arrive in a separate email.\n' ) notification_email_subject = ( "You got a donation!" ) notification_email_opening = ( "Great news! You've just received a donation of " ) notification_email_closing = ( "\n\nAwesome work! They would probably appreciate " "a quick thank you email.\n\n" "-- Triple Crown for Heart\n" ) class Fundraiser_text: # Subject of the email sent on signup signup_email_subject = ( "Welcome to fundraising for the Triple Crown for Heart!" ) # Start of the email sent when someone signs up # used in views.py:signup() signup_email_opening = ( "Thanks for signing up to fundraise with us!\n" "Your fundraising page can be found at:\n" ) # Closing of the email sent when someone signs up # used in views.py:signup() signup_email_closing = ( '\n\nYou can change your information by using the "Login" link at the ' 'top of that page.' '\n\nThe easiest way to start fundraising is to post the above link ' 'on social media or write a short email to your friends telling them ' 'about your ride.' '\nDon\'t forget to include the link to your page!\n' ) # Message show at the top of the fundraiser page after signing up # used in views.py:signup() signup_return_message = ( "Thank you for signing up. Sharing your fundraiser page on social " "media or over email is the best way to get donations." ) signup_wrong_password_existing_user = ( "The username already exists, but the password entered is incorrect. " "If you were already a fundraiser for a previous campaign, please " "enter your previous password or use " "<a href='/team_fundraising/accounts/password_reset/'>" "Forgot your password</a>. If this is your first campaign, " "please choose a different username." )

33.916667

79

0.65251

397

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4.602015

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0

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0.279045

2,849

83

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0

null

0

null

0

1

0

1

0eb2577f85f04e68e802521ef8915750223e0174

624

py

Python

tests/wagtail_live/test_apps.py

wagtail/wagtail-live

dd769be089d457cf36db2506520028bc5f506ac3

[ "BSD-3-Clause" ]

22

2021-06-07T20:36:18.000Z

2022-03-29T01:48:58.000Z

tests/wagtail_live/test_apps.py

wagtail/wagtail-live

dd769be089d457cf36db2506520028bc5f506ac3

[ "BSD-3-Clause" ]

73

2021-05-21T16:08:44.000Z

2022-03-20T23:59:59.000Z

tests/wagtail_live/test_apps.py

wagtail/wagtail-live

dd769be089d457cf36db2506520028bc5f506ac3

[ "BSD-3-Clause" ]

11

2021-06-10T10:05:13.000Z

2022-02-12T13:31:34.000Z

from django.apps import apps from django.test import override_settings from wagtail_live.signals import live_page_update def test_live_page_update_signal_receivers(): assert len(live_page_update.receivers) == 0 @override_settings( WAGTAIL_LIVE_PUBLISHER="tests.testapp.publishers.DummyWebsocketPublisher" ) def test_live_page_update_signal_receivers_websocket(): app_config = apps.get_app_config("wagtail_live") app_config.ready() try: # Receiver should be connected, no IndexError receiver = live_page_update.receivers[0] finally: live_page_update.disconnect(receiver)

27.130435

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624

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0.065502

0.262009

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0.150641

624

22

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0.06891

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false

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0.333333

0

null

0

1

0

null

0

1

0eb6190157c1946b37b5fd1be18f551d0e559832

612

py

Python

python/Patterns/inheritance/main.py

zinderud/ysa

e34d3f4c7afab3976d86f5d27edfcd273414e496

[ "Apache-2.0" ]

null

python/Patterns/inheritance/main.py

zinderud/ysa

e34d3f4c7afab3976d86f5d27edfcd273414e496

[ "Apache-2.0" ]

1

2017-12-27T10:09:22.000Z

2017-12-27T10:22:47.000Z

python/Patterns/inheritance/main.py

zinderud/ysa

e34d3f4c7afab3976d86f5d27edfcd273414e496

[ "Apache-2.0" ]

null

class Yaratik(object): def move_left(self): print('Moving left...') def move_right(self): print('Moving left...') class Ejderha(Yaratik): def Ates_puskurtme(self): print('ates puskurtum!') class Zombie(Yaratik): def Isirmak(self): print('Isirdim simdi!') enemy = Yaratik() enemy.move_left() # ejderha also includes all functions from parent class (yaratik) ejderha = Ejderha() ejderha.move_left() ejderha.Ates_puskurtme() # Zombie is called the (child class), inherits from Yaratik (parent class) zombie = Zombie() zombie.move_right() zombie.Isirmak()

18

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0.07335

0.09291

0

0.19281

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0.222222

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false

0

0.368421

0.210526

0

null

0

null

0

1

0

1

0eb71b68b065b14b8eebff52fa3bbffc15201b7a

1,527

py

Python

clustering/graph_utils.py

perathambkk/ml-techniques

5d6fd122322342c0b47dc65d09c4425fd73f2ea9

[ "MIT" ]

null

clustering/graph_utils.py

perathambkk/ml-techniques

5d6fd122322342c0b47dc65d09c4425fd73f2ea9

[ "MIT" ]

null

clustering/graph_utils.py

perathambkk/ml-techniques

5d6fd122322342c0b47dc65d09c4425fd73f2ea9

[ "MIT" ]

null

""" Author: Peratham Wiriyathammabhum """ import numpy as np import pandas as pd from sklearn.neighbors import NearestNeighbors def affinity_graph(X): ''' This function returns a numpy array. ''' ni, nd = X.shape A = np.zeros((ni, ni)) for i in range(ni): for j in range(i+1, ni): dist = ((X[i] - X[j])**2).sum() # compute L2 distance A[i][j] = dist A[j][i] = dist # by symmetry return A def knn_graph(X, knn=4): ''' This function returns a numpy array. ''' ni, nd = X.shape nbrs = NearestNeighbors(n_neighbors=(knn+1), algorithm='ball_tree').fit(X) distances, indices = nbrs.kneighbors(X) A = np.zeros((ni, ni)) for dist, ind in zip(distances, indices): i0 = ind[0] for i in range(1,knn+1): d = dist[i] A[i0, i] = d A[i, i0] = d # by symmetry return A def sparse_affinity_graph(X): ''' TODO: This function returns a numpy sparse matrix. ''' ni, nd = X.shape A = np.zeros((ni, ni)) for i in range(ni): for j in range(i+1, ni): dist = ((X[i] - X[j])**2).sum() # compute L2 distance A[i][j] = dist A[j][i] = dist # by symmetry return A def laplacian_graph(X, mode='affinity', knn=3, eta=0.01, sigma=2.5): ''' The unnormalized graph Laplacian, L = D − W. ''' if mode == 'affinity': W = affinity_graph(X) W[abs(W) > eta] = 0 elif mode == 'nearestneighbor': W = knn_graph(X, knn=knn) elif mode == 'gaussian': W = affinity_graph(X) bandwidth = 2.0*(sigma**2) W = np.exp(W) / bandwidth else: pass D = np.diag(W.sum(axis=1)) L = D - W return L

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null

0

null

0

1

0

1

0ec1afd2facbda8f3febe8ca1dc7c71fb6558f04

1,993

py

Python

packages/watchmen-data-kernel/src/watchmen_data_kernel/meta/external_writer_service.py

Indexical-Metrics-Measure-Advisory/watchmen

c54ec54d9f91034a38e51fd339ba66453d2c7a6d

[ "MIT" ]

null

packages/watchmen-data-kernel/src/watchmen_data_kernel/meta/external_writer_service.py

Indexical-Metrics-Measure-Advisory/watchmen

c54ec54d9f91034a38e51fd339ba66453d2c7a6d

[ "MIT" ]

null

packages/watchmen-data-kernel/src/watchmen_data_kernel/meta/external_writer_service.py

Indexical-Metrics-Measure-Advisory/watchmen

c54ec54d9f91034a38e51fd339ba66453d2c7a6d

[ "MIT" ]

null

from typing import Optional from watchmen_auth import PrincipalService from watchmen_data_kernel.cache import CacheService from watchmen_data_kernel.common import DataKernelException from watchmen_data_kernel.external_writer import find_external_writer_create, register_external_writer_creator from watchmen_meta.common import ask_meta_storage, ask_snowflake_generator from watchmen_meta.system import ExternalWriterService as ExternalWriterStorageService from watchmen_model.common import ExternalWriterId from watchmen_model.system import ExternalWriter def register_external_writer(external_writer: ExternalWriter) -> None: create = find_external_writer_create(external_writer.type) if create is None: raise DataKernelException(f'Creator not found for external writer[{external_writer.dict()}].') register_external_writer_creator(external_writer.writerCode, create()) class ExternalWriterService: def __init__(self, principal_service: PrincipalService): self.principalService = principal_service def find_by_id(self, writer_id: ExternalWriterId) -> Optional[ExternalWriter]: external_writer = CacheService.external_writer().get(writer_id) if external_writer is not None: if external_writer.tenantId != self.principalService.get_tenant_id(): raise DataKernelException( f'External writer[id={writer_id}] not belongs to ' f'current tenant[id={self.principalService.get_tenant_id()}].') register_external_writer(external_writer) return external_writer storage_service = ExternalWriterStorageService( ask_meta_storage(), ask_snowflake_generator(), self.principalService) storage_service.begin_transaction() try: # noinspection PyTypeChecker external_writer: ExternalWriter = storage_service.find_by_id(writer_id) if external_writer is None: return None CacheService.external_writer().put(external_writer) register_external_writer(external_writer) return external_writer finally: storage_service.close_transaction()

41.520833

110

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null

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0ec2983c9be55e068e1ac3a8da9a2e78b097ece9

882

py

Python

scrywarden/module.py

chasebrewsky/scrywarden

c6a5a81d14016ca58625df68594ef52dd328a0dd

[ "MIT" ]

1

2020-12-13T00:49:51.000Z

scrywarden/module.py

chasebrewsky/scrywarden

c6a5a81d14016ca58625df68594ef52dd328a0dd

[ "MIT" ]

null

scrywarden/module.py

chasebrewsky/scrywarden

c6a5a81d14016ca58625df68594ef52dd328a0dd

[ "MIT" ]

null

from importlib import import_module from typing import Any def import_string(path: str) -> Any: """Imports a dotted path name and returns the class/attribute. Parameters ---------- path: str Dotted module path to retrieve. Returns ------- Class/attribute at the given import path. Raises ------ ImportError If the path does not exist. """ try: module_path, class_name = path.rsplit('.', 1) except ValueError as error: raise ImportError( f"{path} does not look like a module path", ) from error module = import_module(module_path) try: return getattr(module, class_name) except AttributeError as error: raise ImportError( f"Module '{module_path}' does not define a '{class_name}' " "attribute/class", ) from error

24.5

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0ec3f460313d8f825c0daad58ff5e76ef71c5401

1,704

py

Python

Win/reg.py

QGB/QPSU

7bc214676d797f42d2d7189dc67c9377bccdf25d

[ "MIT" ]

6

2018-03-25T20:05:21.000Z

2022-03-13T17:23:05.000Z

Win/reg.py

pen9un/QPSU

76e1a3f6f6f6f78452e02f407870a5a32177b667

[ "MIT" ]

15

2018-05-14T03:30:21.000Z

2022-03-03T15:33:25.000Z

Win/reg.py

pen9un/QPSU

76e1a3f6f6f6f78452e02f407870a5a32177b667

[ "MIT" ]

1

2021-07-15T06:23:45.000Z

#coding=utf-8 try: if __name__.startswith('qgb.Win'): from .. import py else: import py except Exception as ei: raise ei raise EnvironmentError(__name__) if py.is2(): import _winreg as winreg from _winreg import * else: import winreg from winreg import * def get(skey,name,root=HKEY_CURRENT_USER,returnType=True): ''' from qgb.Win import reg reg.get(r'Software\Microsoft\Windows\CurrentVersion\Internet Settings','ProxyEnable') reg.get(r'HKLM\SYSTEM\CurrentControlSet\Services\LanmanServer\Parameters\Size' ) There are seven predefined root keys, traditionally named according to their constant handles defined in the Win32 API skey不能包含 name，否则 FileNotFoundError: [WinError 2] 系统找不到指定的文件。 ''' r = OpenKey(root,skey) r = QueryValueEx(r,name) if returnType:return r[0],'{} : {}'.format(REG_TYPE[r[1]],r[1]) else :return r[0] def set(skey,name,value,root=HKEY_CURRENT_USER,type='auto,or REG_TYPE int',returnType=True): r = OpenKey(root,skey,0,KEY_SET_VALUE) if not py.isint(type): if py.isint(value):type=4 if py.istr(value):type=1 if py.isbyte(value):type=3 #TODO test,and add more rule SetValueEx(r,'ProxyEnable',0,type,value) if get(skey,name,root=root,returnType=False)==value: return 'reg.set [{}] {}={} sucess!'.format(skey[-55:],name,value) else: return 'reg.set [{}] {}={} Failed !'.format(skey,name,value) REG_TYPE={ 0 : 'REG_NONE', 1 : 'REG_SZ', 2 : 'REG_EXPAND_SZ', 3 : 'REG_BINARY', 4 : 'REG_DWORD', 5 : 'REG_DWORD_BIG_ENDIAN', 6 : 'REG_LINK', 7 : 'REG_MULTI_SZ', 8 : 'REG_RESOURCE_LIST', 9 : 'REG_FULL_RESOURCE_DESCRIPTOR', 10: 'REG_RESOURCE_REQUIREMENTS_LIST', 11: 'REG_QWORD'}

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null

0

null

0

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0

1

0ec65d0e2393fe675648f46032adc3e480a8ef52

1,032

py

Python

examples/resources.py

willvousden/clint

6dc7ab1a6a162750e968463b43994447bca32544

[ "0BSD" ]

1,230

2015-01-03T05:39:25.000Z

2020-02-18T12:36:03.000Z

examples/resources.py

willvousden/clint

6dc7ab1a6a162750e968463b43994447bca32544

[ "0BSD" ]

50

2015-01-06T17:58:20.000Z

2018-03-19T13:25:22.000Z

examples/resources.py

willvousden/clint

6dc7ab1a6a162750e968463b43994447bca32544

[ "0BSD" ]

153

2015-01-03T03:56:25.000Z

2020-02-13T20:59:03.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- from __future__ import print_function import sys import os sys.path.insert(0, os.path.abspath('..')) from clint import resources resources.init('kennethreitz', 'clint') lorem = 'Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.' print('%s created.' % resources.user.path) resources.user.write('lorem.txt', lorem) print('lorem.txt created') assert resources.user.read('lorem.txt') == lorem print('lorem.txt has correct contents') resources.user.delete('lorem.txt') print('lorem.txt deleted') assert resources.user.read('lorem.txt') == None print('lorem.txt deletion confirmed')

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null

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0ecb9ff079e3fe67fcf620b3218ea8892b9b9c1c

1,726

py

Python

utils/utils.py

scomup/StereoNet-ActiveStereoNet

05994cf1eec4a109e095732fe01ecb5558880ba5

[ "MIT" ]

null

utils/utils.py

scomup/StereoNet-ActiveStereoNet

05994cf1eec4a109e095732fe01ecb5558880ba5

[ "MIT" ]

null

utils/utils.py

scomup/StereoNet-ActiveStereoNet

05994cf1eec4a109e095732fe01ecb5558880ba5

[ "MIT" ]

null

# ------------------------------------------------------------------------------ # Copyright (c) NKU # Licensed under the MIT License. # Written by Xuanyi Li ([email protected]) # ------------------------------------------------------------------------------ import os import torch import torch.nn.functional as F #import cv2 as cv import numpy as np def GERF_loss(GT, pred, args): # mask = (GT < args.maxdisp) & (GT >= 0) mask = GT > 0 mask.detach_() # print(mask.size(), GT.size(), pred.size()) count = len(torch.nonzero(mask)) # print(count) if count == 0: count = 1 return torch.sum(torch.sqrt(torch.pow(GT[mask] - pred[mask], 2) + 4) /2 - 1) / count def smooth_L1_loss(GT, pred, args): mask = GT < args.maxdisp mask.detach_() # loss = F.smooth_l1_loss(pred[mask], GT[mask], size_average=True) loss = (pred[mask] - GT[mask]).abs().mean() return loss if __name__ == '__main__': pass # import matplotlib.pyplot as plt # image = cv.imread('/media/lxy/sdd1/ActiveStereoNet/StereoNet_pytorch/results/forvideo/iter-122.jpg') #im_gray = cv.imread('/media/lxy/sdd1/ActiveStereoNet/StereoNet_pytorch/results/forvideo/iter-133.jpg', cv.IMREAD_GRAYSCALE) # print(im_gray.shape) #im_color = cv.applyColorMap(im_gray*2, cv.COLORMAP_JET) # cv.imshow('test', im_color) # cv.waitKey(0) #cv.imwrite('test.png',im_color) # print(image.shape) # plt.figure('Image') # sc =plt.imshow(image) # sc.set_cmap('hsv') # plt.colorbar() # plt.axis('off') # plt.show() # print('end') # image[:,:,0].save('/media/lxy/sdd1/ActiveStereoNet/StereoNet_pytorch/results/pretrained_StereoNet_single/it1er-151.jpg')

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null

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1

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0ecd026a7b7cddee19fb7d65983aadf807f4917d

657

py

Python

rblod/setup.py

TiKeil/Two-scale-RBLOD

23f17a3e4edf63ea5f208eca50ca90c19bf511a9

[ "BSD-2-Clause" ]

null

rblod/setup.py

TiKeil/Two-scale-RBLOD

23f17a3e4edf63ea5f208eca50ca90c19bf511a9

[ "BSD-2-Clause" ]

null

rblod/setup.py

TiKeil/Two-scale-RBLOD

23f17a3e4edf63ea5f208eca50ca90c19bf511a9

[ "BSD-2-Clause" ]

null

# ~~~ # This file is part of the paper: # # " An Online Efficient Two-Scale Reduced Basis Approach # for the Localized Orthogonal Decomposition " # # https://github.com/TiKeil/Two-scale-RBLOD.git # # Copyright 2019-2021 all developers. All rights reserved. # License: Licensed as BSD 2-Clause License (http://opensource.org/licenses/BSD-2-Clause) # Authors: # Stephan Rave # Tim Keil # ~~~ from setuptools import setup setup(name='rblod', version='2021.1', description='Pymor support for RBLOD', author='Tim Keil', author_email='[email protected]', license='MIT', packages=['rblod'])

26.28

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null

0

null

0

1

0

1

0ecdf401d5b3926e749aa892bfa6a87de7f72b30

8,060

py

Python

bin/euclid_fine_plot_job_array.py

ndeporzio/cosmicfish

f68f779d73f039512a958d110bb44194d0daceec

[ "MIT" ]

null

bin/euclid_fine_plot_job_array.py

ndeporzio/cosmicfish

f68f779d73f039512a958d110bb44194d0daceec

[ "MIT" ]

null

bin/euclid_fine_plot_job_array.py

ndeporzio/cosmicfish

f68f779d73f039512a958d110bb44194d0daceec

[ "MIT" ]

null

import os import shutil import numpy as np import pandas as pd import seaborn as sns import cosmicfish as cf import matplotlib.pyplot as plt import dill # Instruct pyplot to use seaborn sns.set() # Set project, data, CLASS directories projectdir = os.environ['STORAGE_DIR'] datastore = os.environ['DATASTORE_DIR'] classpath = os.environ['CLASS_DIR'] fidx = int(os.environ['FORECAST_INDEX']) # Generate output paths fp_resultsdir = projectdir cf.makedirectory(fp_resultsdir) # Specify resolution of numerical integrals derivative_step = 0.008 # How much to vary parameter to calculate numerical derivative g_derivative_step = 0.1 mu_integral_step = 0.05 # For calculating numerical integral wrt mu between -1 and 1 # Linda Fiducial Cosmology fp_fid = { "A_s" : 2.2321e-9, "n_s" : 0.967, "omega_b" : 0.02226, "omega_cdm" : 0.1127, "tau_reio" : 0.0598, "h" : 0.701, "T_cmb" : 2.726, # Units [K] "N_ncdm" : 4., "deg_ncdm" : 1.0, "T_ncdm" : (0.79/2.726), # Units [T_cmb]. "m_ncdm" : 0.01, # Units [eV] "b0" : 1.0, "beta0" : 1.7, "beta1" : 1.0, "alphak2" : 1.0, "sigma_fog_0" : 250000, #Units [m s^-2] "N_eff" : 0.0064, #We allow relativistic neutrinos in addition to our DM relic "relic_vary" : "N_ncdm", # Fix T_ncdm or m_ncdm "m_nu" : 0.02 } # EUCLID values z_table = np.array([0.65, 0.75, 0.85, 0.95, 1.05, 1.15, 1.25, 1.35, 1.45, 1.55, 1.65, 1.75, 1.85, 1.95]) dNdz = np.array([2434.280, 4364.812, 4728.559, 4825.798, 4728.797, 4507.625, 4269.851, 3720.657, 3104.309, 2308.975, 1514.831, 1474.707, 893.716, 497.613]) skycover = 0.3636 # Run Fisher Forecast full_masses = np.geomspace(0.01, 10., 21) full_temps = np.array([0.79, 0.91, 0.94, 1.08]) mass_index=(fidx % 21) temp_index=(fidx // 21) masses = np.array([full_masses[mass_index]]) temps = np.array([full_temps[temp_index]]) omegacdm_set = np.array([ fp_fid['omega_cdm'] - ((masses/cf.NEUTRINO_SCALE_FACTOR)* np.power(tval / 1.95, 3.)) for tidx, tval in enumerate(temps)]) fp_fiducialset = [[ dict(fp_fid, **{ 'm_ncdm' : masses[midx], 'omega_cdm' : omegacdm_set[tidx, midx], 'T_ncdm' : temps[tidx]/2.726}) for midx, mval in enumerate(masses)] for tidx, tval in enumerate(temps)] fp_forecastset = [[cf.forecast( classpath, datastore, '2relic', fidval, z_table, "EUCLID", dNdz, fsky=skycover, dstep=derivative_step, gstep=g_derivative_step, RSD=True, FOG=True, AP=True, COV=True) for fididx, fidval in enumerate(fidrowvals)] for fidrowidx, fidrowvals in enumerate(fp_fiducialset)] #dill.load_session('') for frowidx, frowval in enumerate(fp_forecastset): for fidx, fcst in enumerate(frowval): if type(fcst.fisher)==type(None): fcst.gen_pm() fcst.gen_fisher( fisher_order=[ 'omega_b', 'omega_cdm', 'n_s', 'A_s', 'tau_reio', 'h', 'N_ncdm', 'M_ncdm', 'sigma_fog', 'beta0', 'beta1', 'alpha_k2'], mu_step=mu_integral_step, skipgen=False) print("Relic Forecast ", fidx, " complete...") dill.dump_session(os.path.join(fp_resultsdir, 'fp_'+str(temp_index)+'_'+str(mass_index)+'.db')) else: print('Fisher matrix already generated!')

65.528455

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0

null

0

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null

0

1

0ecedb23d891d612188b09f34a36b454a3d85a93

6,674

py

Python

src/oci/apm_traces/models/query_result_row_type_summary.py

Manny27nyc/oci-python-sdk

de60b04e07a99826254f7255e992f41772902df7

[ "Apache-2.0", "BSD-3-Clause" ]

249

2017-09-11T22:06:05.000Z

2022-03-04T17:09:29.000Z

src/oci/apm_traces/models/query_result_row_type_summary.py

Manny27nyc/oci-python-sdk

de60b04e07a99826254f7255e992f41772902df7

[ "Apache-2.0", "BSD-3-Clause" ]

228

2017-09-11T23:07:26.000Z

2022-03-23T10:58:50.000Z

src/oci/apm_traces/models/query_result_row_type_summary.py

Manny27nyc/oci-python-sdk

de60b04e07a99826254f7255e992f41772902df7

[ "Apache-2.0", "BSD-3-Clause" ]

224

2017-09-27T07:32:43.000Z

2022-03-25T16:55:42.000Z

# coding: utf-8 # Copyright (c) 2016, 2021, Oracle and/or its affiliates. All rights reserved. # This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose either license. from oci.util import formatted_flat_dict, NONE_SENTINEL, value_allowed_none_or_none_sentinel # noqa: F401 from oci.decorators import init_model_state_from_kwargs @init_model_state_from_kwargs class QueryResultRowTypeSummary(object): """ A summary of the datatype, unit and related metadata of an individual row element of a query result row that is returned. """ def __init__(self, **kwargs): """ Initializes a new QueryResultRowTypeSummary object with values from keyword arguments. The following keyword arguments are supported (corresponding to the getters/setters of this class): :param data_type: The value to assign to the data_type property of this QueryResultRowTypeSummary. :type data_type: str :param unit: The value to assign to the unit property of this QueryResultRowTypeSummary. :type unit: str :param display_name: The value to assign to the display_name property of this QueryResultRowTypeSummary. :type display_name: str :param expression: The value to assign to the expression property of this QueryResultRowTypeSummary. :type expression: str :param query_result_row_type_summaries: The value to assign to the query_result_row_type_summaries property of this QueryResultRowTypeSummary. :type query_result_row_type_summaries: list[oci.apm_traces.models.QueryResultRowTypeSummary] """ self.swagger_types = { 'data_type': 'str', 'unit': 'str', 'display_name': 'str', 'expression': 'str', 'query_result_row_type_summaries': 'list[QueryResultRowTypeSummary]' } self.attribute_map = { 'data_type': 'dataType', 'unit': 'unit', 'display_name': 'displayName', 'expression': 'expression', 'query_result_row_type_summaries': 'queryResultRowTypeSummaries' } self._data_type = None self._unit = None self._display_name = None self._expression = None self._query_result_row_type_summaries = None @property def data_type(self): """ Gets the data_type of this QueryResultRowTypeSummary. Datatype of the query result row element. :return: The data_type of this QueryResultRowTypeSummary. :rtype: str """ return self._data_type @data_type.setter def data_type(self, data_type): """ Sets the data_type of this QueryResultRowTypeSummary. Datatype of the query result row element. :param data_type: The data_type of this QueryResultRowTypeSummary. :type: str """ self._data_type = data_type @property def unit(self): """ Gets the unit of this QueryResultRowTypeSummary. Granular unit in which the query result row element's data is represented. :return: The unit of this QueryResultRowTypeSummary. :rtype: str """ return self._unit @unit.setter def unit(self, unit): """ Sets the unit of this QueryResultRowTypeSummary. Granular unit in which the query result row element's data is represented. :param unit: The unit of this QueryResultRowTypeSummary. :type: str """ self._unit = unit @property def display_name(self): """ Gets the display_name of this QueryResultRowTypeSummary. Alias name if an alias is used for the query result row element or an assigned display name from the query language in some default cases. :return: The display_name of this QueryResultRowTypeSummary. :rtype: str """ return self._display_name @display_name.setter def display_name(self, display_name): """ Sets the display_name of this QueryResultRowTypeSummary. Alias name if an alias is used for the query result row element or an assigned display name from the query language in some default cases. :param display_name: The display_name of this QueryResultRowTypeSummary. :type: str """ self._display_name = display_name @property def expression(self): """ Gets the expression of this QueryResultRowTypeSummary. Actual show expression in the user typed query that produced this column. :return: The expression of this QueryResultRowTypeSummary. :rtype: str """ return self._expression @expression.setter def expression(self, expression): """ Sets the expression of this QueryResultRowTypeSummary. Actual show expression in the user typed query that produced this column. :param expression: The expression of this QueryResultRowTypeSummary. :type: str """ self._expression = expression @property def query_result_row_type_summaries(self): """ Gets the query_result_row_type_summaries of this QueryResultRowTypeSummary. A query result row type summary object that represents a nested table structure. :return: The query_result_row_type_summaries of this QueryResultRowTypeSummary. :rtype: list[oci.apm_traces.models.QueryResultRowTypeSummary] """ return self._query_result_row_type_summaries @query_result_row_type_summaries.setter def query_result_row_type_summaries(self, query_result_row_type_summaries): """ Sets the query_result_row_type_summaries of this QueryResultRowTypeSummary. A query result row type summary object that represents a nested table structure. :param query_result_row_type_summaries: The query_result_row_type_summaries of this QueryResultRowTypeSummary. :type: list[oci.apm_traces.models.QueryResultRowTypeSummary] """ self._query_result_row_type_summaries = query_result_row_type_summaries def __repr__(self): return formatted_flat_dict(self) def __eq__(self, other): if other is None: return False return self.__dict__ == other.__dict__ def __ne__(self, other): return not self == other

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null

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null

0

1

0

1

0ed3370d325b05dcd0ff4ac3d8d74980237e624c

1,004

py

Python

anti_cpdaily/command.py

hyx0329/nonebot_plugin_anti_cpdaily

5868626fb95876f9638aaa1edd9a2f914ea7bed1

[ "MIT" ]

2

2021-11-07T10:33:16.000Z

2021-12-20T08:25:19.000Z

anti_cpdaily/command.py

hyx0329/nonebot_plugin_anti_cpdaily

5868626fb95876f9638aaa1edd9a2f914ea7bed1

[ "MIT" ]

null

anti_cpdaily/command.py

hyx0329/nonebot_plugin_anti_cpdaily

5868626fb95876f9638aaa1edd9a2f914ea7bed1

[ "MIT" ]

null

import nonebot from nonebot import on_command from nonebot.rule import to_me from nonebot.typing import T_State from nonebot.adapters import Bot, Event from nonebot.log import logger from .config import global_config from .schedule import anti_cpdaily_check_routine cpdaily = on_command('cpdaily') scheduler = nonebot.require("nonebot_plugin_apscheduler").scheduler async def one_shot_routine(): scheduler.remove_job('anti_cpdaily_oneshot') await anti_cpdaily_check_routine() @cpdaily.handle() async def handle_command(bot: Bot, event: Event, state: T_State): """ Manually activate the routine in 1 min """ if event.get_user_id() in bot.config.superusers: logger.debug('manually activate the cpdaily routine') # await anti_cpdaily_check_routine() scheduler.add_job(one_shot_routine, trigger='interval', minutes=1, id='anti_cpdaily_oneshot', replace_existing=True) logger.debug('manual process end') await cpdaily.finish('启动今日校园打卡程序ing')

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0ed495b3d64a671dbd7202470a06b2b18d6c7be4

155

py

Python

tests/inputs/loops/51-arrays-in-loop.py

helq/pytropos

497ed5902e6e4912249ca0a46b477f9bfa6ae80a

[ "MIT" ]

4

2019-10-06T18:01:24.000Z

2020-07-03T05:27:35.000Z

tests/inputs/loops/51-arrays-in-loop.py

helq/pytropos

497ed5902e6e4912249ca0a46b477f9bfa6ae80a

[ "MIT" ]

5

2021-06-07T15:50:04.000Z

2021-06-07T15:50:06.000Z

tests/inputs/loops/51-arrays-in-loop.py

helq/pytropos

497ed5902e6e4912249ca0a46b477f9bfa6ae80a

[ "MIT" ]

null

import numpy as np from something import Top i = 0 while i < 10: a = np.ndarray((10,4)) b = np.ones((10, Top)) i += 1 del Top # show_store()

12.916667

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null

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0ed9b178770e9775a60fa8ee66730cd786425565

448

py

Python

test/test_delete_group.py

ruslankl9/ironpython_training

51eaad4da24fdce60fbafee556160a9e847c08cf

[ "Apache-2.0" ]

null

test/test_delete_group.py

ruslankl9/ironpython_training

51eaad4da24fdce60fbafee556160a9e847c08cf

[ "Apache-2.0" ]

null

test/test_delete_group.py

ruslankl9/ironpython_training

51eaad4da24fdce60fbafee556160a9e847c08cf

[ "Apache-2.0" ]

null

from model.group import Group import random def test_delete_some_group(app): if len(app.group.get_group_list()) <= 1: app.group.add_new_group(Group(name='test')) old_list = app.group.get_group_list() index = random.randrange(len(old_list)) app.group.delete_group_by_index(index) new_list = app.group.get_group_list() assert len(old_list) - 1 == len(new_list) del old_list[index] assert old_list == new_list

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null

0

1

0eda1b4f399b44a556364cedf6c955fb55a3872c

2,355

py

Python

src/decisionengine/framework/modules/tests/test_module_decorators.py

moibenko/decisionengine

4c458e0c225ec2ce1e82d56e752724983331b7d1

[ "Apache-2.0" ]

9

2018-06-11T20:06:50.000Z

2020-10-01T17:02:02.000Z

src/decisionengine/framework/modules/tests/test_module_decorators.py

moibenko/decisionengine

4c458e0c225ec2ce1e82d56e752724983331b7d1

[ "Apache-2.0" ]

551

2018-06-25T21:06:37.000Z

2022-03-31T13:47:32.000Z

src/decisionengine/framework/modules/tests/test_module_decorators.py

goodenou/decisionengine

b203e2c493cf501562accf1013c6257c348711b7

[ "Apache-2.0" ]

70

2018-06-11T20:07:01.000Z

2022-02-10T16:18:24.000Z

# SPDX-FileCopyrightText: 2017 Fermi Research Alliance, LLC # SPDX-License-Identifier: Apache-2.0 import pytest from decisionengine.framework.modules import Publisher, Source from decisionengine.framework.modules.Module import verify_products from decisionengine.framework.modules.Source import Parameter def test_multiple_consumes_declarations(): with pytest.raises(Exception, match="@consumes has already been called"): @Publisher.consumes(a=int) @Publisher.consumes(b=float) class _(Publisher.Publisher): pass def test_multiple_produces_declarations(): with pytest.raises(Exception, match="@produces has already been called"): @Source.produces(c=str) @Source.produces(d=bool) class _(Source.Source): pass def test_wrong_product_names(): @Source.produces(a=str) class BMaker(Source.Source): def __init__(self, config): super().__init__(config) def acquire(self): return {"b": ""} maker = BMaker({"channel_name": "test"}) expected_err_msg = ( "The following products were not produced:\n" + " - 'a' of type 'str'\n\n" + "The following products were not declared:\n" + " - 'b' of type 'str'" ) with pytest.raises(Exception, match=expected_err_msg): verify_products(maker, maker.acquire()) def test_wrong_product_types(): @Source.produces(a=str, b=int) class AMaker(Source.Source): def __init__(self, config): super().__init__(config) def acquire(self): return {"a": 42, "b": 17} maker = AMaker({"channel_name": "test"}) expected_err_msg = "The following products have the wrong types:\n" + r" - 'a' $expected 'str', got 'int'$" with pytest.raises(Exception, match=expected_err_msg): verify_products(maker, maker.acquire()) def test_supports_config(): expected_err_msg = ( "An error occurred while processing the parameter 'conflicting_types':\n" + "The specified type 'int' conflicts with the type of the default value " + r"'hello' $type 'str'$" ) with pytest.raises(Exception, match=expected_err_msg): @Source.supports_config(Parameter("conflicting_types", type=int, default="hello")) class _(Source.Source): pass

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null

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null

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1

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1

0edc64834d9ac7d861217e389cda5a4bf52a203f

1,129

py

Python

musicscore/musicxml/types/complextypes/backup.py

alexgorji/music_score

b4176da52295361f3436826903485c5cb8054c5e

[ "MIT" ]

2

2020-06-22T13:33:28.000Z

2020-12-30T15:09:00.000Z

musicscore/musicxml/types/complextypes/backup.py

alexgorji/music_score

b4176da52295361f3436826903485c5cb8054c5e

[ "MIT" ]

37

2020-02-18T12:15:00.000Z

2021-12-13T20:01:14.000Z

musicscore/musicxml/types/complextypes/backup.py

alexgorji/music_score

b4176da52295361f3436826903485c5cb8054c5e

[ "MIT" ]

null

''' <xs:complexType name="backup"> <xs:annotation> <xs:documentation></xs:documentation> </xs:annotation> <xs:sequence> <xs:group ref="duration"/> <xs:group ref="editorial"/> </xs:sequence> </xs:complexType> ''' from musicscore.dtd.dtd import Sequence, GroupReference, Element from musicscore.musicxml.groups.common import Editorial from musicscore.musicxml.elements.note import Duration from musicscore.musicxml.types.complextypes.complextype import ComplexType class ComplexTypeBackup(ComplexType): """ The backup and forward elements are required to coordinate multiple voices in one part, including music on multiple staves. The backup type is generally used to move between voices and staves. Thus the backup element does not include voice or staff elements. Duration values should always be positive, and should not cross measure boundaries or mid-measure changes in the divisions value. """ _DTD = Sequence( Element(Duration), GroupReference(Editorial) ) def __init__(self, tag, *args, **kwargs): super().__init__(tag=tag, *args, **kwargs)

35.28125

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0

null

0

null

0

1

0

1

0ee1c3866e5f2d77866339896a7b340616b1337d

414

py

Python

Python tests/dictionaries.py

Johnny-QA/Python_training

a15de68195eb155c99731db3e4ff1d9d75681752

[ "Apache-2.0" ]

null

Python tests/dictionaries.py

Johnny-QA/Python_training

a15de68195eb155c99731db3e4ff1d9d75681752

[ "Apache-2.0" ]

null

Python tests/dictionaries.py

Johnny-QA/Python_training

a15de68195eb155c99731db3e4ff1d9d75681752

[ "Apache-2.0" ]

null

my_set = {1, 3, 5} my_dict = {'name': 'Jose', 'age': 90} another_dict = {1: 15, 2: 75, 3: 150} lottery_players = [ { 'name': 'Rolf', 'numbers': (13, 45, 66, 23, 22) }, { 'name': 'John', 'numbers': (14, 56, 80, 23, 22) } ] universities = [ { 'name': 'Oxford', 'location': 'UK' }, { 'name': 'MIT', 'location': 'US' } ]

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false

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null

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1

0

null

0

1

0ee4cfc2dd5204b72c6c610aac6abe376e79a7c9

3,765

py

Python

3-functions/pytest-exercises/test_functions.py

BaseCampCoding/python-fundamentals

3804c07841d6604b1e5a1c15126b3301aa8ae306

[ "MIT" ]

null

3-functions/pytest-exercises/test_functions.py

BaseCampCoding/python-fundamentals

3804c07841d6604b1e5a1c15126b3301aa8ae306

[ "MIT" ]

1

2018-07-18T18:01:22.000Z

2019-06-14T15:06:28.000Z

3-functions/pytest-exercises/test_functions.py

BaseCampCoding/python-fundamentals

3804c07841d6604b1e5a1c15126b3301aa8ae306

[ "MIT" ]

null

import functions from pytest import approx from bcca.test import should_print def test_add_em_up(): assert functions.add_em_up(1, 2, 3) == 6 assert functions.add_em_up(4, 5, 6) == 15 def test_sub_sub_hubbub(): assert functions.sub_sub_hubbub(1, 2, 3) == -4 def test_square_area(): assert functions.square_area(5, 5) == 25 assert functions.square_area(3, 5) == 15 assert functions.square_area(2, 2) == 4 def test_circle_area(): assert functions.circle_area(1) == approx(3.14) assert functions.circle_area(5) == approx(78.5) def test_kilometers_to_miles(): assert functions.kilometers_to_miles(1) == approx(0.6214) assert functions.kilometers_to_miles(.5) == approx(0.3107) assert functions.kilometers_to_miles(0) == approx(0.0) assert functions.kilometers_to_miles(40) == approx(24.855999999999998) @should_print def test_sales_tax_1(output): functions.sales_tax(1) assert output == """ Purchase Amount: 1 State Sales Tax: 0.04 County Sales Tax: 0.02 Total Sales Tax: 0.06 Total Cost: 1.06 """ @should_print def test_sales_tax_99_99(output): functions.sales_tax(99.99) assert output == """ Purchase Amount: 99.99 State Sales Tax: 3.9996 County Sales Tax: 1.9998 Total Sales Tax: 5.9994 Total Cost: 105.98939999999999 """ @should_print def test_sales_tax_5_95(output): functions.sales_tax(5.95) assert output == """ Purchase Amount: 5.95 State Sales Tax: 0.23800000000000002 County Sales Tax: 0.11900000000000001 Total Sales Tax: 0.35700000000000004 Total Cost: 6.307 """ def test_min_insurance(): assert functions.min_insurance(100000) == approx(80000.0) assert functions.min_insurance(123456789) == approx(98765431.2) assert functions.min_insurance(0) == approx(0.0) assert functions.min_insurance(-54317890) == approx(-43454312.0) @should_print def test_property_tax_10000(output): functions.property_tax(10000) assert output == ''' Assessment Value: 6000.0 Property Tax: 38.4 ''' @should_print def test_property_tax_99999_95(output): functions.property_tax(99999.95) assert output == ''' Assessment Value: 59999.969999999994 Property Tax: 383.999808 ''' def test_bmi(): assert functions.bmi(160, 67) == approx(25.05680552) assert functions.bmi(200, 72) == approx(27.12191358) assert functions.bmi(120, 60) == approx(23.43333333) def test_calories(): assert functions.calories(5, 20) == 125 assert functions.calories(1, 1) == 13 def test_earnings(): assert functions.earnings(100, 100, 100) == 3600 assert functions.earnings(50, 75, 100) == 2550 assert functions.earnings(0, 1000, 79) == 12711 @should_print def test_paint_job_estimator(output): functions.paint_job_estimator(50, 10) assert output == ''' Gallons of paint required: 0.43478260869565216 Hours of labor required: 3.4782608695652173 Cost of paint: 4.3478260869565215 Cost of labor: 69.56521739130434 Total Cost: 73.91304347826086 ''' @should_print def test_paint_job_estimator_2(output): functions.paint_job_estimator(750, 15.95) assert output == ''' Gallons of paint required: 6.521739130434782 Hours of labor required: 52.17391304347826 Cost of paint: 104.02173913043477 Cost of labor: 1043.4782608695652 Total Cost: 1147.5 ''' @should_print def test_monthly_sales_tax(output): functions.monthly_sales_tax(123456.79) assert output == ''' Monthly sales: 123456.79 State sales tax: 4938.2716 County sales tax: 2469.1358 Total sales tax: 7407.4074 ''' @should_print def test_monthly_sales_tax_2(output): functions.monthly_sales_tax(4321567.21) assert output == ''' Monthly sales: 4321567.21 State sales tax: 172862.6884 County sales tax: 86431.3442 Total sales tax: 259294.03260000004 '''

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0

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null

0

1

0

null

0

1

0eeba77c6034df540d6e02d1c1935e84c28bdcd9

10,427

py

Python

tools/archive/create_loadable_configs.py

madelinemccombe/iron-skillet

f7bb805ac5ed0f2b44e4b438f8c021eaf2f5c66b

[ "MIT" ]

null

tools/archive/create_loadable_configs.py

madelinemccombe/iron-skillet

f7bb805ac5ed0f2b44e4b438f8c021eaf2f5c66b

[ "MIT" ]

null

tools/archive/create_loadable_configs.py

madelinemccombe/iron-skillet

f7bb805ac5ed0f2b44e4b438f8c021eaf2f5c66b

[ "MIT" ]

null

# Copyright (c) 2018, Palo Alto Networks # # 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. # Author: Scott Shoaf <[email protected]> ''' Palo Alto Networks create_loadable_configs.py Provides rendering of configuration templates with user defined values Output is a set of loadable full configurations and set commands for Panos and Panorama Edit the config_variables.yaml values and then run the script This software is provided without support, warranty, or guarantee. Use at your own risk. ''' import datetime import os import shutil import sys import time import getpass import oyaml from jinja2 import Environment, FileSystemLoader from passlib.hash import des_crypt from passlib.hash import md5_crypt from passlib.hash import sha256_crypt from passlib.hash import sha512_crypt defined_filters = ['md5_hash', 'des_hash', 'sha512_hash'] def myconfig_newdir(myconfigdir_name, foldertime): ''' create a new main loadable_configs folder if required then new subdirectories for configs :param myconfigdir_name: prefix folder name from the my_variables.py file :param foldertime: datetime when script run; to be used as suffix of folder name :return: the myconfigdir full path name ''' # get the full path to the config directory we want (panos / panorama) myconfigpath = os.path.abspath(os.path.join('..', 'loadable_configs')) if os.path.isdir(myconfigpath) is False: os.mkdir(myconfigpath, mode=0o755) print('created new loadable config directory') # check that configs folder exists and if not create a new one # then create snippets and full sub-directories myconfigdir = '{0}/{1}-{2}'.format(myconfigpath, myconfigdir_name, foldertime) if os.path.isdir(myconfigdir) is False: os.mkdir(myconfigdir, mode=0o755) print('\ncreated new archive folder {0}-{1}'.format(myconfigdir_name, foldertime)) if os.path.isdir('{0}/{1}'.format(myconfigdir, config_type)) is False: os.mkdir('{0}/{1}'.format(myconfigdir, config_type)) print('created new subdirectories for {0}'.format(config_type)) return myconfigdir def create_context(config_var_file): # read the metafile to get variables and values try: with open(config_var_file, 'r') as var_metadata: variables = oyaml.safe_load(var_metadata.read()) except IOError as ioe: print(f'Could not open metadata file {config_var_file}') print(ioe) sys.exit() # grab the metadata values and convert to key-based dictionary jinja_context = dict() for snippet_var in variables['variables']: jinja_context[snippet_var['name']] = snippet_var['value'] return jinja_context def template_render(filename, template_path, render_type, context): ''' render the jinja template using the context value from config_variables.yaml :param filename: name of the template file :param template_path: path for the template file :param render_type: type if full or set commands; aligns with folder name :param context: dict of variables to render :return: return the rendered xml file and set conf file ''' print('..creating template for {0}'.format(filename)) env = Environment(loader=FileSystemLoader('{0}/{1}'.format(template_path, render_type))) # load our custom jinja filters here, see the function defs below for reference env.filters['md5_hash'] = md5_hash env.filters['des_hash'] = des_hash env.filters['sha512_hash'] = sha512_hash template = env.get_template(filename) rendered_template = template.render(context) return rendered_template def template_save(snippet_name, myconfigdir, config_type, element): ''' after rendering the template save to the myconfig directory each run saves with a unique prefix name + datetime :param snippet_name: name of the output file :param myconfigdir: path to the my_config directory :param config_type: based on initial run list; eg. panos or panorama :param element: xml element rendered based on input variables; used as folder name :param render_type: type eg. if full or snippets; aligns with folder name :return: no value returned (future could be success code) ''' print('..saving template for {0}'.format(snippet_name)) filename = snippet_name with open('{0}/{1}/{2}'.format(myconfigdir, config_type, filename), 'w') as configfile: configfile.write(element) # copy the variables file used for the render into the my_template folder var_file = 'loadable_config_vars/config_variables.yaml' if os.path.isfile('{0}/{1}'.format(myconfigdir, var_file)) is False: vfilesrc = var_file vfiledst = '{0}/{1}'.format(myconfigdir, var_file) shutil.copy(vfilesrc, vfiledst) return # define functions for custom jinja filters def md5_hash(txt): ''' Returns the MD5 Hashed secret for use as a password hash in the PanOS configuration :param txt: text to be hashed :return: password hash of the string with salt and configuration information. Suitable to place in the phash field in the configurations ''' return md5_crypt.hash(txt) def des_hash(txt): ''' Returns the DES Hashed secret for use as a password hash in the PanOS configuration :param txt: text to be hashed :return: password hash of the string with salt and configuration information. Suitable to place in the phash field in the configurations ''' return des_crypt.hash(txt) def sha256_hash(txt): ''' Returns the SHA256 Hashed secret for use as a password hash in the PanOS configuration :param txt: text to be hashed :return: password hash of the string with salt and configuration information. Suitable to place in the phash field in the configurations ''' return sha256_crypt.hash(txt) def sha512_hash(txt): ''' Returns the SHA512 Hashed secret for use as a password hash in the PanOS configuration :param txt: text to be hashed :return: password hash of the string with salt and configuration information. Suitable to place in the phash field in the configurations ''' return sha512_crypt.hash(txt) def replace_variables(config_type, render_type, input_var): ''' get the input variables and render the output configs with jinja2 inputs are read from the template directory and output to my_config :param config_type: panos or panorama to read/write to the respective directories :param archivetime: datetimestamp used for the output my_config folder naming ''' config_variables = 'config_variables.yaml' # create dict of values for the jinja template render context = create_context(config_variables) # update context dict with variables from user input for snippet_var in input_var: context[snippet_var] = input_var[snippet_var] # get the full path to the output directory we want (panos / panorama) template_path = os.path.abspath(os.path.join('..', 'templates', config_type)) # append to the sys path for module lookup sys.path.append(template_path) # output subdir located in loadable_configs dir myconfig_path = myconfig_newdir(input_var['output_dir'], input_var['archive_time']) # render full and set conf files print('\nworking with {0} config template'.format(render_type)) if render_type == 'full': filename = 'iron_skillet_{0}_full.xml'.format(config_type) if render_type == 'set_commands': filename = 'iron_skillet_{0}_full.conf'.format(config_type) element = template_render(filename, template_path, render_type, context) template_save(filename, myconfig_path, config_type, element) print('\nconfigs have been created and can be found in {0}'.format(myconfig_path)) print('along with the metadata values used to render the configs\n') return if __name__ == '__main__': # Use the timestamp to create a unique folder name print('=' * 80) print(' ') print('Welcome to Iron-Skillet'.center(80)) print(' ') print('=' * 80) input_var = {} # archive_time used as part of the my_config directory name input_var['archive_time'] = datetime.datetime.fromtimestamp(time.time()).strftime('%Y%m%d_%H%M%S') print('\ndatetime used for folder creation: {0}\n'.format(input_var['archive_time'])) # this prompts for the prefix name of the output directory input_var['output_dir'] = input('Enter the name of the output directory: ') # this prompts for the superuser username to be added into the configuration; no default admin/admin used input_var['ADMINISTRATOR_USERNAME'] = input('Enter the superuser administrator account username: ') print('\na phash will be created for superuser {0} and added to the config file\n'.format( input_var['ADMINISTRATOR_USERNAME'])) passwordmatch = False # prompt for the superuser password to create a phash and store in the my_config files; no default admin/admin while passwordmatch is False: password1 = getpass.getpass("Enter the superuser administrator account password: ") password2 = getpass.getpass("Enter password again to verify: ") if password1 == password2: input_var['ADMINISTRATOR_PASSWORD'] = password1 passwordmatch = True else: print('\nPasswords do not match. Please try again.\n') # loop through all config types that have their respective template folders for config_type in ['panos', 'panorama']: for render_type in ['full', 'set_commands']: replace_variables(config_type, render_type, input_var)

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null

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0eed163a13b8bf28c8e3cc3018df9acf80f8ef9a

199

py

Python

app/apis/__init__.py

FabienArcellier/blueprint-webapp-flask-restx

84bc9dbe697c4b0f6667d2a2d8144a3f934a307a

[ "MIT" ]

null

app/apis/__init__.py

FabienArcellier/blueprint-webapp-flask-restx

84bc9dbe697c4b0f6667d2a2d8144a3f934a307a

[ "MIT" ]

null

app/apis/__init__.py

FabienArcellier/blueprint-webapp-flask-restx

84bc9dbe697c4b0f6667d2a2d8144a3f934a307a

[ "MIT" ]

null

from flask_restx import Api from app.apis.hello import api as hello api = Api( title='api', version='1.0', description='', prefix='/api', doc='/api' ) api.add_namespace(hello)

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0

null

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1

0eed507c0a7d908570e5345420f87553a7bbdb5d

788

py

Python

main.py

poltavski/social-network-frontend

ccc3410e23e42cfc65efd811aba262ec88163481

[ "MIT" ]

null

main.py

poltavski/social-network-frontend

ccc3410e23e42cfc65efd811aba262ec88163481

[ "MIT" ]

null

main.py

poltavski/social-network-frontend

ccc3410e23e42cfc65efd811aba262ec88163481

[ "MIT" ]

null

from fastapi import FastAPI, Request, Response from fastapi.responses import HTMLResponse from fastapi.staticfiles import StaticFiles from fastapi.templating import Jinja2Templates from utils import get_page_data, process_initial import uvicorn app = FastAPI() templates = Jinja2Templates(directory="templates") app.mount("/static", StaticFiles(directory="static"), name="static") @app.get("/", response_class=HTMLResponse) async def home(request: Request): # Expect requests with cookies return process_initial(request) @app.get("/page", response_class=HTMLResponse) async def home(request: Request): # Expect requests with cookies return get_page_data(request) if __name__ == "__main__": uvicorn.run("main:app", host="127.0.0.1", port=8050, log_level="info")

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null

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null

0

1

0

1

0eed571d3bbd262c5cff9905eccfdacc18b2c6bf

4,515

py

Python

Core/Python/create_static_group.py

Ku-Al/OpenManage-Enterprise

5cc67435d7cedb091edb07311ed9dceeda43277f

[ "Apache-2.0" ]

null

Core/Python/create_static_group.py

Ku-Al/OpenManage-Enterprise

5cc67435d7cedb091edb07311ed9dceeda43277f

[ "Apache-2.0" ]

null

Core/Python/create_static_group.py

Ku-Al/OpenManage-Enterprise

5cc67435d7cedb091edb07311ed9dceeda43277f

[ "Apache-2.0" ]

null

# # Python script using OME API to create a new static group # # _author_ = Raajeev Kalyanaraman <[email protected]> # _version_ = 0.1 # # Copyright (c) 2020 Dell EMC Corporation # # 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. # """ SYNOPSIS: Script to create a new static group DESCRIPTION: This script exercises the OME REST API to create a new static group. The user is responsible for adding devices to the group once the group has been successfully created. For authentication X-Auth is used over Basic Authentication Note that the credentials entered are not stored to disk. EXAMPLE: python create_static_group.py --ip <xx> --user <username> --password <pwd> --groupname "Random Test Group" """ import json import argparse from argparse import RawTextHelpFormatter import urllib3 import requests def create_static_group(ip_address, user_name, password, group_name): """ Authenticate with OME and enumerate groups """ try: session_url = 'https://%s/api/SessionService/Sessions' % ip_address group_url = "https://%s/api/GroupService/Groups?$filter=Name eq 'Static Groups'" % ip_address headers = {'content-type': 'application/json'} user_details = {'UserName': user_name, 'Password': password, 'SessionType': 'API'} session_info = requests.post(session_url, verify=False, data=json.dumps(user_details), headers=headers) if session_info.status_code == 201: headers['X-Auth-Token'] = session_info.headers['X-Auth-Token'] response = requests.get(group_url, headers=headers, verify=False) if response.status_code == 200: json_data = response.json() if json_data['@odata.count'] > 0: # Technically there should be only one result in the filter group_id = json_data['value'][0]['Id'] group_payload = {"GroupModel": { "Name": group_name, "Description": "", "MembershipTypeId": 12, "ParentId": int(group_id)} } create_url = 'https://%s/api/GroupService/Actions/GroupService.CreateGroup' % ip_address create_resp = requests.post(create_url, headers=headers, verify=False, data=json.dumps(group_payload)) if create_resp.status_code == 200: print("New group created : ID =", create_resp.text) elif create_resp.status_code == 400: print("Failed group creation ...See error info below") print(json.dumps(create_resp.json(), indent=4, sort_keys=False)) else: print("Unable to retrieve group list from %s" % ip_address) else: print("Unable to create a session with appliance %s" % ip_address) except Exception as error: print("Unexpected error:", str(error)) if __name__ == '__main__': urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning) parser = argparse.ArgumentParser(description=__doc__, formatter_class=RawTextHelpFormatter) parser.add_argument("--ip", "-i", required=True, help="OME Appliance IP") parser.add_argument("--user", "-u", required=False, help="Username for OME Appliance", default="admin") parser.add_argument("--password", "-p", required=True, help="Password for OME Appliance") parser.add_argument("--groupname", "-g", required=True, help="A valid name for the group") args = parser.parse_args() create_static_group(args.ip, args.user, args.password, args.groupname)

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null

0

null

0

1

0

1

0ef391d627e7c29662611237b93dc0cbb0bb55b3

1,600

py

Python

tests/nls_smoother_test.py

sisl/CEEM

6154587fe3cdb92e8b7f70eedb1262caa1553cc8

[ "MIT" ]

5

2020-06-21T16:50:42.000Z

2021-03-14T04:02:01.000Z

tests/nls_smoother_test.py

sisl/CEEM

6154587fe3cdb92e8b7f70eedb1262caa1553cc8

[ "MIT" ]

1

2021-03-13T07:46:36.000Z

2021-03-16T05:14:47.000Z

tests/nls_smoother_test.py

sisl/CEEM

6154587fe3cdb92e8b7f70eedb1262caa1553cc8

[ "MIT" ]

1

2021-03-30T12:08:20.000Z

import torch from ceem.opt_criteria import * from ceem.systems import LorenzAttractor from ceem.dynamics import * from ceem.smoother import * from ceem import utils def test_smoother(): utils.set_rng_seed(1) torch.set_default_dtype(torch.float64) sigma = torch.tensor([10.]) rho = torch.tensor([28.]) beta = torch.tensor([8. / 3.]) C = torch.randn(2, 3) dt = 0.04 sys = LorenzAttractor(sigma, rho, beta, C, dt, method='midpoint') B = 1 T = 200 xs = [torch.randn(B, 1, 3)] for t in range(T - 1): xs.append(sys.step(torch.tensor([0.] * B), xs[-1])) x = torch.cat(xs, dim=1).detach() x.requires_grad = True y = sys.observe(0., x).detach() # y += torch.rand_like(y) * 0.01 t = torch.stack([torch.arange(T), torch.arange(T)]).to(torch.get_default_dtype()) x0 = torch.zeros_like(x) obscrit = GaussianObservationCriterion(torch.ones(2), t, y) dyncrit = GaussianDynamicsCriterion(torch.ones(3), t) # Test GroupSOSCriterion crit = GroupSOSCriterion([obscrit, dyncrit]) xsm, metrics = NLSsmoother(x0, crit, sys, solver_kwargs={'verbose': 2, 'tr_rho': 0.}) err = float((xsm - x).norm()) assert err < 1e-8, 'Smoothing Error: %.3e' % err print('Passed.') # Test BlockSparseGroupSOSCriterion crit = BlockSparseGroupSOSCriterion([obscrit, dyncrit]) xsm, metrics = NLSsmoother(torch.zeros_like(x), crit, sys) err = float((xsm - x).norm()) assert err < 1e-8, 'Smoothing Error: %.3e' % err print('Passed.') if __name__ == '__main__': test_smoother()

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null

0

null

0

1

0

1

160368ea260cbc50567d2f17656bb9f30dc2af47

3,494

py

Python

pydbhub/httphub.py

sum3105/pydbhub

501ea2c0ec7785bc06a38961a1366c3c04d7fabd

[ "MIT" ]

18

2021-06-03T14:27:55.000Z

2022-02-25T17:55:33.000Z

pydbhub/httphub.py

sum3105/pydbhub

501ea2c0ec7785bc06a38961a1366c3c04d7fabd

[ "MIT" ]

3

2021-06-20T07:17:51.000Z

2021-12-10T15:24:19.000Z

pydbhub/httphub.py

sum3105/pydbhub

501ea2c0ec7785bc06a38961a1366c3c04d7fabd

[ "MIT" ]

5

2021-06-29T09:50:40.000Z

2021-12-31T12:10:57.000Z

import pydbhub from typing import Any, Dict, List, Tuple from json.decoder import JSONDecodeError import requests import io def send_request_json(query_url: str, data: Dict[str, Any]) -> Tuple[List[Any], str]: """ send_request_json sends a request to DBHub.io, formatting the returned result as JSON Parameters ---------- query_url : str url of the API endpoint data : Dict[str, Any] data to be processed to the server. Returns ------- Tuple[List[Any], str] The returned data is - a list of JSON object. - a string describe error if occurs """ try: headers = {'User-Agent': f'pydbhub v{pydbhub.__version__}'} response = requests.post(query_url, data=data, headers=headers) response.raise_for_status() return response.json(), None except JSONDecodeError as e: return None, e.args[0] except TypeError as e: return None, e.args[0] except requests.exceptions.HTTPError as e: try: return response.json(), e.args[0] except JSONDecodeError: return None, e.args[0] except requests.exceptions.RequestException as e: cause = e.args(0) return None, str(cause.args[0]) def send_request(query_url: str, data: Dict[str, Any]) -> Tuple[List[bytes], str]: """ send_request sends a request to DBHub.io. Parameters ---- query_url : str url of the API endpoint data : Dict[str, Any] data to be processed to the server.------ Returns ------- List[bytes] database file is returned as a list of bytes """ try: headers = {'User-Agent': f'pydbhub v{pydbhub.__version__}'} response = requests.post(query_url, data=data, headers=headers) response.raise_for_status() return response.content, None except requests.exceptions.HTTPError as e: return None, e.args[0] except requests.exceptions.RequestException as e: cause = e.args(0) return None, str(cause.args[0]) def send_upload(query_url: str, data: Dict[str, Any], db_bytes: io.BufferedReader) -> Tuple[List[Any], str]: """ send_upload uploads a database to DBHub.io. Parameters ---------- query_url : str url of the API endpoint. data : Dict[str, Any] data to be processed to the server. db_bytes : io.BufferedReader A buffered binary stream of the database file. Returns ------- Tuple[List[Any], str] The returned data is - a list of JSON object. - a string describe error if occurs """ try: headers = {'User-Agent': f'pydbhub v{pydbhub.__version__}'} files = {"file": db_bytes} response = requests.post(query_url, data=data, headers=headers, files=files) response.raise_for_status() if response.status_code != 201: # The returned status code indicates something went wrong try: return response.json(), str(response.status_code) except JSONDecodeError: return None, str(response.status_code) return response.json(), None except requests.exceptions.HTTPError as e: try: return response.json(), e.args[0] except JSONDecodeError: return None, e.args[0] except requests.exceptions.RequestException as e: cause = e.args(0) return None, str(cause.args[0])

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null

0

1

0

null

0

1

1608a15c941a14be0a253388b661310efd0d4787

2,834

py

Python

MultirangerTest.py

StuartLiam/DroneNavigationOnboard

11ac6a301dfc72b15e337ddf09f5ddc79265a03f

[ "MIT" ]

null

MultirangerTest.py

StuartLiam/DroneNavigationOnboard

11ac6a301dfc72b15e337ddf09f5ddc79265a03f

[ "MIT" ]

null

MultirangerTest.py

StuartLiam/DroneNavigationOnboard

11ac6a301dfc72b15e337ddf09f5ddc79265a03f

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- # # || ____ _ __ # +------+ / __ )(_) /_______________ _____ ___ # | 0xBC | / __ / / __/ ___/ ___/ __ `/_ / / _ \ # +------+ / /_/ / / /_/ /__/ / / /_/ / / /_/ __/ # || || /_____/_/\__/\___/_/ \__,_/ /___/\___/ # # Copyright (C) 2017 Bitcraze AB # # Crazyflie Python Library # # This program is free software; you can redistribute it and/or # modify it under the terms of the GNU General Public License # as published by the Free Software Foundation; either version 2 # of the License, or (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # You should have received a copy of the GNU General Public License # along with this program; if not, write to the Free Software # Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, # MA 02110-1301, USA. """ Example scipts that allows a user to "push" the Crazyflie 2.0 around using your hands while it's hovering. This examples uses the Flow and Multi-ranger decks to measure distances in all directions and tries to keep away from anything that comes closer than 0.2m by setting a velocity in the opposite direction. The demo is ended by either pressing Ctrl-C or by holding your hand above the Crazyflie. For the example to run the following hardware is needed: * Crazyflie 2.0 * Crazyradio PA * Flow deck * Multiranger deck """ import logging import sys import time import cflib.crtp from cflib.crazyflie import Crazyflie from cflib.crazyflie.syncCrazyflie import SyncCrazyflie from cflib.positioning.motion_commander import MotionCommander from cflib.utils.multiranger import Multiranger import matplotlib.pyplot as plt from matplotlib.pyplot import figure import matplotlib.patches as patches URI = 'radio://0/80/2M' if len(sys.argv) > 1: URI = sys.argv[1] # Only output errors from the logging framework logging.basicConfig(level=logging.ERROR) def is_close(range): MIN_DISTANCE = 0.2 # m if range is None: return False else: return range < MIN_DISTANCE if __name__ == '__main__': # Initialize the low-level drivers (don't list the debug drivers) cflib.crtp.init_drivers(enable_debug_driver=False) rangeArray = [] cf = Crazyflie(rw_cache='./cache') with SyncCrazyflie(URI, cf=cf) as scf: with MotionCommander(scf) as motion_commander: with Multiranger(scf) as multiranger: motion_commander.start_turn_left(90) rangeArray.append(multiranger.front) time.sleep(0.05) plt.plot(rangeArray)

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null

0

1

0

1

160c8a87b1d001ed3cb1d85873c9a8a8f238d3b2

6,537

py

Python

lessons/sqlite_example/database.py

eliranM98/python_course

d9431dd6c0f27fca8ca052cc2a821ed0b883136c

[ "MIT" ]

6

2019-03-29T06:14:53.000Z

2021-10-15T23:42:36.000Z

lessons/sqlite_example/database.py

eliranM98/python_course

d9431dd6c0f27fca8ca052cc2a821ed0b883136c

[ "MIT" ]

4

2019-09-06T10:03:40.000Z

2022-03-11T23:30:55.000Z

lessons/sqlite_example/database.py

eliranM98/python_course

d9431dd6c0f27fca8ca052cc2a821ed0b883136c

[ "MIT" ]

12

2019-06-20T19:34:52.000Z

2021-10-15T23:42:39.000Z

""" in this example we want to create a user credentials database with: user_id & password logger showing connection logs, DB version, errors during fetching & executing """ import sqlite3 from lessons.sqlite_example.log import create as create_logger class Commands: create_users_table = ''' CREATE TABLE IF NOT EXISTS users ( id INTEGER PRIMARY KEY AUTOINCREMENT, user_id text, password text ); ''' add_user = 'INSERT INTO users (user_id, password) VALUES (\'{}\', \'{}\');' get_users = 'SELECT user_id, password FROM users;' get_user_by_user_id = 'SELECT user_id, password FROM users WHERE user_id = \'{}\';' get_user_by_id = 'SELECT user_id, password FROM users WHERE id = \'{}\';''' get_last_user = 'SELECT user_id, password FROM users ORDER BY ID DESC LIMIT 1' drop_table = 'DROP TABLE IF EXISTS {};' class DataBase: """ create a database connection to the SQLite database specified by db_file :param db_file: database file """ def __init__(self, db_file, log, commands=None): """ database connection """ try: self.log = log self.log.info('connecting to database') self.connection = sqlite3.connect(db_file) self.cursor = self.connection.cursor() self.log.info('connection success') self.log.info('sqlite3 version {}'.format(sqlite3.version)) if commands is None: commands = Commands self.command = commands except Exception as e: self.log.exception(e) raise Exception(e) def execute(self, command, *args, **kwargs): try: return self.cursor.execute(command) except Exception as e: self.log.exception(e) def fetch(self, command=None, *args, **kw): if command is not None: self.execute(command) try: return self.cursor.fetchall() except Exception as e: self.log.exception(e) def export_from_table_to_file(self, table, file_name, titles, permission='w'): try: self.cursor.execute("select * from {}".format(table)) table_list = self.cursor.fetchall() with open(file_name, permission) as f: f.write(','.join(titles) + '\n') for i in table_list: s = [] for a in i: s.append(str(a)) f.write(','.join(s) + '\n') except Exception as e: self.log.exception(e) def fetch_log(self, *args, **kw): rows = self.fetch(*args, **kw) if rows is not None: for r in rows: self.log.info(r) return rows class DataBaseExtention(DataBase): # def get_user_credentials(self, user=None, id=None): # users = self.fetch(self.command.get_users) # if user is not None: # for i in users: # if user in i: # return i # if id is not None: # return users[id][1:] # return users[-1][1:] def get_user_credentials(self, user=None, id=None): if user is not None: user_credentials = self.fetch(self.command.get_user_by_user_id.format(user)) elif id is not None: user_credentials = self.fetch(self.command.get_user_by_id.format(id)) else: user_credentials = self.fetch(self.command.get_last_user) if len(user_credentials) > 0: return user_credentials[0] if "__main__" == __name__: import os log_file = os.path.dirname(os.path.abspath(__file__)) + '\\log.txt' db_file = os.path.dirname(os.path.abspath(__file__)) + '\\db.db' log = create_logger(log_file=log_file) database = DataBaseExtention(db_file, log) # @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ # database.execute(database.command.drop_table.format('users')) # database.execute(database.command.create_users_table) # database.execute(database.command.add_user.format('cs0008', '123123a')) # database.execute(database.command.add_user.format('af0006', '123123a')) # database.execute(database.command.add_user.format('jh0003', '123123a')) # database.execute(database.command.add_user.format('kb0004', '123123a')) # database.execute(database.command.add_user.format('op0001', '123123a')) # database.execute(database.command.add_user.format('gv0001', '123123a')) # database.execute(database.command.add_user.format('pm0001', '123123a')) # database.execute(database.command.add_user.format('ps0001', '123123a')) # database.execute(database.command.add_user.format('qa0000', '123123a')) # user_credentials = database.get_user_credentials(id='14') # database.connection.commit() # database.connection.close() # print(user_credentials) # create a simple database with websites table that includes ( # url: varchar(1024), # popularity_score: integer, # monthly_visitations: integer # ) # database.command.create_websites_table = ''' # CREATE TABLE IF NOT EXISTS websites ( # id INTEGER PRIMARY KEY AUTOINCREMENT, # url TEXT, # popularity_score INTEGER, # monthly_visitations INTEGER # ) # ''' # database.command.add_website = 'INSERT INTO websites (url, popularity_score, monthly_visitations) VALUES (\'{}\', \'{}\', \'{}\');' # database.execute(database.command.create_websites_table) # database.execute(database.command.add_website.format('https://www.google.com', 5, 4000000000)) # database.execute(database.command.add_website.format('https://www.ynet.com', 3, 5000000)) # database.execute(database.command.add_website.format('https://www.youtube.com', 6, 1300000000)) # database.execute(database.command.add_website.format('https://www.python.org', 5, 1000000)) # database.command.get_site = 'SELECT url, popularity_score, monthly_visitations FROM websites WHERE url = \'{}\';' # url, popularity, visitations = database.fetch(database.command.get_site.format('https://www.python.org'))[0] # # print(url, popularity, visitations) database.export_from_table_to_file( table='websites', file_name='exported.csv', titles=('id', 'url', 'popularity_score', 'monthly_visitations') ) # database.connection.commit() database.connection.close()

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0.133029

0.048743

0

0.02949

0.24782

6,537

165

138

39.618182

0.771609

0.420223

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0.162038

0

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0.071429

0.035714

0

0.27381

0

null

0

null

0

1

0

1

1612dd8d2c7befa9fffd9b219b0f1e9b1d9948d5

508

py

Python

Dataset/Leetcode/train/7/93.py

kkcookies99/UAST

fff81885aa07901786141a71e5600a08d7cb4868

[ "MIT" ]

null

Dataset/Leetcode/train/7/93.py

kkcookies99/UAST

fff81885aa07901786141a71e5600a08d7cb4868

[ "MIT" ]

null

Dataset/Leetcode/train/7/93.py

kkcookies99/UAST

fff81885aa07901786141a71e5600a08d7cb4868

[ "MIT" ]

null

class Solution: def XXX(self, x: int) -> int: def solve(x): a = list(map(int,str(x))) p = {} d=0 for ind, val in enumerate(a): p[ind] = val for i, v in p.items(): d += v*(10**i) if (2**31 - 1>= d >= -(2**31)): return d else: return 0 if x>=0: return (solve(x)) if x<0: x = -x return (-solve(x))

24.190476

43

0.324803

65

508

2.538462

0.461538

0.109091

0.048485

0

0.054393

0.529528

508

20

44

25.4

0.635983

0

1

0.105263

false

0

0.368421

0

null

0

1

0

null

0

1

1614bfb3f4849c9afe583c49f1da9a5698654285

2,648

py

Python

dist/weewx-4.0.0b3/bin/weewx/junk2.py

v0rts/docker-weewx

70b2f252051dfead4fcb74e74662b297831e6342

[ "Apache-2.0" ]

10

2017-01-05T17:30:48.000Z

2021-09-18T15:04:20.000Z

dist/weewx-4.0.0b3/bin/weewx/junk2.py

v0rts/docker-weewx

70b2f252051dfead4fcb74e74662b297831e6342

[ "Apache-2.0" ]

2

2019-07-21T10:48:42.000Z

2022-02-16T20:36:45.000Z

dist/weewx-4.0.0b3/bin/weewx/junk2.py

v0rts/docker-weewx

70b2f252051dfead4fcb74e74662b297831e6342

[ "Apache-2.0" ]

12

2017-01-05T18:50:30.000Z

2021-10-05T07:35:45.000Z

from __future__ import print_function import time import weeutil.weeutil import weewx.manager import weewx.xtypes archive_sqlite = {'database_name': '/home/weewx/archive/weepwr.sdb', 'driver': 'weedb.sqlite'} archive_mysql = {'database_name': 'weewx', 'user': 'weewx', 'password': 'weewx', 'driver': 'weedb.mysql'} sql_str = "SELECT %s(%s), MIN(usUnits), MAX(usUnits) FROM %s " \ "WHERE dateTime > ? AND dateTime <= ?" % ('avg', 'outTemp', 'archive') timespan = weeutil.weeutil.TimeSpan(1573245000, 1573246800) timespan = weeutil.weeutil.TimeSpan(1573245000, 1573245000 + 600) print('timespan=', timespan) with weewx.manager.Manager.open(archive_sqlite) as db_manager: interpolate_dict = { 'aggregate_type': 'diff', 'obs_type': 'ch8_a_energy2', 'table_name': db_manager.table_name, 'start': timespan.start, 'stop': timespan.stop, } SQL_TEMPLATE = "SELECT (ch8_a_energy2 - (SELECT ch8_a_energy2 FROM archive WHERE dateTime=%(start)s)) / (%(stop)s - %(start)s) FROM archive WHERE dateTime=%(stop)s;" SQL_TEMPLATE = """Select a.dateTime as StartTime , b.dateTime as EndTime , b.dateTime-a.dateTime as TimeChange , b.ch8_a_energy2-a.ch8_a_energy2 as ValueChange FROM archive a Inner Join archive b ON b.dateTime>=1573245000 AND b.dateTime<=(1573245000 + 600)""" SQL_TEMPLATE = """Select a.dateTime as StartTime, b.datetime as EndTime, b.dateTime-a.dateTime as TimeChange, b.ch8_a_energy2-a.ch8_a_energy2 as ValueChange FROM archive a, archive b WHERE b.dateTime = (Select MAX(c.dateTime) FROM archive c WHERE c.dateTime<=(1573245000+600)) AND a.dateTime = (SELECT MIN(dateTime) FROM archive WHERE dateTime>=1573245000);""" SQL_TEMPLATE = """Select a.dateTime as StartTime, b.datetime as EndTime, b.dateTime-a.dateTime as TimeChange, b.ch8_a_energy2-a.ch8_a_energy2 as ValueChange FROM archive a, archive b WHERE b.dateTime = (Select MAX(dateTime) FROM archive WHERE dateTime<=(1573245000+600)) AND a.dateTime = (SELECT MIN(dateTime) FROM archive WHERE dateTime>=1573245000);""" SQL_TEMPLATE = "SELECT (b.%(obs_type)s - a.%(obs_type)s) / (b.dateTime-a.dateTime) "\ "FROM archive a, archive b "\ "WHERE b.dateTime = (SELECT MAX(dateTime) FROM archive WHERE dateTime <= %(stop)s) "\ "AND a.dateTime = (SELECT MIN(dateTime) FROM archive WHERE dateTime >= %(start)s);" sql_stmt = SQL_TEMPLATE % interpolate_dict print(sql_stmt) # Get the number of records with db_manager.connection.cursor() as cursor: for row in cursor.execute(sql_stmt): print(row)

50.923077

203

0.692976

362

2,648

4.933702

0.209945

0.073908

0.055431

0.094065

0.532475

0.487682

0.448488

0

0.059743

0.178248

2,648

51

204

51.921569

0.761029

0.009441

0

0.05

0

0.2

0.6219

0.135063

0

1

0

false

0.025

0.125

0

0.125

0.1

0

null

0

1

0

null

0

1

161a0260062e641dc32fc774ac4b854148c5381e

3,310

py

Python

src/requester/py/ElevatorTestCaseList.py

akzare/Elevator_Sys_Design

2f7d7381d68699515a43ec4cf7a8a8afade726f3

[ "MIT" ]

1

2020-09-03T06:36:22.000Z

src/requester/py/ElevatorTestCaseList.py

akzare/Elevator_Sys_Design

2f7d7381d68699515a43ec4cf7a8a8afade726f3

[ "MIT" ]

null

src/requester/py/ElevatorTestCaseList.py

akzare/Elevator_Sys_Design

2f7d7381d68699515a43ec4cf7a8a8afade726f3

[ "MIT" ]

null

''' * @file ElevatorTestCaseList.py * @author Armin Zare Zadeh * @date 30 July 2020 * @version 0.1 * @brief Implements a class to hold all the test cases during the program life cycle. ''' #!/usr/bin/env python3 import sys import ctypes import ElevatorConfig as cfg import ElevatorMsgProtocol as msgProto class ElevatorTestCaseList: ''' This class builds a test case list out of the configuration and holds it during the runtime ''' def __init__(self, config): self.config = config self.CallGoTCList = [] def create_testcase_list(self): ''' Creates a test case list out of the configuration ''' # ############################################################ # Construct 'call' test cases for k in self.config.test_case['call'].keys(): msgHdr = msgProto.MsgHeader(tx_node_addr = self.config.test_case['call'][k][0], rx_node_addr = self.config.test_case['call'][k][1], msg_id = self.config.test_case['call'][k][2], msg_class = self.config.test_case['call'][k][3], hdr_len = self.config.network['packet_header_len'], payload_len = self.config.network['packet_payload_req_len']) self.CallGoTCList.append(msgProto.EncodeReqPacket(msg_header = msgHdr, time_tag = self.config.test_case['call'][k][4], req_typ = self.config.usr_request['call'], floor_num = self.config.test_case['call'][k][5], direction = self.config.test_case['call'][k][6], go_msg_id = self.config.test_case['call'][k][7], state = msgProto.CallGoState.READY2GO)) # ############################################################ # Construct 'go' test cases for k in self.config.test_case['go'].keys(): msgHdr = msgProto.MsgHeader(tx_node_addr = self.config.test_case['go'][k][0], rx_node_addr = self.config.test_case['go'][k][1], msg_id = self.config.test_case['go'][k][2], msg_class = self.config.test_case['go'][k][3], hdr_len = self.config.network['packet_header_len'], payload_len = self.config.network['packet_payload_req_len']) self.CallGoTCList.append(msgProto.EncodeReqPacket(msg_header = msgHdr, time_tag = self.config.test_case['go'][k][4], req_typ = self.config.usr_request['go'], floor_num = self.config.test_case['go'][k][5], direction = 0, go_msg_id = 0, state = msgProto.CallGoState.RESET))

50.151515

105

0.459517

327

3,310

4.461774

0.30581

0.164496

0.15353

0.197395

0.654558

0.650446

0.583962

0.396162

0.309801

0

0.013205

0.405136

3,310

65

106

50.923077

0.727781

0.124773

0

0.162162

0

0.049156

0.016141

0

1

0.054054

false

0

0.108108

0

0.189189

0

null

0

1

0

null

0

1

16262857a0ab051d70328d47ffe56eedbe48f8d3

1,259

py

Python

tpp/controller/ConversionController.py

pennyarcade/TPPP

9bb6db774d77f74c54ed2fa004e97c1aa114fff9

[ "MIT" ]

null

tpp/controller/ConversionController.py

pennyarcade/TPPP

9bb6db774d77f74c54ed2fa004e97c1aa114fff9

[ "MIT" ]

null

tpp/controller/ConversionController.py

pennyarcade/TPPP

9bb6db774d77f74c54ed2fa004e97c1aa114fff9

[ "MIT" ]

null

""" Implements a non interactive controller to controt non-interactive visualizers. (i.e. those that are used for converting TPP souce code into another format) """ from tpp.FileParser import FileParser from tpp.controller.TPPController import TPPController class ConversionController(TPPController): """ Implements a non interactive controller to run non-interactive visualizers. (i.e. those that are used for converting TPP source code into another format) """ def __init__(self, input_file, output, visualizer_class): """ Todo: ApiDoc. :rtype: :param input: :param output: :param visualizer_class: """ super(ConversionController, self).__init__() parser = FileParser(input_file) self.pages = parser.get_pages() self.vis = visualizer_class(output) def run(self): """ Todo: ApiDoc. :return: """ for page in self.pages: while True: eop = page.is_eop() self.vis.visualize(page.next_line(), eop) if eop: break def close(self): """ Todo: ApiDoc. :return: """ self.vis.close()

24.686275

81

0.590151

134

1,259

5.425373

0.440299

0.077029

0.038514

0.068776

0.264099

0.162311

0

0.317712

1,259

50

82

25.18

0.846333

0.347101

0

0.06

0

1

0.176471

false

0

0.117647

0

0.352941

0

null

0

null

0

1

0

1

1627fcf089cd43ce83004fbce276962343e2f2c7

785

py

Python

wow/wow.py

brisberg/Kiri-Cogs

9a5307ff8fbaa5e0560ec518cf26df52347da98d

[ "MIT" ]

null

wow/wow.py

brisberg/Kiri-Cogs

9a5307ff8fbaa5e0560ec518cf26df52347da98d

[ "MIT" ]

null

wow/wow.py

brisberg/Kiri-Cogs

9a5307ff8fbaa5e0560ec518cf26df52347da98d

[ "MIT" ]

null

import discord from discord.ext import commands class WowCog: """Custom Cog that had commands for WoW Memes""" def __init__(self, bot): self.bot = bot async def _play(self, url, ctx): """Helper for aliasing Play in the Audio module""" audio = self.bot.get_cog('Audio') if not audio: await self.bot.say("Audio module required. Load with: {}load audio".format(ctx.prefix)) return await ctx.invoke(audio.play, url_or_search_terms=url) @commands.command(pass_context=True, no_pm=True) async def flamewreath(self, ctx): """I will not move when Flame Wreath is cast!""" await self._play("https://www.youtube.com/watch?v=gcA6y7sxKcA", ctx) def setup(bot): bot.add_cog(WowCog(bot))

29.074074

99

0.64586

113

785

4.371681

0.59292

0.05668

0

0.003333

0.235669

785

26

100

30.192308

0.82

0.053503

0

0.147105

0

1

0.125

false

0.0625

0.125

0

0.375

0

null

0

null

0

1

0

1

1631aec82f9bb8a63392680178fdfa614b25b1c9

10,654

py

Python

shardDesigner/shardTemplateDir/shardStemDir/log/elast.py

vinci-project/rootShard

2f6633c7fb1c1b690c0a38ffbb16af0b50d532bb

[ "MIT" ]

null

shardDesigner/shardTemplateDir/shardStemDir/log/elast.py

vinci-project/rootShard

2f6633c7fb1c1b690c0a38ffbb16af0b50d532bb

[ "MIT" ]

7

2020-03-02T11:23:41.000Z

2022-03-11T23:52:51.000Z

shardDesigner/shardTemplateDir/shardStemDir/log/elast.py

vinci-project/rootShard

2f6633c7fb1c1b690c0a38ffbb16af0b50d532bb

[ "MIT" ]

null

import elasticsearch from elasticsearch import Elasticsearch from elasticsearch import helpers import time, json, datetime, os class elalog: def __init__(self, date): es_host = os.getenv("ES_PORT_9200_TCP_ADDR") or '<%ELASTICIP%>' es_port = os.getenv("ES_PORT_9200_TCP_PORT") or '9200' self.lastDate = date self.es = Elasticsearch([{'host': es_host, 'port': es_port}]) # BLOCKS INDEX self.blocks_index_name = "blocks-" + date self.block_mapping = { "settings": { "number_of_shards": 5, "number_of_replicas": 0 }, "mappings": { "blocks-" + date: { "properties": { "@dtime": { "type": "date", "format": "epoch_second" }, "hash": { "type": "text" }, "signatures": { "type": "text" }, "tcount": { "type": "long" }, "validator": { "type": "text", "fielddata": True }, "bheight": { "type": "long" } } } } } if self.es.indices.exists(self.blocks_index_name): try: self.es.indices.delete(index=self.blocks_index_name) self.es.indices.create(index=self.blocks_index_name, body=self.block_mapping) except elasticsearch.ElasticsearchException as es1: print("Elastic exception on create Indicies:", es1) else: self.es.indices.create(index=self.blocks_index_name, body=self.block_mapping) # TRANSACTIONS INDEX self.transactions_index_name = "transactions-" + date self.transactions_mapping = { "settings": { "number_of_shards": 5, "number_of_replicas": 0 }, "mappings": { "transactions-" + date: { "properties": { "@dtime": { "type": "date", "format": "epoch_second" }, "sender": { "type": "text", "fielddata": True }, "receiver": { "type": "text", "fielddata": True }, "token_count": { "type": "float" }, "token_type": { "type": "text", "fielddata": True }, "hash": { "type": "text" }, "block": { "type": "long" } } } } } if self.es.indices.exists(self.transactions_index_name): try: self.es.indices.delete(index=self.transactions_index_name) self.es.indices.create(index=self.transactions_index_name, body=self.transactions_mapping) except elasticsearch.ElasticsearchException as es1: print("Elastic exception on create Indicies:", es1) else: self.es.indices.create(index=self.transactions_index_name, body=self.transactions_mapping) # BALANCE HISTORY self.balance_index_name = "balance" self.balance_mapping = { "settings": { "number_of_shards": 5, "number_of_replicas": 0 }, "mappings": { "balance": { "properties": { "@dtime": { "type": "date", "format": "epoch_second" }, "user": { "type": "text", "fielddata": True }, "balance": { "type": "float" } } } } } if self.es.indices.exists(self.balance_index_name): try: self.es.indices.delete(index=self.balance_index_name) self.es.indices.create(index=self.balance_index_name, body=self.balance_mapping) except elasticsearch.ElasticsearchException as es1: print("Elastic exception on create Indicies:", es1) else: self.es.indices.create(index=self.balance_index_name, body=self.balance_mapping) # VALIDATOR STATISTIC self.clients_index_name = "clients" self.clients_mapping = { "settings": { "number_of_shards": 5, "number_of_replicas": 0 }, "mappings": { "clients": { "properties": { "@dtime": { "type": "date", "format": "epoch_second" }, "ip": { "type": "ip" }, "geoip": { "properties": { "city_name": { "type": "text" }, "continent_name": { "type": "text" }, "country_iso_code": { "type": "text" }, "location": { "type": "geo_point" }, "region_name": { "type": "text" } } }, "public_key": { "type": "text", "fielddata": True }, "client_type": { "type": "text", "fielddata": True } } } } } if self.es.indices.exists(self.clients_index_name): try: self.es.indices.delete(index=self.clients_index_name) self.es.indices.create(index=self.clients_index_name, body=self.clients_mapping) except elasticsearch.ElasticsearchException as es1: print("Elastic exception on create Indicies:", es1) else: self.es.indices.create(index=self.clients_index_name, body=self.clients_mapping) def elasticClients(self, jsons:list): try: helpers.bulk(self.es, jsons) except elasticsearch.ElasticsearchException as es1: print("Elastic exception on save Validators:", es1) print("Save Validators in elastic!") def elasticBlock(self, timestamp:float, validator:str, tcount:int, signatures:list, hash:str, bheight:int): index = 'blocks-' + self.lastDate estype = 'blocks-' + self.lastDate eljson = json.dumps({"@dtime": int(timestamp), "validator": validator, "tcount": tcount, "signatures": list(signatures), "hash": hash, "bheight": bheight}, separators=(',', ':')) try: self.es.index(index=str(index).lower(), doc_type=estype.lower(), body=eljson) except elasticsearch.ElasticsearchException as es1: print("Elastic exception on send Block:", es1) def elasticTransaction(self, jsons:list): try: helpers.bulk(self.es, jsons) except elasticsearch.ElasticsearchException as es1: print("Elastic exception on save bulk Transactions:", es1) def elasticBalanceHistory(self, balance:dict): users = balance.keys() jsonMas = [] print("USER LEN:", len(users)) for user in users: eljson = {"_index": "balance", "_type": "balance", "_id": user, "_source": {"@dtime": int(time.time()), "user": user, "balance": balance.get(user)}} jsonMas.append(eljson) try: helpers.bulk(self.es, jsonMas) except elasticsearch.ElasticsearchException as es1: print("Elastic exception on save balance:", es1) def getLastEBlock(self): query = {"aggs" : { "max_blnum":{"max":{"field":"bheight"}} },"size": 0 } try: answer = self.es.search(index="blocks-" + self.lastDate, doc_type="blocks-" + self.lastDate, body=query) if not answer["aggregations"]["max_blnum"]["value"] == None: return int(answer["aggregations"]["max_blnum"]["value"]) else: return 0 except elasticsearch.ElasticsearchException as es1: print("Elastic exception on search last block index:", es1)

41.455253

186

0.382016

728

10,654

5.443681

0.190934

0.033308

0.052485

0.097653

0.598789

0.524098

0.500883

0.480696

0.432753

0.357557

0

0.007849

0.521682

10,654

256

187

41.617188

0.769819

0.006289

0

0.436681

0

0.142695

0.003969

0

1

0.026201

false

0

0.017467

0

0.056769

0.048035

0

null

0

1

0

null

0

1

163248c24fc9b2b48d8f714d22251c83d3496af1

2,694

py

Python

dialogue-engine/test/programytest/config/brain/test_oob.py

cotobadesign/cotoba-agent-oss

3833d56e79dcd7529c3e8b3a3a8a782d513d9b12

[ "MIT" ]

104

2020-03-30T09:40:00.000Z

2022-03-06T22:34:25.000Z

dialogue-engine/test/programytest/config/brain/test_oob.py

cotobadesign/cotoba-agent-oss

3833d56e79dcd7529c3e8b3a3a8a782d513d9b12

[ "MIT" ]

25

2020-06-12T01:36:35.000Z

2022-02-19T07:30:44.000Z

dialogue-engine/test/programytest/config/brain/test_oob.py

cotobadesign/cotoba-agent-oss

3833d56e79dcd7529c3e8b3a3a8a782d513d9b12

[ "MIT" ]

10

2020-04-02T23:43:56.000Z

2021-05-14T13:47:01.000Z

""" Copyright (c) 2020 COTOBA DESIGN, Inc. 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 unittest from programy.config.file.yaml_file import YamlConfigurationFile from programy.config.brain.oob import BrainOOBConfiguration from programy.clients.events.console.config import ConsoleConfiguration class BrainOOBConfigurationTests(unittest.TestCase): def test_oob_with_data(self): yaml = YamlConfigurationFile() self.assertIsNotNone(yaml) yaml.load_from_text(""" brain: oobs: default: classname: programy.oob.defaults.default.DefaultOutOfBandProcessor """, ConsoleConfiguration(), ".") brain_config = yaml.get_section("brain") self.assertIsNotNone(brain_config) oobs_config = yaml.get_section("oobs", brain_config) self.assertIsNotNone(oobs_config) oob_config = BrainOOBConfiguration("default") oob_config.load_config_section(yaml, oobs_config, ".") self.assertEqual("programy.oob.defaults.default.DefaultOutOfBandProcessor", oob_config.classname) def test_default_without_data(self): yaml = YamlConfigurationFile() self.assertIsNotNone(yaml) yaml.load_from_text(""" brain: oobs: default: """, ConsoleConfiguration(), ".") brain_config = yaml.get_section("brain") self.assertIsNotNone(brain_config) oobs_config = yaml.get_section("oobs", brain_config) self.assertIsNotNone(oobs_config) oob_config = BrainOOBConfiguration("default") oob_config.load_config_section(yaml, oobs_config, ".") self.assertIsNone(oob_config.classname)

42.761905

126

0.72977

325

2,694

5.935385

0.396923

0.045619

0.026957

0.041472

0.381545

0.328668

0

0.001849

0.197105

2,694

62

127

43.451613

0.889968

0.394209

0

0.722222

0

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0.067734

0

0.222222

1

0.055556

false

0

0.111111

0

0.194444

0

null

0

1

0

null

0

1

163cbfb7a11f70465bec9d58e23cdc35d6fe4e2c

5,976

py

Python

v1/hsvfilter.py

gavinIRL/RHBot

1e22ae5ca7b67ebd6a72c23d9f46d5a8eb6e99cf

[ "MIT" ]

null

v1/hsvfilter.py

gavinIRL/RHBot

1e22ae5ca7b67ebd6a72c23d9f46d5a8eb6e99cf

[ "MIT" ]

60

2021-03-29T14:29:49.000Z

2021-05-03T06:06:19.000Z

v1/hsvfilter.py

gavinIRL/RHBot

1e22ae5ca7b67ebd6a72c23d9f46d5a8eb6e99cf

[ "MIT" ]

null

import typing # custom data structure to hold the state of an HSV filter class HsvFilter: def __init__(self, hMin=None, sMin=None, vMin=None, hMax=None, sMax=None, vMax=None, sAdd=None, sSub=None, vAdd=None, vSub=None): self.hMin = hMin self.sMin = sMin self.vMin = vMin self.hMax = hMax self.sMax = sMax self.vMax = vMax self.sAdd = sAdd self.sSub = sSub self.vAdd = vAdd self.vSub = vSub # Putting this here out of the way as it's a chonk # For a given item string case it will return the optimal filter and the correct position to look def grab_object_preset(object_name=None, **kwargs) -> typing.Tuple[HsvFilter, list]: if object_name is None: #print("Using default filter") return HsvFilter(0, 0, 0, 255, 255, 255, 0, 0, 0, 0), [3, 32, 1280, 794] if object_name == "dungeon_check": return HsvFilter(0, 73, 94, 106, 255, 255, 0, 0, 0, 0), [1083, 295, 1188, 368] if object_name == "enemy_map_loc": #print("Using enemy location filter") if kwargs.get("big_map"): return HsvFilter(0, 128, 82, 8, 255, 255, 0, 66, 30, 34), [485, 280, 900, 734] return HsvFilter(0, 128, 82, 8, 255, 255, 0, 66, 30, 34), [1100, 50, 1260, 210] if object_name == "player_map_loc": if kwargs.get("big_map"): return HsvFilter(31, 94, 86, 73, 255, 255, 0, 0, 0, 0), [485, 280, 900, 734] return HsvFilter(31, 94, 86, 73, 255, 255, 0, 0, 0, 0), [1100, 50, 1260, 210] if object_name == "other_player_map_loc": if kwargs.get("big_map"): return HsvFilter(16, 172, 194, 32, 255, 255, 0, 0, 70, 37), [485, 280, 900, 734] return HsvFilter(16, 172, 194, 32, 255, 255, 0, 0, 70, 37), [1100, 50, 1260, 210] if object_name == "loot_distant": return HsvFilter(14, 116, 33, 32, 210, 59, 16, 0, 3, 0), [10, 145, 1084, 684] if object_name == "loot_near": return HsvFilter(0, 155, 135, 31, 240, 217, 0, 0, 0, 0), [460, 420, 855, 710] if object_name == "prompt_press_x_pickup": return HsvFilter(78, 110, 110, 97, 189, 255, 0, 0, 0, 0), [1080, 660, 1255, 725] if object_name == "message_section_cleared": return HsvFilter(0, 0, 214, 179, 65, 255, 0, 0, 0, 17), [464, 600, 855, 680] if object_name == "message_go": return HsvFilter(32, 114, 89, 58, 255, 255, 0, 12, 0, 0), [600, 222, 700, 275] if object_name == "enemy_nametag": return HsvFilter(49, 0, 139, 91, 30, 197, 0, 0, 40, 38), [10, 145, 1084, 684] if object_name == "message_boss_encounter": return HsvFilter(0, 92, 128, 13, 255, 255, 0, 0, 0, 0), [630, 520, 1120, 680] if object_name == "display_boss_name_and_healthbar": return HsvFilter(0, 92, 123, 29, 255, 255, 0, 0, 0, 20), [415, 533, 888, 700] if object_name == "loot_chest_normal": # This is a difficult one to separate return HsvFilter(0, 34, 38, 28, 152, 124, 0, 0, 5, 12), [10, 145, 1084, 684] if object_name == "map_outline": if kwargs.get("big_map"): return HsvFilter(0, 128, 82, 8, 255, 255, 0, 66, 30, 34), [485, 280, 900, 734] return HsvFilter(0, 128, 82, 8, 255, 255, 0, 66, 30, 34), [1100, 50, 1260, 210] if object_name == "gate_map_pos": # This is a very difficult one to separate if kwargs.get("big_map"): return HsvFilter(0, 128, 82, 8, 255, 255, 0, 66, 30, 34), [485, 280, 900, 734] return HsvFilter(0, 128, 82, 8, 255, 255, 0, 66, 30, 34), [1100, 50, 1260, 210] if object_name == "prompt_move_reward_screen": return HsvFilter(72, 98, 92, 105, 255, 225, 0, 54, 24, 38) if object_name == "prompt_select_card": return HsvFilter(79, 149, 140, 255, 255, 255, 0, 0, 0, 0) if object_name == "event_chest_special_appear": return HsvFilter(0, 124, 62, 88, 217, 246, 0, 0, 0, 0) if object_name == "inventory_green_item": return HsvFilter(37, 147, 0, 61, 255, 255, 0, 0, 0, 0) if object_name == "inventory_blue_item": return HsvFilter(79, 169, 0, 109, 246, 188, 0, 0, 0, 0) if object_name == "inventory_yellow_item": # This is a dangerous one as it can barely # distinguish against green items and vice versa return HsvFilter(19, 91, 107, 31, 168, 181, 0, 11, 32, 21) if object_name == "inventory_purple_item": return HsvFilter(126, 153, 0, 255, 255, 255, 0, 0, 0, 0) if object_name == "button_repair": return None, [208, 600] # These are all To be done later if object_name == "event_card_trade": return HsvFilter(0, 0, 0, 255, 255, 255, 0, 0, 0, 0) if object_name == "event_otherworld": return HsvFilter(0, 0, 0, 255, 255, 255, 0, 0, 0, 0) if object_name == "loot_chest_special": if kwargs.get("big_map"): return HsvFilter(0, 0, 0, 255, 255, 255, 0, 0, 0, 0), [10, 145, 1084, 684] return HsvFilter(0, 0, 0, 255, 255, 255, 0, 0, 0, 0), [10, 145, 1084, 684] if object_name == "cards": return HsvFilter(0, 0, 0, 255, 255, 255, 0, 0, 0, 0), [735, 32, 1085, 100] if object_name == "enemy_arrow": return HsvFilter(0, 0, 0, 255, 255, 255, 0, 0, 0, 0), [10, 145, 1084, 684] # Buttons for clicking, known positions if object_name == "button_explore_again": return None, [] if object_name == "button_choose_map": return None, [] if object_name == "button_open_store": return None, [] if object_name == "button_go_town": return None, [] if object_name == "button_inv_equipment": return None, [] if object_name == "button_inv_consume": return None, [] if object_name == "button_inv_other": return None, [] if object_name == "button_repair_confirm": return None, [] if object_name == "inv_grid_location": return None, [533+44*kwargs.get("col"), 277+44*kwargs.get("row")]

49.38843

97

0.593373

954

5,976

3.591195

0.285115

0.045534

0.039405

0.021016

0.430823

0.405721

0.360187

0.304437

0.271454

0.265032

0

0.218297

0.261044

5,976

120

98

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0.557518

0.083668

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0.242718

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0.038616

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0.466019

0

null

0

1

0

null

0

1

163d903313e3ca0e241b2c27dfd7fddcb15bbfdb

287

py

Python

ecommerce_api/core/cart/exceptions.py

victormartinez/ecommerceapi

a887d9e938050c15ebf52001f63d7aa7f33fa5ee

[ "MIT" ]

null

ecommerce_api/core/cart/exceptions.py

victormartinez/ecommerceapi

a887d9e938050c15ebf52001f63d7aa7f33fa5ee

[ "MIT" ]

null

ecommerce_api/core/cart/exceptions.py

victormartinez/ecommerceapi

a887d9e938050c15ebf52001f63d7aa7f33fa5ee

[ "MIT" ]

null

from typing import Iterable, Optional class ProductsNotFound(Exception): def __init__(self, product_ids: Optional[Iterable[int]] = None): self.product_ids = product_ids or [] self.message = "One or more products are invalid." super().__init__(self.message)

31.888889

68

0.700348

35

287

5.428571

0.657143

0.157895

0.147368

0

0.198606

287

8

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0

0.5

0

null

0

1

0

null

0

1

163dc7048c89ab3ce7a0707b33435bed5fbe6660

6,742

py

Python

test/unit/test_record.py

jsoref/neo4j-python-driver

32c130c9a975dbf8c0d345b362d096b5e1dd3e5b

[ "Apache-2.0" ]

null

test/unit/test_record.py

jsoref/neo4j-python-driver

32c130c9a975dbf8c0d345b362d096b5e1dd3e5b

[ "Apache-2.0" ]

null

test/unit/test_record.py

jsoref/neo4j-python-driver

32c130c9a975dbf8c0d345b362d096b5e1dd3e5b

[ "Apache-2.0" ]

null

#!/usr/bin/env python # -*- encoding: utf-8 -*- # Copyright (c) 2002-2018 "Neo Technology," # Network Engine for Objects in Lund AB [http://neotechnology.com] # # This file is part of Neo4j. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from unittest import TestCase from neo4j.v1 import Record class RecordTestCase(TestCase): def test_record_equality(self): record1 = Record(["name", "empire"], ["Nigel", "The British Empire"]) record2 = Record(["name", "empire"], ["Nigel", "The British Empire"]) record3 = Record(["name", "empire"], ["Stefan", "Das Deutschland"]) assert record1 == record2 assert record1 != record3 assert record2 != record3 def test_record_hashing(self): record1 = Record(["name", "empire"], ["Nigel", "The British Empire"]) record2 = Record(["name", "empire"], ["Nigel", "The British Empire"]) record3 = Record(["name", "empire"], ["Stefan", "Das Deutschland"]) assert hash(record1) == hash(record2) assert hash(record1) != hash(record3) assert hash(record2) != hash(record3) def test_record_iter(self): a_record = Record(["name", "empire"], ["Nigel", "The British Empire"]) assert list(a_record.__iter__()) == ["name", "empire"] def test_record_copy(self): original = Record(["name", "empire"], ["Nigel", "The British Empire"]) duplicate = original.copy() assert dict(original) == dict(duplicate) assert original.keys() == duplicate.keys() assert original is not duplicate def test_record_as_dict(self): a_record = Record(["name", "empire"], ["Nigel", "The British Empire"]) assert dict(a_record) == {"name": "Nigel", "empire": "The British Empire"} def test_record_as_list(self): a_record = Record(["name", "empire"], ["Nigel", "The British Empire"]) assert list(a_record) == ["name", "empire"] def test_record_len(self): a_record = Record(["name", "empire"], ["Nigel", "The British Empire"]) assert len(a_record) == 2 def test_record_repr(self): a_record = Record(["name", "empire"], ["Nigel", "The British Empire"]) assert repr(a_record) == "<Record name='Nigel' empire='The British Empire'>" def test_record_data(self): r = Record(["name", "age", "married"], ["Alice", 33, True]) self.assertEqual(r.data(), {"name": "Alice", "age": 33, "married": True}) self.assertEqual(r.data("name"), {"name": "Alice"}) self.assertEqual(r.data("age", "name"), {"age": 33, "name": "Alice"}) self.assertEqual(r.data("age", "name", "shoe size"), {"age": 33, "name": "Alice", "shoe size": None}) self.assertEqual(r.data(0, "name"), {"name": "Alice"}) self.assertEqual(r.data(0), {"name": "Alice"}) self.assertEqual(r.data(1, 0), {"age": 33, "name": "Alice"}) with self.assertRaises(IndexError): _ = r.data(1, 0, 999) def test_record_keys(self): r = Record(["name", "age", "married"], ["Alice", 33, True]) self.assertEqual(r.keys(), ("name", "age", "married")) def test_record_values(self): r = Record(["name", "age", "married"], ["Alice", 33, True]) self.assertEqual(r.values(), ("Alice", 33, True)) self.assertEqual(r.values("name"), ("Alice",)) self.assertEqual(r.values("age", "name"), (33, "Alice")) self.assertEqual(r.values("age", "name", "shoe size"), (33, "Alice", None)) self.assertEqual(r.values(0, "name"), ("Alice", "Alice")) self.assertEqual(r.values(0), ("Alice",)) self.assertEqual(r.values(1, 0), (33, "Alice")) with self.assertRaises(IndexError): _ = r.values(1, 0, 999) def test_record_items(self): r = Record(["name", "age", "married"], ["Alice", 33, True]) self.assertEqual(r.items(), [("name", "Alice"), ("age", 33), ("married", True)]) self.assertEqual(r.items("name"), [("name", "Alice")]) self.assertEqual(r.items("age", "name"), [("age", 33), ("name", "Alice")]) self.assertEqual(r.items("age", "name", "shoe size"), [("age", 33), ("name", "Alice"), ("shoe size", None)]) self.assertEqual(r.items(0, "name"), [("name", "Alice"), ("name", "Alice")]) self.assertEqual(r.items(0), [("name", "Alice")]) self.assertEqual(r.items(1, 0), [("age", 33), ("name", "Alice")]) with self.assertRaises(IndexError): _ = r.items(1, 0, 999) def test_record_index(self): r = Record(["name", "age", "married"], ["Alice", 33, True]) self.assertEqual(r.index("name"), 0) self.assertEqual(r.index("age"), 1) self.assertEqual(r.index("married"), 2) with self.assertRaises(KeyError): _ = r.index("shoe size") self.assertEqual(r.index(0), 0) self.assertEqual(r.index(1), 1) self.assertEqual(r.index(2), 2) with self.assertRaises(IndexError): _ = r.index(3) with self.assertRaises(TypeError): _ = r.index(None) def test_record_value(self): r = Record(["name", "age", "married"], ["Alice", 33, True]) self.assertEqual(r.value(), "Alice") self.assertEqual(r.value("name"), "Alice") self.assertEqual(r.value("age"), 33) self.assertEqual(r.value("married"), True) self.assertEqual(r.value("shoe size"), None) self.assertEqual(r.value("shoe size", 6), 6) self.assertEqual(r.value(0), "Alice") self.assertEqual(r.value(1), 33) self.assertEqual(r.value(2), True) self.assertEqual(r.value(3), None) self.assertEqual(r.value(3, 6), 6) with self.assertRaises(TypeError): _ = r.value(None) def test_record_contains(self): r = Record(["name", "age", "married"], ["Alice", 33, True]) self.assertTrue("name" in r) self.assertTrue("age" in r) self.assertTrue("married" in r) self.assertFalse("shoe size" in r) self.assertTrue(0 in r) self.assertTrue(1 in r) self.assertTrue(2 in r) self.assertFalse(3 in r) with self.assertRaises(TypeError): _ = r.index(None)

43.496774

116

0.590923

846

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0

null

0

null

0

1

0

1

164ff194ddd6475fcc83a8af8f5b4d32701c55ea

886

py

Python

pymterm/colour/tango.py

stonewell/pymterm

af36656d5f7fb008533178d14b00d83d72ba00cf

[ "MIT" ]

102

2016-07-21T06:39:02.000Z

2022-03-09T19:34:03.000Z

pymterm/colour/tango.py

stonewell/pymterm

af36656d5f7fb008533178d14b00d83d72ba00cf

[ "MIT" ]

2

2017-01-11T13:43:34.000Z

2020-01-19T12:06:47.000Z

pymterm/colour/tango.py

stonewell/pymterm

af36656d5f7fb008533178d14b00d83d72ba00cf

[ "MIT" ]

4

2020-03-22T04:08:35.000Z

2021-06-27T23:38:02.000Z

TANGO_PALLETE = [ '2e2e34343636', 'cccc00000000', '4e4e9a9a0606', 'c4c4a0a00000', '34346565a4a4', '757550507b7b', '060698989a9a', 'd3d3d7d7cfcf', '555557575353', 'efef29292929', '8a8ae2e23434', 'fcfce9e94f4f', '72729f9fcfcf', 'adad7f7fa8a8', '3434e2e2e2e2', 'eeeeeeeeecec', ] def parse_tango_color(c): r = int(c[:4][:2], 16) g = int(c[4:8][:2], 16) b = int(c[8:][:2], 16) return [r, g, b, 0xFF] def apply_color(cfg, color_table): cfg.default_foreground_color = parse_tango_color('eeeeeeeeecec') cfg.default_background_color = parse_tango_color('323232323232') cfg.default_cursor_color = cfg.default_foreground_color for i in range(len(TANGO_PALLETE)): if i < len(color_table): color_table[i] = parse_tango_color(TANGO_PALLETE[i])

24.611111

69

0.613995

98

886

5.316327

0.469388

0.076775

0.115163

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0

0.215569

0.24605

886

35

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0.066667

false

0

0.1

0

null

0

1

0

null

0

1

1653cd2fffd32e2ad6ea59e14f67f33d48afc170

560

py

Python

examples/django_mongoengine/bike/models.py

pfrantz/graphene-mongo

f7d4f3e194ec41793e6da547934c34e11fd9ef51

[ "MIT" ]

260

2018-02-03T01:00:42.000Z

2022-02-18T12:42:01.000Z

examples/django_mongoengine/bike/models.py

pfrantz/graphene-mongo

f7d4f3e194ec41793e6da547934c34e11fd9ef51

[ "MIT" ]

159

2018-02-09T07:35:03.000Z

2022-03-20T03:43:23.000Z

examples/django_mongoengine/bike/models.py

pfrantz/graphene-mongo

f7d4f3e194ec41793e6da547934c34e11fd9ef51

[ "MIT" ]

124

2018-02-04T20:19:01.000Z

2022-03-25T21:40:41.000Z

from mongoengine import Document from mongoengine.fields import ( FloatField, StringField, ListField, URLField, ObjectIdField, ) class Shop(Document): meta = {"collection": "shop"} ID = ObjectIdField() name = StringField() address = StringField() website = URLField() class Bike(Document): meta = {"collection": "bike"} ID = ObjectIdField() name = StringField() brand = StringField() year = StringField() size = ListField(StringField()) wheel_size = FloatField() type = StringField()

20

35

0.642857

49

560

7.326531

0.489796

0.083565

0.122563

0.167131

0

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560

27

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20.740741

0.844706

0

0.173913

0

0.05

0

1

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false

0

0.086957

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0.73913

0

null

0

1

0

null

0

1

1654fce2866f6b2ef021c29092efa26419e5ba83

4,918

py

Python

uhd_restpy/testplatform/sessions/ixnetwork/impairment/profile/fixedclassifier/fixedclassifier.py

OpenIxia/ixnetwork_restpy

f628db450573a104f327cf3c737ca25586e067ae

[ "MIT" ]

20

2019-05-07T01:59:14.000Z

2022-02-11T05:24:47.000Z

uhd_restpy/testplatform/sessions/ixnetwork/impairment/profile/fixedclassifier/fixedclassifier.py

OpenIxia/ixnetwork_restpy

f628db450573a104f327cf3c737ca25586e067ae

[ "MIT" ]

60

2019-04-03T18:59:35.000Z

2022-02-22T12:05:05.000Z

uhd_restpy/testplatform/sessions/ixnetwork/impairment/profile/fixedclassifier/fixedclassifier.py

OpenIxia/ixnetwork_restpy

f628db450573a104f327cf3c737ca25586e067ae

[ "MIT" ]

13

2019-05-20T10:48:31.000Z

2021-10-06T07:45:44.000Z

# MIT LICENSE # # Copyright 1997 - 2020 by IXIA Keysight # # 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. from uhd_restpy.base import Base from uhd_restpy.files import Files from typing import List, Any, Union class FixedClassifier(Base): """Specifies the packets to apply this profile to. If there are multiple patterns enabled, they are ANDed: each packet must match all packets in order to be impaired by this profile. The FixedClassifier class encapsulates a list of fixedClassifier resources that are managed by the user. A list of resources can be retrieved from the server using the FixedClassifier.find() method. The list can be managed by using the FixedClassifier.add() and FixedClassifier.remove() methods. """ __slots__ = () _SDM_NAME = 'fixedClassifier' _SDM_ATT_MAP = { } _SDM_ENUM_MAP = { } def __init__(self, parent, list_op=False): super(FixedClassifier, self).__init__(parent, list_op) @property def Pattern(self): """ Returns ------- - obj(uhd_restpy.testplatform.sessions.ixnetwork.impairment.profile.fixedclassifier.pattern.pattern.Pattern): An instance of the Pattern class Raises ------ - ServerError: The server has encountered an uncategorized error condition """ from uhd_restpy.testplatform.sessions.ixnetwork.impairment.profile.fixedclassifier.pattern.pattern import Pattern if self._properties.get('Pattern', None) is not None: return self._properties.get('Pattern') else: return Pattern(self) def add(self): """Adds a new fixedClassifier resource on the server and adds it to the container. Returns ------- - self: This instance with all currently retrieved fixedClassifier resources using find and the newly added fixedClassifier resources available through an iterator or index Raises ------ - ServerError: The server has encountered an uncategorized error condition """ return self._create(self._map_locals(self._SDM_ATT_MAP, locals())) def remove(self): """Deletes all the contained fixedClassifier resources in this instance from the server. Raises ------ - NotFoundError: The requested resource does not exist on the server - ServerError: The server has encountered an uncategorized error condition """ self._delete() def find(self): """Finds and retrieves fixedClassifier resources from the server. All named parameters are evaluated on the server using regex. The named parameters can be used to selectively retrieve fixedClassifier resources from the server. To retrieve an exact match ensure the parameter value starts with ^ and ends with $ By default the find method takes no parameters and will retrieve all fixedClassifier resources from the server. Returns ------- - self: This instance with matching fixedClassifier resources retrieved from the server available through an iterator or index Raises ------ - ServerError: The server has encountered an uncategorized error condition """ return self._select(self._map_locals(self._SDM_ATT_MAP, locals())) def read(self, href): """Retrieves a single instance of fixedClassifier data from the server. Args ---- - href (str): An href to the instance to be retrieved Returns ------- - self: This instance with the fixedClassifier resources from the server available through an iterator or index Raises ------ - NotFoundError: The requested resource does not exist on the server - ServerError: The server has encountered an uncategorized error condition """ return self._read(href)

41.677966

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false

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0.148148

0

0.740741

0

null

0

null

0

1

0

1

165e63725354de429a448d866f665cccca991916

656

py

Python

mmdet/ops/dcn/__init__.py

TJUsym/TJU_Advanced_CV_Homework

2d85943390e9ba53b80988e0ab8d50aef0cd17da

[ "Apache-2.0" ]

1,158

2019-04-26T01:08:32.000Z

2022-03-30T06:46:24.000Z

mmdet/ops/dcn/__init__.py

TJUsym/TJU_Advanced_CV_Homework

2d85943390e9ba53b80988e0ab8d50aef0cd17da

[ "Apache-2.0" ]

148

2021-03-18T09:44:02.000Z

2022-03-31T06:01:39.000Z

mmdet/ops/dcn/__init__.py

TJUsym/TJU_Advanced_CV_Homework

2d85943390e9ba53b80988e0ab8d50aef0cd17da

[ "Apache-2.0" ]

197

2020-01-29T09:58:27.000Z

2022-03-25T12:08:56.000Z

from .functions.deform_conv import deform_conv, modulated_deform_conv from .functions.deform_pool import deform_roi_pooling from .modules.deform_conv import (DeformConv, ModulatedDeformConv, DeformConvPack, ModulatedDeformConvPack) from .modules.deform_pool import (DeformRoIPooling, DeformRoIPoolingPack, ModulatedDeformRoIPoolingPack) __all__ = [ 'DeformConv', 'DeformConvPack', 'ModulatedDeformConv', 'ModulatedDeformConvPack', 'DeformRoIPooling', 'DeformRoIPoolingPack', 'ModulatedDeformRoIPoolingPack', 'deform_conv', 'modulated_deform_conv', 'deform_roi_pooling' ]

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null

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null

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1

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1

1662a331dbe1e237d08e9e21a3e8d596bcbce6c4

2,477

py

Python

pyxrd/mixture/models/insitu_behaviours/insitu_behaviour.py

PyXRD/pyxrd

26bacdf64f3153fa74b8caa62e219b76d91a55c1

[ "BSD-2-Clause" ]

27

2018-06-15T15:28:18.000Z

2022-03-10T12:23:50.000Z

pyxrd/mixture/models/insitu_behaviours/insitu_behaviour.py

PyXRD/pyxrd

26bacdf64f3153fa74b8caa62e219b76d91a55c1

[ "BSD-2-Clause" ]

22

2018-06-14T08:29:16.000Z

2021-07-05T13:33:44.000Z

pyxrd/mixture/models/insitu_behaviours/insitu_behaviour.py

PyXRD/pyxrd

26bacdf64f3153fa74b8caa62e219b76d91a55c1

[ "BSD-2-Clause" ]

8

2019-04-13T13:03:51.000Z

2021-06-19T09:29:11.000Z

# coding=UTF-8 # ex:ts=4:sw=4:et=on # # Copyright (c) 2013, Mathijs Dumon # All rights reserved. # Complete license can be found in the LICENSE file. from mvc.models.properties import StringProperty from pyxrd.generic.io.custom_io import storables, Storable from pyxrd.generic.models.base import DataModel from pyxrd.refinement.refinables.mixins import RefinementGroup @storables.register() class InSituBehaviour(DataModel, RefinementGroup, Storable): """ Interface class for coding in-situ behaviour scripts. Sub-classes should override or implement the methods below. """ # MODEL INTEL: class Meta(DataModel.Meta): store_id = "InSituBehaviour" # Override this so it is a unique string concrete = False # Indicates this cannot be instantiated and added in the UI mixture = property(DataModel.parent.fget, DataModel.parent.fset) # REFINEMENT GROUP IMPLEMENTATION: @property def refine_title(self): return "In-situ behaviour" @property def refine_descriptor_data(self): return dict( phase_name=self.phase.refine_title, component_name="*" ) #: The name of this Behaviour name = StringProperty( default="New Behaviour", text="Name", visible=True, persistent=True, tabular=True ) # ------------------------------------------------------------ # Initialization and other internals # ------------------------------------------------------------ def __init__(self, *args, **kwargs): my_kwargs = self.pop_kwargs(kwargs, *[prop.label for prop in InSituBehaviour.Meta.get_local_persistent_properties()] ) super(InSituBehaviour, self).__init__(*args, **kwargs) kwargs = my_kwargs with self.data_changed.hold(): self.name = self.get_kwarg(kwargs, self.name, "name") pass #end of constructor # ------------------------------------------------------------ # Methods & Functions # ------------------------------------------------------------ def apply(self, phase): assert phase is not None, "Cannot apply on None" assert self.is_compatible_with(phase), "`%r` is not compatible with phase `%r`" % (self, phase) def is_compatible_with(self, phase): return False # sub classes need to override this pass #end of class

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2,477

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false

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null

0

null

0

1

0

1

1665579643c424a545b6a8b3af94a1a9e0f4f184

357

py

Python

examples/remove_comments.py

igordejanovic/textx-bibtex

b1374a39b96da9c1bc979c367b9ed3feb04f4f01

[ "MIT" ]

1

2020-06-17T21:51:33.000Z

examples/remove_comments.py

igordejanovic/textx-bibtex

b1374a39b96da9c1bc979c367b9ed3feb04f4f01

[ "MIT" ]

null

examples/remove_comments.py

igordejanovic/textx-bibtex

b1374a39b96da9c1bc979c367b9ed3feb04f4f01

[ "MIT" ]

null

""" Remove comments from bib file. """ from textx import metamodel_for_language from txbibtex import bibentry_str BIB_FILE = 'references.bib' bibfile = metamodel_for_language('bibtex').model_from_file(BIB_FILE) # Drop line comments. print('\n'.join([bibentry_str(e) for e in bibfile.entries if e.__class__.__name__ != 'BibLineComment']))

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357

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null

0

null

0

1

0

1

16693286bda8fc5cb36e02f9aa7765ff20fcfe4e

7,066

py

Python

tests/unit/utils/test_validators.py

kajusK/HiddenPlaces

aa976f611a419bc33f8a65f0314956ec09fe2bfd

[ "MIT" ]

null

tests/unit/utils/test_validators.py

kajusK/HiddenPlaces

aa976f611a419bc33f8a65f0314956ec09fe2bfd

[ "MIT" ]

null

tests/unit/utils/test_validators.py

kajusK/HiddenPlaces

aa976f611a419bc33f8a65f0314956ec09fe2bfd

[ "MIT" ]

null

"""Unit tests for app.validators. """ from wtforms import ValidationError import flask from pytest import raises from app.utils.validators import password_rules, image_file, allowed_file class DummyField(object): """Dummy field object to emulate wtforms field.""" def __init__(self, data=None, errors=(), raw_data=None): self.data = data self.errors = list(errors) self.raw_data = raw_data def gettext(self, string): return string def ngettext(self, singular, plural, n): return singular class DummyForm(dict): """Dummy form object to emulate wtforms form.""" pass class DummyFile(object): """Dummy file like class to emulate uploaded file handler.""" def __init__(self, filename): self.filename = filename def __repr__(self): return self.filename def _run_validator_check(subtests, validator, valid, invalid): """Runs tests again validator with valid and invalid inputs. Args: subtest: Subtests fixture. validator: Validator instance to run tests against valid: List of valid inputs invalid: List of invalid inputs """ field = DummyField() for item in valid: field.data = item with subtests.test(item=item): validator(DummyForm(), field) for item in invalid: field.data = item with subtests.test(item=item): with raises(ValidationError): validator(DummyForm(), field) def test_allowed_file(subtests, req_context): validator = allowed_file() extensions = ['exe', 'html'] valid = ['foo.jpg', 'exe', 'foo.exe.zip', 'foo'] invalid = ['foo.exe', 'foo.EXE', 'foo.pdf.exe', 'foo.html'] valid = [DummyFile(x) for x in valid] invalid = [DummyFile(x) for x in invalid] flask.current_app.config['DISABLED_EXTENSIONS'] = extensions with flask.current_app.test_request_context(): _run_validator_check(subtests, validator, valid, invalid) def test_allowed_file_multiple(subtests, req_context): validator = allowed_file() extensions = ['exe', 'html'] valid = ['foo.jpg', 'exe', 'foo.exe.zip', 'foo'] invalid = ['foo.exe', 'foo.EXE', 'foo.pdf.exe', 'foo.html'] valid = [[DummyFile(x) for x in valid], [DummyFile(valid[0])], [DummyFile(valid[0]), DummyFile(valid[1])]] invalid = [[DummyFile(x) for x in invalid], [DummyFile(invalid[0])], [DummyFile(invalid[0]), DummyFile(invalid[1])]] flask.current_app.config['DISABLED_EXTENSIONS'] = extensions with flask.current_app.test_request_context(): _run_validator_check(subtests, validator, valid, invalid) def test_allowed_file_message(req_context): validator = allowed_file(message="custom message") field = DummyField() field.data = DummyFile("blah.foo") flask.current_app.config['DISABLED_EXTENSIONS'] = ['foo'] with flask.current_app.test_request_context(): with raises(ValidationError) as e: validator(DummyForm(), field) assert str(e.value) == "custom message" def test_image_file(subtests, req_context): validator = image_file() extensions = ['jpg', 'png', 'tiff'] valid = ['foo.jpg', 'foo.JPG', 'bar.png', 'blah.tiff', 'a.foo.jpg'] invalid = ['foo', 'jpg', 'foo.pdf', 'foo.jpg.pdf', '', '.jpg', 'o.gif'] valid = [DummyFile(x) for x in valid] invalid = [DummyFile(x) for x in invalid] flask.current_app.config['IMAGE_EXTENSIONS'] = extensions with flask.current_app.test_request_context(): _run_validator_check(subtests, validator, valid, invalid) def test_image_file_multiple(subtests, req_context): validator = image_file() extensions = ['jpg', 'png', 'tiff'] valid = ['foo.jpg', 'foo.JPG', 'bar.png', 'blah.tiff', 'a.foo.jpg'] invalid = ['foo', 'jpg', 'foo.pdf', 'foo.jpg.pdf', '', '.jpg', 'o.gif'] valid = [[DummyFile(x) for x in valid], [DummyFile(valid[0])], [DummyFile(valid[0]), DummyFile(valid[1])]] invalid = [[DummyFile(x) for x in invalid], [DummyFile(invalid[0])], [DummyFile(invalid[0]), DummyFile(invalid[1])]] flask.current_app.config['IMAGE_EXTENSIONS'] = extensions with flask.current_app.test_request_context(): _run_validator_check(subtests, validator, valid, invalid) def test_image_file_message(req_context): validator = image_file(message="custom message") field = DummyField() field.data = DummyFile("blah") flask.current_app.config['IMAGE_EXTENSIONS'] = ['foo'] with flask.current_app.test_request_context(): with raises(ValidationError) as e: validator(DummyForm(), field) assert str(e.value) == "custom message" def test_password_rules_length(subtests): validator = password_rules(length=6, upper=None, lower=None, numeric=None, special=None) valid = ["as123.21", "abcdef", "sdadadaswasasa", "1234567", "...,.,..,", "AAAAAAA", "AbCdEf"] invalid = ["abc", "123", "....", "aBcDe", "a1.V3"] _run_validator_check(subtests, validator, valid, invalid) def test_password_rules_upper(subtests): validator = password_rules(length=6, upper=2, lower=None, numeric=None, special=None) valid = ["abcDEf", "HellOO", "ABCDEZ", "A.b#3CZ", "ADSDSA"] invalid = ["abcdEf", "helloo", "A231sdsd"] _run_validator_check(subtests, validator, valid, invalid) def test_password_rules_lower(subtests): validator = password_rules(length=6, upper=None, lower=3, numeric=None, special=None) valid = ["abcdefg", "axzBAR", "123abcdsa", "AbCdEfGh", "..as..2ds.."] invalid = ["foOBAR", "123ABcdSA", "1a2b.C#"] _run_validator_check(subtests, validator, valid, invalid) def test_password_rules_numeric(subtests): validator = password_rules(length=6, upper=None, lower=None, numeric=2, special=None) valid = ["1bcd4A.d", "123456", "a?9#.0"] invalid = ["2ds.#<", "abcdef", "ABCDEF", "x2U.'Q"] _run_validator_check(subtests, validator, valid, invalid) def test_password_rules_special(subtests): validator = password_rules(length=6, upper=None, lower=None, numeric=None, special=3) valid = ["ab.?123!", ".#@dS9", "abcdef123><?"] invalid = ["abcdef", ".23134", "AbCd123,]"] _run_validator_check(subtests, validator, valid, invalid) def test_password_rules_all(subtests): validator = password_rules(length=6, upper=2, lower=1, numeric=1, special=1) valid = ["ABc1.2", "abcDEF123#%^", "a2B.C?"] invalid = ["helloo", "ABCDEF", "Ab1.?c"] _run_validator_check(subtests, validator, valid, invalid) def test_password_rules_message(subtests): validator = password_rules(length=100, message="custom message") field = DummyField() field.data = "wrong" with raises(ValidationError) as e: validator(DummyForm(), field) assert str(e.value) == "custom message"

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0

null

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null

0

1

0

1

166b671e9115e476c69bab6e6077599dd6b6cdea

5,434

py

Python

tests/authorization/test_searches.py

UOC/dlkit

a9d265db67e81b9e0f405457464e762e2c03f769

[ "MIT" ]

2

2018-02-23T12:16:11.000Z

2020-10-08T17:54:24.000Z

tests/authorization/test_searches.py

UOC/dlkit

a9d265db67e81b9e0f405457464e762e2c03f769

[ "MIT" ]

87

2017-04-21T18:57:15.000Z

2021-12-13T19:43:57.000Z

tests/authorization/test_searches.py

UOC/dlkit

a9d265db67e81b9e0f405457464e762e2c03f769

[ "MIT" ]

1

2018-03-01T16:44:25.000Z

"""Unit tests of authorization searches.""" import pytest from ..utilities.general import is_never_authz, is_no_authz, uses_cataloging, uses_filesystem_only from dlkit.abstract_osid.osid import errors from dlkit.primordium.id.primitives import Id from dlkit.primordium.type.primitives import Type from dlkit.runtime import PROXY_SESSION, proxy_example from dlkit.runtime.managers import Runtime REQUEST = proxy_example.SimpleRequest() CONDITION = PROXY_SESSION.get_proxy_condition() CONDITION.set_http_request(REQUEST) PROXY = PROXY_SESSION.get_proxy(CONDITION) DEFAULT_TYPE = Type(**{'identifier': 'DEFAULT', 'namespace': 'DEFAULT', 'authority': 'DEFAULT'}) @pytest.fixture(scope="class", params=['TEST_SERVICE', 'TEST_SERVICE_ALWAYS_AUTHZ', 'TEST_SERVICE_NEVER_AUTHZ', 'TEST_SERVICE_CATALOGING', 'TEST_SERVICE_FILESYSTEM', 'TEST_SERVICE_MEMCACHE']) def authorization_search_class_fixture(request): # From test_templates/resource.py::ResourceSearch::init_template request.cls.service_config = request.param request.cls.svc_mgr = Runtime().get_service_manager( 'AUTHORIZATION', proxy=PROXY, implementation=request.cls.service_config) create_form = request.cls.svc_mgr.get_vault_form_for_create([]) create_form.display_name = 'Test catalog' create_form.description = 'Test catalog description' request.cls.catalog = request.cls.svc_mgr.create_vault(create_form) def class_tear_down(): request.cls.svc_mgr.delete_vault(request.cls.catalog.ident) request.addfinalizer(class_tear_down) @pytest.fixture(scope="function") def authorization_search_test_fixture(request): # From test_templates/resource.py::ResourceSearch::init_template request.cls.search = request.cls.catalog.get_authorization_search() @pytest.mark.usefixtures("authorization_search_class_fixture", "authorization_search_test_fixture") class TestAuthorizationSearch(object): """Tests for AuthorizationSearch""" @pytest.mark.skip('unimplemented test') def test_search_among_authorizations(self): """Tests search_among_authorizations""" pass @pytest.mark.skip('unimplemented test') def test_order_authorization_results(self): """Tests order_authorization_results""" pass @pytest.mark.skip('unimplemented test') def test_get_authorization_search_record(self): """Tests get_authorization_search_record""" pass @pytest.mark.usefixtures("authorization_search_results_class_fixture", "authorization_search_results_test_fixture") class TestAuthorizationSearchResults(object): """Tests for AuthorizationSearchResults""" @pytest.mark.skip('unimplemented test') def test_get_authorizations(self): """Tests get_authorizations""" pass @pytest.mark.skip('unimplemented test') def test_get_authorization_query_inspector(self): """Tests get_authorization_query_inspector""" pass @pytest.mark.skip('unimplemented test') def test_get_authorization_search_results_record(self): """Tests get_authorization_search_results_record""" pass @pytest.fixture(scope="class", params=['TEST_SERVICE', 'TEST_SERVICE_ALWAYS_AUTHZ', 'TEST_SERVICE_NEVER_AUTHZ', 'TEST_SERVICE_CATALOGING', 'TEST_SERVICE_FILESYSTEM', 'TEST_SERVICE_MEMCACHE']) def vault_search_class_fixture(request): # From test_templates/resource.py::ResourceSearch::init_template request.cls.service_config = request.param request.cls.svc_mgr = Runtime().get_service_manager( 'AUTHORIZATION', proxy=PROXY, implementation=request.cls.service_config) create_form = request.cls.svc_mgr.get_vault_form_for_create([]) create_form.display_name = 'Test catalog' create_form.description = 'Test catalog description' request.cls.catalog = request.cls.svc_mgr.create_vault(create_form) def class_tear_down(): request.cls.svc_mgr.delete_vault(request.cls.catalog.ident) request.addfinalizer(class_tear_down) @pytest.fixture(scope="function") def vault_search_test_fixture(request): # From test_templates/resource.py::ResourceSearch::init_template request.cls.search = request.cls.catalog.get_vault_search() @pytest.mark.usefixtures("vault_search_class_fixture", "vault_search_test_fixture") class TestVaultSearch(object): """Tests for VaultSearch""" @pytest.mark.skip('unimplemented test') def test_search_among_vaults(self): """Tests search_among_vaults""" pass @pytest.mark.skip('unimplemented test') def test_order_vault_results(self): """Tests order_vault_results""" pass @pytest.mark.skip('unimplemented test') def test_get_vault_search_record(self): """Tests get_vault_search_record""" pass @pytest.mark.usefixtures("vault_search_results_class_fixture", "vault_search_results_test_fixture") class TestVaultSearchResults(object): """Tests for VaultSearchResults""" @pytest.mark.skip('unimplemented test') def test_get_vaults(self): """Tests get_vaults""" pass @pytest.mark.skip('unimplemented test') def test_get_vault_query_inspector(self): """Tests get_vault_query_inspector""" pass @pytest.mark.skip('unimplemented test') def test_get_vault_search_results_record(self): """Tests get_vault_search_results_record""" pass

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null

0

null

0

1

0

1

166ed868a00e2876de6024b3dcf661e7d6afc455

216

py

Python

OOP_MiniQuiz/run_car_Level2.py

HelloYeew/helloyeew-lab-computer-programming-i

60b05072f32f23bab4a336b506ba7f66e52c045d

[ "MIT" ]

null

OOP_MiniQuiz/run_car_Level2.py

HelloYeew/helloyeew-lab-computer-programming-i

60b05072f32f23bab4a336b506ba7f66e52c045d

[ "MIT" ]

null

OOP_MiniQuiz/run_car_Level2.py

HelloYeew/helloyeew-lab-computer-programming-i

60b05072f32f23bab4a336b506ba7f66e52c045d

[ "MIT" ]

null

from car import * def compare(car1,car2): print(car1) print(car2) car1 = Car("Nissan","Tiida",450000) car2 = Car("Toyota","Vios",400000) car3 = Car("BMW","X3",3400000) compare(car3,car1) compare(car1,car2)

18

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0.222222

0

null

0

1

0

null

0

1

16725a52de27142aa18864c727dddea44204b666

5,940

py

Python

beartype/vale/__init__.py

posita/beartype

e56399686e1f2ffd5128a4030b19314504e32450

[ "MIT" ]

null

beartype/vale/__init__.py

posita/beartype

e56399686e1f2ffd5128a4030b19314504e32450

[ "MIT" ]

null

beartype/vale/__init__.py

posita/beartype

e56399686e1f2ffd5128a4030b19314504e32450

[ "MIT" ]

null

#!/usr/bin/env python3 # --------------------( LICENSE )-------------------- # Copyright (c) 2014-2021 Beartype authors. # See "LICENSE" for further details. ''' **Beartype validators.** This submodule publishes a PEP-compliant hierarchy of subscriptable (indexable) classes enabling callers to validate the internal structure of arbitrarily complex scalars, data structures, and third-party objects. Like annotation objects defined by the :mod:`typing` module (e.g., :attr:`typing.Union`), these classes dynamically generate PEP-compliant type hints when subscripted (indexed) and are thus intended to annotate callables and variables. Unlike annotation objects defined by the :mod:`typing` module, these classes are *not* explicitly covered by existing PEPs and thus *not* directly usable as annotations. Instead, callers are expected to (in order): #. Annotate callable parameters and returns to be validated with :pep:`593`-compliant :attr:`typing.Annotated` type hints. #. Subscript those hints with (in order): #. The type of those parameters and returns. #. One or more subscriptions of classes declared by this submodule. ''' # ....................{ IMPORTS }.................... #!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! # WARNING: To avoid polluting the public module namespace, external attributes # should be locally imported at module scope *ONLY* under alternate private # names (e.g., "from argparse import ArgumentParser as _ArgumentParser" rather # than merely "from argparse import ArgumentParser"). #!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! from beartype.vale._is._valeis import _IsFactory from beartype.vale._is._valeistype import ( _IsInstanceFactory, _IsSubclassFactory, ) from beartype.vale._is._valeisobj import _IsAttrFactory from beartype.vale._is._valeisoper import _IsEqualFactory # ....................{ SINGLETONS }.................... # Public factory singletons instantiating these private factory classes. Is = _IsFactory(basename='Is') IsAttr = _IsAttrFactory(basename='IsAttr') IsEqual = _IsEqualFactory(basename='IsEqual') IsInstance = _IsInstanceFactory(basename='IsInstance') IsSubclass = _IsSubclassFactory(basename='IsSubclass') # Delete all private factory classes imported above for safety. del ( _IsFactory, _IsAttrFactory, _IsEqualFactory, _IsInstanceFactory, _IsSubclassFactory, ) # ....................{ TODO }.................... #FIXME: As intelligently requested by @Saphyel at #32, add support for #additional classes support constraints resembling: # #* String constraints: # * Email. # * Uuid. # * Choice. # * Language. # * Locale. # * Country. # * Currency. #* Comparison constraints # * IdenticalTo. # * NotIdenticalTo. # * LessThan. # * GreaterThan. # * Range. # * DivisibleBy. #FIXME: Add a new BeartypeValidator.get_cause_or_none() method with the same #signature and docstring as the existing CauseSleuth.get_cause_or_none() #method. This new BeartypeValidator.get_cause_or_none() method should then be #called by the "_peperrorannotated" submodule to generate human-readable #exception messages. Note that this implies that: #* The BeartypeValidator.__init__() method will need to additionally accept a new # mandatory "get_cause_or_none: Callable[[], Optional[str]]" parameter, which # that method should then localize to "self.get_cause_or_none". #* Each __class_getitem__() dunder method of each "_BeartypeValidatorFactoryABC" subclass will need # to additionally define and pass that callable when creating and returning # its "BeartypeValidator" instance. #FIXME: *BRILLIANT IDEA.* Holyshitballstime. The idea here is that we can #leverage all of our existing "beartype.is" infrastructure to dynamically #synthesize PEP-compliant type hints that would then be implicitly supported by #any runtime type checker. At present, subscriptions of "Is" (e.g., #"Annotated[str, Is[lambda text: bool(text)]]") are only supported by beartype #itself. Of course, does anyone care? I mean, if you're using a runtime type #checker, you're probably *ONLY* using beartype. Right? That said, this would #technically improve portability by allowing users to switch between different #checkers... except not really, since they'd still have to import beartype #infrastructure to do so. So, this is probably actually useless. # #Nonetheless, the idea itself is trivial. We declare a new #"beartype.is.Portable" singleton accessed in the same way: e.g., # from beartype import beartype # from beartype.is import Portable # NonEmptyStringTest = Is[lambda text: bool(text)] # NonEmptyString = Portable[str, NonEmptyStringTest] # @beartype # def munge_it(text: NonEmptyString) -> str: ... # #So what's the difference between "typing.Annotated" and "beartype.is.Portable" #then? Simple. The latter dynamically generates one new PEP 3119-compliant #metaclass and associated class whenever subscripted. Clearly, this gets #expensive in both space and time consumption fast -- which is why this won't #be the default approach. For safety, this new class does *NOT* subclass the #first subscripted class. Instead: #* This new metaclass of this new class simply defines an __isinstancecheck__() # dunder method. For the above example, this would be: # class NonEmptyStringMetaclass(object): # def __isinstancecheck__(cls, obj) -> bool: # return isinstance(obj, str) and NonEmptyStringTest(obj) #* This new class would then be entirely empty. For the above example, this # would be: # class NonEmptyStringClass(object, metaclass=NonEmptyStringMetaclass): # pass # #Well, so much for brilliant. It's slow and big, so it seems doubtful anyone #would actually do that. Nonetheless, that's food for thought for you.

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null

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16848dd03e02c952cce813e4092be02064f38ca9

1,470

py

Python

githubdl/url_helpers.py

wilvk/githubdl

1dc8c1c0d93a8e4b8155aecf4f5e73e2931ed920

[ "MIT" ]

16

2018-06-20T00:01:40.000Z

2022-01-24T08:16:17.000Z

githubdl/url_helpers.py

wilvk/githubdl

1dc8c1c0d93a8e4b8155aecf4f5e73e2931ed920

[ "MIT" ]

12

2018-07-18T21:09:37.000Z

2020-03-28T23:38:13.000Z

githubdl/url_helpers.py

wilvk/githubdl

1dc8c1c0d93a8e4b8155aecf4f5e73e2931ed920

[ "MIT" ]

null

import re from urllib.parse import urlparse import logging def check_url_is_http(repo_url): predicate = re.compile('^https?://.*$') match = predicate.search(repo_url) return False if match is None else True def check_url_is_ssh(repo_url): predicate = re.compile(r'^git\@.*\.git$') match = predicate.search(repo_url) return False if match is None else True def get_domain_name_from_http_url(repo_url): site_object = urlparse(repo_url) return site_object.netloc def get_repo_name_from_http_url(repo_url): site_object = urlparse(repo_url) parsed_string = re.sub(r'\.git$', '', site_object.path) if parsed_string[0] == '/': return parsed_string[1:] return parsed_string def get_repo_name_from_ssh_url(repo_url): predicate = re.compile(r'(?<=\:)(.*)(?=\.)') match = predicate.search(repo_url) return match.group() def get_domain_name_from_ssh_url(repo_url): predicate = re.compile(r'(?<=\@)(.*)(?=\:)') match = predicate.search(repo_url) return match.group() def validate_protocol_exists(is_ssh, is_http): if not is_ssh and not is_http: err_message = "Error: repository url provided is not http(s) or ssh" logging.critical(err_message) raise RuntimeError(err_message) def check_url_protocol(repo_url): is_ssh = check_url_is_ssh(repo_url) is_http = check_url_is_http(repo_url) validate_protocol_exists(is_ssh, is_http) return (is_ssh, is_http)

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168cde4a792e9985c473078c1d3e1678761198e7

4,873

py

Python

homeassistant/components/media_player/pjlink.py

dauden1184/home-assistant

f4c6d389b77d0efa86644e76604eaea5d21abdb5

[ "Apache-2.0" ]

4

2019-01-10T14:47:54.000Z

2021-04-22T02:06:27.000Z

homeassistant/components/media_player/pjlink.py

dauden1184/home-assistant

f4c6d389b77d0efa86644e76604eaea5d21abdb5

[ "Apache-2.0" ]

6

2021-02-08T21:02:40.000Z

2022-03-12T00:52:16.000Z

homeassistant/components/media_player/pjlink.py

dauden1184/home-assistant

f4c6d389b77d0efa86644e76604eaea5d21abdb5

[ "Apache-2.0" ]

3

2018-08-29T19:26:20.000Z

2020-01-19T11:58:22.000Z

""" Support for controlling projector via the PJLink protocol. For more details about this platform, please refer to the documentation at https://home-assistant.io/components/media_player.pjlink/ """ import logging import voluptuous as vol from homeassistant.components.media_player import ( PLATFORM_SCHEMA, SUPPORT_SELECT_SOURCE, SUPPORT_TURN_OFF, SUPPORT_TURN_ON, SUPPORT_VOLUME_MUTE, MediaPlayerDevice) from homeassistant.const import ( CONF_HOST, CONF_NAME, CONF_PASSWORD, CONF_PORT, STATE_OFF, STATE_ON) import homeassistant.helpers.config_validation as cv REQUIREMENTS = ['pypjlink2==1.2.0'] _LOGGER = logging.getLogger(__name__) CONF_ENCODING = 'encoding' DEFAULT_PORT = 4352 DEFAULT_ENCODING = 'utf-8' PLATFORM_SCHEMA = PLATFORM_SCHEMA.extend({ vol.Required(CONF_HOST): cv.string, vol.Optional(CONF_PORT, default=DEFAULT_PORT): cv.port, vol.Optional(CONF_NAME): cv.string, vol.Optional(CONF_ENCODING, default=DEFAULT_ENCODING): cv.string, vol.Optional(CONF_PASSWORD): cv.string, }) SUPPORT_PJLINK = SUPPORT_VOLUME_MUTE | \ SUPPORT_TURN_ON | SUPPORT_TURN_OFF | SUPPORT_SELECT_SOURCE def setup_platform(hass, config, add_entities, discovery_info=None): """Set up the PJLink platform.""" host = config.get(CONF_HOST) port = config.get(CONF_PORT) name = config.get(CONF_NAME) encoding = config.get(CONF_ENCODING) password = config.get(CONF_PASSWORD) if 'pjlink' not in hass.data: hass.data['pjlink'] = {} hass_data = hass.data['pjlink'] device_label = "{}:{}".format(host, port) if device_label in hass_data: return device = PjLinkDevice(host, port, name, encoding, password) hass_data[device_label] = device add_entities([device], True) def format_input_source(input_source_name, input_source_number): """Format input source for display in UI.""" return "{} {}".format(input_source_name, input_source_number) class PjLinkDevice(MediaPlayerDevice): """Representation of a PJLink device.""" def __init__(self, host, port, name, encoding, password): """Iinitialize the PJLink device.""" self._host = host self._port = port self._name = name self._password = password self._encoding = encoding self._muted = False self._pwstate = STATE_OFF self._current_source = None with self.projector() as projector: if not self._name: self._name = projector.get_name() inputs = projector.get_inputs() self._source_name_mapping = \ {format_input_source(*x): x for x in inputs} self._source_list = sorted(self._source_name_mapping.keys()) def projector(self): """Create PJLink Projector instance.""" from pypjlink import Projector projector = Projector.from_address( self._host, self._port, self._encoding) projector.authenticate(self._password) return projector def update(self): """Get the latest state from the device.""" with self.projector() as projector: pwstate = projector.get_power() if pwstate == 'off': self._pwstate = STATE_OFF else: self._pwstate = STATE_ON self._muted = projector.get_mute()[1] self._current_source = \ format_input_source(*projector.get_input()) @property def name(self): """Return the name of the device.""" return self._name @property def state(self): """Return the state of the device.""" return self._pwstate @property def is_volume_muted(self): """Return boolean indicating mute status.""" return self._muted @property def source(self): """Return current input source.""" return self._current_source @property def source_list(self): """Return all available input sources.""" return self._source_list @property def supported_features(self): """Return projector supported features.""" return SUPPORT_PJLINK def turn_off(self): """Turn projector off.""" with self.projector() as projector: projector.set_power('off') def turn_on(self): """Turn projector on.""" with self.projector() as projector: projector.set_power('on') def mute_volume(self, mute): """Mute (true) of unmute (false) media player.""" with self.projector() as projector: from pypjlink import MUTE_AUDIO projector.set_mute(MUTE_AUDIO, mute) def select_source(self, source): """Set the input source.""" source = self._source_name_mapping[source] with self.projector() as projector: projector.set_input(*source)

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168f0267685e958dd990feeae60a1086e6b78107

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py

Python

pxr/usd/usdGeom/testenv/testUsdGeomSchemata.py

yurivict/USD

3b097e3ba8fabf1777a1256e241ea15df83f3065

[ "Apache-2.0" ]

1

2022-03-16T01:40:10.000Z

pxr/usd/usdGeom/testenv/testUsdGeomSchemata.py

yurivict/USD

3b097e3ba8fabf1777a1256e241ea15df83f3065

[ "Apache-2.0" ]

null

pxr/usd/usdGeom/testenv/testUsdGeomSchemata.py

yurivict/USD

3b097e3ba8fabf1777a1256e241ea15df83f3065

[ "Apache-2.0" ]

1

2018-10-03T19:08:33.000Z

#!/pxrpythonsubst # # Copyright 2017 Pixar # # Licensed under the Apache License, Version 2.0 (the "Apache License") # with the following modification; you may not use this file except in # compliance with the Apache License and the following modification to it: # Section 6. Trademarks. is deleted and replaced with: # # 6. Trademarks. This License does not grant permission to use the trade # names, trademarks, service marks, or product names of the Licensor # and its affiliates, except as required to comply with Section 4(c) of # the License and to reproduce the content of the NOTICE file. # # You may obtain a copy of the Apache License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the Apache License with the above modification is # distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the Apache License for the specific # language governing permissions and limitations under the Apache License. # pylint: disable=map-builtin-not-iterating import sys, unittest from pxr import Sdf, Usd, UsdGeom, Vt, Gf, Tf class TestUsdGeomSchemata(unittest.TestCase): def test_Basic(self): l = Sdf.Layer.CreateAnonymous() stage = Usd.Stage.Open(l.identifier) p = stage.DefinePrim("/Mesh", "Mesh") self.assertTrue(p) mesh = UsdGeom.Mesh(p) self.assertTrue(mesh) self.assertTrue(mesh.GetPrim()) self.assertTrue(not mesh.GetPointsAttr().Get(1)) self.assertEqual(p.GetTypeName(), Usd.SchemaRegistry().GetSchemaTypeName(mesh._GetStaticTfType())) # # Make sure uniform access behaves as expected. # ori = p.GetAttribute("orientation") # The generic orientation attribute should be automatically defined because # it is a registered attribute of a well known schema. However, it's not # yet authored at the current edit target. self.assertTrue(ori.IsDefined()) self.assertTrue(not ori.IsAuthoredAt(ori.GetStage().GetEditTarget())) # Author a value, and check that it's still defined, and now is in fact # authored at the current edit target. ori.Set(UsdGeom.Tokens.leftHanded) self.assertTrue(ori.IsDefined()) self.assertTrue(ori.IsAuthoredAt(ori.GetStage().GetEditTarget())) mesh.GetOrientationAttr().Set(UsdGeom.Tokens.rightHanded, 10) # "leftHanded" should have been authored at Usd.TimeCode.Default, so reading the # attribute at Default should return lh, not rh. self.assertEqual(ori.Get(), UsdGeom.Tokens.leftHanded) # The value "rightHanded" was set at t=10, so reading *any* time should # return "rightHanded" self.assertEqual(ori.Get(9.9), UsdGeom.Tokens.rightHanded) self.assertEqual(ori.Get(10), UsdGeom.Tokens.rightHanded) self.assertEqual(ori.Get(10.1), UsdGeom.Tokens.rightHanded) self.assertEqual(ori.Get(11), UsdGeom.Tokens.rightHanded) # # Attribute name sanity check. We expect the names returned by the schema # to match the names returned via the generic API. # self.assertTrue(len(mesh.GetSchemaAttributeNames()) > 0) self.assertNotEqual(mesh.GetSchemaAttributeNames(True), mesh.GetSchemaAttributeNames(False)) for n in mesh.GetSchemaAttributeNames(): # apiName overrides if n == "primvars:displayColor": n = "displayColor" elif n == "primvars:displayOpacity": n = "displayOpacity" name = n[0].upper() + n[1:] self.assertTrue(("Get" + name + "Attr") in dir(mesh), ("Get" + name + "Attr() not found in: " + str(dir(mesh)))) def test_IsA(self): # Author Scene and Compose Stage l = Sdf.Layer.CreateAnonymous() stage = Usd.Stage.Open(l.identifier) # For every prim schema type in this module, validate that: # 1. We can define a prim of its type # 2. Its type and inheritance matches our expectations # 3. At least one of its builtin properties is available and defined # BasisCurves Tests schema = UsdGeom.BasisCurves.Define(stage, "/BasisCurves") self.assertTrue(schema) prim = schema.GetPrim() self.assertFalse(prim.IsA(UsdGeom.Mesh)) # BasisCurves is not a Mesh self.assertTrue(prim.IsA(UsdGeom.Xformable)) # BasisCurves is a Xformable self.assertFalse(prim.IsA(UsdGeom.Cylinder)) # BasisCurves is not a Cylinder self.assertTrue(schema.GetBasisAttr()) # Camera Tests schema = UsdGeom.Camera.Define(stage, "/Camera") self.assertTrue(schema) prim = schema.GetPrim() self.assertFalse(prim.IsA(UsdGeom.Mesh)) # Camera is not a Mesh self.assertTrue(prim.IsA(UsdGeom.Xformable)) # Camera is a Xformable self.assertFalse(prim.IsA(UsdGeom.Cylinder)) # Camera is not a Cylinder self.assertTrue(schema.GetFocalLengthAttr()) # Capsule Tests schema = UsdGeom.Capsule.Define(stage, "/Capsule") self.assertTrue(schema) prim = schema.GetPrim() self.assertFalse(prim.IsA(UsdGeom.Mesh)) # Capsule is not a Mesh self.assertTrue(prim.IsA(UsdGeom.Xformable)) # Capsule is a Xformable self.assertFalse(prim.IsA(UsdGeom.Cylinder)) # Capsule is not a Cylinder self.assertTrue(schema.GetAxisAttr()) # Cone Tests schema = UsdGeom.Cone.Define(stage, "/Cone") self.assertTrue(schema) prim = schema.GetPrim() self.assertFalse(prim.IsA(UsdGeom.Mesh)) # Cone is not a Mesh self.assertTrue(prim.IsA(UsdGeom.Xformable)) # Cone is a Xformable self.assertFalse(prim.IsA(UsdGeom.Cylinder)) # Cone is not a Cylinder self.assertTrue(schema.GetAxisAttr()) # Cube Tests schema = UsdGeom.Cube.Define(stage, "/Cube") self.assertTrue(schema) prim = schema.GetPrim() self.assertFalse(prim.IsA(UsdGeom.Mesh)) # Cube is not a Mesh self.assertTrue(prim.IsA(UsdGeom.Xformable)) # Cube is a Xformable self.assertFalse(prim.IsA(UsdGeom.Cylinder)) # Cube is not a Cylinder self.assertTrue(schema.GetSizeAttr()) # Cylinder Tests schema = UsdGeom.Cylinder.Define(stage, "/Cylinder") self.assertTrue(schema) prim = schema.GetPrim() self.assertFalse(prim.IsA(UsdGeom.Mesh)) # Cylinder is not a Mesh self.assertTrue(prim.IsA(UsdGeom.Xformable)) # Cylinder is a Xformable self.assertTrue(prim.IsA(UsdGeom.Cylinder)) # Cylinder is a Cylinder self.assertTrue(schema.GetAxisAttr()) # Mesh Tests schema = UsdGeom.Mesh.Define(stage, "/Mesh") self.assertTrue(schema) prim = schema.GetPrim() self.assertTrue(prim.IsA(UsdGeom.Mesh)) # Mesh is a Mesh self.assertTrue(prim.IsA(UsdGeom.Xformable)) # Mesh is a XFormable self.assertFalse(prim.IsA(UsdGeom.Cylinder)) # Mesh is not a Cylinder self.assertTrue(schema.GetFaceVertexCountsAttr()) # NurbsCurves Tests schema = UsdGeom.NurbsCurves.Define(stage, "/NurbsCurves") self.assertTrue(schema) prim = schema.GetPrim() self.assertFalse(prim.IsA(UsdGeom.Mesh)) # NurbsCurves is not a Mesh self.assertTrue(prim.IsA(UsdGeom.Xformable)) # NurbsCurves is a Xformable self.assertFalse(prim.IsA(UsdGeom.Cylinder)) # NurbsCurves is not a Cylinder self.assertTrue(schema.GetKnotsAttr()) # NurbsPatch Tests schema = UsdGeom.NurbsPatch.Define(stage, "/NurbsPatch") self.assertTrue(schema) prim = schema.GetPrim() self.assertFalse(prim.IsA(UsdGeom.Mesh)) # NurbsPatch is not a Mesh self.assertTrue(prim.IsA(UsdGeom.Xformable)) # NurbsPatch is a Xformable self.assertFalse(prim.IsA(UsdGeom.Cylinder)) # NurbsPatch is not a Cylinder self.assertTrue(schema.GetUKnotsAttr()) # Points Tests schema = UsdGeom.Points.Define(stage, "/Points") self.assertTrue(schema) prim = schema.GetPrim() self.assertFalse(prim.IsA(UsdGeom.Mesh)) # Points is not a Mesh self.assertTrue(prim.IsA(UsdGeom.Xformable)) # Points is a Xformable self.assertFalse(prim.IsA(UsdGeom.Cylinder)) # Points is not a Cylinder self.assertTrue(schema.GetWidthsAttr()) # Scope Tests schema = UsdGeom.Scope.Define(stage, "/Scope") self.assertTrue(schema) prim = schema.GetPrim() self.assertFalse(prim.IsA(UsdGeom.Mesh)) # Scope is not a Mesh self.assertFalse(prim.IsA(UsdGeom.Xformable)) # Scope is not a Xformable self.assertFalse(prim.IsA(UsdGeom.Cylinder)) # Scope is not a Cylinder # Scope has no builtins! # Sphere Tests schema = UsdGeom.Sphere.Define(stage, "/Sphere") self.assertTrue(schema) prim = schema.GetPrim() self.assertFalse(prim.IsA(UsdGeom.Mesh)) # Sphere is not a Mesh self.assertTrue(prim.IsA(UsdGeom.Xformable)) # Sphere is a Xformable self.assertFalse(prim.IsA(UsdGeom.Cylinder)) # Sphere is not a Cylinder self.assertTrue(schema.GetRadiusAttr()) # Xform Tests schema = UsdGeom.Xform.Define(stage, "/Xform") self.assertTrue(schema) prim = schema.GetPrim() self.assertFalse(prim.IsA(UsdGeom.Mesh)) # Xform is not a Mesh self.assertTrue(prim.IsA(UsdGeom.Xformable)) # Xform is a Xformable self.assertFalse(prim.IsA(UsdGeom.Cylinder)) # Xform is not a Cylinder self.assertTrue(schema.GetXformOpOrderAttr()) def test_Fallbacks(self): # Author Scene and Compose Stage stage = Usd.Stage.CreateInMemory() # Xformable Tests identity = Gf.Matrix4d(1) origin = Gf.Vec3f(0, 0, 0) xform = UsdGeom.Xform.Define(stage, "/Xform") # direct subclass xformOpOrder = xform.GetXformOpOrderAttr() self.assertFalse(xformOpOrder.HasAuthoredValue()) # xformOpOrder has no fallback value self.assertEqual(xformOpOrder.Get(), None) self.assertFalse(xformOpOrder.HasFallbackValue()) # Try authoring and reverting... xformOpOrderAttr = xform.GetPrim().GetAttribute(UsdGeom.Tokens.xformOpOrder) self.assertTrue(xformOpOrderAttr) self.assertEqual(xformOpOrderAttr.Get(), None) opOrderVal = ["xformOp:transform"] self.assertTrue(xformOpOrderAttr.Set(opOrderVal)) self.assertTrue(xformOpOrderAttr.HasAuthoredValue()) self.assertNotEqual(xformOpOrderAttr.Get(), None) self.assertTrue(xformOpOrderAttr.Clear()) self.assertFalse(xformOpOrderAttr.HasAuthoredValue()) self.assertEqual(xformOpOrderAttr.Get(), None) self.assertFalse(xformOpOrder.HasFallbackValue()) mesh = UsdGeom.Mesh.Define(stage, "/Mesh") # multiple ancestor hops # PointBased and Curves curves = UsdGeom.BasisCurves.Define(stage, "/Curves") self.assertEqual(curves.GetNormalsInterpolation(), UsdGeom.Tokens.vertex) self.assertEqual(curves.GetWidthsInterpolation(), UsdGeom.Tokens.vertex) # Before we go, test that CreateXXXAttr performs as we expect in various # scenarios # Number 1: Sparse and non-sparse authoring on def'd prim mesh.CreateDoubleSidedAttr(False, True) self.assertFalse(mesh.GetDoubleSidedAttr().HasAuthoredValue()) mesh.CreateDoubleSidedAttr(False, False) self.assertTrue(mesh.GetDoubleSidedAttr().HasAuthoredValue()) # Number 2: Sparse authoring demotes to dense for non-defed prim overMesh = UsdGeom.Mesh(stage.OverridePrim('/overMesh')) overMesh.CreateDoubleSidedAttr(False, True) self.assertTrue(overMesh.GetDoubleSidedAttr().HasAuthoredValue()) self.assertEqual(overMesh.GetDoubleSidedAttr().Get(), False) overMesh.CreateDoubleSidedAttr(True, True) self.assertEqual(overMesh.GetDoubleSidedAttr().Get(), True) # make it a defined mesh, and sanity check it still evals the same mesh2 = UsdGeom.Mesh.Define(stage, "/overMesh") self.assertEqual(overMesh.GetDoubleSidedAttr().Get(), True) # Check querying of fallback values. sphere = UsdGeom.Sphere.Define(stage, "/Sphere") radius = sphere.GetRadiusAttr() self.assertTrue(radius.HasFallbackValue()) radiusQuery = Usd.AttributeQuery(radius) self.assertTrue(radiusQuery.HasFallbackValue()) def test_DefineSchema(self): s = Usd.Stage.CreateInMemory() parent = s.OverridePrim('/parent') self.assertTrue(parent) # Make a subscope. scope = UsdGeom.Scope.Define(s, '/parent/subscope') self.assertTrue(scope) # Assert that a simple find or create gives us the scope back. self.assertTrue(s.OverridePrim('/parent/subscope')) self.assertEqual(s.OverridePrim('/parent/subscope'), scope.GetPrim()) # Try to make a mesh at subscope's path. This transforms the scope into a # mesh, since Define() always authors typeName. mesh = UsdGeom.Mesh.Define(s, '/parent/subscope') self.assertTrue(mesh) self.assertTrue(not scope) # Make a mesh at a different path, should work. mesh = UsdGeom.Mesh.Define(s, '/parent/mesh') self.assertTrue(mesh) def test_BasicMetadataCases(self): s = Usd.Stage.CreateInMemory() spherePrim = UsdGeom.Sphere.Define(s, '/sphere').GetPrim() radius = spherePrim.GetAttribute('radius') self.assertTrue(radius.HasMetadata('custom')) self.assertTrue(radius.HasMetadata('typeName')) self.assertTrue(radius.HasMetadata('variability')) self.assertTrue(radius.IsDefined()) self.assertTrue(not radius.IsCustom()) self.assertEqual(radius.GetTypeName(), 'double') allMetadata = radius.GetAllMetadata() self.assertEqual(allMetadata['typeName'], 'double') self.assertEqual(allMetadata['variability'], Sdf.VariabilityVarying) self.assertEqual(allMetadata['custom'], False) # Author a custom property spec. layer = s.GetRootLayer() sphereSpec = layer.GetPrimAtPath('/sphere') radiusSpec = Sdf.AttributeSpec( sphereSpec, 'radius', Sdf.ValueTypeNames.Double, variability=Sdf.VariabilityUniform, declaresCustom=True) self.assertTrue(radiusSpec.custom) self.assertEqual(radiusSpec.variability, Sdf.VariabilityUniform) # Definition should win. self.assertTrue(not radius.IsCustom()) self.assertEqual(radius.GetVariability(), Sdf.VariabilityVarying) allMetadata = radius.GetAllMetadata() self.assertEqual(allMetadata['typeName'], 'double') self.assertEqual(allMetadata['variability'], Sdf.VariabilityVarying) self.assertEqual(allMetadata['custom'], False) # List fields on 'visibility' attribute -- should include 'allowedTokens', # provided by the property definition. visibility = spherePrim.GetAttribute('visibility') self.assertTrue(visibility.IsDefined()) self.assertTrue('allowedTokens' in visibility.GetAllMetadata()) # Assert that attribute fallback values are returned for builtin attributes. do = spherePrim.GetAttribute('primvars:displayOpacity') self.assertTrue(do.IsDefined()) self.assertTrue(do.Get() is None) def test_Camera(self): from pxr import Gf stage = Usd.Stage.CreateInMemory() camera = UsdGeom.Camera.Define(stage, "/Camera") self.assertTrue(camera.GetPrim().IsA(UsdGeom.Xformable)) # Camera is Xformable self.assertEqual(camera.GetProjectionAttr().Get(), 'perspective') camera.GetProjectionAttr().Set('orthographic') self.assertEqual(camera.GetProjectionAttr().Get(), 'orthographic') self.assertTrue(Gf.IsClose(camera.GetHorizontalApertureAttr().Get(), 0.825 * 25.4, 1e-5)) camera.GetHorizontalApertureAttr().Set(3.0) self.assertEqual(camera.GetHorizontalApertureAttr().Get(), 3.0) self.assertTrue(Gf.IsClose(camera.GetVerticalApertureAttr().Get(), 0.602 * 25.4, 1e-5)) camera.GetVerticalApertureAttr().Set(2.0) self.assertEqual(camera.GetVerticalApertureAttr().Get(), 2.0) self.assertEqual(camera.GetFocalLengthAttr().Get(), 50.0) camera.GetFocalLengthAttr().Set(35.0) self.assertTrue(Gf.IsClose(camera.GetFocalLengthAttr().Get(), 35.0, 1e-5)) self.assertEqual(camera.GetClippingRangeAttr().Get(), Gf.Vec2f(1, 1000000)) camera.GetClippingRangeAttr().Set(Gf.Vec2f(5, 10)) self.assertTrue(Gf.IsClose(camera.GetClippingRangeAttr().Get(), Gf.Vec2f(5, 10), 1e-5)) self.assertEqual(camera.GetClippingPlanesAttr().Get(), Vt.Vec4fArray()) cp = Vt.Vec4fArray([(1, 2, 3, 4), (8, 7, 6, 5)]) camera.GetClippingPlanesAttr().Set(cp) self.assertEqual(camera.GetClippingPlanesAttr().Get(), cp) cp = Vt.Vec4fArray() camera.GetClippingPlanesAttr().Set(cp) self.assertEqual(camera.GetClippingPlanesAttr().Get(), cp) self.assertEqual(camera.GetFStopAttr().Get(), 0.0) camera.GetFStopAttr().Set(2.8) self.assertTrue(Gf.IsClose(camera.GetFStopAttr().Get(), 2.8, 1e-5)) self.assertEqual(camera.GetFocusDistanceAttr().Get(), 0.0) camera.GetFocusDistanceAttr().Set(10.0) self.assertEqual(camera.GetFocusDistanceAttr().Get(), 10.0) def test_Points(self): stage = Usd.Stage.CreateInMemory() # Points Tests schema = UsdGeom.Points.Define(stage, "/Points") self.assertTrue(schema) # Test that id's roundtrip properly, for big numbers, and negative numbers ids = [8589934592, 1099511627776, 0, -42] schema.CreateIdsAttr(ids) resolvedIds = list(schema.GetIdsAttr().Get()) # convert VtArray to list self.assertEqual(ids, resolvedIds) def test_Revert_Bug111239(self): # This used to test a change for Bug111239, but now tests that this # fix has been reverted. We no longer allow the C++ typename be used as # a prim's typename. s = Usd.Stage.CreateInMemory() sphere = s.DefinePrim('/sphere', typeName='Sphere') tfTypeName = UsdGeom.Sphere._GetStaticTfType().typeName self.assertEqual(tfTypeName, 'UsdGeomSphere') usdGeomSphere = s.DefinePrim('/usdGeomSphere', typeName='tfTypeName') self.assertTrue(UsdGeom.Sphere(sphere)) self.assertTrue('radius' in [a.GetName() for a in sphere.GetAttributes()]) self.assertFalse(UsdGeom.Sphere(usdGeomSphere)) self.assertFalse('radius' in [a.GetName() for a in usdGeomSphere.GetAttributes()]) def test_ComputeExtent(self): from pxr import Gf # Create some simple test cases allPoints = [ [(1, 1, 0)], # Zero-Volume Extent Test [(0, 0, 0)], # Simple Width Test [(-1, -1, -1), (1, 1, 1)], # Multiple Width Test [(-1, -1, -1), (1, 1, 1)], # Erroneous Widths/Points Test # Complex Test, Many Points/Widths [(3, -1, 5), (-1.5, 0, 3), (1, 3, -2), (2, 2, -4)], ] allWidths = [ [0], # Zero-Volume Extent Test [2], # Simple Width Test [2, 4], # Multiple Width Test [2, 4, 5], # Erroneous Widths/Points Test [1, 2, 2, 1] # Complex Test, Many Points/Widths ] pointBasedSolutions = [ [(1, 1, 0), (1, 1, 0)], # Zero-Volume Extent Test [(0, 0, 0), (0, 0, 0)], # Simple Width Test [(-1, -1, -1), (1, 1, 1)], # Multiple Width Test # Erroneous Widths/Points Test -> Ok For Point-Based [(-1, -1, -1), (1, 1, 1)], [(-1.5, -1, -4), (3, 3, 5)] # Complex Test, Many Points/Widths ] pointsSolutions = [ [(1, 1, 0), (1, 1, 0)], # Zero-Volume Extent Test [(-1, -1, -1), (1, 1, 1)], # Simple Width Test [(-2, -2, -2), (3, 3, 3)], # Multiple Width Test # Erroneous Widths/Points Test -> Returns None None, [(-2.5, -1.5, -4.5), (3.5, 4, 5.5)] # Complex Test, Many Points/Widths ] # Perform the correctness tests for PointBased and Points # Test for empty points prims emptyPoints = [] extremeExtentArr = UsdGeom.PointBased.ComputeExtent(emptyPoints) # We need to map the contents of extremeExtentArr to floats from # num.float32s due to the way Gf.Vec3f is wrapped out # XXX: This is awful, it'd be nice to not do it extremeExtentRange = Gf.Range3f(Gf.Vec3f(*map(float, extremeExtentArr[0])), Gf.Vec3f(*map(float, extremeExtentArr[1]))) self.assertTrue(extremeExtentRange.IsEmpty()) # PointBased Test numDataSets = len(allPoints) for i in range(numDataSets): pointsData = allPoints[i] expectedExtent = pointBasedSolutions[i] actualExtent = UsdGeom.PointBased.ComputeExtent(pointsData) for a, b in zip(expectedExtent, actualExtent): self.assertTrue(Gf.IsClose(a, b, 1e-5)) # Points Test for i in range(numDataSets): pointsData = allPoints[i] widthsData = allWidths[i] expectedExtent = pointsSolutions[i] actualExtent = UsdGeom.Points.ComputeExtent(pointsData, widthsData) if actualExtent is not None and expectedExtent is not None: for a, b in zip(expectedExtent, actualExtent): self.assertTrue(Gf.IsClose(a, b, 1e-5)) # Compute extent via generic UsdGeom.Boundable API s = Usd.Stage.CreateInMemory() pointsPrim = UsdGeom.Points.Define(s, "/Points") pointsPrim.CreatePointsAttr(pointsData) pointsPrim.CreateWidthsAttr(widthsData) actualExtent = UsdGeom.Boundable.ComputeExtentFromPlugins( pointsPrim, Usd.TimeCode.Default()) if actualExtent is not None and expectedExtent is not None: for a, b in zip(expectedExtent, list(actualExtent)): self.assertTrue(Gf.IsClose(a, b, 1e-5)) # Mesh Test for i in range(numDataSets): pointsData = allPoints[i] expectedExtent = pointBasedSolutions[i] # Compute extent via generic UsdGeom.Boundable API. # UsdGeom.Mesh does not have its own compute extent function, so # it should fall back to the extent for PointBased prims. s = Usd.Stage.CreateInMemory() meshPrim = UsdGeom.Mesh.Define(s, "/Mesh") meshPrim.CreatePointsAttr(pointsData) actualExtent = UsdGeom.Boundable.ComputeExtentFromPlugins( meshPrim, Usd.TimeCode.Default()) for a, b in zip(expectedExtent, actualExtent): self.assertTrue(Gf.IsClose(a, b, 1e-5)) # Test UsdGeomCurves curvesPoints = [ [(0,0,0), (1,1,1), (2,1,1), (3,0,0)], # Test Curve with 1 width [(0,0,0), (1,1,1), (2,1,1), (3,0,0)], # Test Curve with 2 widths [(0,0,0), (1,1,1), (2,1,1), (3,0,0)] # Test Curve with no width ] curvesWidths = [ [1], # Test Curve with 1 width [.5, .1], # Test Curve with 2 widths [] # Test Curve with no width ] curvesSolutions = [ [(-.5,-.5,-.5), (3.5,1.5,1.5)], # Test Curve with 1 width [(-.25,-.25,-.25), (3.25,1.25,1.25)], # Test Curve with 2 widths (MAX) [(0,0,0), (3,1,1)], # Test Curve with no width ] # Perform the actual v. expected comparison numDataSets = len(curvesPoints) for i in range(numDataSets): pointsData = curvesPoints[i] widths = curvesWidths[i] expectedExtent = curvesSolutions[i] actualExtent = UsdGeom.Curves.ComputeExtent(pointsData, widths) for a, b in zip(expectedExtent, actualExtent): self.assertTrue(Gf.IsClose(a, b, 1e-5)) # Compute extent via generic UsdGeom.Boundable API s = Usd.Stage.CreateInMemory() nurbsCurvesPrim = UsdGeom.NurbsCurves.Define(s, "/NurbsCurves") nurbsCurvesPrim.CreatePointsAttr(pointsData) nurbsCurvesPrim.CreateWidthsAttr(widths) actualExtent = UsdGeom.Boundable.ComputeExtentFromPlugins( nurbsCurvesPrim, Usd.TimeCode.Default()) for a, b in zip(expectedExtent, actualExtent): self.assertTrue(Gf.IsClose(a, b, 1e-5)) basisCurvesPrim = UsdGeom.BasisCurves.Define(s, "/BasisCurves") basisCurvesPrim.CreatePointsAttr(pointsData) basisCurvesPrim.CreateWidthsAttr(widths) actualExtent = UsdGeom.Boundable.ComputeExtentFromPlugins( basisCurvesPrim, Usd.TimeCode.Default()) for a, b in zip(expectedExtent, actualExtent): self.assertTrue(Gf.IsClose(a, b, 1e-5)) def test_TypeUsage(self): # Perform Type-Ness Checking for ComputeExtent pointsAsList = [(0, 0, 0), (1, 1, 1), (2, 2, 2)] pointsAsVec3fArr = Vt.Vec3fArray(pointsAsList) comp = UsdGeom.PointBased.ComputeExtent expectedExtent = comp(pointsAsVec3fArr) actualExtent = comp(pointsAsList) for a, b in zip(expectedExtent, actualExtent): self.assertTrue(Gf.IsClose(a, b, 1e-5)) def test_Bug116593(self): from pxr import Gf s = Usd.Stage.CreateInMemory() prim = s.DefinePrim('/sphere', typeName='Sphere') # set with list of tuples vec = [(1,2,2),(12,3,3)] self.assertTrue(UsdGeom.ModelAPI(prim).SetExtentsHint(vec)) self.assertEqual(UsdGeom.ModelAPI(prim).GetExtentsHint()[0], Gf.Vec3f(1,2,2)) self.assertEqual(UsdGeom.ModelAPI(prim).GetExtentsHint()[1], Gf.Vec3f(12,3,3)) # set with Gf vecs vec = [Gf.Vec3f(1,2,2), Gf.Vec3f(1,1,1)] self.assertTrue(UsdGeom.ModelAPI(prim).SetExtentsHint(vec)) self.assertEqual(UsdGeom.ModelAPI(prim).GetExtentsHint()[0], Gf.Vec3f(1,2,2)) self.assertEqual(UsdGeom.ModelAPI(prim).GetExtentsHint()[1], Gf.Vec3f(1,1,1)) def test_Typed(self): from pxr import Tf xform = Tf.Type.FindByName("UsdGeomXform") imageable = Tf.Type.FindByName("UsdGeomImageable") geomModelAPI = Tf.Type.FindByName("UsdGeomModelAPI") self.assertTrue(Usd.SchemaRegistry.IsTyped(xform)) self.assertTrue(Usd.SchemaRegistry.IsTyped(imageable)) self.assertFalse(Usd.SchemaRegistry.IsTyped(geomModelAPI)) def test_Concrete(self): from pxr import Tf xform = Tf.Type.FindByName("UsdGeomXform") imageable = Tf.Type.FindByName("UsdGeomImageable") geomModelAPI = Tf.Type.FindByName("UsdGeomModelAPI") self.assertTrue(Usd.SchemaRegistry().IsConcrete(xform)) self.assertFalse(Usd.SchemaRegistry().IsConcrete(imageable)) self.assertFalse(Usd.SchemaRegistry().IsConcrete(geomModelAPI)) def test_Apply(self): s = Usd.Stage.CreateInMemory('AppliedSchemas.usd') root = s.DefinePrim('/hello') self.assertEqual([], root.GetAppliedSchemas()) # Check duplicates UsdGeom.MotionAPI.Apply(root) self.assertEqual(['MotionAPI'], root.GetAppliedSchemas()) UsdGeom.MotionAPI.Apply(root) self.assertEqual(['MotionAPI'], root.GetAppliedSchemas()) # Ensure duplicates aren't picked up UsdGeom.ModelAPI.Apply(root) self.assertEqual(['MotionAPI', 'GeomModelAPI'], root.GetAppliedSchemas()) # Verify that we get exceptions but don't crash when applying to the # null prim. with self.assertRaises(Tf.ErrorException): self.assertFalse(UsdGeom.MotionAPI.Apply(Usd.Prim())) with self.assertRaises(Tf.ErrorException): self.assertFalse(UsdGeom.ModelAPI.Apply(Usd.Prim())) def test_IsATypeless(self): from pxr import Usd, Tf s = Usd.Stage.CreateInMemory() spherePrim = s.DefinePrim('/sphere', typeName='Sphere') typelessPrim = s.DefinePrim('/regular') types = [Tf.Type.FindByName('UsdGeomSphere'), Tf.Type.FindByName('UsdGeomGprim'), Tf.Type.FindByName('UsdGeomBoundable'), Tf.Type.FindByName('UsdGeomXformable'), Tf.Type.FindByName('UsdGeomImageable'), Tf.Type.FindByName('UsdTyped')] # Our sphere prim should return true on IsA queries for Sphere # and everything it inherits from. Our plain prim should return false # for all of them. for t in types: self.assertTrue(spherePrim.IsA(t)) self.assertFalse(typelessPrim.IsA(t)) def test_HasAPI(self): from pxr import Usd, Tf s = Usd.Stage.CreateInMemory() prim = s.DefinePrim('/prim') types = [Tf.Type.FindByName('UsdGeomMotionAPI'), Tf.Type.FindByName('UsdGeomModelAPI')] # Check that no APIs have yet been applied for t in types: self.assertFalse(prim.HasAPI(t)) # Apply our schemas to this prim UsdGeom.ModelAPI.Apply(prim) UsdGeom.MotionAPI.Apply(prim) # Check that all our applied schemas show up for t in types: self.assertTrue(prim.HasAPI(t)) # Check that we get an exception for unknown and non-API types with self.assertRaises(Tf.ErrorException): prim.HasAPI(Tf.Type.Unknown) with self.assertRaises(Tf.ErrorException): prim.HasAPI(Tf.Type.FindByName('UsdGeomXform')) with self.assertRaises(Tf.ErrorException): prim.HasAPI(Tf.Type.FindByName('UsdGeomImageable')) with self.assertRaises(Tf.ErrorException): # Test with a non-applied API schema. prim.HasAPI(Tf.Type.FindByName('UsdModelAPI')) if __name__ == "__main__": unittest.main()

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1694a3aec6658351c14a81b2e91e92955b6cb8a7

341

py

Python

lucky_guess/__init__.py

mfinzi/lucky-guess-chemist

01898b733dc7d026f70d0cb6337309cb600502fb

[ "MIT" ]

null

lucky_guess/__init__.py

mfinzi/lucky-guess-chemist

01898b733dc7d026f70d0cb6337309cb600502fb

[ "MIT" ]

null

lucky_guess/__init__.py

mfinzi/lucky-guess-chemist

01898b733dc7d026f70d0cb6337309cb600502fb

[ "MIT" ]

null

import importlib import pkgutil __all__ = [] for loader, module_name, is_pkg in pkgutil.walk_packages(__path__): module = importlib.import_module('.'+module_name,package=__name__) try: globals().update({k: getattr(module, k) for k in module.__all__}) __all__ += module.__all__ except AttributeError: continue

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334

py

Python

src/djangoreactredux/wsgi.py

noscripter/django-react-redux-jwt-base

078fb86005db106365df51fa11d8602fa432e3c3

[ "MIT" ]

4

2016-07-03T08:18:45.000Z

2018-12-25T07:47:41.000Z

src/djangoreactredux/wsgi.py

noscripter/django-react-redux-jwt-base

078fb86005db106365df51fa11d8602fa432e3c3

[ "MIT" ]

2

2021-03-20T00:02:08.000Z

2021-06-10T23:34:26.000Z

src/djangoreactredux/wsgi.py

noscripter/django-react-redux-jwt-base

078fb86005db106365df51fa11d8602fa432e3c3

[ "MIT" ]

1

2019-08-02T14:51:41.000Z

""" WSGI config for django-react-redux-jwt-base project. """ import os os.environ.setdefault("DJANGO_SETTINGS_MODULE", "djangoreactredux.settings.dev") from django.core.wsgi import get_wsgi_application from whitenoise.django import DjangoWhiteNoise application = get_wsgi_application() application = DjangoWhiteNoise(application)

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0

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null

0

1

0

1

16a89cacbc82dd93659b9a841883e22a139d8576

447

py

Python

main.py

1999foxes/run-cmd-from-websocket

0e2a080fe92b93c6cba63dfe5649ac2a3e745009

[ "Apache-2.0" ]

null

main.py

1999foxes/run-cmd-from-websocket

0e2a080fe92b93c6cba63dfe5649ac2a3e745009

[ "Apache-2.0" ]

null

main.py

1999foxes/run-cmd-from-websocket

0e2a080fe92b93c6cba63dfe5649ac2a3e745009

[ "Apache-2.0" ]

null

import asyncio import json import logging import websockets logging.basicConfig() async def counter(websocket, path): try: print("connect") async for message in websocket: print(message) finally: USERS.remove(websocket) async def main(): async with websockets.serve(counter, "localhost", 5000): await asyncio.Future() # run forever if __name__ == "__main__": asyncio.run(main())

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null

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null

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1

16a8a652721deb01765dac84306cf8e790d8b09a

3,998

py

Python

3d_Vnet/3dvnet.py

GingerSpacetail/Brain-Tumor-Segmentation-and-Survival-Prediction-using-Deep-Neural-Networks

f627ce48e44bcc7d295ee1cf4086bfdfd7705d44

[ "MIT" ]

100

2020-05-21T10:23:31.000Z

2022-03-26T18:26:38.000Z

3d_Vnet/3dvnet.py

GingerSpacetail/Brain-Tumor-Segmentation-and-Survival-Prediction-using-Deep-Neural-Networks

f627ce48e44bcc7d295ee1cf4086bfdfd7705d44

[ "MIT" ]

3

2020-08-19T18:14:01.000Z

2021-01-04T09:53:07.000Z

3d_Vnet/3dvnet.py

GingerSpacetail/Brain-Tumor-Segmentation-and-Survival-Prediction-using-Deep-Neural-Networks

f627ce48e44bcc7d295ee1cf4086bfdfd7705d44

[ "MIT" ]

25

2020-09-05T04:19:22.000Z

2022-02-09T19:30:29.000Z

import random import pandas as pd import numpy as np import matplotlib.pyplot as plt #%matplotlib inline import tensorflow as tf import keras.backend as K from keras.utils import to_categorical from keras import metrics from keras.models import Model, load_model from keras.layers import Input, BatchNormalization, Activation, Dense, Dropout,Maximum from keras.layers.core import Lambda, RepeatVector, Reshape from keras.layers.convolutional import Conv2D, Conv2DTranspose,Conv3D,Conv3DTranspose from keras.layers.pooling import MaxPooling2D, GlobalMaxPool2D,MaxPooling3D from keras.layers.merge import concatenate, add from keras.callbacks import EarlyStopping, ModelCheckpoint, ReduceLROnPlateau from keras.optimizers import Adam from keras.preprocessing.image import ImageDataGenerator, array_to_img, img_to_array, load_img from skimage.io import imread, imshow, concatenate_images from skimage.transform import resize from sklearn.utils import class_weight from keras.callbacks import ModelCheckpoint from keras.callbacks import CSVLogger from keras.callbacks import EarlyStopping from keras.layers.advanced_activations import PReLU import os from skimage.io import imread, imshow, concatenate_images from skimage.transform import resize # from medpy.io import load import numpy as np #import cv2 import nibabel as nib from PIL import Image def conv_block(input_mat,num_filters,kernel_size,batch_norm): X = Conv3D(num_filters,kernel_size=(kernel_size,kernel_size,kernel_size),strides=(1,1,1),padding='same')(input_mat) if batch_norm: X = BatchNormalization()(X) X = Activation('relu')(X) X = Conv3D(num_filters,kernel_size=(kernel_size,kernel_size,kernel_size),strides=(1,1,1),padding='same')(X) if batch_norm: X = BatchNormalization()(X) X = Activation('relu')(X) X = add([input_mat,X]); return X def Vnet_3d(input_img, n_filters = 8, dropout = 0.2, batch_norm = True): #c1 = conv_block(input_img,n_filters,3,batch_norm) c1 = Conv3D(n_filters,kernel_size = (5,5,5) , strides = (1,1,1) , padding='same')(input_img) #c1 = add([c1,input_img]) c2 = Conv3D(n_filters*2,kernel_size = (2,2,2) , strides = (2,2,2) , padding = 'same' )(c1) c3 = conv_block(c2 , n_filters*2,5,True) p3 = Conv3D(n_filters*4,kernel_size = (2,2,2) , strides = (2,2,2), padding = 'same')(c3) p3 = Dropout(dropout)(p3) c4 = conv_block(p3, n_filters*4,5,True) p4 = Conv3D(n_filters*8,kernel_size = (2,2,2) , strides = (2,2,2) , padding='same')(c4) p4 = Dropout(dropout)(p4) c5 = conv_block(p4, n_filters*8,5,True) p6 = Conv3D(n_filters*16,kernel_size = (2,2,2) , strides = (2,2,2) , padding='same')(c5) p6 = Dropout(dropout)(p6) #c6 = conv_block(p5, n_filters*8,5,True) #p6 = Conv3D(n_filters*16,kernel_size = (2,2,2) , strides = (2,2,2) , padding='same')(c6) p7 = conv_block(p6,n_filters*16,5,True) u6 = Conv3DTranspose(n_filters*8, (2,2,2), strides=(2, 2, 2), padding='same')(p7); u6 = concatenate([u6,c5]); c7 = conv_block(u6,n_filters*16,5,True) c7 = Dropout(dropout)(c7) u7 = Conv3DTranspose(n_filters*4,(2,2,2),strides = (2,2,2) , padding= 'same')(c7); u8 = concatenate([u7,c4]); c8 = conv_block(u8,n_filters*8,5,True) c8 = Dropout(dropout)(c8) u9 = Conv3DTranspose(n_filters*2,(2,2,2),strides = (2,2,2) , padding= 'same')(c8); u9 = concatenate([u9,c3]); c9 = conv_block(u9,n_filters*4,5,True) c9 = Dropout(dropout)(c9) u10 = Conv3DTranspose(n_filters,(2,2,2),strides = (2,2,2) , padding= 'same')(c9); u10 = concatenate([u10,c1]); c10 = Conv3D(n_filters*2,kernel_size = (5,5,5),strides = (1,1,1) , padding = 'same')(u10); c10 = Dropout(dropout)(c10) c10 = add([c10,u10]); #c9 = conv_block(u9,n_filters,3,batch_norm) outputs = Conv3D(4, (1,1,1), activation='softmax')(c10) model = Model(inputs=input_img, outputs=outputs) return model

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1

16a9cd5f8c3947e5f770014cb07528f411173928

18,818

py

Python

lib/networks/Resnet50_train.py

yangxue0827/TF_Deformable_Net

00c86380fd2725ebe7ae22f41d460ffc0bca378d

[ "MIT" ]

193

2017-07-19T14:29:38.000Z

2021-10-20T07:35:42.000Z

lib/networks/Resnet50_train.py

yangxue0827/TF_Deformable_Net

00c86380fd2725ebe7ae22f41d460ffc0bca378d

[ "MIT" ]

29

2017-07-24T10:07:22.000Z

2020-01-03T20:38:36.000Z

lib/networks/Resnet50_train.py

Zardinality/TF_Deformable_Net

00c86380fd2725ebe7ae22f41d460ffc0bca378d

[ "MIT" ]

67

2017-07-27T14:32:47.000Z

2021-12-27T13:10:37.000Z

# -------------------------------------------------------- # TFFRCNN - Resnet50 # Copyright (c) 2016 # Licensed under The MIT License [see LICENSE for details] # Written by miraclebiu # -------------------------------------------------------- import tensorflow as tf from .network import Network from ..fast_rcnn.config import cfg class Resnet50_train(Network): def __init__(self, trainable=True): self.inputs = [] self.data = tf.placeholder(tf.float32, shape=[None, None, None, 3], name='data') self.im_info = tf.placeholder(tf.float32, shape=[None, 3], name='im_info') self.gt_boxes = tf.placeholder(tf.float32, shape=[None, 5], name='gt_boxes') self.gt_ishard = tf.placeholder(tf.int32, shape=[None], name='gt_ishard') self.dontcare_areas = tf.placeholder(tf.float32, shape=[None, 4], name='dontcare_areas') self.keep_prob = tf.placeholder(tf.float32) self.layers = dict({'data':self.data, 'im_info':self.im_info, 'gt_boxes':self.gt_boxes,\ 'gt_ishard': self.gt_ishard, 'dontcare_areas': self.dontcare_areas}) self.trainable = trainable self.setup() def setup(self): n_classes = cfg.NCLASSES # anchor_scales = [8, 16, 32] anchor_scales = cfg.ANCHOR_SCALES _feat_stride = [16, ] (self.feed('data') .conv(7, 7, 64, 2, 2, relu=False, name='conv1') .batch_normalization(relu=True, name='bn_conv1', is_training=False) .max_pool(3, 3, 2, 2, padding='VALID',name='pool1') .conv(1, 1, 256, 1, 1, biased=False, relu=False, name='res2a_branch1') .batch_normalization(name='bn2a_branch1',is_training=False,relu=False)) (self.feed('pool1') .conv(1, 1, 64, 1, 1, biased=False, relu=False, name='res2a_branch2a') .batch_normalization(relu=True, name='bn2a_branch2a',is_training=False) .conv(3, 3, 64, 1, 1, biased=False, relu=False, name='res2a_branch2b') .batch_normalization(relu=True, name='bn2a_branch2b',is_training=False) .conv(1, 1, 256, 1, 1, biased=False, relu=False, name='res2a_branch2c') .batch_normalization(name='bn2a_branch2c',is_training=False,relu=False)) (self.feed('bn2a_branch1', 'bn2a_branch2c') .add(name='res2a') .relu(name='res2a_relu') .conv(1, 1, 64, 1, 1, biased=False, relu=False, name='res2b_branch2a') .batch_normalization(relu=True, name='bn2b_branch2a',is_training=False) .conv(3, 3, 64, 1, 1, biased=False, relu=False, name='res2b_branch2b') .batch_normalization(relu=True, name='bn2b_branch2b',is_training=False) .conv(1, 1, 256, 1, 1, biased=False, relu=False, name='res2b_branch2c') .batch_normalization(name='bn2b_branch2c',is_training=False,relu=False)) (self.feed('res2a_relu', 'bn2b_branch2c') .add(name='res2b') .relu(name='res2b_relu') .conv(1, 1, 64, 1, 1, biased=False, relu=False, name='res2c_branch2a') .batch_normalization(relu=True, name='bn2c_branch2a',is_training=False) .conv(3, 3, 64, 1, 1, biased=False, relu=False, name='res2c_branch2b') .batch_normalization(relu=True, name='bn2c_branch2b',is_training=False) .conv(1, 1, 256, 1, 1, biased=False, relu=False, name='res2c_branch2c') .batch_normalization(name='bn2c_branch2c',is_training=False,relu=False)) (self.feed('res2b_relu', 'bn2c_branch2c') .add(name='res2c') .relu(name='res2c_relu') .conv(1, 1, 512, 2, 2, biased=False, relu=False, name='res3a_branch1', padding='VALID') .batch_normalization(name='bn3a_branch1',is_training=False,relu=False)) (self.feed('res2c_relu') .conv(1, 1, 128, 2, 2, biased=False, relu=False, name='res3a_branch2a', padding='VALID') .batch_normalization(relu=True, name='bn3a_branch2a',is_training=False) .conv(3, 3, 128, 1, 1, biased=False, relu=False, name='res3a_branch2b') .batch_normalization(relu=True, name='bn3a_branch2b',is_training=False) .conv(1, 1, 512, 1, 1, biased=False, relu=False, name='res3a_branch2c') .batch_normalization(name='bn3a_branch2c',is_training=False,relu=False)) (self.feed('bn3a_branch1', 'bn3a_branch2c') .add(name='res3a') .relu(name='res3a_relu') .conv(1, 1, 128, 1, 1, biased=False, relu=False, name='res3b_branch2a') .batch_normalization(relu=True, name='bn3b_branch2a',is_training=False) .conv(3, 3, 128, 1, 1, biased=False, relu=False, name='res3b_branch2b') .batch_normalization(relu=True, name='bn3b_branch2b',is_training=False) .conv(1, 1, 512, 1, 1, biased=False, relu=False, name='res3b_branch2c') .batch_normalization(name='bn3b_branch2c',is_training=False,relu=False)) (self.feed('res3a_relu', 'bn3b_branch2c') .add(name='res3b') .relu(name='res3b_relu') .conv(1, 1, 128, 1, 1, biased=False, relu=False, name='res3c_branch2a') .batch_normalization(relu=True, name='bn3c_branch2a',is_training=False) .conv(3, 3, 128, 1, 1, biased=False, relu=False, name='res3c_branch2b') .batch_normalization(relu=True, name='bn3c_branch2b',is_training=False) .conv(1, 1, 512, 1, 1, biased=False, relu=False, name='res3c_branch2c') .batch_normalization(name='bn3c_branch2c',is_training=False,relu=False)) (self.feed('res3b_relu', 'bn3c_branch2c') .add(name='res3c') .relu(name='res3c_relu') .conv(1, 1, 128, 1, 1, biased=False, relu=False, name='res3d_branch2a') .batch_normalization(relu=True, name='bn3d_branch2a',is_training=False) .conv(3, 3, 128, 1, 1, biased=False, relu=False, name='res3d_branch2b') .batch_normalization(relu=True, name='bn3d_branch2b',is_training=False) .conv(1, 1, 512, 1, 1, biased=False, relu=False, name='res3d_branch2c') .batch_normalization(name='bn3d_branch2c',is_training=False,relu=False)) (self.feed('res3c_relu', 'bn3d_branch2c') .add(name='res3d') .relu(name='res3d_relu') .conv(1, 1, 1024, 2, 2, biased=False, relu=False, name='res4a_branch1', padding='VALID') .batch_normalization(name='bn4a_branch1',is_training=False,relu=False)) (self.feed('res3d_relu') .conv(1, 1, 256, 2, 2, biased=False, relu=False, name='res4a_branch2a', padding='VALID') .batch_normalization(relu=True, name='bn4a_branch2a',is_training=False) .conv(3, 3, 256, 1, 1, biased=False, relu=False, name='res4a_branch2b') .batch_normalization(relu=True, name='bn4a_branch2b',is_training=False) .conv(1, 1, 1024, 1, 1, biased=False, relu=False, name='res4a_branch2c') .batch_normalization(name='bn4a_branch2c',is_training=False,relu=False)) (self.feed('bn4a_branch1', 'bn4a_branch2c') .add(name='res4a') .relu(name='res4a_relu') .conv(1, 1, 256, 1, 1, biased=False, relu=False, name='res4b_branch2a') .batch_normalization(relu=True, name='bn4b_branch2a',is_training=False) .conv(3, 3, 256, 1, 1, biased=False, relu=False, name='res4b_branch2b') .batch_normalization(relu=True, name='bn4b_branch2b',is_training=False) .conv(1, 1, 1024, 1, 1, biased=False, relu=False, name='res4b_branch2c') .batch_normalization(name='bn4b_branch2c',is_training=False,relu=False)) (self.feed('res4a_relu', 'bn4b_branch2c') .add(name='res4b') .relu(name='res4b_relu') .conv(1, 1, 256, 1, 1, biased=False, relu=False, name='res4c_branch2a') .batch_normalization(relu=True, name='bn4c_branch2a',is_training=False) .conv(3, 3, 256, 1, 1, biased=False, relu=False, name='res4c_branch2b') .batch_normalization(relu=True, name='bn4c_branch2b',is_training=False) .conv(1, 1, 1024, 1, 1, biased=False, relu=False, name='res4c_branch2c') .batch_normalization(name='bn4c_branch2c',is_training=False,relu=False)) (self.feed('res4b_relu', 'bn4c_branch2c') .add(name='res4c') .relu(name='res4c_relu') .conv(1, 1, 256, 1, 1, biased=False, relu=False, name='res4d_branch2a') .batch_normalization(relu=True, name='bn4d_branch2a',is_training=False) .conv(3, 3, 256, 1, 1, biased=False, relu=False, name='res4d_branch2b') .batch_normalization(relu=True, name='bn4d_branch2b',is_training=False) .conv(1, 1, 1024, 1, 1, biased=False, relu=False, name='res4d_branch2c') .batch_normalization(name='bn4d_branch2c',is_training=False,relu=False)) (self.feed('res4c_relu', 'bn4d_branch2c') .add(name='res4d') .relu(name='res4d_relu') .conv(1, 1, 256, 1, 1, biased=False, relu=False, name='res4e_branch2a') .batch_normalization(relu=True, name='bn4e_branch2a',is_training=False) .conv(3, 3, 256, 1, 1, biased=False, relu=False, name='res4e_branch2b') .batch_normalization(relu=True, name='bn4e_branch2b',is_training=False) .conv(1, 1, 1024, 1, 1, biased=False, relu=False, name='res4e_branch2c') .batch_normalization(name='bn4e_branch2c',is_training=False,relu=False)) (self.feed('res4d_relu', 'bn4e_branch2c') .add(name='res4e') .relu(name='res4e_relu') .conv(1, 1, 256, 1, 1, biased=False, relu=False, name='res4f_branch2a') .batch_normalization(relu=True, name='bn4f_branch2a',is_training=False) .conv(3, 3, 256, 1, 1, biased=False, relu=False, name='res4f_branch2b') .batch_normalization(relu=True, name='bn4f_branch2b',is_training=False) .conv(1, 1, 1024, 1, 1, biased=False, relu=False, name='res4f_branch2c') .batch_normalization(name='bn4f_branch2c',is_training=False,relu=False)) (self.feed('res4e_relu', 'bn4f_branch2c') .add(name='res4f') .relu(name='res4f_relu')) #========= RPN ============ (self.feed('res4f_relu') .conv(3,3,512,1,1,name='rpn_conv/3x3') .conv(1,1,len(anchor_scales)*3*2 ,1 , 1, padding='VALID', relu = False, name='rpn_cls_score')) (self.feed('rpn_cls_score', 'gt_boxes', 'gt_ishard', 'dontcare_areas', 'im_info') .anchor_target_layer(_feat_stride, anchor_scales, name = 'rpn-data' )) # Loss of rpn_cls & rpn_boxes (self.feed('rpn_conv/3x3') .conv(1,1,len(anchor_scales)*3*4, 1, 1, padding='VALID', relu = False, name='rpn_bbox_pred')) #========= RoI Proposal ============ (self.feed('rpn_cls_score') .spatial_reshape_layer(2, name = 'rpn_cls_score_reshape') .spatial_softmax(name='rpn_cls_prob')) (self.feed('rpn_cls_prob') .spatial_reshape_layer(len(anchor_scales)*3*2, name = 'rpn_cls_prob_reshape')) (self.feed('rpn_cls_prob_reshape','rpn_bbox_pred','im_info') .proposal_layer(_feat_stride, anchor_scales, 'TRAIN',name = 'rpn_rois')) (self.feed('rpn_rois','gt_boxes', 'gt_ishard', 'dontcare_areas') .proposal_target_layer(n_classes,name = 'roi-data')) #========= RCNN ============ (self.feed('res4f_relu') .conv(1, 1, 2048, 1, 1, biased=False, relu=False, name='res5a_branch1', padding='VALID') .batch_normalization(relu=False, name='bn5a_branch1')) (self.feed('res4f_relu') .conv(1, 1, 512, 1, 1, biased=False, relu=False, name='res5a_branch2a', padding='VALID') .batch_normalization(relu=False, name='bn5a_branch2a') .relu(name='res5a_branch2a_relu') .conv(3, 3, 72, 1, 1, biased=True, rate=2, relu=False, name='res5a_branch2b_offset', padding='SAME', initializer='zeros')) (self.feed('res5a_branch2a_relu', 'res5a_branch2b_offset') .deform_conv(3, 3, 512, 1, 1, biased=False, rate=2, relu=False, num_deform_group=4, name='res5a_branch2b') .batch_normalization(relu=False, name='bn5a_branch2b') .relu(name='res5a_branch2b_relu') .conv(1, 1, 2048, 1, 1, biased=False, relu=False, name='res5a_branch2c', padding='VALID') .batch_normalization(relu=False, name='bn5a_branch2c')) (self.feed('bn5a_branch1', 'bn5a_branch2c') .add(name='res5a') .relu(name='res5a_relu') .conv(1, 1, 512, 1, 1, biased=False, relu=False, name='res5b_branch2a', padding='VALID') .batch_normalization(relu=False, name='bn5b_branch2a') .relu(name='res5b_branch2a_relu') .conv(3, 3, 72, 1, 1, biased=True, rate=2, relu=False, name='res5b_branch2b_offset', padding='SAME', initializer='zeros')) (self.feed('res5b_branch2a_relu', 'res5b_branch2b_offset') .deform_conv(3, 3, 512, 1, 1, biased=False, rate=2, relu=False, num_deform_group=4, name='res5b_branch2b') .batch_normalization(relu=False, name='bn5b_branch2b') .relu(name='res5b_branch2b_relu') .conv(1, 1, 2048, 1, 1, biased=False, relu=False, name='res5b_branch2c', padding='VALID') .batch_normalization(relu=False, name='bn5b_branch2c')) (self.feed('res5a_relu', 'bn5b_branch2c') .add(name='res5b') .relu(name='res5b_relu') .conv(1, 1, 512, 1, 1, biased=False, relu=False, name='res5c_branch2a', padding='VALID') .batch_normalization(relu=False, name='bn5c_branch2a') .relu(name='res5c_branch2a_relu') .conv(3, 3, 72, 1, 1, biased=True, rate=2, relu=False, name='res5c_branch2b_offset', padding='SAME', initializer='zeros') ) (self.feed('res5c_branch2a_relu', 'res5c_branch2b_offset') .deform_conv(3, 3, 512, 1, 1, biased=False, rate=2, relu=False, num_deform_group=4, name='res5c_branch2b') .batch_normalization(relu=False, name='bn5c_branch2b') .relu(name='res5c_branch2b_relu') .conv(1, 1, 2048, 1, 1, biased=False, relu=False, name='res5c_branch2c', padding='VALID') .batch_normalization(relu=False, name='bn5c_branch2c')) (self.feed('res5b_relu', 'bn5c_branch2c') .add(name='res5c') .relu(name='res5c_relu') .conv(1, 1, 256, 1, 1, relu=False, name='conv_new_1') .relu(name='conv_new_1_relu')) (self.feed('conv_new_1_relu', 'roi-data') .deform_psroi_pool(group_size=1, pooled_size=7, sample_per_part=4, no_trans=True, part_size=7, output_dim=256, trans_std=1e-1, spatial_scale=0.0625, name='offset_t') # .flatten_data(name='offset_flatten') .fc(num_out=7 * 7 * 2, name='offset', relu=False) .reshape(shape=(-1,2,7,7), name='offset_reshape')) (self.feed('conv_new_1_relu', 'roi-data', 'offset_reshape') .deform_psroi_pool(group_size=1, pooled_size=7, sample_per_part=4, no_trans=False, part_size=7, output_dim=256, trans_std=1e-1, spatial_scale=0.0625, name='deformable_roi_pool') .fc(num_out=1024, name='fc_new_1') .fc(num_out=1024, name='fc_new_2')) (self.feed('fc_new_2') .fc(num_out=n_classes, name='cls_score', relu=False) .softmax(name='cls_prob')) (self.feed('fc_new_2') .fc(num_out=4*n_classes, name='bbox_pred', relu=False)) # (self.feed('res4f_relu','roi-data') # .roi_pool(7,7,1.0/16,name='res5a_branch2a_roipooling') # .conv(1, 1, 512, 2, 2, biased=False, relu=False, name='res5a_branch2a', padding='VALID') # .batch_normalization(relu=True, name='bn5a_branch2a',is_training=False) # .conv(3, 3, 512, 1, 1, biased=False, relu=False, name='res5a_branch2b') # .batch_normalization(relu=True, name='bn5a_branch2b',is_training=False) # .conv(1, 1, 2048, 1, 1, biased=False, relu=False, name='res5a_branch2c') # .batch_normalization(name='bn5a_branch2c',is_training=False,relu=False)) # (self.feed('res5a_branch2a_roipooling') # .conv(1,1,2048,2,2,biased=False, relu=False, name='res5a_branch1', padding='VALID') # .batch_normalization(name='bn5a_branch1',is_training=False,relu=False)) # (self.feed('bn5a_branch2c','bn5a_branch1') # .add(name='res5a') # .relu(name='res5a_relu') # .conv(1, 1, 512, 1, 1, biased=False, relu=False, name='res5b_branch2a') # .batch_normalization(relu=True, name='bn5b_branch2a',is_training=False) # .conv(3, 3, 512, 1, 1, biased=False, relu=False, name='res5b_branch2b') # .batch_normalization(relu=True, name='bn5b_branch2b',is_training=False) # .conv(1, 1, 2048, 1, 1, biased=False, relu=False, name='res5b_branch2c') # .batch_normalization(name='bn5b_branch2c',is_training=False,relu=False)) # #pdb.set_trace() # (self.feed('res5a_relu', # 'bn5b_branch2c') # .add(name='res5b') # .relu(name='res5b_relu') # .conv(1, 1, 512, 1, 1, biased=False, relu=False, name='res5c_branch2a') # .batch_normalization(relu=True, name='bn5c_branch2a',is_training=False) # .conv(3, 3, 512, 1, 1, biased=False, relu=False, name='res5c_branch2b') # .batch_normalization(relu=True, name='bn5c_branch2b',is_training=False) # .conv(1, 1, 2048, 1, 1, biased=False, relu=False, name='res5c_branch2c') # .batch_normalization(name='bn5c_branch2c',is_training=False,relu=False)) # #pdb.set_trace() # (self.feed('res5b_relu', # 'bn5c_branch2c') # .add(name='res5c') # .relu(name='res5c_relu') # .fc(n_classes, relu=False, name='cls_score') # .softmax(name='cls_prob')) # (self.feed('res5c_relu') # .fc(n_classes*4, relu=False, name='bbox_pred'))

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16b8947aeb5e92484b74a59f50dce7a8d1075f22

23,601

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Python

dev/Tools/build/waf-1.7.13/lmbrwaflib/unit_test_lumberyard_modules.py

akulamartin/lumberyard

2d4be458a02845179be098e40cdc0c48f28f3b5a

[ "AML" ]

8

2019-10-07T16:33:47.000Z

2020-12-07T03:59:58.000Z

dev/Tools/build/waf-1.7.13/lmbrwaflib/unit_test_lumberyard_modules.py

29e7e280-0d1c-4bba-98fe-f7cd3ca7500a/lumberyard

1c52b941dcb7d94341fcf21275fe71ff67173ada

[ "AML" ]

null

dev/Tools/build/waf-1.7.13/lmbrwaflib/unit_test_lumberyard_modules.py

29e7e280-0d1c-4bba-98fe-f7cd3ca7500a/lumberyard

1c52b941dcb7d94341fcf21275fe71ff67173ada

[ "AML" ]

4

2019-08-05T07:25:46.000Z

2020-12-07T05:12:55.000Z

# # All or portions of this file Copyright (c) Amazon.com, Inc. or its affiliates or # its licensors. # # For complete copyright and license terms please see the LICENSE at the root of this # distribution (the "License"). All use of this software is governed by the License, # or, if provided, by the license below or the license accompanying this file. Do not # remove or modify any license notices. This file is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # from waflib import Errors import lumberyard_modules import unittest import pytest import utils class FakeContext(object): pass class FakeIncludeSettings(object): pass class FakePlatformSettings(object): def __init__(self, platform_name, aliases=set()): self.platform = platform_name self.aliases = aliases class FakeConfigurationSettings(object): def __init__(self, settings_name, base_config=None): self.base_config = base_config self.name = settings_name class FakeConfiguration(object): def __init__(self, settings, is_test=False, is_server=False): self.settings = settings self.is_test = is_test self.is_server = is_server @pytest.fixture() def mock_parse_json(mock_json_map): if not mock_json_map: mock_json_map = {'path': {}} def _mock_parse_json(path, _): return mock_json_map[path] old_parse_json_file = utils.parse_json_file utils.parse_json_file = _mock_parse_json yield utils.parse_json_file = old_parse_json_file @pytest.fixture() def fake_context(): return FakeContext() def test_SanitizeKWInput_SimpleKwDictionary_Success(): kw = dict( libpath='mylib' ) lumberyard_modules.sanitize_kw_input(kw) assert isinstance(kw['libpath'], list) assert kw['libpath'][0] == 'mylib' def test_SanitizeKWInput_SimpleKwDictionaryInAdditionalSettings_Success(): kw = dict( libpath='mylib', additional_settings=dict(stlibpath='mystlib') ) lumberyard_modules.sanitize_kw_input(kw) assert isinstance(kw['libpath'], list) assert kw['libpath'][0] == 'mylib' assert isinstance(kw['additional_settings'], list) assert isinstance(kw['additional_settings'][0], dict) assert isinstance(kw['additional_settings'][0]['stlibpath'], list) assert kw['additional_settings'][0]['stlibpath'][0] == 'mystlib' @pytest.mark.parametrize( "target, kw_key, source_section, additional_aliases, merge_dict, expected", [ pytest.param('test_target', 'fake_key', {}, {}, {}, {}, id='MissingKeyInSourceNoChange'), pytest.param('test_target', 'fake_key', {'fake_key': 'fake_value'}, {}, {}, {'fake_key': 'fake_value'}, id='MissingKeyInTargetKeyAdded'), pytest.param('test_target', 'copyright_org', {'copyright_org': False}, {}, {'copyright_org': 'AMZN'}, type(Errors.WafError), id='InvalidStringKwInSourceError'), pytest.param('test_target', 'copyright_org', {'copyright_org': 'AMZN'}, {}, {'copyright_org': False}, type(Errors.WafError), id='InvalidStringKwInTargetError'), pytest.param('test_target', 'copyright_org', {'copyright_org': 'AMZN'}, {}, {'copyright_org': 'A2Z'}, {'copyright_org': 'AMZN'}, id='MergeStringReplaceSuccess'), pytest.param('test_target', 'client_only', {'client_only': 'False'}, {}, {'client_only': True}, type(Errors.WafError), id='InvalidBoolKwInSourceError'), pytest.param('test_target', 'client_only', {'client_only': False}, {}, {'client_only': 'True'}, type(Errors.WafError), id='InvalidBoolKwInTargetError'), pytest.param('test_target', 'client_only', {'client_only': False}, {}, {'client_only': True}, {'client_only': False}, id='MergeBoolReplaceKwSuccess'), ]) def test_ProjectSettingsFileMergeKwKey_ValidInputs(mock_parse_json, target, kw_key, source_section, additional_aliases, merge_dict, expected): fake_context = FakeContext() test_settings = lumberyard_modules.ProjectSettingsFile(fake_context, 'path', additional_aliases) if isinstance(expected,dict): test_settings.merge_kw_key(target=target, kw_key=kw_key, source_section=source_section, merge_kw=merge_dict) assert merge_dict == expected elif isinstance(expected, type(Errors.WafError)): with pytest.raises(Errors.WafError): test_settings.merge_kw_key(target=target, kw_key=kw_key, source_section=source_section, merge_kw=merge_dict) @pytest.mark.parametrize( "test_dict, fake_include_settings, mock_json_map, additional_aliases, expected", [ pytest.param({}, None, None, {}, {}, id='BasicNoAdditionalAliasNoAdditionalIncludes'), pytest.param({}, 'include_test', { 'path': { 'includes': ['include_test'] },'include_test': {} }, {}, {'includes': ['include_test']}, id='BasicNoAdditionalAliasSingleAdditionalIncludes') ]) def test_ProjectSettingsFileMergeKwKey_ValidInputs(mock_parse_json, fake_context, test_dict, fake_include_settings, mock_json_map, additional_aliases, expected): if fake_include_settings: def _mock_get_project_settings_file(include_settings_file, additional_aliases): assert fake_include_settings == include_settings_file fake_settings = FakeIncludeSettings() return fake_settings fake_context.get_project_settings_file = _mock_get_project_settings_file test = lumberyard_modules.ProjectSettingsFile(fake_context, 'path', additional_aliases) assert test.dict == expected @pytest.mark.parametrize( "mock_json_map, additional_aliases, section_key, expected", [ pytest.param(None, {}, 'no_section', {}, id='SimpleNoChange'), pytest.param({ 'path': { "test_section": { "key1": "value1" } } }, {}, 'test_section', {'key1': 'value1'}, id='SimpleChanges') ]) def test_ProjectSettingsFileMergeKwSection_ValidInputs_Success(mock_parse_json, fake_context, mock_json_map, additional_aliases, section_key, expected): test_settings = lumberyard_modules.ProjectSettingsFile(fake_context, 'path', additional_aliases) merge_dict = {} test_settings.merge_kw_section(section_key=section_key, target='test_target', merge_kw=merge_dict) assert expected == merge_dict class ProjectSettingsTest(unittest.TestCase): def setUp(self): self.old_parse_json = utils.parse_json_file utils.parse_json_file = self.mockParseJson self.mock_json_map = {} def tearDown(self): utils.parse_json_file = self.old_parse_json def mockParseJson(self, path, _): return self.mock_json_map[path] def createSimpleSettings(self, fake_context = FakeContext(), test_dict={}, additional_aliases={}): self.mock_json_map = {'path': test_dict} test_settings = lumberyard_modules.ProjectSettingsFile(fake_context, 'path', additional_aliases) return test_settings def test_ProjectSettingsFileMergeKwDict_RecursiveMergeAdditionalSettingsNoPlatformNoConfiguration_Success(self): """ Test scenario: Setup a project settings that contains other project settings, so that it can recursively call merge_kw_dict recursively """ include_settings_file = 'include_test' test_settings_single_include = {'includes': [include_settings_file]} test_empty_settings = {} test_merge_kw_key = 'passed' test_merge_kw_value = True self.mock_json_map = {'path': test_settings_single_include, include_settings_file: test_empty_settings} # Prepare a mock include settings object test_include_settings = self.createSimpleSettings() def _mock_merge_kw_dict(target, merge_kw, platform, configuration): merge_kw[test_merge_kw_key] = test_merge_kw_value pass test_include_settings.merge_kw_dict = _mock_merge_kw_dict # Prepare a mock context fake_context = FakeContext() def _mock_get_project_settings_file(_a, _b): return test_include_settings fake_context.get_project_settings_file = _mock_get_project_settings_file test_settings = self.createSimpleSettings(fake_context=fake_context, test_dict=test_settings_single_include) test_merge_kw = {} test_settings.merge_kw_dict(target='test_target', merge_kw=test_merge_kw, platform=None, configuration=None) self.assertIn(test_merge_kw_key, test_merge_kw) self.assertEqual(test_merge_kw[test_merge_kw_key], test_merge_kw_value) def test_ProjectSettingsFileMergeKwDict_MergePlatformSection_Success(self): """ Test scenario: Test the merge_kw_dict when only platform is set and not any configurations """ test_platform = 'test_platform' test_alias = 'alias_1' fake_context = FakeContext() fake_platform_settings = FakePlatformSettings(platform_name='test_platform', aliases={test_alias}) def _mock_get_platform_settings(platform): self.assertEqual(platform, test_platform) return fake_platform_settings fake_context.get_platform_settings = _mock_get_platform_settings test_dict = {} test_settings = self.createSimpleSettings(fake_context=fake_context, test_dict=test_dict) sections_merged = set() def _mock_merge_kw_section(section, target, merge_kw): sections_merged.add(section) pass test_settings.merge_kw_section = _mock_merge_kw_section test_merge_kw = {} test_settings.merge_kw_dict(target='test_target', merge_kw=test_merge_kw, platform=test_platform, configuration=None) # Validate all the sections passed to the merge_kw_dict self.assertIn('{}/*'.format(test_platform), sections_merged) self.assertIn('{}/*'.format(test_alias), sections_merged) self.assertEqual(len(sections_merged), 2) def test_ProjectSettingsFileMergeKwDict_MergePlatformConfigurationNoDerivedNoTestNoDedicatedSection_Success(self): """ Test scenario: Test the merge_kw_dict when the platform + configuration is set, and the configuration is not a test nor server configuration """ test_platform_name = 'test_platform' test_configuration_name = 'test_configuration' test_configuration = FakeConfiguration(settings=FakeConfigurationSettings(settings_name=test_configuration_name)) fake_context = FakeContext() fake_platform_settings = FakePlatformSettings(platform_name='test_platform') def _mock_get_platform_settings(platform): self.assertEqual(platform, test_platform_name) return fake_platform_settings fake_context.get_platform_settings = _mock_get_platform_settings test_dict = {} test_settings = self.createSimpleSettings(fake_context=fake_context, test_dict=test_dict) sections_merged = set() def _mock_merge_kw_section(section, target, merge_kw): sections_merged.add(section) pass test_settings.merge_kw_section = _mock_merge_kw_section test_merge_kw = {} test_settings.merge_kw_dict(target='test_target', merge_kw=test_merge_kw, platform=test_platform_name, configuration=test_configuration) # Validate all the sections passed to the merge_kw_dict self.assertIn('{}/*'.format(test_platform_name), sections_merged) self.assertIn('{}/{}'.format(test_platform_name, test_configuration_name), sections_merged) self.assertEqual(len(sections_merged), 2) def test_ProjectSettingsFileMergeKwDict_MergePlatformConfigurationDerivedNoTestNoDedicatedSection_Success(self): """ Test scenario: Test the merge_kw_dict when the platform + configuration is set, and the configuration is not a test nor server configuration, but is derived from another configuration """ test_platform_name = 'test_platform' test_configuration_name = 'test_configuration' base_test_configuration_name = 'base_configuration' test_configuration = FakeConfiguration( settings=FakeConfigurationSettings(settings_name=test_configuration_name, base_config=FakeConfiguration(FakeConfigurationSettings(settings_name=base_test_configuration_name)))) fake_context = FakeContext() fake_platform_settings = FakePlatformSettings(platform_name='test_platform') def _mock_get_platform_settings(platform): self.assertEqual(platform, test_platform_name) return fake_platform_settings fake_context.get_platform_settings = _mock_get_platform_settings test_dict = {} test_settings = self.createSimpleSettings(fake_context=fake_context, test_dict=test_dict) sections_merged = set() def _mock_merge_kw_section(section, target, merge_kw): sections_merged.add(section) pass test_settings.merge_kw_section = _mock_merge_kw_section test_merge_kw = {} test_settings.merge_kw_dict(target='test_target', merge_kw=test_merge_kw, platform=test_platform_name, configuration=test_configuration) # Validate all the sections passed to the merge_kw_dict self.assertIn('{}/*'.format(test_platform_name), sections_merged) self.assertIn('{}/{}'.format(test_platform_name, test_configuration_name), sections_merged) self.assertIn('{}/{}'.format(test_platform_name, base_test_configuration_name), sections_merged) self.assertEqual(len(sections_merged), 3) def test_ProjectSettingsFileMergeKwDict_MergePlatformConfigurationNoDerivedTestDedicatedSection_Success(self): """ Test scenario: Test the merge_kw_dict when the platform + configuration is set, and the configuration is a test and a server configuration """ test_platform_name = 'test_platform' test_configuration_name = 'test_configuration' test_configuration = FakeConfiguration(settings=FakeConfigurationSettings(settings_name=test_configuration_name), is_test=True, is_server=True) fake_context = FakeContext() fake_platform_settings = FakePlatformSettings(platform_name='test_platform') def _mock_get_platform_settings(platform): self.assertEqual(platform, test_platform_name) return fake_platform_settings fake_context.get_platform_settings = _mock_get_platform_settings test_dict = {} test_settings = self.createSimpleSettings(fake_context=fake_context, test_dict=test_dict) sections_merged = set() def _mock_merge_kw_section(section, target, merge_kw): sections_merged.add(section) pass test_settings.merge_kw_section = _mock_merge_kw_section test_merge_kw = {} test_settings.merge_kw_dict(target='test_target', merge_kw=test_merge_kw, platform=test_platform_name, configuration=test_configuration) # Validate all the sections passed to the merge_kw_dict self.assertIn('{}/{}'.format(test_platform_name, test_configuration_name), sections_merged) self.assertIn('*/*/dedicated,test', sections_merged) self.assertIn('{}/*/dedicated,test'.format(test_platform_name), sections_merged) self.assertIn('{}/{}/dedicated,test'.format(test_platform_name, test_configuration_name), sections_merged) self.assertIn('*/*/test,dedicated', sections_merged) self.assertIn('{}/*/test,dedicated'.format(test_platform_name), sections_merged) self.assertIn('{}/{}/test,dedicated'.format(test_platform_name, test_configuration_name), sections_merged) self.assertEqual(len(sections_merged), 8) def test_ProjectSettingsFileMergeKwDict_MergePlatformConfigurationNoDerivedTestNoDedicatedSection_Success(self): """ Test scenario: Test the merge_kw_dict when the platform + configuration is set, and the configuration is a test but not a server configuration """ test_platform_name = 'test_platform' test_configuration_name = 'test_configuration' test_configuration = FakeConfiguration( settings=FakeConfigurationSettings(settings_name=test_configuration_name), is_test=True, is_server=False) fake_context = FakeContext() fake_platform_settings = FakePlatformSettings(platform_name='test_platform') def _mock_get_platform_settings(platform): self.assertEqual(platform, test_platform_name) return fake_platform_settings fake_context.get_platform_settings = _mock_get_platform_settings test_dict = {} test_settings = self.createSimpleSettings(fake_context=fake_context, test_dict=test_dict) sections_merged = set() def _mock_merge_kw_section(section, target, merge_kw): sections_merged.add(section) pass test_settings.merge_kw_section = _mock_merge_kw_section test_merge_kw = {} test_settings.merge_kw_dict(target='test_target', merge_kw=test_merge_kw, platform=test_platform_name, configuration=test_configuration) # Validate all the sections passed to the merge_kw_dict self.assertIn('{}/*'.format(test_platform_name), sections_merged) self.assertIn('{}/{}'.format(test_platform_name, test_configuration_name), sections_merged) self.assertIn('*/*/test', sections_merged) self.assertIn('{}/*/test'.format(test_platform_name), sections_merged) self.assertIn('{}/{}/test'.format(test_platform_name, test_configuration_name), sections_merged) self.assertIn('*/*/dedicated,test', sections_merged) self.assertIn('{}/*/dedicated,test'.format(test_platform_name), sections_merged) self.assertIn('{}/{}/dedicated,test'.format(test_platform_name, test_configuration_name), sections_merged) self.assertIn('*/*/test,dedicated', sections_merged) self.assertIn('{}/*/test,dedicated'.format(test_platform_name), sections_merged) self.assertIn('{}/{}/test,dedicated'.format(test_platform_name, test_configuration_name), sections_merged) self.assertEqual(len(sections_merged), 11) def test_ProjectSettingsFileMergeKwDict_MergePlatformConfigurationNoDerivedNoTestDedicatedSection_Success(self): """ Test scenario: Test the merge_kw_dict when the platform + configuration is set, and the configuration is a server but not a test configuration """ test_platform_name = 'test_platform' test_configuration_name = 'test_configuration' test_configuration = FakeConfiguration( settings=FakeConfigurationSettings(settings_name=test_configuration_name), is_test=False, is_server=True) fake_context = FakeContext() fake_platform_settings = FakePlatformSettings(platform_name='test_platform') def _mock_get_platform_settings(platform): self.assertEqual(platform, test_platform_name) return fake_platform_settings fake_context.get_platform_settings = _mock_get_platform_settings test_dict = {} test_settings = self.createSimpleSettings(fake_context=fake_context, test_dict=test_dict) sections_merged = set() def _mock_merge_kw_section(section, target, merge_kw): sections_merged.add(section) pass test_settings.merge_kw_section = _mock_merge_kw_section test_merge_kw = {} test_settings.merge_kw_dict(target='test_target', merge_kw=test_merge_kw, platform=test_platform_name, configuration=test_configuration) # Validate all the sections passed to the merge_kw_dict self.assertIn('{}/*'.format(test_platform_name), sections_merged) self.assertIn('{}/{}'.format(test_platform_name, test_configuration_name), sections_merged) self.assertIn('*/*/dedicated', sections_merged) self.assertIn('{}/*/dedicated'.format(test_platform_name), sections_merged) self.assertIn('{}/{}/dedicated'.format(test_platform_name, test_configuration_name), sections_merged) self.assertIn('*/*/dedicated,test', sections_merged) self.assertIn('{}/*/dedicated,test'.format(test_platform_name), sections_merged) self.assertIn('{}/{}/dedicated,test'.format(test_platform_name, test_configuration_name), sections_merged) self.assertIn('*/*/test,dedicated', sections_merged) self.assertIn('{}/*/test,dedicated'.format(test_platform_name), sections_merged) self.assertIn('{}/{}/test,dedicated'.format(test_platform_name, test_configuration_name), sections_merged) self.assertEqual(len(sections_merged), 11)

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0.046328

0.055085

0.724929

0.697387

0.673234

0.662076

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0.17192

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null

0

1

0

null

0

1

16cdaac129cd705700eab605365385f7b7b8a82c

2,236

py

Python

pottan_ocr/utils.py

nithyadurai87/pottan-ocr-tamil

e455891dc0ddd508d1318abf84fc59cc548873f7

[ "MIT" ]

5

2019-05-05T18:26:14.000Z

2019-08-02T05:04:12.000Z

pottan_ocr/utils.py

nithyadurai87/pottan-ocr-tamil

e455891dc0ddd508d1318abf84fc59cc548873f7

[ "MIT" ]

3

2020-07-17T02:28:11.000Z

2021-05-08T21:58:10.000Z

pottan_ocr/utils.py

nithyadurai87/pottan-ocr-tamil

e455891dc0ddd508d1318abf84fc59cc548873f7

[ "MIT" ]

3

2020-04-11T19:39:08.000Z

2020-12-21T08:44:21.000Z

import torch import json import numpy as np from torch.autograd import Variable import gzip import yaml from re import split from matplotlib import pyplot def showImg( im ): pyplot.imshow( im ) pyplot.show() def myOpen( fname, mode ): return open( fname, mode, encoding="utf-8" ) def readFile( fname ): opener, mode = ( gzip.open, 'rt' ) if fname[-3:] == '.gz' else ( open, 'r' ) with opener( fname, mode ) as f: return f.read() def readLines( fname ): return split('[\r\n]', readFile( fname ) ) def readJson( fname ): with myOpen( fname, 'r' ) as f: return json.load( f ) def writeFile( fname, contents ): with myOpen( fname, 'w' ) as f: f.write( contents ) def writeJson( fname, data ): with myOpen( fname, 'w') as outfile: json.dump(data, outfile) def readYaml( fname ): with myOpen(fname, 'r') as fp: return yaml.load( fp ) config = readYaml('./config.yaml') class averager(object): """Compute average for `torch.Variable` and `torch.Tensor`. """ def __init__(self): self.reset() def add(self, v): if isinstance(v, Variable): count = v.data.numel() v = v.data.sum() elif isinstance(v, torch.Tensor): count = v.numel() v = v.sum() self.n_count += count self.sum += v def reset(self): self.n_count = 0 self.sum = 0 def val(self): res = 0 if self.n_count != 0: res = self.sum / float(self.n_count) return res def loadTrainedModel( model, opt ): """Load a pretrained model into given model""" print('loading pretrained model from %s' % opt.crnn) if( opt.cuda ): stateDict = torch.load(opt.crnn ) else: stateDict = torch.load(opt.crnn, map_location={'cuda:0': 'cpu'} ) # Handle the case of some old torch version. It will save the data as module.<xyz> . Handle it if( list( stateDict.keys() )[0][:7] == 'module.' ): for key in list(stateDict.keys()): stateDict[ key[ 7:] ] = stateDict[key] del stateDict[ key ] model.load_state_dict( stateDict ) print('Completed loading pre trained model')

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null

0

1

0

1

16cf7d6d5783bc8dc6f881f5646090c8b7e4317c

7,584

py

Python

population_estimator/curses_io.py

cruzanta/population-estimator

cb56c551b615726543d8b1643302be2d30fd593c

[ "MIT" ]

1

2019-02-10T01:30:09.000Z

population_estimator/curses_io.py

cruzantada/population-estimator

cb56c551b615726543d8b1643302be2d30fd593c

[ "MIT" ]

null

population_estimator/curses_io.py

cruzantada/population-estimator

cb56c551b615726543d8b1643302be2d30fd593c

[ "MIT" ]

null

#!/usr/bin/env python """ Module for painting output on and obtaining input from a text-based terminal window using the curses library. """ import curses import textwrap def display_string(screen, a_string, output_line): # Paints a string on a text-based terminal window. _, width = screen.getmaxyx() try: screen.addstr(output_line, 0, textwrap.fill(a_string, width - 1)) except curses.error: screen.addstr(0, 0, textwrap.fill( 'Terminal window too small for output! Please resize. ', width - 1)) return output_line def display_list_items(screen, a_list, output_line): # Paints each item of a list on a text-based terminal window. for item in a_list: output_line = display_string(screen, '%s' % (item), output_line) output_line += 1 return output_line def display_formatted_dict(screen, dct, output_line): # Paints each key, value pair of a dict on a text-based terminal window. for key, value in dct.items(): if isinstance(value, int): value = '{:,}'.format(value) formatted_dict = '%s: %s' % (key, value) output_line = display_string(screen, formatted_dict, output_line) output_line += 1 return output_line def display_string_with_prompt(screen, first_line_num, a_string, prompt): """Paints two strings and accepts input. Paints two strings on a text-based terminal window. The latter of the two strings serves as the prompt for the user to enter input. Args: screen: A window object that represents the text-based terminal window. first_line_num: An integer that represents the location along the y-axis of the terminal window where the first character of the first string is painted. a_string: The first string that is painted on the terminal window. prompt: A string that serves as a prompt for the user to enter input. Returns: A string that the user enters in as input. """ screen.clear() output_line = first_line_num output_line = display_string(screen, a_string, output_line) output_line += 3 output_line = display_string(screen, prompt, output_line) screen.refresh() return screen.getstr(output_line, len(prompt) + 1) def display_list_items_with_prompt(screen, first_line_num, a_string, a_list, prompt): """Paints a string, each item of a list, and accepts input. Paints a string, each item of a list, and another string on a text-based terminal window. Each item of the list is painted on its own line. The second string serves as a prompt for the user to enter input. Args: screen: A window object that represents the text-based terminal window. first_line_num: An integer that represents the location along the y-axis of the terminal window where the first character of the first string is painted. a_string: The first string that is painted on the terminal window. a_list: A list whose items are painted on each line of the terminal window. prompt: A string that serves as a prompt for the user to enter input. Returns: A string that the user enters in as input. """ screen.clear() output_line = first_line_num output_line = display_string(screen, a_string, output_line) output_line += 2 output_line = display_list_items(screen, a_list, output_line) output_line += 1 output_line = display_string(screen, prompt, output_line) screen.refresh() return screen.getstr(output_line, len(prompt) + 1) def display_formatted_dicts_with_prompt(screen, first_line_num, a_string, list_of_dicts, prompt): """Paints a string, each item of each dict in a list, and accepts input. Paints a string, each item of each dict in a list, and another string on a text-based terminal window. Each key, value pair of each dict is painted on its own line with the key and value separated by a colon. The second string serves as a prompt for the user to enter input. Args: screen: A window object that represents the text-based terminal window. first_line_num: An integer that represents the location along the y-axis of the terminal window where the first character of the first string is painted. a_string: The first string that is painted on the terminal window. list_of_dicts: A list of dictionaries whose key, value pairs are painted on their own line of the terminal window. prompt: A string that serves as a prompt for the user to enter input. Returns: A string that the user enters in as input. """ screen.clear() output_line = first_line_num output_line = display_string(screen, a_string, output_line) output_line += 2 for dct in list_of_dicts: output_line = display_formatted_dict(screen, dct, output_line) output_line += 1 output_line += 1 output_line = display_string(screen, prompt, output_line) screen.refresh() return screen.getstr(output_line, len(prompt) + 1) def get_user_menu_selection(screen, first_line_num, a_string, menu_items, prompt): """Paints a string, a menu, and accepts input. Paints a string, a menu, and another string on a text-based terminal window. The menu is composed of the items in a list, and each item is assigned its own number that represents the order in which the item appears in the menu. The second string serves as a prompt for the user to enter a number from the menu. Args: screen: A window object that represents the text-based terminal window. first_line_num: An integer that represents the location along the y-axis of the terminal window where the first character of the first string is painted. a_string: The first string that is painted on the terminal window. menu_items: A list whose items are painted on each line of the terminal window as menu options. prompt: A string that serves as a prompt for the user to enter a number from the menu. Returns: A string representation of the item in 'menu_items' that the user selects. """ # Create a dictionary that contains the items in 'menu_items'. Each item # is added as a value with an integer key that represents the order in which # the item will appear in the menu. item_key = 1 selection_items = {} for item in menu_items: selection_items['%s' % (item_key)] = item item_key += 1 # Display the menu and prompt the user for a selection. while True: screen.clear() output_line = first_line_num output_line = display_string(screen, a_string, output_line) output_line += 3 for menu_num in sorted(selection_items.iterkeys()): item_line = '%s) %s' % (menu_num, selection_items[menu_num]) output_line = display_string(screen, item_line, output_line) output_line += 1 output_line += 1 output_line = display_string(screen, prompt, output_line) screen.refresh() input = screen.getstr(output_line, len(prompt) + 1) if input not in selection_items.keys(): continue # Force the user to enter a valid selection. else: return selection_items[input]

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0.104586

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0

null

0

1

0

null

0

1

16d1b5218231a945c48c3095503b717e135149a2

7,987

py

Python

tests/test_transliterate.py

abosoar/camel_tools

0a92c06f6dde0063e26df5cbe4d74c2f99b418e0

[ "MIT" ]

1

2021-03-23T12:50:47.000Z

tests/test_transliterate.py

KaoutharMokrane/camel_tools

e9099907835b05d448362bce2cb0e815ac7f5590

[ "MIT" ]

null

tests/test_transliterate.py

KaoutharMokrane/camel_tools

e9099907835b05d448362bce2cb0e815ac7f5590

[ "MIT" ]

1

2021-01-24T05:06:33.000Z

# -*- coding: utf-8 -*- # MIT License # # Copyright 2018-2020 New York University Abu Dhabi # # 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. """ Tests for camel_tools.transliterate. """ from __future__ import absolute_import import pytest from camel_tools.utils.charmap import CharMapper from camel_tools.utils.transliterate import Transliterator # A mapper that translates lower-case English characters to a lower-case x and # upper-case English characters to an upper-case X. This makes it easy to # predict what the transliteration should be. TEST_MAP = { u'A-Z': u'X', u'a-z': u'x', } TEST_MAPPER = CharMapper(TEST_MAP, None) class TestTransliteratorInit(object): """Test class for Transliterator.__init__. """ def test_init_none_mapper(self): """Test that init raises a TypeError when given a mapper that is None. """ with pytest.raises(TypeError): Transliterator(None) def test_init_invalid_type_mapper(self): """Test that init raises a TypeError when given a mapper that is not a CharMapper instance. """ with pytest.raises(TypeError): Transliterator({}) def test_init_valid_mapper(self): """Test that init doesn't raise an error when given a valid mapper. """ assert Transliterator(TEST_MAPPER) def test_init_none_marker(self): """Test that init raises a TypeError when given a marker that is None. """ with pytest.raises(TypeError): Transliterator(TEST_MAPPER, None) def test_init_invalid_type_marker(self): """Test that init raises a TypeError when given a marker that is not a string. """ with pytest.raises(TypeError): Transliterator(TEST_MAPPER, []) def test_init_empty_marker(self): """Test that init raises a ValueError when given a marker that is an empty string. """ with pytest.raises(ValueError): Transliterator(TEST_MAPPER, '') def test_init_invalid_marker1(self): """Test that init raises a ValueError when given an invalid marker ( wgitespace in the middle). """ with pytest.raises(ValueError): Transliterator(TEST_MAPPER, '@@LAT @@') def test_init_invalid_marker2(self): """Test that init raises a ValueError when given an invalid marker ( whitespace at the end). """ with pytest.raises(ValueError): Transliterator(TEST_MAPPER, '@@LAT@@ ') def test_init_invalid_marker3(self): """Test that init raises a ValueError when given an invalid marker ( whitespace at the beginning). """ with pytest.raises(ValueError): Transliterator(TEST_MAPPER, ' @@LAT@@') def test_init_valid_marker1(self): """Test that init doesn't raise an error when given a valid marker. """ assert Transliterator(TEST_MAPPER, '@@LAT@@') def test_init_valid_marker2(self): """Test that init doesn't raise an error when given a valid marker. """ assert Transliterator(TEST_MAPPER, u'@@LAT@@') class TestTransliteratorTranslate(object): """Test class for Transliterator.translate. """ def test_trans_empty(self): """Test that transliterating an empty string returns an empty string. """ trans = Transliterator(TEST_MAPPER, '@@') assert trans.transliterate(u'') == u'' def test_trans_single_no_markers(self): """Test that a single word with no markers gets transliterated. """ trans = Transliterator(TEST_MAPPER, '@@') assert trans.transliterate(u'Hello') == u'Xxxxx' def test_trans_single_with_markers(self): """Test that a single word with markers does not get transliterated. """ trans = Transliterator(TEST_MAPPER, '@@') assert trans.transliterate(u'@@Hello') == u'@@Hello' def test_trans_single_strip(self): """Test that a single word with markers does not get transliterated but markers do get stripped when strip_markers is set to True. """ trans = Transliterator(TEST_MAPPER, '@@') assert trans.transliterate(u'@@Hello', True) == u'Hello' def test_trans_single_ignore(self): """Test that a single word with markers gets transliterated when ignore markers is set to True. """ trans = Transliterator(TEST_MAPPER, '@@') assert trans.transliterate(u'@@Hello', False, True) == u'@@Xxxxx' def test_trans_single_ignore_strip(self): """Test that a single word with markers gets transliterated with markers stripped when both strip_markers and ignore_markers are set to True. """ trans = Transliterator(TEST_MAPPER, '@@') assert trans.transliterate(u'@@Hello', True, True) == u'Xxxxx' def test_trans_sent_no_markers(self): """Test that a sentence with no markers gets transliterated. """ sent_orig = u'Hello World, this is a sentence!' sent_out = u'Xxxxx Xxxxx, xxxx xx x xxxxxxxx!' trans = Transliterator(TEST_MAPPER, '@@') assert trans.transliterate(sent_orig) == sent_out def test_trans_sent_with_markers(self): """Test that tokens with markers in a sentence do not get transliterated. """ sent_orig = u'Hello @@World, this is a @@sentence!' sent_out = u'Xxxxx @@World, xxxx xx x @@sentence!' trans = Transliterator(TEST_MAPPER, '@@') assert trans.transliterate(sent_orig) == sent_out def test_trans_sent_strip(self): """Test that tokens with markers in a sentence do not get transliterated but markers do get stripped when strip_markers is set to True. """ sent_orig = u'Hello @@World, this is a @@sentence!' sent_out = u'Xxxxx World, xxxx xx x sentence!' trans = Transliterator(TEST_MAPPER, '@@') assert trans.transliterate(sent_orig, True) == sent_out def test_trans_sent_ignore(self): """Test that tokens with markers in a sentence get transliterated when ignore markers is set to True. """ sent_orig = u'Hello @@World, this is a @@sentence!' sent_out = u'Xxxxx @@Xxxxx, xxxx xx x @@xxxxxxxx!' trans = Transliterator(TEST_MAPPER, '@@') assert trans.transliterate(sent_orig, False, True) == sent_out def test_trans_sent_ignore_strip(self): """Test that tokens with markers in a sentence get transliterated with markers stripped when both strip_markers and ignore_markers are set to True. """ sent_orig = u'Hello @@World, this is a @@sentence!' sent_out = u'Xxxxx Xxxxx, xxxx xx x xxxxxxxx!' trans = Transliterator(TEST_MAPPER, '@@') assert trans.transliterate(sent_orig, True, True) == sent_out

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79

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7,987

4.97971

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0.02988

0.051222

0.034148

0.689756

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0.598564

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0.520567

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0

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7,987

236

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0

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false

0

0.047619

0

0.333333

0

null

0

null

0

1

0

1

16d397fdfd404f351b1fb42cfa6cff5538a49320

790

py

Python

00-Aulas/Aula007_2.py

AmandaRH07/Python_Entra21

4084962508f1597c0498d8b329e0f45e2ac55302

[ "MIT" ]

null

00-Aulas/Aula007_2.py

AmandaRH07/Python_Entra21

4084962508f1597c0498d8b329e0f45e2ac55302

[ "MIT" ]

null

00-Aulas/Aula007_2.py

AmandaRH07/Python_Entra21

4084962508f1597c0498d8b329e0f45e2ac55302

[ "MIT" ]

null

# Funções cabecalho = "SISTEMA DE CADASTRO DE FUNCIONARIO\n\n\n" rodape = "\n\n\n Obrigada pela preferencia" def imprimir_tela(conteudo): print(cabecalho) #print(opcao_menu) print(conteudo) print(rodape) def ler_opcoes(): opcao = int(input("Insira a opção: ")) return opcao def carregar_opcoes(opcao): if opcao == 1: imprimir_tela("A opção escolhida foi 'Cadastrar funcionário'") elif opcao == 2: imprimir_tela("A opção escolhida foi 'Listar funcionários'") elif opcao == 3: imprimir_tela("A opção escolhida foi 'Editar funcionário'") elif opcao == 4: imprimir_tela("A opção escolhida foi 'Deletar funcionário'") elif opcao == 5: imprimir_tela("A opção escolhida foi 'Sair'") else: pass

27.241379

70

0.655696

101

790

5.039604

0.445545

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0.176817

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790

29

71

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false

0.045455

0

0.181818

0.136364

0

null

0

1

0

null

0

1

16d79dca474781cfacdcca9ed1544b5e9e33234c

2,612

py

Python

src/richie/apps/courses/lms/edx.py

kernicPanel/richie

803deda3e29383ce85593e1836a3cf4efc6b847e

[ "MIT" ]

null

src/richie/apps/courses/lms/edx.py

kernicPanel/richie

803deda3e29383ce85593e1836a3cf4efc6b847e

[ "MIT" ]

null

src/richie/apps/courses/lms/edx.py

kernicPanel/richie

803deda3e29383ce85593e1836a3cf4efc6b847e

[ "MIT" ]

null

""" Backend to connect Open edX richie with an LMS """ import logging import re import requests from requests.auth import AuthBase from ..serializers import SyncCourseRunSerializer from .base import BaseLMSBackend logger = logging.getLogger(__name__) def split_course_key(key): """Split an OpenEdX course key by organization, course and course run codes. We first try splitting the key as a version 1 key (course-v1:org+course+run) and fallback the old version (org/course/run). """ if key.startswith("course-v1:"): organization, course, run = key[10:].split("+") else: organization, course, run = key.split("/") return organization, course, run class EdXTokenAuth(AuthBase): """Attach HTTP token authentication to the given Request object.""" def __init__(self, token): """Set-up token value in the instance.""" self.token = token def __call__(self, request): """Modify and return the request.""" request.headers.update( {"X-Edx-Api-Key": self.token, "Content-Type": "application/json"} ) return request class TokenAPIClient(requests.Session): """ A :class:`requests.Session` that automatically authenticates against edX's preferred authentication method up to Dogwood, given a secret token. For more usage details, see documentation of the :class:`requests.Session` object: https://requests.readthedocs.io/en/master/user/advanced/#session-objects """ def __init__(self, token, *args, **kwargs): """Extending the session object by setting the authentication token.""" super().__init__(*args, **kwargs) self.auth = EdXTokenAuth(token) class EdXLMSBackend(BaseLMSBackend): """LMS backend for Richie tested with Open EdX Dogwood to Hawthorn.""" @property def api_client(self): """Instantiate and return an edx token API client.""" return TokenAPIClient(self.configuration["API_TOKEN"]) def extract_course_id(self, url): """Extract the LMS course id from the course run url.""" return re.match(self.configuration["COURSE_REGEX"], url).group("course_id") def extract_course_number(self, data): """Extract the LMS course number from data dictionary.""" course_id = self.extract_course_id(data.get("resource_link")) return split_course_key(course_id)[1] @staticmethod def get_course_run_serializer(data, partial=False): """Prepare data and return a bound serializer.""" return SyncCourseRunSerializer(data=data, partial=partial)

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0

1

16e4dfbf8bd61eccd8ee52165a28c0666d169326

840

py

Python

test_mnist.py

aidiary/chainer-siamese

6abce9192298e14682a7c766e2a5cdd10f519193

[ "MIT" ]

null

test_mnist.py

aidiary/chainer-siamese

6abce9192298e14682a7c766e2a5cdd10f519193

[ "MIT" ]

null

test_mnist.py

aidiary/chainer-siamese

6abce9192298e14682a7c766e2a5cdd10f519193

[ "MIT" ]

null

import os import chainer import chainer.links as L from net import SiameseNetwork import numpy as np import matplotlib.pyplot as plt # 訓練済みモデルをロード model = SiameseNetwork() chainer.serializers.load_npz(os.path.join('result', 'model.npz'), model) # テストデータをロード _, test = chainer.datasets.get_mnist(ndim=3) test_data, test_label = test._datasets # テストデータを学習した低次元空間（2次元）に写像 y = model.forward_once(test_data) feat = y.data # ラベルごとに描画 c = ['#ff0000', '#ffff00', '#00ff00', '#00ffff', '#0000ff', '#ff00ff', '#990000', '#999900', '#009900', '#009999'] # 各ラベルごとに異なる色でプロット # 同じクラス内のインスタンスが近くに集まり、 # 異なるクラスのインスタンスが離れていれば成功 for i in range(10): f = feat[np.where(test_label == i)] plt.plot(f[:, 0], f[:, 1], '.', c=c[i]) plt.legend(['0', '1', '2', '3', '4', '5', '6', '7', '8', '9']) plt.savefig(os.path.join('result', 'result.png'))

24.705882

72

0.667857

118

840

4.677966

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0.047101

0.036232

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0.07978

0.134524

840

33

73

25.454545

0.679505

0.140476

0

0.156863

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1

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false

0

0.315789

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0.315789

0

null

0

null

0

1

0

1

16e5abfcca6728651310e1b9d7d20815d0685476

5,535

py

Python

TwoFeetTempoMove.py

b0nz0/TwisterTempo

fc975af4095509d8ec4fe2f84313fe152577bed2

[ "MIT" ]

null

TwoFeetTempoMove.py

b0nz0/TwisterTempo

fc975af4095509d8ec4fe2f84313fe152577bed2

[ "MIT" ]

null

TwoFeetTempoMove.py

b0nz0/TwisterTempo

fc975af4095509d8ec4fe2f84313fe152577bed2

[ "MIT" ]

null

from random import randrange, random from time import time import logging from TwisterTempoGUI import TwisterTempoGUI class TwoFeetTempoMove(object): COLORS_ALPHA = {0: 'RED', 1: 'BLUE', 2: 'YELLOW', 3: 'GREEN'} COLORS_RGB = {0: (255, 0, 0), 1: (0, 0, 255), 2: (255, 255, 0), 3: (0, 255, 0)} FOOT_CHANGE_PERC = 0.3 FOOT_ON_AIR_PERC = 0.08 FEET_ON_SAME_CIRCLE_PERC = 0.05 def __init__(self, min_delay=0, max_delay=100): assert min_delay >= 0 assert max_delay > 0 self.min_delay = min_delay self.max_delay = max_delay self._last_beat_millis = 0 self._left_color = randrange(0, len(TwoFeetTempoMove.COLORS_ALPHA)) self._right_color = randrange(0, len(TwoFeetTempoMove.COLORS_ALPHA)) self._left_direction = "FW" self._right_direction = "FW" self._next_foot = 'RIGHT' logging.info("Starting with LEFT: %s, RIGHT: %s" % (TwoFeetTempoMove.COLORS_ALPHA[self._left_color], TwoFeetTempoMove.COLORS_ALPHA[self._right_color])) self.tt_gui = TwisterTempoGUI() self.tt_gui.set_left_color(TwoFeetTempoMove.COLORS_ALPHA[self._left_color]) self.tt_gui.set_right_color(TwoFeetTempoMove.COLORS_ALPHA[self._right_color]) self._starting_millis = time() * 1000 def get_colors_alpha(self): return {'RIGHT': TwoFeetTempoMove.COLORS_ALPHA[self._right_color], 'LEFT': TwoFeetTempoMove.COLORS_ALPHA[self._left_color]} def get_colors_rgb(self): return {'RIGHT': TwoFeetTempoMove.COLORS_RGB[self._right_color], 'LEFT': TwoFeetTempoMove.COLORS_RGB[self._left_color]} def increase_speed(self): self.min_delay = self.min_delay - 10 def decrease_speed(self): self.min_delay = self.min_delay + 10 def tempo_found_callback(self, seconds, millis, confidence): act_delay = millis - self._last_beat_millis + randrange(0, self.max_delay) if act_delay >= self.min_delay: self._last_beat_millis = millis self.beat_found() def beat_found(self): millis = self._last_beat_millis logging.debug("Randomized beat found at: %d:%d.%d" % (millis / 60000, millis / 1000, millis % 1000)) act_millis = time() * 1000 - self._starting_millis logging.debug("\tActual: %d:%d.%d" % (act_millis / 60000, act_millis / 1000, act_millis % 1000)) # special moves if random() < TwoFeetTempoMove.FOOT_ON_AIR_PERC: # randomized next foot on air move if self._next_foot == 'RIGHT': self.tt_gui.set_right_color(TwoFeetTempoMove.COLORS_ALPHA[self._right_color], on_air=True) else: self.tt_gui.set_left_color(TwoFeetTempoMove.COLORS_ALPHA[self._left_color], on_air=True) logging.debug("\tmove next foot On Air") elif random() < TwoFeetTempoMove.FEET_ON_SAME_CIRCLE_PERC: # randomized both feet on same circle if self._next_foot == 'RIGHT': self._right_color = self._left_color self.tt_gui.set_large_color(TwoFeetTempoMove.COLORS_ALPHA[self._right_color]) else: self._left_color = self._right_color self.tt_gui.set_large_color(TwoFeetTempoMove.COLORS_ALPHA[self._left_color]) logging.debug("\tmove both feet on same circle") # end special moves else: if random() < TwoFeetTempoMove.FOOT_CHANGE_PERC: # randomize at 30% the switch on foot if self._next_foot == 'RIGHT': self._next_foot = 'LEFT' else: self._next_foot = 'RIGHT' if self._next_foot == 'RIGHT': if self._right_direction == "FW": if self._right_color == len(TwoFeetTempoMove.COLORS_ALPHA) - 1: self._right_color = self._right_color - 1 self._right_direction = "BW" else: self._right_color = self._right_color + 1 else: if self._right_color == 0: self._right_color = self._right_color + 1 self._right_direction = "FW" else: self._right_color = self._right_color - 1 self.tt_gui.set_right_color(TwoFeetTempoMove.COLORS_ALPHA[self._right_color]) logging.debug("\tmove RIGHT foot to " + TwoFeetTempoMove.COLORS_ALPHA[self._right_color]) self._next_foot = 'LEFT' else: if self._left_direction == "FW": if self._left_color == len(TwoFeetTempoMove.COLORS_ALPHA) - 1: self._left_color = self._left_color - 1 self._left_direction = "BW" else: self._left_color = self._left_color + 1 else: if self._left_color == 0: self._left_color = self._left_color + 1 self._left_direction = "FW" else: self._left_color = self._left_color - 1 self.tt_gui.set_left_color(TwoFeetTempoMove.COLORS_ALPHA[self._left_color]) logging.debug("\tmove LEFT foot to " + TwoFeetTempoMove.COLORS_ALPHA[self._left_color]) self._next_foot = 'RIGHT'

45.368852

106

0.592954

652

5,535

4.673313

0.142638

0.065638

0.089596

0.162783

0.605514

0.507384

0.409583

0.350837

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0

0.026302

0.313098

5,535

121

107

45.743802

0.775118

0.024571

0

0.352941

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0.019608

1

0.068627

false

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0.039216

0.019608

0.186275

0

null

0

1

0

null

0

1

16ef740b41f41832481d4956834bb037ddc3b7b6

2,614

py

Python

tests/test_nested_structures_inside_structure_values.py

Robinson04/StructNoSQL

335c63593025582336bb67ad0b0ed39d30800b74

[ "MIT" ]

3

2020-10-30T23:31:26.000Z

2022-03-30T21:48:40.000Z

tests/test_nested_structures_inside_structure_values.py

Robinson04/StructNoSQL

335c63593025582336bb67ad0b0ed39d30800b74

[ "MIT" ]

42

2020-09-16T15:23:11.000Z

2021-09-20T13:00:50.000Z

tests/test_nested_structures_inside_structure_values.py

Robinson04/StructNoSQL

335c63593025582336bb67ad0b0ed39d30800b74

[ "MIT" ]

2

2021-01-03T21:37:22.000Z

2021-08-12T20:28:52.000Z

import unittest from typing import Set, Optional, Dict, List from uuid import uuid4 from StructNoSQL import BaseField, MapModel, TableDataModel from tests.components.playground_table_clients import PlaygroundDynamoDBBasicTable, TEST_ACCOUNT_ID class TableModel(TableDataModel): accountId = BaseField(field_type=str, required=True) nestedDictDictStructure = BaseField(field_type=Dict[str, Dict[str, bool]], required=False, key_name='itemKey') # nestedDictListStructure = BaseField(field_type=Dict[str, List[str]], required=False) # nestedDictSetStructure = BaseField(field_type=Dict[str, Set[str]], required=False) class TestsNestedStructuresInsideStructureValues(unittest.TestCase): def __init__(self, method_name: str): super().__init__(methodName=method_name) self.users_table = PlaygroundDynamoDBBasicTable(data_model=TableModel) def test_nested_dict_dict_structure(self): random_parent_key = f"parentKey_{uuid4()}" random_child_key = f"childKey_{uuid4()}" keys_fields_switch = list(self.users_table.fields_switch.keys()) self.assertIn('nestedDictDictStructure.{{itemKey}}.{{itemKeyChild}}', keys_fields_switch) update_success = self.users_table.update_field( key_value=TEST_ACCOUNT_ID, field_path='nestedDictDictStructure.{{itemKey}}.{{itemKeyChild}}', query_kwargs={'itemKey': random_parent_key, 'itemKeyChild': random_child_key}, value_to_set=True ) self.assertTrue(update_success) retrieved_item = self.users_table.get_field( key_value=TEST_ACCOUNT_ID, field_path='nestedDictDictStructure.{{itemKey}}', query_kwargs={'itemKey': random_parent_key} ) self.assertEqual(retrieved_item, {'itemKeyChild': True}) removed_item = self.users_table.remove_field( key_value=TEST_ACCOUNT_ID, field_path='nestedDictDictStructure.{{itemKey}}', query_kwargs={'itemKey': random_parent_key} ) self.assertEqual(removed_item, {'itemKeyChild': True}) retrieved_expected_none_item = self.users_table.get_field( TEST_ACCOUNT_ID, field_path='nestedDictDictStructure.{{itemKey}}', query_kwargs={'itemKey': random_parent_key} ) self.assertIsNone(retrieved_expected_none_item) def test_nested_dict_list_structure(self): # todo: implement pass def test_nested_dict_set_structure(self): # todo: implement pass if __name__ == '__main__': unittest.main()

38.441176

114

0.704285

277

2,614

6.270758

0.306859

0.031088

0.048359

0.041451

0.342545

0.264824

0.218768

0

0.001429

0.197016

2,614

67

115

39.014925

0.826108

0.076129

0

0.229167

0

0.134855

0.086722

0

0.014925

0.104167

1

0.083333

false

0.041667

0.104167

0

0.270833

0

null

0

null

0

1

0

1

bc43defd49d4ea43585c8d3910e9622ef8bc8d38

1,099

py

Python

scrapy/spider/spider/items.py

huobingli/splider

a62f0553160531a0735b249b0dc49747e9c821f9

[ "MIT" ]

null

scrapy/spider/spider/items.py

huobingli/splider

a62f0553160531a0735b249b0dc49747e9c821f9

[ "MIT" ]

null

scrapy/spider/spider/items.py

huobingli/splider

a62f0553160531a0735b249b0dc49747e9c821f9

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Define here the models for your scraped items # # See documentation in: # https://doc.scrapy.org/en/latest/topics/items.html import scrapy from scrapy.loader import ItemLoader from scrapy.loader.processors import TakeFirst # class SpiderItem(scrapy.Item): # # define the fields for your item here like: # # name = scrapy.Field() # pass # # # # class TorrentItem(scrapy.Item): # url = scrapy.Field() # name = scrapy.Field() # description = scrapy.Field() # size = scrapy.Field() # # import scrapy class StockstarItemLoader(ItemLoader): # 自定义itemloader,用于存储爬虫所抓取的字段内容 default_output_processor = TakeFirst() class StockstarItem(scrapy.Item): # 建立相应的字段 # define the fields for your item here like: # name = scrapy.Field() code = scrapy.Field() # 股票代码 abbr = scrapy.Field() # 股票简称 last_trade = scrapy.Field() # 最新价 chg_ratio = scrapy.Field() # 涨跌幅 chg_amt = scrapy.Field() # 涨跌额 chg_ratio_5min = scrapy.Field() # 5分钟涨幅 volumn = scrapy.Field() # 成交量 turn_over = scrapy.Field() # 成交额

24.977273

52

0.66424

133

1,099

5.428571

0.503759

0.213296

0.062327

0.049862

0.135734

0

0.00348

0.215651

1,099

44

53

24.977273

0.834107

0.503185

0

1

0

false

0

0.214286

0

1

0

null

1

0

null

0

1

bc44f25c8ff96beccbbd3fbaa05ae2dcf6790cc6

576

py

Python

fopp/Chapter 12. Functions/get_num_digits.py

H2u-Hwng/EVC

c650fe7356a333011514cf9025dfd97bf71b1de3

[ "MIT" ]

null

fopp/Chapter 12. Functions/get_num_digits.py

H2u-Hwng/EVC

c650fe7356a333011514cf9025dfd97bf71b1de3

[ "MIT" ]

null

fopp/Chapter 12. Functions/get_num_digits.py

H2u-Hwng/EVC

c650fe7356a333011514cf9025dfd97bf71b1de3

[ "MIT" ]

null

# Take number, and convert integer to string # Calculate and return number of digits def get_num_digits(num): # Convert int to str num_str = str(num) # Calculate number of digits digits = len(num_str) return digits # Define main function def main(): # Prompt user for an integer number = int(input('Enter an integer: ')) # Obtain number of digits num_digits = get_num_digits(number) # Display result print(f'The number of digits in number {number} is {num_digits}.') # Call main function main()

20.571429

70

0.647569

80

576

4.5625

0.4375

0.087671

0.153425

0

0.276042

576

27

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21.333333

0.8753

0.402778

0

0.221557

0

1

0.222222

false

0

0.333333

0.111111

0

null

0

null

0

1

0

1

bc450f5f688b95fda7b269a4ca568c7ecc5143ca

4,992

py

Python

whois/__init__.py

mzpqnxow/whois-1

b5623ed25cfa58d9457d30dae640e69b9e530b23

[ "MIT" ]

null

whois/__init__.py

mzpqnxow/whois-1

b5623ed25cfa58d9457d30dae640e69b9e530b23

[ "MIT" ]

null

whois/__init__.py

mzpqnxow/whois-1

b5623ed25cfa58d9457d30dae640e69b9e530b23

[ "MIT" ]

null

# -*- coding: utf-8 -*- from __future__ import print_function from __future__ import absolute_import from __future__ import unicode_literals from __future__ import division from future import standard_library standard_library.install_aliases() from builtins import * import re import sys import os import subprocess import socket from .parser import WhoisEntry from .whois import NICClient # thanks to https://www.regextester.com/104038 IPV4_OR_V6 = re.compile(r"((^\s*((([0-9]|[1-9][0-9]|1[0-9]{2}|2[0-4][0-9]|25[0-5])\.){3}([0-9]|[1-9][0-9]|1[0-9]{2}|2[0-4][0-9]|25[0-5]))\s*$)|(^\s*((([0-9A-Fa-f]{1,4}:){7}([0-9A-Fa-f]{1,4}|:))|(([0-9A-Fa-f]{1,4}:){6}(:[0-9A-Fa-f]{1,4}|((25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)(\.(25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)){3})|:))|(([0-9A-Fa-f]{1,4}:){5}(((:[0-9A-Fa-f]{1,4}){1,2})|:((25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)(\.(25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)){3})|:))|(([0-9A-Fa-f]{1,4}:){4}(((:[0-9A-Fa-f]{1,4}){1,3})|((:[0-9A-Fa-f]{1,4})?:((25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)(\.(25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)){3}))|:))|(([0-9A-Fa-f]{1,4}:){3}(((:[0-9A-Fa-f]{1,4}){1,4})|((:[0-9A-Fa-f]{1,4}){0,2}:((25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)(\.(25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)){3}))|:))|(([0-9A-Fa-f]{1,4}:){2}(((:[0-9A-Fa-f]{1,4}){1,5})|((:[0-9A-Fa-f]{1,4}){0,3}:((25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)(\.(25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)){3}))|:))|(([0-9A-Fa-f]{1,4}:){1}(((:[0-9A-Fa-f]{1,4}){1,6})|((:[0-9A-Fa-f]{1,4}){0,4}:((25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)(\.(25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)){3}))|:))|(:(((:[0-9A-Fa-f]{1,4}){1,7})|((:[0-9A-Fa-f]{1,4}){0,5}:((25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)(\.(25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)){3}))|:)))(%.+)?\s*$))") def whois(url, command=False, flags=0): # clean domain to expose netloc ip_match = IPV4_OR_V6.match(url) if ip_match: domain = url try: result = socket.gethostbyaddr(url) except socket.herror as e: pass else: domain = extract_domain(result[0]) else: domain = extract_domain(url) if command: # try native whois command r = subprocess.Popen(['whois', domain], stdout=subprocess.PIPE) text = r.stdout.read().decode() else: # try builtin client nic_client = NICClient() text = nic_client.whois_lookup(None, domain.encode('idna'), flags) return WhoisEntry.load(domain, text) suffixes = None def extract_domain(url): """Extract the domain from the given URL >>> print(extract_domain('http://www.google.com.au/tos.html')) google.com.au >>> print(extract_domain('abc.def.com')) def.com >>> print(extract_domain(u'www.公司.hk')) 公司.hk >>> print(extract_domain('chambagri.fr')) chambagri.fr >>> print(extract_domain('www.webscraping.com')) webscraping.com >>> print(extract_domain('198.252.206.140')) stackoverflow.com >>> print(extract_domain('102.112.2O7.net')) 2o7.net >>> print(extract_domain('globoesporte.globo.com')) globo.com >>> print(extract_domain('1-0-1-1-1-0-1-1-1-1-1-1-1-.0-0-0-0-0-0-0-0-0-0-0-0-0-10-0-0-0-0-0-0-0-0-0-0-0-0-0.info')) 0-0-0-0-0-0-0-0-0-0-0-0-0-10-0-0-0-0-0-0-0-0-0-0-0-0-0.info >>> print(extract_domain('2607:f8b0:4006:802::200e')) 1e100.net >>> print(extract_domain('172.217.3.110')) 1e100.net """ if IPV4_OR_V6.match(url): # this is an IP address return socket.gethostbyaddr(url)[0] # load known TLD suffixes global suffixes if not suffixes: # downloaded from https://publicsuffix.org/list/public_suffix_list.dat tlds_path = os.path.join(os.getcwd(), os.path.dirname(__file__), 'data', 'public_suffix_list.dat') with open(tlds_path, encoding='utf-8') as tlds_fp: suffixes = set(line.encode('utf-8') for line in tlds_fp.read().splitlines() if line and not line.startswith('//')) if not isinstance(url, str): url = url.decode('utf-8') url = re.sub('^.*://', '', url) url = url.split('/')[0].lower() # find the longest suffix match domain = b'' split_url = url.split('.') for section in reversed(split_url): if domain: domain = b'.' + domain domain = section.encode('utf-8') + domain if domain not in suffixes: if not b'.' in domain and len(split_url) >= 2: # If this is the first section and there wasn't a match, try to # match the first two sections - if that works, keep going # See https://github.com/richardpenman/whois/issues/50 second_order_tld = '.'.join([split_url[-2], split_url[-1]]) if not second_order_tld.encode('utf-8') in suffixes: break else: break return domain.decode('utf-8') if __name__ == '__main__': try: url = sys.argv[1] except IndexError: print('Usage: %s url' % sys.argv[0]) else: print(whois(url))

42.305085

1,227

0.55629

927

4,992

2.9137

0.211435

0.035542

0.048871

0.059237

0.197705

0.183636

0.178082

0.155498

0.138467

0

0.109804

0.182692

4,992

117

1,228

42.666667

0.552206

0.252404

0

0.132353

0

0.014706

0.358366

0.337107

0

1

0.029412

false

0.014706

0.191176

0

0.264706

0.044118

0

null

0

1

0

null

0

1

bc45c15aebfb0da618b90f3884eb8a545e0f2823

3,255

py

Python

app/dialog/avatar_picture_dialog.py

tirinox/alphavatarbot

5adac8c9c4534206eaf6c146f6e194ed5951d055

[ "MIT" ]

1

2021-03-18T15:35:15.000Z

app/dialog/avatar_picture_dialog.py

tirinox/alphavatarbot

5adac8c9c4534206eaf6c146f6e194ed5951d055

[ "MIT" ]

null

app/dialog/avatar_picture_dialog.py

tirinox/alphavatarbot

5adac8c9c4534206eaf6c146f6e194ed5951d055

[ "MIT" ]

1

2021-03-18T15:35:51.000Z

import asyncio from contextlib import AsyncExitStack from aiogram.dispatcher.filters.state import StatesGroup, State from aiogram.dispatcher.storage import FSMContextProxy from aiogram.types import Message, PhotoSize, ReplyKeyboardRemove, ContentTypes from aiogram.utils.helper import HelperMode from dialog.avatar_image_work import download_tg_photo, get_userpic, combine_frame_and_photo_v2, img_to_bio from dialog.base import BaseDialog, message_handler from localization import BaseLocalization from lib.depcont import DepContainer from lib.texts import kbd # todo: accept documents! class AvatarStates(StatesGroup): mode = HelperMode.snake_case # fixme: no state handle MAIN = State() class AvatarDialog(BaseDialog): def __init__(self, loc: BaseLocalization, data: FSMContextProxy, d: DepContainer): super().__init__(loc, data, d) self._work_lock = asyncio.Lock() def menu_kbd(self): return kbd([ self.loc.BUTTON_AVA_FROM_MY_USERPIC, ], vert=True) @message_handler(state=None) async def on_no_state(self, message: Message): await self.on_enter(message) @message_handler(state=AvatarStates.MAIN) async def on_enter(self, message: Message): if message.text == self.loc.BUTTON_AVA_FROM_MY_USERPIC: await self.handle_avatar_picture(message, self.loc) else: await AvatarStates.MAIN.set() await message.answer(self.loc.TEXT_AVA_WELCOME, reply_markup=self.menu_kbd()) @message_handler(state=AvatarStates.MAIN, content_types=ContentTypes.PHOTO) async def on_picture(self, message: Message): await self.handle_avatar_picture(message, self.loc, explicit_picture=message.photo[0]) async def handle_avatar_picture(self, message: Message, loc: BaseLocalization, explicit_picture: PhotoSize = None): async with AsyncExitStack() as stack: stack.enter_async_context(self._work_lock) # POST A LOADING STICKER sticker = await message.answer_sticker(self.loc.LOADING_STICKER, disable_notification=True, reply_markup=ReplyKeyboardRemove()) # CLEAN UP IN THE END stack.push_async_callback(sticker.delete) if explicit_picture is not None: user_pic = await download_tg_photo(explicit_picture) else: user_pic = await get_userpic(message.from_user) w, h = user_pic.size if not w or not h: await message.answer(loc.TEXT_AVA_ERR_INVALID, reply_markup=self.menu_kbd()) return if not ((64 <= w <= 4096) and (64 <= h <= 4096)): await message.answer(loc.TEXT_AVA_ERR_SIZE, reply_markup=self.menu_kbd()) return # pic = await combine_frame_and_photo(self.deps.cfg, user_pic) pic = await combine_frame_and_photo_v2(self.deps.cfg, user_pic) user_id = message.from_user.id pic = img_to_bio(pic, name=f'alpha_avatar_{user_id}.png') await message.answer_document(pic, caption=loc.TEXT_AVA_READY, reply_markup=self.menu_kbd())

39.695122

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0.324257

0.023322

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0.036173

0.254641

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0.243625

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0.046083

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0

0.192982

0.017544

0.350877

0

null

0

null

0

1

0

1

bc4baf04ed5a5ebda75a1b19ad254a0f725f6190

2,027

py

Python

nehebn2.py

psifertex/nehebn2

8b62a88a9d06624dbb62b8b74cc0566172fba970

[ "MIT" ]

null

nehebn2.py

psifertex/nehebn2

8b62a88a9d06624dbb62b8b74cc0566172fba970

[ "MIT" ]

null

nehebn2.py

psifertex/nehebn2

8b62a88a9d06624dbb62b8b74cc0566172fba970

[ "MIT" ]

null

#!/usr/bin/env python3 from components import ProgramState import binaryninja as binja import argparse import os.path import curses # TODO...impliment live-refreashing the settings.json during run (add the keybinding and check for it here in the global input loop) # TODO...support multi-key presses? Not sure if this already works or not # TODO...make sure to support small terminals (I think it does right now, but I should add some more checks so nothing goes out of bounds) def main(stdscr): # Setup parser = argparse.ArgumentParser(description='Nearly Headless BinaryNinja.') parser.add_argument('filename', nargs='?', default="") args = parser.parse_args() program = '' if not args.filename == "": if os.path.isfile(args.filename): bv = binja.BinaryViewType.get_view_of_file(''.join(args.filename), False) bv.update_analysis() while not str(bv.analysis_progress) == "Idle": prog = bv.analysis_progress stdscr.erase() stdscr.border() state = '' if prog.state == binja.AnalysisState.DisassembleState: state = "Disassembling" else: state = "Analyzing" loadingText = "Loading File: " prog = int((prog.count/(prog.total+1))*34.0) stdscr.addstr(2, 4, loadingText) stdscr.addstr(2, 4 + len(loadingText), state) stdscr.addstr(4, 4, '[' + '#'*prog + ' '*(34-prog) + ']') stdscr.refresh() program = ProgramState(stdscr, bv) else: raise IOError("File does not exist.") else: program = ProgramState(stdscr) key = "" while program.is_running: # Input Filtering try: key = stdscr.getkey() except curses.error as err: if not str(err) == "no input": raise curses.error(str(err)) else: key = "" # Clear Key Buffer # Rendering and input program.parseInput(key) program.render() curses.doupdate() if __name__ == "__main__": background = "2a2a2a" text = "e0e0e0" curses.wrapper(main)

28.957143

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0.644795

253

2,027

5.098814

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0.021705

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0.01225

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2,027

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0.12

0

null

0

null

0

1

0

1

bc511f5404ed81ec6c064f4f97b303375361769d

774

py

Python

leetcode/47.py

windniw/just-for-fun

54e5c2be145f3848811bfd127f6a89545e921570

[ "Apache-2.0" ]

1

2019-08-28T23:15:25.000Z

leetcode/47.py

windniw/just-for-fun

54e5c2be145f3848811bfd127f6a89545e921570

[ "Apache-2.0" ]

null

leetcode/47.py

windniw/just-for-fun

54e5c2be145f3848811bfd127f6a89545e921570

[ "Apache-2.0" ]

null

""" link: https://leetcode.com/problems/permutations-ii problem: 求全排列，nums中存在重复数 solution: 同46，加上排序即可 """ class Solution: def permuteUnique(self, nums: List[int]) -> List[List[int]]: if len(nums) == 1: return [nums] new_nums = nums.copy() new_nums.sort() res = [] for i in range(0, len(new_nums)): if i + 1 < len(new_nums) and new_nums[i] == new_nums[i + 1]: continue new_nums[i], new_nums[0] = new_nums[0], new_nums[i] sub_result = self.permuteUnique(new_nums[1:]) for r in sub_result: res.append([new_nums[0]] + r.copy()) new_nums[i], new_nums[0] = new_nums[0], new_nums[i] return res

28.666667

73

0.529716

106

774

3.698113

0.367925

0.285714

0.122449

0.112245

0.201531

0.163265

0

0.023166

0.330749

774

26

74

29.769231

0.733591

0.127907

0

0.125

0

1

0.0625

false

0

0.25

0

null

1

0

null

0

1

bc6e15840fb47699b6ed6ae5254ac356715fcfad

2,794

py

Python

tests/gen_test.py

tinylambda/tornadio2

7b112e2e207bd7500288b42896f9970c16e623ad

[ "Apache-2.0" ]

null

tests/gen_test.py

tinylambda/tornadio2

7b112e2e207bd7500288b42896f9970c16e623ad

[ "Apache-2.0" ]

null

tests/gen_test.py

tinylambda/tornadio2

7b112e2e207bd7500288b42896f9970c16e623ad

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- """ tornadio2.tests.gen ~~~~~~~~~~~~~~~~~~~ :copyright: (c) 2011 by the Serge S. Koval, see AUTHORS for more details. :license: Apache, see LICENSE for more details. """ from collections import deque from nose.tools import eq_ from tornadio2 import gen _queue = None def init_environment(): global _queue _queue = deque() def run_sync(test, callback): callback(test) def queue_async(test, callback): global _queue _queue.append((callback, test)) def step_async(): callback = _queue.popleft() callback[0](callback[1]) def run_async(): global _queue while True: try: step_async() except IndexError: break def run_async_oor(): global _queue while True: try: callback = _queue.pop() callback[0](callback[1]) except IndexError: break class Dummy(): def __init__(self, queue_type): self.v = None self.queue_type = queue_type @gen.sync_engine def test(self, value): self.v = yield gen.Task(self.queue_type, value) class DummyList(): def __init__(self, queue_type): self.v = [] self.queue_type = queue_type @gen.sync_engine def test(self, value): self.v.append((yield gen.Task(self.queue_type, value))) class DummyListOutOfOrder(): def __init__(self, queue_type): self.v = [] self.queue_type = queue_type @gen.engine def test(self, value): self.v.append((yield gen.Task(self.queue_type, value))) class DummyLoop(): def __init__(self, queue_type): self.v = 0 self.queue_type = queue_type @gen.sync_engine def test(self, value): for n in range(2): self.v += (yield gen.Task(self.queue_type, value)) def test(): init_environment() dummy = Dummy(run_sync) dummy.test('test') eq_(dummy.v, 'test') def test_async(): init_environment() dummy = Dummy(queue_async) dummy.test('test') run_async() # Verify value eq_(dummy.v, 'test') def test_sync_queue(): init_environment() dummy = DummyList(queue_async) dummy.test('1') dummy.test('2') dummy.test('3') run_async() # Verify value eq_(dummy.v, ['1', '2', '3']) def test_sync_queue_oor(): init_environment() dummy = DummyList(queue_async) dummy.test('1') dummy.test('2') dummy.test('3') run_async_oor() # Verify value eq_(dummy.v, ['1', '2', '3']) def test_async_queue_oor(): init_environment() dummy = DummyListOutOfOrder(queue_async) dummy.test('1') dummy.test('2') dummy.test('3') run_async_oor() # Verify value eq_(dummy.v, ['3', '2', '1'])

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77

0.598067

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2,794

4.38674

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0.09068

0.098237

0.040302

0.561083

0.509446

0.490554

0.442065

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0

0.015093

0.264853

2,794

155

78

18.025806

0.758033

0.084825

0

0.62766

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0

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0.202128

false

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0.276596

0

null

0

null

0

1

0

1

bc7c42367a8432fba7810ae50ee93f6f9fc12d32

2,516

py

Python

unittests/tools/test_intsights_parser.py

M-Rod101/django-DefectDojo

7b09a00b1a526abaf40455c2ddec16aaa06b16e2

[ "BSD-3-Clause" ]

249

2016-09-06T21:04:40.000Z

2018-01-19T15:59:44.000Z

unittests/tools/test_intsights_parser.py

OWASP/django-DefectDojo

c101e47b294863877cd68a82d0cc60f8017b45b1

[ "BSD-3-Clause" ]

255

2016-09-06T21:36:37.000Z

2018-01-19T19:57:57.000Z

unittests/tools/test_intsights_parser.py

M-Rod101/django-DefectDojo

7b09a00b1a526abaf40455c2ddec16aaa06b16e2

[ "BSD-3-Clause" ]

152

2016-09-06T21:04:54.000Z

2018-01-18T08:52:24.000Z

from ..dojo_test_case import DojoTestCase from dojo.models import Test from dojo.tools.intsights.parser import IntSightsParser class TestIntSightsParser(DojoTestCase): def test_intsights_parser_with_one_critical_vuln_has_one_findings_json( self): testfile = open("unittests/scans/intsights/intsights_one_vul.json") parser = IntSightsParser() findings = parser.get_findings(testfile, Test()) testfile.close() self.assertEqual(1, len(findings)) finding = list(findings)[0] self.assertEqual( '5c80dbf83b4a3900078b6be6', finding.unique_id_from_tool) self.assertEqual( 'HTTP headers weakness in initech.com web server', finding.title) self.assertEquals('Critical', finding.severity) self.assertEquals( "https://dashboard.intsights.com/#/threat-command/alerts?search=5c80dbf83b4a3900078b6be6", finding.references) def test_intsights_parser_with_one_critical_vuln_has_one_findings_csv( self): testfile = open("unittests/scans/intsights/intsights_one_vuln.csv") parser = IntSightsParser() findings = parser.get_findings(testfile, Test()) testfile.close() self.assertEqual(1, len(findings)) finding = list(findings)[0] self.assertEqual( "mn7xy83finmmth4ja363rci9", finding.unique_id_from_tool) self.assertEqual( "HTTP headers weakness in company-domain.com web server", finding.title) def test_intsights_parser_with_many_vuln_has_many_findings_json(self): testfile = open("unittests/scans/intsights/intsights_many_vul.json") parser = IntSightsParser() findings = parser.get_findings(testfile, Test()) testfile.close() self.assertEqual(3, len(findings)) def test_intsights_parser_with_many_vuln_has_many_findings_csv(self): testfile = open("unittests/scans/intsights/intsights_many_vuln.csv") parser = IntSightsParser() findings = parser.get_findings(testfile, Test()) testfile.close() self.assertEqual(9, len(findings)) def test_intsights_parser_invalid_text_with_error_csv(self): with self.assertRaises(ValueError): testfile = open( "unittests/scans/intsights/intsights_invalid_file.txt") parser = IntSightsParser() findings = parser.get_findings(testfile, Test())

38.121212

102

0.677663

265

2,516

6.177358

0.267925

0.073305

0.04887

0.067196

0.736714

0.707392

0.653635

0.609652

0.483812

0

0.022786

0.232512

2,516

65

103

38.707692

0.824961

0

0.518519

0

0.194754

0.116852

0

0.203704

1

0.092593

false

0

0.055556

0

0.166667

0

null

0

1

0

null

0

1

bc831b7e95388ec378c7efd07e50c5540c59f285

435

py

Python

gullveig/web/__init__.py

Addvilz/gullveig

6ac5e66062c1b5ea8ad7c66f69be9e3d99ac0825

[ "Apache-2.0" ]

8

2020-08-24T14:53:14.000Z

2021-03-16T03:58:01.000Z

gullveig/web/__init__.py

Addvilz/gullveig

6ac5e66062c1b5ea8ad7c66f69be9e3d99ac0825

[ "Apache-2.0" ]

6

2020-08-25T13:19:02.000Z

2021-02-21T21:55:34.000Z

gullveig/web/__init__.py

Addvilz/gullveig

6ac5e66062c1b5ea8ad7c66f69be9e3d99ac0825

[ "Apache-2.0" ]

null

import logging from gullveig import bootstrap_default_logger # Configure default logging def _configure_default_web_logger(): logger = logging.getLogger('gullveig-web') bootstrap_default_logger(logger) api_logger = logging.getLogger('gullveig-api') bootstrap_default_logger(api_logger) aio_logger = logging.getLogger('aiohttp.server') bootstrap_default_logger(aio_logger) _configure_default_web_logger()

22.894737

52

0.795402

51

435

6.392157

0.294118

0.196319

0.269939

0.153374

0

0.128736

435

18

53

24.166667

0.860158

0.057471

0

0.093137

0

1

0.1

false

0

0.2

0

0.3

0

null

0

1

0

null

0

1

bc926bb3d7c2f20a37f4cae0b86f7455ebdb913c

1,430

py

Python

scalability/tests/test_misc.py

ggreif/ic

ac56ec91f077c00d59eea3f73f51e14a1b3ea882

[ "Apache-2.0" ]

941

2021-05-10T08:14:14.000Z

2022-03-31T11:40:24.000Z

scalability/tests/test_misc.py

ggreif/ic

ac56ec91f077c00d59eea3f73f51e14a1b3ea882

[ "Apache-2.0" ]

3

2022-02-16T12:24:20.000Z

2022-03-23T12:05:41.000Z

scalability/tests/test_misc.py

ggreif/ic

ac56ec91f077c00d59eea3f73f51e14a1b3ea882

[ "Apache-2.0" ]

122

2021-05-10T08:21:23.000Z

2022-03-25T20:34:12.000Z

import unittest from unittest import TestCase from misc import verify class TestVerify(TestCase): """Tests misc.py verifies function.""" def test_verify__with_zero_threshold_and_expected_succeeds(self): """Test passes when expected rate, actual rate and threshold are all zero.""" result = verify(metric="Query failure rate", actual=0.0, expected=0.0, threshold=0.0) self.assertEqual(result, 0) def test_verify__fails_when_positive_delta_is_larger_than_postive_threshold(self): """Test fails when positive delta between actual rate and expected rate exceeds positive threshold.""" result = verify(metric="Update latency", actual=200, expected=100, threshold=0.1) self.assertEqual(result, 1) def test_verify__fails_when_negative_delta_is_smaller_than_negative_threshold(self): """Test fails when negative delta between actual rate and expected rate exceeds negative threshold.""" result = verify(metric="Update latency", actual=50, expected=100, threshold=-0.01) self.assertEqual(result, 1) def test_verify__fails_when_negative_delta_and_positive_threshold(self): """Test fails when delta between actual rate and expected rate exceeds threshold.""" result = verify(metric="Update latency", actual=50, expected=100, threshold=0.01) self.assertEqual(result, 0) if __name__ == "__main__": unittest.main()

43.333333

110

0.735664

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1,430

5.31746

0.285714

0.053731

0.051741

0.053731

0.552239

0.452736

0.406965

0.275622

0

0.02874

0.172727

1,430

32

111

44.6875

0.820795

0.263636

0

0.222222

0

0.066212

0

0.222222

1

0.222222

false

0

0.166667

0

0.444444

0

null

0

null

0

1

0

1

bc9f42407dc824808c93da43b669882c77d6d9f4

9,461

py

Python

web/app/forms.py

Devidence7/Break

f961b1b46977c86739ff651fe81a1d9fff98a8e1

[ "MIT" ]

null

web/app/forms.py

Devidence7/Break

f961b1b46977c86739ff651fe81a1d9fff98a8e1

[ "MIT" ]

null

web/app/forms.py

Devidence7/Break

f961b1b46977c86739ff651fe81a1d9fff98a8e1

[ "MIT" ]

null

from flask_wtf import FlaskForm from wtforms import Form, StringField, PasswordField, BooleanField, SubmitField, IntegerField, validators, FileField, \ MultipleFileField, SelectField, RadioField, HiddenField, DecimalField, TextAreaField from wtforms.fields.html5 import DateField from wtforms.validators import DataRequired # Structure of the Login form class LoginForm(Form): email = StringField('Email', [ validators.DataRequired(message='Es necesario introducir un email')]) password = PasswordField('Contraseña', [ validators.DataRequired(message='Es necesario introducir una contraseña')]) remember_me = BooleanField('Recuerdame') submit = SubmitField('Iniciar Sesión') # Structure of the Register form class RegisterForm(Form): name = StringField('Nombre', [ validators.DataRequired(message='Es necesario introducir un nombre'), validators.Length(min=4, max=50, message='El tamaño máximo del nombre son 50 carácteres')]) lastname = StringField('Apellidos', [ validators.DataRequired(message='Es necesario introducir apellidos'), validators.Length(min=4, max=50, message='El tamaño máximo del nombre son 50 carácteres')]) # username = StringField('Username', [ # validators.Length(min=4, max=25, message='El nombre de usuario debe tener entre 4 y 25 carácteres')]) email = StringField('Email', [ validators.DataRequired(message='Es necesario introducir un email'), validators.Length(min=1, max=50, message='El email no puede contener más de 50 carácteres')]) password = PasswordField('Contraseña', [ validators.DataRequired(message='Es necesario una contraseña'), validators.Length(min=8, message='La contraseña debe tener al menos 8 caracteres') ]) confirm = PasswordField('Confirmar Contraseña', [ validators.EqualTo('password', message='Las contraseñas no coinciden') ]) # Structure of the Login form class RestorePasswordForm(Form): email = StringField('Email', [ validators.DataRequired(message='Es necesario introducir un email')]) submit = SubmitField("Correo de Recuperación") class EditProfile(FlaskForm): name = StringField('Nombre', [ validators.DataRequired(message='Es necesario introducir un nombre'), validators.Length(min=4, max=50, message='El tamaño máximo del nombre son 50 carácteres')]) lastname = StringField('Apellidos', [ validators.DataRequired(message='Es necesario introducir apellidos'), validators.Length(min=4, max=50, message='El tamaño máximo del nombre son 50 carácteres')]) gender = RadioField('Género', choices = [('hombre','Hombre'),('mujer','Mujer')]) submit = SubmitField('Guardar cambios') class EditLocation(FlaskForm): lat = HiddenField('Latitud', [ validators.DataRequired(message='No se ha podido obtener la nueva localización') ]) lng = HiddenField('Longitud', [ validators.DataRequired(message='No se ha podido obtener la nueva localización') ]) submit = SubmitField('Establecer ubicación') class EditPassword(FlaskForm): old = PasswordField('Contraseña Anterior', [ validators.DataRequired(message='Es necesario introducir una contraseña') ]) password = PasswordField('Eliga una contraseña', [ validators.DataRequired(message='Es necesario introducir una contraseña'), validators.Length(min=8, message='La contraseña debe tener al menos 8 caracteres') ]) confirm = PasswordField('Confirme la contraseña', [ validators.EqualTo('password', message='Las contraseñas no coinciden') ]) submit = SubmitField('Cambiar contraseña') class EditEmail(FlaskForm): email = StringField('Correo electrónico', [ validators.DataRequired(message='Es necesario introducir una dirección de correo'), validators.Length(min=1, max=50, message='El correo no puede contener más de 50 carácteres')]) confirm = StringField('Confirmar correo electrónico', [ validators.EqualTo('email', message='Los correos no coinciden') ]) submit = SubmitField('Cambiar correo') class EditPicture(FlaskForm): picture = FileField('Imagen de perfil') submit = SubmitField('Establecer imagen') delete = SubmitField('Eliminar imagen') class DeleteAccount(FlaskForm): delete = SubmitField("Eliminar cuenta") # Structure of the Subir Anuncio form class SubirAnuncioForm(FlaskForm): # pictures = HiddenField("Imágenes") # mimes = HiddenField("Formatos de imagen") name = StringField('Nombre del producto', [ validators.DataRequired(message='Es necesario introducir un nombre de producto'), validators.Length(min=1, max=50, message='El tamaño máximo del nombre del producto son 50 carácteres')]) price = DecimalField('Precio (€)', [ validators.DataRequired(message='Es necesario introducir un precio'), validators.NumberRange(min=0, max=1000000, message='El precio intoducido no es válido (de 0 € a 999.999,99 €)')]) category = SelectField('Categoría', choices = [ ('Automoción', 'Automoción'), ('Informática', 'Informática'), ('Moda', 'Moda'), ('Deporte y ocio', 'Deporte y ocio'), ('Videojuegos', 'Videojuegos'), ('Libros y música', 'Libros y música'), ('Hogar y jardín', 'Hogar y jardín'), ('Foto y audio', 'Foto y audio') ], validators = [ validators.DataRequired(message='Es necesario seleccionar una categoría') ]) description = TextAreaField('Descripción', [ validators.DataRequired(message='Es necesario escribir una descripción')]) lat = HiddenField('Latitud') lng = HiddenField('Longitud') enddate = DateField('End', format = '%Y-%m-%d', description = 'Time that the event will occur', validators= [validators.Optional()] ) submit = SubmitField('Publicar') class ProductSearch(Form): categories = ['Automoción', 'Informática', 'Moda', 'Deporte y ocio', 'Videojuegos', 'Libros y música', 'Hogar y jardín', 'Foto y audio'] category = SelectField('Categoría', choices = [ ('Automoción', 'Automoción'), ('Informática', 'Informática'), ('Moda', 'Moda'), ('Deporte y ocio', 'Deporte y ocio'), ('Videojuegos', 'Videojuegos'), ('Libros y música', 'Libros y música'), ('Hogar y jardín', 'Hogar y jardín'), ('Foto y audio', 'Foto y audio') ]) estados = [('en venta', 'En Venta'), ('vendido', 'Vendido')] resultadosporpag = ['15', '30', '45', '60', '75', '90'] ordenacionlist = [('published ASC', 'Fecha (Más viejos primero)'), ('published DESC', 'Fecha (Más nuevos primero)'), ('distance DESC', 'Distancia Descendente'), ('distance ASC', 'Distancia Ascendente'), ('price ASC', 'Precio Ascendente'), ('price DESC', 'Precio Descendente'), ('views DESC', 'Popularidad descendente')] status = SelectField('Estado', choices = [ ('en venta','En Venta'), ('vendido','Vendido') ]) keywords = StringField('Palabras Clave') minprice = StringField('Precio Mínimo') maxprice = StringField('Precio Máximo') minpublished = DateField('Start', format = '%Y-%m-%d', description = 'Time that the event will occur') maxpublished = DateField('Start', format = '%Y-%m-%d', description = 'Time that the event will occur') resultados = SelectField('Resultados Por Página', choices = [ ('15', '15'), ('30', '30'), ('45', '45'), ('60', '60'), ('75', '75'), ('90', '90') ]) ordenacion = SelectField('Ordenación de Resultados', choices = [ ('published ASC', 'Fecha (Más viejos primero)'), ('published DESC', 'Fecha (Más nuevos primero)'), ('distance DESC', 'Distancia Descendente'), ('distance ASC', 'Distancia Ascendente'), ('price ASC', 'Precio Ascendente'), ('price DESC', 'Precio Descendente'), ('views DESC', 'Popularidad descendente') ]) distancia = StringField('Distancia') submit = SubmitField('Buscar') class Review(FlaskForm): stars = IntegerField('Puntuación', [ validators.DataRequired(message='Es necesario introducir una puntuación entre 1 y 5'), validators.NumberRange(min=1, max=5, message='La puntuación debe ser de 1 a 5 estrellas')]) comment = TextAreaField('Comentario', [ validators.DataRequired(message='Es necesario escribir un comentario')]) submit = SubmitField('Publicar Valoración') class bidPlacementForm(FlaskForm): amount = StringField('Cantidad') submit = SubmitField('Realizar Puja') class reportForm(Form): category = SelectField('Categoría', choices = [ ('Sospecha de fraude', 'Sospecha de fraude'), ('No acudió a la cita', 'No acudió a la cita'), ('Mal comportamiento', 'Mal comportamiento'), ('Artículo defectuoso', 'Artículo defectuoso'), ('Otros', 'Otros')]) description = TextAreaField('Descripción del informe', [ validators.DataRequired(message='Es necesario escribir una descripción')]) submit = SubmitField('Publicar Informe')

48.025381

323

0.649931

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0.258098

0.075122

0.099024

0.095772

0.56374

0.539024

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0.47122

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0

0.014233

0.220273

9,461

196

324

48.270408

0.819032

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false

0.064706

0.023529

0

0.458824

0

null

0

null

0

1

0

1

bcaae8938e310a72ba14496462496246c713e82d

577

py

Python

contrib/micronet/scripts/file2buf.py

pmalhaire/WireHub

588a372e678b49557deed6ba88a896596222fb2d

[ "Apache-2.0" ]

337

2018-12-21T22:13:57.000Z

2019-11-01T18:35:10.000Z

contrib/micronet/scripts/file2buf.py

nask0/WireHub

588a372e678b49557deed6ba88a896596222fb2d

[ "Apache-2.0" ]

8

2018-12-24T20:16:40.000Z

2019-09-02T11:54:48.000Z

contrib/micronet/scripts/file2buf.py

nask0/WireHub

588a372e678b49557deed6ba88a896596222fb2d

[ "Apache-2.0" ]

18

2018-12-24T02:49:38.000Z

2019-07-31T20:00:47.000Z

#!/usr/bin/env python3 import os import sys MAX = 8 fpath = sys.argv[1] name = sys.argv[2] with open(fpath, "rb") as fh: sys.stdout.write("char %s[] = {" % (name,) ) i = 0 while True: if i > 0: sys.stdout.write(", ") if i % MAX == 0: sys.stdout.write("\n\t") c = fh.read(1) if not c: sys.stdout.write("\n") break sys.stdout.write("0x%.2x" % (ord(c), )) i = i + 1 print("};") print("") print("unsigned int %s_sz = %s;" % (name, i)) print("")

15.594595

49

0.443674

82

577

3.109756

0.5

0.176471

0.27451

0.117647

0

0.029891

0.362218

577

36

50

16.027778

0.663043

0.036395

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0.099278

0

1

0

false

0

0.086957

0

0.086957

0.173913

0

null

0

1

0

null

0

1

bcae93da2c9dcb0c8765b93504dcb020462aad8e

1,696

py

Python

game/ball.py

geoncic/PyBlock

69c8220e38a21b7e1c6dd2196752173f9e78981f

[ "MIT" ]

null

game/ball.py

geoncic/PyBlock

69c8220e38a21b7e1c6dd2196752173f9e78981f

[ "MIT" ]

null

game/ball.py

geoncic/PyBlock

69c8220e38a21b7e1c6dd2196752173f9e78981f

[ "MIT" ]

null

import pygame import pygame.gfxdraw from constants import Constants class Balls(object): def __init__(self, all_sprites, all_balls): self.all_sprites = all_sprites self.all_balls = all_balls def spawn_ball(self, pos, vel, team): # Todo: Figure out how to spawn multiple balls with some sort of delay ball = Ball(pos, vel, team) self.all_sprites.add(ball) self.all_balls.add(ball) def ball_test(self): print("This is a Ball Test!") print(self) def update(self): print(self.__dict__) print(type(self)) class Ball(pygame.sprite.Sprite): def __init__(self, pos, vel, team): super().__init__() self.color = team self.file = Constants.BALL_TEAMS[self.color] self.rad = int(Constants.BALL_SIZE/2) self.image = pygame.Surface([Constants.BALL_SIZE, Constants.BALL_SIZE], pygame.SRCALPHA) pygame.draw.circle(self.image, self.file, (self.rad, self.rad), self.rad) self.x_pos = pos[0] self.y_pos = pos[1] self.rect = self.image.get_rect(center=(self.x_pos, self.y_pos)) self.dx = vel[0] self.dy = vel[1] def update(self): self.check_boundary() self.x_pos += self.dx self.y_pos += self.dy self.rect.center = [self.x_pos, self.y_pos] # self.rect.center = pygame.mouse.get_pos() # has sprite follow the mouse def check_boundary(self): if not Constants.PLAYER_WIDTH <= self.x_pos <= (Constants.PLAYER_WIDTH+Constants.BOARD_WIDTH): self.dx = -1*self.dx if not 0 <= self.y_pos <= Constants.SCREEN_HEIGHT: self.dy = -1*self.dy

30.836364

102

0.625

245

1,696

4.130612

0.302041

0.041502

0.039526

0.035573

0.083992

0.059289

0

0.006339

0.255896

1,696

54

103

31.407407

0.795563

0.081958

0

0.05

0

0.012878

0

0.018519

0

1

0.175

false

0

0.075

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0.3

0.1

0

null

0

null

0

1

0

1

bcaebabdfa8553517a45b393cf40eff654bc096f

36,597

py

Python

program/eggUI.py

otills/embryocv

d501f057bada15ff5dc753d3dae5a883b5c9e244

[ "MIT" ]

1

2020-08-05T02:47:12.000Z

program/eggUI.py

otills/embryocv

d501f057bada15ff5dc753d3dae5a883b5c9e244

[ "MIT" ]

null

program/eggUI.py

otills/embryocv

d501f057bada15ff5dc753d3dae5a883b5c9e244

[ "MIT" ]

1

2020-08-05T02:47:16.000Z

from pyqtgraph.Qt import QtCore, QtGui import numpy as np from scipy.spatial import distance as dist import glob import re import os from PyQt5 import QtGui from PyQt5.QtCore import * from PyQt5.QtGui import * import sys import cv2 import pandas as pd from PyQt5.Qt import * import pyqtgraph as pg #from PyQt4.Qt import * #%% class eggUI(QDialog): ''' createOpenCVEggROI : take eggID defined ROIs and visualise ''' sliderUpdate = QtCore.pyqtSignal() embryoUpdate = QtCore.pyqtSignal() keyPressed = QtCore.pyqtSignal() def __init__(self, parent=None): super(eggUI, self).__init__(parent) # Make QDialog self.diag = QtGui.QDialog() global parentPath, vidTime self.diag.setWindowTitle('Identify eggs') self.diag.imv = pg.ImageView() self.btn_save = QPushButton('Save', self) #============================================================================== # #============================================================================== def showUI(self,ims,eggRotBBox, eggBoxPoints, embryoLabels, eggInt): self.eggInt = eggInt self.embryoLabels = embryoLabels self.diag.setWindowTitle('Identify eggs') # Make ImageView self.diag.imv = pg.ImageView() self.diag.resize(1000,600) # Make ROI self.importOpenCVROIs(eggRotBBox, eggBoxPoints) if (eggRotBBox[0][0][0] != 'nan'): self.createOpenCVEggROI() self.diag.imv.addItem(self.roi) # Remove buttons from ImageView widget self.diag.imv.ui.roiBtn.hide() self.diag.imv.ui.menuBtn.hide() # Make tableview self.diag.table = QtGui.QTableWidget() self.diag.table.setShowGrid(True) self.diag.table.setHorizontalHeaderLabels(['Embryo', 'Sorted']) # Sets different alignment data just on the first column self.diag.table.setRowCount(int(len(self.embryoLabels))) self.diag.table.setColumnCount(2) # Highlight first row self.diag.table.selectRow(0) # Make layout checkLayout = QGridLayout() # Deal with stretching for approrpraite formatting. checkLayout.setColumnStretch(0, 3) checkLayout.setColumnStretch(1, 1) checkLayout.setRowStretch(0, 1) checkLayout.setRowStretch(1, 3) # Add to layout checkLayout.addWidget(self.diag.imv,0,0,2,2) checkLayout.addWidget(self.diag.table,1,5) # Apply layout self.diag.setLayout(checkLayout) # Make buttons self.cpROI_btn = QtGui.QPushButton('&Copy ROI') self.cpROI_btn.setMinimumHeight(40); self.useCpROI_btn = QtGui.QPushButton('&Use Copied ROI') self.useCpROI_btn.setMinimumHeight(40); self.noEgg_btn = QtGui.QPushButton('&No Egg') self.noEgg_btn.setMinimumHeight(40); self.approveROI_btn = QtGui.QPushButton('&Approve ROIs') self.approveROI_btn.setMinimumHeight(40); self.exit_btn = QtGui.QPushButton('Exit') self.exit_btn.setMinimumHeight(40); # Make button layout self.btnLayout = QGridLayout() self.btnLayout.addWidget(self.cpROI_btn,0,0) self.btnLayout.addWidget(self.useCpROI_btn,0,1) self.btnLayout.addWidget(self.noEgg_btn,1,1) self.btnLayout.addWidget(self.approveROI_btn,1,0) # Exit button not implemented, just use window x (topRight). # self.btnLayout.addWidget(self.exit_btn,2,1) # Add button layout to GridLayout. checkLayout.addLayout(self.btnLayout,0,5) # Format images for pyqtgraph and put in ImageView # self.formatSequence(ims) self.imImport() self.diag.imv.setImage(self.compSeq) # Add the ROI to ImageItem self.diag.show() # Call function to add data self.dataForTable() # Function for modifying the table when ROI is approved. self.approveROI_btn.clicked.connect(self.updateTable) # Copy current ROI self.cpROI_btn.clicked.connect(self.cpROI) # Apply copied ROI self.useCpROI_btn.clicked.connect(self.applyCopiedROI) # Assign nan to frames not containing egg self.noEgg_btn.clicked.connect(self.recordNoEgg) # Exit - prompt user to confirm #self.exit_btn.clicked.connect(self.closeEvent) # Connect changes in timeline so correct ROI is created and displayed. self.diag.imv.timeLine.sigPositionChanged.connect(self.updateOpenCVEggROICurrEmbryo) #self.diag.keyPressEvent(self.keyPressEvent) #============================================================================== # Generate data for populating the embryo/approveROI table. #============================================================================== def dataForTable(self): self.tableData = {'Embryo':list(self.embryoLabels), 'ROI approved':['No'] * len(list(self.embryoLabels))} self.tableCols = [QtGui.QColor(0,0,100,120)]* len(list(self.embryoLabels)) # Enter data onto Table horHeaders = [] for n, key in enumerate(sorted(self.tableData.keys())): horHeaders.append(key) for m, item in enumerate(self.tableData[key]): newitem = QtGui.QTableWidgetItem(item) newitem.setBackground(QtGui.QColor(0,0,100,120)) self.diag.table.setItem(m, n, newitem) # Add Header self.diag.table.setHorizontalHeaderLabels(horHeaders) # Adjust size of Table self.diag.table.resizeRowsToContents() # self.diag.table.resizeColumnsToContents() #============================================================================== # Update table when approve ROI button clicked. #============================================================================== def updateTable(self): self.tableData['ROI approved'][self.diag.table.currentRow()] = 'Approved' self.tableCols[self.diag.table.currentRow()] = QtGui.QColor(0,100,0,120) horHeaders = [] for n, key in enumerate(sorted(self.tableData.keys())): horHeaders.append(key) for m, item in enumerate(self.tableData[key]): newitem = QtGui.QTableWidgetItem(item) self.diag.table.setItem(m, n, newitem) newitem.setBackground(self.tableCols[m]) #Add Header self.diag.table.setHorizontalHeaderLabels(horHeaders) #Adjust size of Table self.diag.table.resizeRowsToContents() #============================================================================== # Update the user interface #============================================================================== def updateUI(self,ims,eggRotBBox, eggBoxPoints): self.imImport() self.diag.imv.setImage(self.compSeq) self.importOpenCVROIs(eggRotBBox, eggBoxPoints) self.getSeqValsAndCurrROI() self.updateOpenCVEggROINewEmbryo() # Add the ROI to ImageItem #self.diag.imv.addItem(self.roi) #============================================================================== # Deal with data from the dataHandling class #============================================================================== def formatSequence(self,ims): # Format seq appropriately for pyqtgraph ROIs self.tSeqd = np.zeros_like(ims) for l in range(len(self.tSeqd)): self.tSeqd[l] = ims[l].T #============================================================================== # Get folders for a particular embryo #============================================================================== def getEmbryoFolders(self, parentPath, embryo): self.parentPath = parentPath self.embryo = embryo self.embryoFolders = glob.glob(parentPath + "*/" + embryo +"/") self.embryoFolders.sort(key=os.path.getctime) #============================================================================== # Get image #============================================================================== def imImport(self): for f in range(len(self.eggUIimPaths)): im = cv2.imread(self.eggUIimPaths[f],cv2.IMREAD_ANYDEPTH) ran = (im.max()-im.min())/255. out = (im/ran) out = out-out.min() self.compSeq[int(f)] = out.astype(np.uint8) self.compSeq[f] = self.compSeq[f].T #============================================================================== # Update image iteratively when slider moved #============================================================================== #============================================================================== # def updateImage(self): # self.getSeqValsAndCurrROI() # #self.UI.compSeq[e*len(self.eggIDIms):(e*len(self.eggIDIms)+len(self.eggIDIms))] = self.seq # #self.UI.comp(self.imImport(self.diag.imv.currentIndex())) # im = cv2.imread(self.eggUIimPaths[self.diag.imv.currentIndex],cv2.IMREAD_ANYDEPTH) # ran = (im.max()-im.min())/255. # out = (im/ran) # out = out-out.min() # self.compSeq[self.diag.imv.currentIndex] = out.astype(np.uint8) # self.diag.imv.setImage(self.compSeq.T) # self.diag.imv.show() # #======== #============================================================================== #============================================================================== # ROI functions #============================================================================== #============================================================================== # Import OpenCV determined ROIs from dataHandling instance. Called from showUI and updateUI. #============================================================================== def importOpenCVROIs(self,eggRotBBox, eggBoxPoints): self.eggRotBBox = eggRotBBox self.eggBoxPoints = eggBoxPoints self.originalEggRotBBox = eggRotBBox.copy() self.originalEggBoxPoints = eggBoxPoints.copy() #============================================================================== # Get index values for ROI data. #============================================================================== def getSeqValsAndCurrROI(self): # Calculate the indices for current frame if self.eggInt != 1234: self.divVal = self.diag.imv.currentIndex/float(len(self.eggRotBBox[1])) self.intDivVal = int(self.divVal) self.withinSeqVal = int((self.divVal - self.intDivVal)*len(self.eggRotBBox[self.intDivVal])) self.currROI_eggRotBBox = self.eggRotBBox[self.intDivVal,self.withinSeqVal] self.currROI_eggBoxPoints = self.eggBoxPoints[self.intDivVal,self.withinSeqVal] else: self.divVal = self.diag.imv.currentIndex self.intDivVal = int(self.divVal) self.currROI_eggRotBBox = self.eggRotBBox[0,self.intDivVal] self.currROI_eggBoxPoints = self.eggBoxPoints[0,self.intDivVal] #============================================================================== # Generate a pyqtgraph ROI, using data from OpenCV. #============================================================================== def createOpenCVEggROI(self): # Get relevant sequence position and ROI. self.getSeqValsAndCurrROI() if (self.currROI_eggRotBBox[0] != 'nan'): # 0 or 90 degree angles seem very buggy. Shift to 1 and 89 as a bodge fix. if self.currROI_eggRotBBox[4] == -90: #self.currROI_eggRotBBox[4] = -89 # Get rotated bounding box points ySorted = self.currROI_eggBoxPoints[np.argsort(self.currROI_eggBoxPoints[:, 1]), :] # Get bottom most, and top most sorted corner points bottomMost = ySorted[:2, :] topMost = ySorted[2:, :] # Get bottom most bottomMost = bottomMost[np.argsort(bottomMost[:, 1]), :] (bl, br) = bottomMost # Use bottom-left coordinate as anchor to calculate the Euclidean distance between the # The point with the largest distance will be our bottom-right point D = dist.cdist(bl[np.newaxis], topMost, "euclidean")[0] (tl, tr) = topMost[np.argsort(D)[::-1], :] self.roi = pg.ROI([bl[0], bl[1]], [self.currROI_eggRotBBox[2], self.currROI_eggRotBBox[3]]) elif self.currROI_eggRotBBox[4] == -0: #self.currROI_eggRotBBox[4] = -1 ySorted = self.currROI_eggBoxPoints[np.argsort(self.currROI_eggBoxPoints[:, 1]), :] # Get bottom most, and top most sorted corner points bottomMost = ySorted[:2, :] topMost = ySorted[2:, :] # Get bottom most bottomMost = bottomMost[np.argsort(bottomMost[:, 1]), :] (bl, br) = bottomMost # Use bottom-left coordinate as anchor to calculate the Euclidean distance between the # The point with the largest distance will be our bottom-right point D = dist.cdist(bl[np.newaxis], topMost, "euclidean")[0] (tl, tr) = topMost[np.argsort(D)[::-1], :] self.roi = pg.ROI([bl[0], bl[1]], [self.currROI_eggRotBBox[2], self.currROI_eggRotBBox[3]]) elif self.currROI_eggRotBBox[4] == -180: #self.currROI_eggRotBBox[4] = -179 ySorted = self.currROI_eggBoxPoints[np.argsort(self.currROI_eggBoxPoints[:, 1]), :] # Get bottom most, and top most sorted corner points bottomMost = ySorted[:2, :] topMost = ySorted[2:, :] # Get bottom most bottomMost = bottomMost[np.argsort(bottomMost[:, 1]), :] (bl, br) = bottomMost # Use bottom-left coordinate as anchor to calculate the Euclidean distance between the # The point with the largest distance will be our bottom-right point D = dist.cdist(bl[np.newaxis], topMost, "euclidean")[0] (tl, tr) = topMost[np.argsort(D)[::-1], :] self.roi = pg.ROI([bl[0], bl[1]], [self.currROI_eggRotBBox[2], self.currROI_eggRotBBox[3]]) else: # Get rotated bounding box points ySorted = self.currROI_eggBoxPoints[np.argsort(self.currROI_eggBoxPoints[:, 1]), :] # Get bottom most, and top most sorted corner points bottomMost = ySorted[:2, :] topMost = ySorted[2:, :] # Get bottom most bottomMost = bottomMost[np.argsort(bottomMost[:, 1]), :] (bl, br) = bottomMost # Use bottom-left coordinate as anchor to calculate the Euclidean distance between the # The point with the largest distance will be our bottom-right point D = dist.cdist(bl[np.newaxis], topMost, "euclidean")[0] (tl, tr) = topMost[np.argsort(D)[::-1], :] # Make ROI - note non 0,or 90 degree angles, require different of the X size # Rectangular ROI used to enable more easy handling of corner handles for tracking user chagnges. if (self.currROI_eggRotBBox[4] == -90.0) | (self.currROI_eggRotBBox[4] == -0.0)| (self.currROI_eggRotBBox[4] == 0.0): self.roi = pg.ROI([bl[0], bl[1]], [self.currROI_eggRotBBox[2], self.currROI_eggRotBBox[3]]) # roi = pg.EllipseROI([bottomMost[0][0], bottomMost[0][1]], [eggRotBBox[vidTime][2], eggRotBBox[vidTime][3]]) # Debug # print 'no angle' else: # Random angle ROIs self.roi = pg.ROI([bottomMost[0][0], bottomMost[0][1]], [-self.currROI_eggRotBBox[2], self.currROI_eggRotBBox[3]]) self.roi.setAngle(self.currROI_eggRotBBox[4], update=True) # roi = pg.EllipseROI([bottomMost[0][0], bottomMost[0][1]], [-eggRotBBox[vidTime][2], eggRotBBox[vidTime][3]]) # Add handles self.roi.addRotateHandle([1, 0],[0.5,0.5]) self.roi.addRotateHandle([0, 1], [0.5,0.5]) self.roi.addScaleHandle([1, 1], [0, 0]) self.roi.addScaleHandle([0, 0], [1, 1]) self.roi.setPen('y',width=3) self.roi.removable self.roi.invertible = 'True' # Make var for dealing with modifications to roi self.updatedEggROI=[] self.roi.sigRegionChangeFinished.connect(self.updateROI) #else: #============================================================================== # Update the ROI for current embryo. #============================================================================== def updateOpenCVEggROICurrEmbryo(self): # Remove previous if (hasattr(self, 'roi')): self.diag.imv.removeItem(self.roi) # Get relevant video position and ROI. self.getSeqValsAndCurrROI() # 0 or 90 degree angles seem very buggy. Shift to 1 and 89 as a bodge fix. if self.currROI_eggRotBBox[4] == -90: #self.currROI_eggRotBBox[4] = -89 # Get rotated bounding box points ySorted = self.currROI_eggBoxPoints[np.argsort(self.currROI_eggBoxPoints[:, 1]), :] # Get bottom most, and top most sorted corner points bottomMost = ySorted[:2, :] topMost = ySorted[2:, :] # Get bottom most bottomMost = bottomMost[np.argsort(bottomMost[:, 1]), :] (bl, br) = bottomMost # Use bottom-left coordinate as anchor to calculate the Euclidean distance between the # The point with the largest distance will be our bottom-right point D = dist.cdist(bl[np.newaxis], topMost, "euclidean")[0] (tl, tr) = topMost[np.argsort(D)[::-1], :] self.roi = pg.ROI([bl[0], bl[1]], [self.currROI_eggRotBBox[2], self.currROI_eggRotBBox[3]]) elif self.currROI_eggRotBBox[4] == -0: #self.currROI_eggRotBBox[4] = -1 ySorted = self.currROI_eggBoxPoints[np.argsort(self.currROI_eggBoxPoints[:, 1]), :] # Get bottom most, and top most sorted corner points bottomMost = ySorted[:2, :] topMost = ySorted[2:, :] # Get bottom most bottomMost = bottomMost[np.argsort(bottomMost[:, 1]), :] (bl, br) = bottomMost # Use bottom-left coordinate as anchor to calculate the Euclidean distance between the # The point with the largest distance will be our bottom-right point D = dist.cdist(bl[np.newaxis], topMost, "euclidean")[0] (tl, tr) = topMost[np.argsort(D)[::-1], :] self.roi = pg.ROI([bl[0], bl[1]], [self.currROI_eggRotBBox[2], self.currROI_eggRotBBox[3]]) elif self.currROI_eggRotBBox[4] == -180: #self.currROI_eggRotBBox[4] = -179 ySorted = self.currROI_eggBoxPoints[np.argsort(self.currROI_eggBoxPoints[:, 1]), :] # Get bottom most, and top most sorted corner points bottomMost = ySorted[:2, :] topMost = ySorted[2:, :] # Get bottom most bottomMost = bottomMost[np.argsort(bottomMost[:, 1]), :] (bl, br) = bottomMost # Use bottom-left coordinate as anchor to calculate the Euclidean distance between the # The point with the largest distance will be our bottom-right point D = dist.cdist(bl[np.newaxis], topMost, "euclidean")[0] (tl, tr) = topMost[np.argsort(D)[::-1], :] self.roi = pg.ROI([bl[0], bl[1]], [self.currROI_eggRotBBox[2], self.currROI_eggRotBBox[3]]) else: # Get rotated bounding box points ySorted = self.currROI_eggBoxPoints[np.argsort(self.currROI_eggBoxPoints[:, 1]), :] # Get bottom most, and top most sorted corner points bottomMost = ySorted[:2, :] topMost = ySorted[2:, :] # Get bottom most bottomMost = bottomMost[np.argsort(bottomMost[:, 1]), :] (bl, br) = bottomMost # Use bottom-left coordinate as anchor to calculate the Euclidean distance between the # The point with the largest distance will be our bottom-right point D = dist.cdist(bl[np.newaxis], topMost, "euclidean")[0] (tl, tr) = topMost[np.argsort(D)[::-1], :] # Make ROI - note non 0,or 90 degree angles, require different of the X size # Rectangular ROI used to enable more easy handling of corner handles for tracking user chagnges. if (self.currROI_eggRotBBox[4] == -90.0) | (self.currROI_eggRotBBox[4] == -0.0)| (self.currROI_eggRotBBox[4] == 0.0): self.roi = pg.ROI([bl[0], bl[1]], [self.currROI_eggRotBBox[2], self.currROI_eggRotBBox[3]]) # roi = pg.EllipseROI([bottomMost[0][0], bottomMost[0][1]], [eggRotBBox[vidTime][2], eggRotBBox[vidTime][3]]) # Debug # print 'no angle' else: # Random angle ROIs self.roi = pg.ROI([bottomMost[0][0], bottomMost[0][1]], [-self.currROI_eggRotBBox[2], self.currROI_eggRotBBox[3]]) self.roi.setAngle(self.currROI_eggRotBBox[4], update=True) # roi = pg.EllipseROI([bottomMost[0][0], bottomMost[0][1]], [-eggRotBBox[vidTime][2], eggRotBBox[vidTime][3]]) # roi = pg.EllipseROI([bottomMost[0][0], bottomMost[0][1]], [-eggRotBBox[vidTime][2], eggRotBBox[vidTime][3]]) # Add handles self.roi.addRotateHandle([1, 0],[0.5,0.5]) self.roi.addRotateHandle([0, 1], [0.5,0.5]) self.roi.addScaleHandle([1, 1], [0, 0]) self.roi.addScaleHandle([0, 0], [1, 1]) self.roi.setPen('y',width=3) self.roi.removable self.roi.invertible = 'True' # Make var for dealing with modifications to roi self.updatedEggROI=[] ### Still to do... self.diag.imv.addItem(self.roi) self.roi.sigRegionChangeFinished.connect(self.updateROI) #============================================================================== # Update ROI for new embryo. #============================================================================== def updateOpenCVEggROINewEmbryo(self): # Remove old ROI if (hasattr(self, 'roi')): self.diag.imv.removeItem(self.roi) # Get relevant video position and ROI self.getSeqValsAndCurrROI() # 0 or 90 degree angles seem very buggy. Shift to 1 and 89 as a bodge fix. if self.currROI_eggRotBBox[4] == -90: #self.currROI_eggRotBBox[4] = -89 # Get rotated bounding box points ySorted = self.currROI_eggBoxPoints[np.argsort(self.currROI_eggBoxPoints[:, 1]), :] # Get bottom most, and top most sorted corner points bottomMost = ySorted[:2, :] topMost = ySorted[2:, :] # Get bottom most bottomMost = bottomMost[np.argsort(bottomMost[:, 1]), :] (bl, br) = bottomMost # Use bottom-left coordinate as anchor to calculate the Euclidean distance between the # The point with the largest distance will be our bottom-right point D = dist.cdist(bl[np.newaxis], topMost, "euclidean")[0] (tl, tr) = topMost[np.argsort(D)[::-1], :] self.roi = pg.ROI([bl[0], bl[1]], [self.currROI_eggRotBBox[2], self.currROI_eggRotBBox[3]]) elif self.currROI_eggRotBBox[4] == -0: #self.currROI_eggRotBBox[4] = -1 ySorted = self.currROI_eggBoxPoints[np.argsort(self.currROI_eggBoxPoints[:, 1]), :] # Get bottom most, and top most sorted corner points bottomMost = ySorted[:2, :] topMost = ySorted[2:, :] # Get bottom most bottomMost = bottomMost[np.argsort(bottomMost[:, 1]), :] (bl, br) = bottomMost # Use bottom-left coordinate as anchor to calculate the Euclidean distance between the # The point with the largest distance will be our bottom-right point D = dist.cdist(bl[np.newaxis], topMost, "euclidean")[0] (tl, tr) = topMost[np.argsort(D)[::-1], :] self.roi = pg.ROI([bl[0], bl[1]], [self.currROI_eggRotBBox[2], self.currROI_eggRotBBox[3]]) elif self.currROI_eggRotBBox[4] == -180: #self.currROI_eggRotBBox[4] = -179 ySorted = self.currROI_eggBoxPoints[np.argsort(self.currROI_eggBoxPoints[:, 1]), :] # Get bottom most, and top most sorted corner points bottomMost = ySorted[:2, :] topMost = ySorted[2:, :] # Get bottom most bottomMost = bottomMost[np.argsort(bottomMost[:, 1]), :] (bl, br) = bottomMost # Use bottom-left coordinate as anchor to calculate the Euclidean distance between the # The point with the largest distance will be our bottom-right point D = dist.cdist(bl[np.newaxis], topMost, "euclidean")[0] (tl, tr) = topMost[np.argsort(D)[::-1], :] self.roi = pg.ROI([bl[0], bl[1]], [self.currROI_eggRotBBox[2], self.currROI_eggRotBBox[3]]) else: # Get rotated bounding box points ySorted = self.currROI_eggBoxPoints[np.argsort(self.currROI_eggBoxPoints[:, 1]), :] # Get bottom most, and top most sorted corner points bottomMost = ySorted[:2, :] topMost = ySorted[2:, :] # Get bottom most bottomMost = bottomMost[np.argsort(bottomMost[:, 1]), :] (bl, br) = bottomMost # Use bottom-left coordinate as anchor to calculate the Euclidean distance between the # The point with the largest distance will be our bottom-right point D = dist.cdist(bl[np.newaxis], topMost, "euclidean")[0] (tl, tr) = topMost[np.argsort(D)[::-1], :] # Make ROI - note non 0,or 90 degree angles, require different of the X size # Rectangular ROI used to enable more easy handling of corner handles for tracking user chagnges. if (self.currROI_eggRotBBox[4] == -90.0) | (self.currROI_eggRotBBox[4] == -0.0)| (self.currROI_eggRotBBox[4] == 0.0): self.roi = pg.ROI([bl[0], bl[1]], [self.currROI_eggRotBBox[2], self.currROI_eggRotBBox[3]]) # roi = pg.EllipseROI([bottomMost[0][0], bottomMost[0][1]], [eggRotBBox[vidTime][2], eggRotBBox[vidTime][3]]) # Debug # print 'no angle' else: # Random angle ROIs self.roi = pg.ROI([bottomMost[0][0], bottomMost[0][1]], [-self.currROI_eggRotBBox[2], self.currROI_eggRotBBox[3]]) self.roi.setAngle(self.currROI_eggRotBBox[4], update=True) # Add handles self.roi.addRotateHandle([1, 0],[0.5,0.5]) self.roi.addRotateHandle([0, 1], [0.5,0.5]) self.roi.addScaleHandle([1, 1], [0, 0]) self.roi.addScaleHandle([0, 0], [1, 1]) self.roi.setPen('y',width=3) self.roi.removable self.roi.invertible = 'True' # Make var for dealing with modifications to roi self.updatedEggROI=[] ### Still to do... self.diag.imv.addItem(self.roi) self.roi.sigRegionChangeFinished.connect(self.updateROI) #============================================================================== # Update ROI. #============================================================================== def updateROI(self): #global vidTime, xyPosHandles, ellipse, changeAngle, roiChanges,updatedEggROI, changeX, changeY, changeScaleX, changeScaleY, changeAngle # Get changes to ROI scale, angle and position roiChanges = self.roi.getGlobalTransform() changeX = -roiChanges.getTranslation()[0] changeY = roiChanges.getTranslation()[1] changeScaleX = roiChanges.getScale()[0] changeScaleY = roiChanges.getScale()[1] changeAngle = roiChanges.getAngle() # Update ROI, either updating the previously updated or taking the unaltered ROI from OpenCV as a starting point. #if len(self.updatedEggROI) == 0: self.updatedEggROI = (((self.currROI_eggRotBBox[0]-changeX),(self.currROI_eggRotBBox[1]+changeY)),((max((self.currROI_eggRotBBox[3]*changeScaleX),(self.currROI_eggRotBBox[2]*changeScaleY))),(min((self.currROI_eggRotBBox[3]*changeScaleX),(self.currROI_eggRotBBox[2]*changeScaleY)))),self.currROI_eggRotBBox[4]+changeAngle) #else: #self.updatedEggROI = (((self.updatedEggROI[0][0]-changeX),(self.updatedEggROI[0][1]+changeY)),((max((self.updatedEggROI[1][0]*changeScaleX),(self.updatedEggROI[1][1]*changeScaleY))),(min((self.updatedEggROI[1][0]*changeScaleX),(self.updatedEggROI[1][1]*changeScaleY)))),self.updatedEggROI[2]+changeAngle) hh = self.roi.getHandles() hh = [self.roi.mapToItem(self.diag.imv.getImageItem(), h.pos()) for h in hh] # Handle on each corner. Get handle positions self.xyPosHandles =[] for h in hh: self.xyPosHandles.append([h.x(),h.y()]) (eggBBX, eggBBY), (eggBBW, eggBBH), eggBBAng = cv2.minAreaRect(np.array(self.xyPosHandles, dtype=np.int32) ) if eggBBAng == -90: eggBBAng = -89 elif eggBBAng == -180: eggBBAng = -179 elif eggBBAng == -0: eggBBAng = -1 # Save updated # If more than one frame eggID per sequence.. if self.eggInt != 1234: self.eggRotBBox[self.intDivVal,self.withinSeqVal] = [eggBBX, eggBBY, eggBBW, eggBBH, eggBBAng] self.eggBoxPoints[self.intDivVal,self.withinSeqVal] = cv2.boxPoints(((eggBBX, eggBBY), (eggBBW, eggBBH), eggBBAng)) # Otherwise just save simply else: self.eggRotBBox[0,self.intDivVal] = [eggBBX, eggBBY, eggBBW, eggBBH, eggBBAng] self.eggBoxPoints[0,self.intDivVal] = cv2.boxPoints(((eggBBX, eggBBY), (eggBBW, eggBBH), eggBBAng)) #============================================================================== # Copy ROI on button click. #============================================================================== def cpROI(self): self.originalEggRotBBox = self.currROI_eggRotBBox self.originalEggBoxPoints = self.currROI_eggBoxPoints #============================================================================== # Assign nan to current ROI if 'No Egg' button clicked #============================================================================== def recordNoEgg(self): # Remove ROI self.diag.imv.removeItem(self.roi) # Store nans in place of ROI if self.eggInt != 1234: self.eggRotBBox[self.intDivVal,self.withinSeqVal] = [np.nan, np.nan, np.nan, np.nan, np.nan] self.eggBoxPoints[0,self.intDivVal] = [np.nan,np.nan,np.nan,np.nan] else: self.eggBoxPoints[0,self.intDivVal] = [np.nan,np.nan,np.nan,np.nan] self.eggRotBBox[0,self.intDivVal] = [np.nan, np.nan, np.nan, np.nan, np.nan] #============================================================================== # Copy ROI on button click. #============================================================================== def applyCopiedROI(self): self.getSeqValsAndCurrROI() # Store copied ROI to embryo sequence ROIs if self.eggInt != 1234: self.divVal = self.diag.imv.currentIndex/float(len(self.eggRotBBox[1])) self.intDivVal = int(self.divVal) self.withinSeqVal = int((self.divVal - self.intDivVal)*len(self.eggRotBBox[self.intDivVal])) self.eggRotBBox[self.intDivVal,self.withinSeqVal] = self.originalEggRotBBox self.eggBoxPoints[self.intDivVal,self.withinSeqVal] = self.originalEggBoxPoints else: self.divVal = self.diag.imv.currentIndex self.intDivVal = int(self.divVal) self.eggRotBBox[0,self.intDivVal] = self.originalEggRotBBox self.eggBoxPoints[0,self.intDivVal] = self.originalEggBoxPoints self.updateOpenCVEggROICurrEmbryo() #============================================================================== # #============================================================================== #============================================================================== # Close button - not implemented (hidden) #============================================================================== #============================================================================== # def closeEvent(self, event): # # quit_msg = "Are you sure you want to exit the program?" # reply = QtGui.QMessageBox.question(self, 'Message', # quit_msg, QtGui.QMessageBox.Yes, QtGui.QMessageBox.No) # # if reply == QtGui.QMessageBox.Yes: # #event.accept() # app.quit() # else: # event.ignore() # #============================================================================== #============================================================================== # #self.originalEggRotBBox = eggRotBBox.copy() # #self.originalEggBoxPoints = eggBoxPoints.copy() # #self.currROI_eggRotBBox = self.eggRotBBox[self.intDivVal,self.withinSeqVal] # #self.currROI_eggBoxPoints = self.eggBoxPoints[self.intDivVal,self.withinSeqVal] # # # Modified version of updateOpenCVEggROICurrEmbryo # # Remove previous # self.diag.imv.removeItem(self.roi) # # Get relevant video position and ROI. # self.getSeqValsAndCurrROI() # # Get rotated bounding box points # ySorted = self.originalEggBoxPoints[np.argsort(self.originalEggBoxPoints[:, 1]), :] # # Get bottom most, and top most sorted corner points # bottomMost = ySorted[:2, :] # topMost = ySorted[2:, :] # # Get bottom most # bottomMost = bottomMost[np.argsort(bottomMost[:, 1]), :] # (bl, br) = bottomMost # # Use bottom-left coordinate as anchor to calculate the Euclidean distance between the # # The point with the largest distance will be our bottom-right point # D = dist.cdist(bl[np.newaxis], topMost, "euclidean")[0] # (tl, tr) = topMost[np.argsort(D)[::-1], :] # # Make ROI - note non 0,or 90 degree angles, require different of the X size # # Rectangular ROI used to enable more easy handling of corner handles for tracking user chagnges. # if (self.originalEggRotBBox[4] == -90.0) | (self.originalEggRotBBox[4] == -0.0)| (self.originalEggRotBBox[4] == 0.0): # self.roi = pg.ROI([bottomMost[0][0], bottomMost[0][1]], [self.originalEggRotBBox[2], self.originalEggRotBBox[3]]) # # roi = pg.EllipseROI([bottomMost[0][0], bottomMost[0][1]], [eggRotBBox[vidTime][2], eggRotBBox[vidTime][3]]) # else: # # Random angle ROIs # self.roi = pg.ROI([bottomMost[0][0], bottomMost[0][1]], [-self.originalEggRotBBox[2], self.originalEggRotBBox[3]]) # self.roi.setAngle(self.originalEggRotBBox[4], update=True) # # roi = pg.EllipseROI([bottomMost[0][0], bottomMost[0][1]], [-eggRotBBox[vidTime][2], eggRotBBox[vidTime][3]]) # # Add handles # self.roi.addRotateHandle([1, 0],[0.5,0.5]) # self.roi.addRotateHandle([0, 1], [0.5,0.5]) # self.roi.addScaleHandle([1, 1], [0, 0]) # self.roi.addScaleHandle([0, 0], [1, 1]) # self.roi.setPen('y',width=3) # self.roi.removable # self.roi.invertible = 'True' # # Make var for dealing with modifications to roi # self.updatedEggROI=[] # ### Still to do... # self.diag.imv.addItem(self.roi) # self.roi.sigRegionChangeFinished.connect(self.updateROI) #============================================================================== #===============

54.540984

329

0.545099

3,856

36,597

5.138745

0.111774

0.055514

0.076306

0.034418

0.686652

0.660207

0.640424

0.617159

0.605249

0.605047

0

0.020821

0.244064

36,597

671

330

54.540984

0.695427

0.409924

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0.585227

0

0.012608

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1

0.048295

false

0

0.056818

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0.116477

0

null

0

1

0

null

0

1

bcaf69ed2a6fded7e4b539b423940b33563b6d40

540

py

Python

tests/unittest/options/pricing/test_binomial_trees.py

yiluzhu/quant

784c5cc20eeded2ff684b464eec4744f000d9638

[ "MIT" ]

1

2020-10-14T12:56:14.000Z

tests/unittest/options/pricing/test_binomial_trees.py

yiluzhu/quant

784c5cc20eeded2ff684b464eec4744f000d9638

[ "MIT" ]

null

tests/unittest/options/pricing/test_binomial_trees.py

yiluzhu/quant

784c5cc20eeded2ff684b464eec4744f000d9638

[ "MIT" ]

null

from unittest import TestCase from options.pricing.binomial_trees import BinomialTreePricer from options.option import OptionType, Option class BinomialTreeTestCase(TestCase): def test_basic(self): """European option, spot price 50, strike price 52, risk free interest rate 5% expiry 2 years, volatility 30% """ pricer = BinomialTreePricer(steps=100) option = Option(OptionType.PUT, 50, 52, 0.05, 2, 0.3) result = pricer.price_option(option) self.assertEqual(6.7781, result)

30

86

0.698148

67

540

5.58209

0.656716

0.058824

0

0.061466

0.216667

540

17

87

31.764706

0.822695

0.196296

0

0.111111

1

0.111111

false

0

0.333333

0

0.555556

0

null

0

null

0

1

0

1

bcb0236709da62fc588329e551c92b5fc621ffd9

2,927

py

Python

kafka/structs.py

informatique-cdc/kafka-python

d73bd6fc2f8825e2fddb7c4f091af7b266e37aea

[ "Apache-2.0" ]

4,389

2015-06-12T06:00:10.000Z

2022-03-31T20:41:42.000Z

kafka/structs.py

informatique-cdc/kafka-python

d73bd6fc2f8825e2fddb7c4f091af7b266e37aea

[ "Apache-2.0" ]

1,595

2015-12-02T20:58:22.000Z

2022-03-27T07:28:03.000Z

kafka/structs.py

informatique-cdc/kafka-python

d73bd6fc2f8825e2fddb7c4f091af7b266e37aea

[ "Apache-2.0" ]

1,115

2015-12-02T23:17:52.000Z

2022-03-30T03:34:29.000Z

""" Other useful structs """ from __future__ import absolute_import from collections import namedtuple """A topic and partition tuple Keyword Arguments: topic (str): A topic name partition (int): A partition id """ TopicPartition = namedtuple("TopicPartition", ["topic", "partition"]) """A Kafka broker metadata used by admin tools. Keyword Arguments: nodeID (int): The Kafka broker id. host (str): The Kafka broker hostname. port (int): The Kafka broker port. rack (str): The rack of the broker, which is used to in rack aware partition assignment for fault tolerance. Examples: `RACK1`, `us-east-1d`. Default: None """ BrokerMetadata = namedtuple("BrokerMetadata", ["nodeId", "host", "port", "rack"]) """A topic partition metadata describing the state in the MetadataResponse. Keyword Arguments: topic (str): The topic name of the partition this metadata relates to. partition (int): The id of the partition this metadata relates to. leader (int): The id of the broker that is the leader for the partition. replicas (List[int]): The ids of all brokers that contain replicas of the partition. isr (List[int]): The ids of all brokers that contain in-sync replicas of the partition. error (KafkaError): A KafkaError object associated with the request for this partition metadata. """ PartitionMetadata = namedtuple("PartitionMetadata", ["topic", "partition", "leader", "replicas", "isr", "error"]) """The Kafka offset commit API The Kafka offset commit API allows users to provide additional metadata (in the form of a string) when an offset is committed. This can be useful (for example) to store information about which node made the commit, what time the commit was made, etc. Keyword Arguments: offset (int): The offset to be committed metadata (str): Non-null metadata """ OffsetAndMetadata = namedtuple("OffsetAndMetadata", # TODO add leaderEpoch: OffsetAndMetadata(offset, leaderEpoch, metadata) ["offset", "metadata"]) """An offset and timestamp tuple Keyword Arguments: offset (int): An offset timestamp (int): The timestamp associated to the offset """ OffsetAndTimestamp = namedtuple("OffsetAndTimestamp", ["offset", "timestamp"]) MemberInformation = namedtuple("MemberInformation", ["member_id", "client_id", "client_host", "member_metadata", "member_assignment"]) GroupInformation = namedtuple("GroupInformation", ["error_code", "group", "state", "protocol_type", "protocol", "members", "authorized_operations"]) """Define retry policy for async producer Keyword Arguments: Limit (int): Number of retries. limit >= 0, 0 means no retries backoff_ms (int): Milliseconds to backoff. retry_on_timeouts: """ RetryOptions = namedtuple("RetryOptions", ["limit", "backoff_ms", "retry_on_timeouts"])

33.261364

102

0.702767

358

2,927

5.692737

0.374302

0.023553

0.027478

0.023553

0.102552

0.069676

0.035329

0

0.001697

0.194739

2,927

87

103

33.643678

0.862961

0.031773

0

0.415135

0.022703

0

0.011494

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0.111111

0

0.111111

0

null

0

null

0

1

0

1

bcb21686e2484863628d877e956c259a49e6e1be

2,542

py

Python

app/resources/magic_castle_api.py

ComputeCanada/mc-hub

92b4c212ba8f7b5b1c8b8700f981275605a07067

[ "BSD-3-Clause" ]

5

2020-09-04T16:34:36.000Z

2020-09-25T19:14:59.000Z

app/resources/magic_castle_api.py

ComputeCanada/mc-hub

92b4c212ba8f7b5b1c8b8700f981275605a07067

[ "BSD-3-Clause" ]

39

2020-09-12T17:37:14.000Z

2022-03-10T17:49:57.000Z

app/resources/magic_castle_api.py

ComputeCanada/mc-hub

92b4c212ba8f7b5b1c8b8700f981275605a07067

[ "BSD-3-Clause" ]

1

2021-03-29T15:42:13.000Z

from flask import request from resources.api_view import ApiView from exceptions.invalid_usage_exception import InvalidUsageException from models.user.user import User from models.user.authenticated_user import AuthenticatedUser class MagicCastleAPI(ApiView): def get(self, user: User, hostname): if hostname: magic_castle = user.get_magic_castle_by_hostname(hostname) return magic_castle.dump_configuration() else: if type(user) == AuthenticatedUser: return [ { **magic_castle.dump_configuration(planned_only=True), "hostname": magic_castle.get_hostname(), "status": magic_castle.get_status().value, "freeipa_passwd": magic_castle.get_freeipa_passwd(), "owner": magic_castle.get_owner_username(), } for magic_castle in user.get_all_magic_castles() ] else: return [ { **magic_castle.dump_configuration(planned_only=True), "hostname": magic_castle.get_hostname(), "status": magic_castle.get_status().value, "freeipa_passwd": magic_castle.get_freeipa_passwd(), } for magic_castle in user.get_all_magic_castles() ] def post(self, user: User, hostname, apply=False): if apply: magic_castle = user.get_magic_castle_by_hostname(hostname) magic_castle.apply() return {} else: magic_castle = user.create_empty_magic_castle() json_data = request.get_json() if not json_data: raise InvalidUsageException("No json data was provided") magic_castle.set_configuration(json_data) magic_castle.plan_creation() return {} def put(self, user: User, hostname): magic_castle = user.get_magic_castle_by_hostname(hostname) json_data = request.get_json() if not json_data: raise InvalidUsageException("No json data was provided") magic_castle.set_configuration(json_data) magic_castle.plan_modification() return {} def delete(self, user: User, hostname): magic_castle = user.get_magic_castle_by_hostname(hostname) magic_castle.plan_destruction() return {}

39.71875

77

0.5893

257

2,542

5.509728

0.249027

0.217514

0.093927

0.056497

0.658192

0.634181

0.580508

0

0.335563

2,542

63

78

40.349206

0.838366

0

0.54386

0

0.043666

0

1

0.070175

false

0.035088

0.087719

0

0.298246

0

null

1

0

null

0

1

bcbef8c15ce4fa1656c062f45eb901b87f935220

1,828

py

Python

musicLrc.py

xiangxing98/Rhythm-Enlightment

d6302321e858d07480b18e94c59de87f91c39202

[ "MIT" ]

null

musicLrc.py

xiangxing98/Rhythm-Enlightment

d6302321e858d07480b18e94c59de87f91c39202

[ "MIT" ]

null

musicLrc.py

xiangxing98/Rhythm-Enlightment

d6302321e858d07480b18e94c59de87f91c39202

[ "MIT" ]

null

import time musicLrc = """ [00:03.50]传奇 [00:19.10]作词：刘兵作曲：李健 [00:20.60]演唱：王菲 [00:26.60] [04:40.75][02:39.90][00:36.25]只是因为在人群中多看了你一眼 [04:49.00] [02:47.44][00:43.69]再也没能忘掉你容颜 [02:54.83][00:51.24]梦想着偶然能有一天再相见 [03:02.32][00:58.75]从此我开始孤单思念 [03:08.15][01:04.30] [03:09.35][01:05.50]想你时你在天边 [03:16.90][01:13.13]想你时你在眼前 [03:24.42][01:20.92]想你时你在脑海 [03:31.85][01:28.44]想你时你在心田 [03:38.67][01:35.05] [04:09.96][03:39.87][01:36.25]宁愿相信我们前世有约 [04:16.37][03:46.38][01:42.47]今生的爱情故事不会再改变 [04:24.82][03:54.83][01:51.18]宁愿用这一生等你发现 [04:31.38][04:01.40][01:57.43]我一直在你身旁从未走远 [04:39.55][04:09.00][02:07.85] """ lrcDict = {} musicLrcList = musicLrc.splitlines() #print(musicLrcList) for lrcLine in musicLrcList: #[04:40.75][02:39.90][00:36.25]只是因为在人群中多看了你一眼 #[04:40.75 [02:39.90 [00:36.25 只是因为在人群中多看了你一眼 #[00:20.60]演唱：王菲 lrcLineList = lrcLine.split("]") for index in range(len(lrcLineList) - 1): timeStr = lrcLineList[index][1:] #print(timeStr) #00:03.50 timeList = timeStr.split(":") timelrc = float(timeList[0]) * 60 + float(timeList[1]) #print(time) lrcDict[timelrc] = lrcLineList[-1] print(lrcDict) allTimeList = [] for t in lrcDict: allTimeList.append(t) allTimeList.sort() #print(allTimeList) ''' while 1: getTime = float(input("请输入一个时间")) for n in range(len(allTimeList)): tempTime = allTimeList[n] if getTime < tempTime: break if n == 0: print("时间太小") else: print(lrcDict[allTimeList[n - 1]]) ''' getTime = 0 while 1: for n in range(len(allTimeList)): tempTime = allTimeList[n] if getTime < tempTime: break lrc = lrcDict.get(allTimeList[n - 1]) if lrc == None: pass else: print(lrc) time.sleep(1) getTime += 1

22.292683

62

0.605033

297

1,828

3.723906

0.380471

0.014467

0.016275

0.0217

0.227848

0.209765

0

0.212225

0.203501

1,828

82

63

22.292683

0.54739

0.098468

0

0.04

0.413392

0.310044

0

1

0

false

0.02

0

0.02

0.04

0

null

0

1

0

null

0

1

bcc231c6648af0cd64b843faf63ad79a79b6853b

895

py

Python

src/plugins/sjsy.py

2443391447/nonebot2

c9fa0c44c130b8a1425b2b71105fa909232c37b0

[ "MIT" ]

1

2021-08-24T03:18:23.000Z

src/plugins/sjsy.py

2443391447/nonebot2

c9fa0c44c130b8a1425b2b71105fa909232c37b0

[ "MIT" ]

null

src/plugins/sjsy.py

2443391447/nonebot2

c9fa0c44c130b8a1425b2b71105fa909232c37b0

[ "MIT" ]

1

2021-09-01T07:50:03.000Z

from nonebot import on_keyword, on_command from nonebot.typing import T_State from nonebot.adapters.cqhttp import Message, Bot, Event # 这两个没用的别删 from nonebot.adapters.cqhttp.message import MessageSegment import requests from nonebot.permission import * from nonebot.rule import to_me from aiocqhttp.exceptions import Error as CQHttpError sheying = on_keyword({'随机摄影'}) @sheying.handle() async def main(bot: Bot, event: Event, state: T_State): msg = await downloads() try: await sheying.send(message=Message(msg)) except CQHttpError: pass async def downloads(): url = "https://yanghanwen.xyz/tu/ren.php" resp = requests.get(url).json() url_ing = resp['data'] xians = f"[CQ:image,file={url_ing}]" return xians # await xians.send("正在爬取图片，请稍后……") # await xians.send(MessageSegment.at(id) + xians + "精选摄影")

28.870968

68

0.689385

119

895

5.168067

0.529412

0.107317

0.061789

0.081301

0

0.2

895

31

69

28.870968

0.850559

0.109497

0

0.086387

0.032723

0

1

0

false

0.045455

0.363636

0

0.409091

0

null

0

null

0

1

0

1

bccb37cf2799cc964344db7c5cf679594dae2889

2,252

py

Python

tests/test_api.py

ines/spacy-js

5b7a86cb0d1099285e01252f7e1d44a36ad9a07f

[ "MIT" ]

141

2018-10-27T17:18:54.000Z

2022-03-31T11:08:02.000Z

tests/test_api.py

Fabulabs/spacy-js

c7a34298203d26b25f9eb1f6b9eb875faa33d144

[ "MIT" ]

16

2018-10-27T21:44:36.000Z

2022-01-22T03:01:54.000Z

tests/test_api.py

Fabulabs/spacy-js

c7a34298203d26b25f9eb1f6b9eb875faa33d144

[ "MIT" ]

22

2019-01-12T16:38:20.000Z

2022-03-14T19:11:38.000Z

# coding: utf8 from __future__ import unicode_literals import pytest import spacy import json from api.server import parse, doc2json, load_model @pytest.fixture(scope="session") def model(): return "en_core_web_sm" @pytest.fixture(scope="session") def text(): return "This is a sentence about Facebook. This is another one." @pytest.fixture(scope="session") def nlp(model): return spacy.load(model) @pytest.fixture(scope="session") def doc(nlp, text): return nlp(text) def test_server_parse(model, text, doc): load_model(model) json_doc = parse(model, text) direct_json_doc = doc2json(doc, model) assert json.dumps(json_doc, sort_keys=True) == json.dumps( direct_json_doc, sort_keys=True ) def test_doc2json_doc_tokens(doc, model): data = doc2json(doc, model) assert data["model"] == model assert data["doc"]["text"] == doc.text assert data["doc"]["text_with_ws"] == doc.text_with_ws assert data["doc"]["is_tagged"] assert data["doc"]["is_parsed"] assert data["doc"]["is_sentenced"] assert len(data["tokens"]) == len(doc) assert data["tokens"][0]["text"] == doc[0].text assert data["tokens"][0]["head"] == doc[0].head.i def test_doc2json_doc_ents(doc, model): data = doc2json(doc, model) ents = list(doc.ents) assert "ents" in data assert len(data["ents"]) == len(ents) assert len(data["ents"]) >= 1 assert data["ents"][0]["start"] == ents[0].start assert data["ents"][0]["end"] == ents[0].end assert data["ents"][0]["label"] == ents[0].label_ def test_doc2json_doc_sents(doc, model): data = doc2json(doc, model) sents = list(doc.sents) assert "sents" in data assert len(data["sents"]) == len(sents) assert len(data["sents"]) >= 1 assert data["sents"][0]["start"] == sents[0].start assert data["sents"][0]["end"] == sents[0].end def test_doc2json_doc_noun_chunks(doc, model): data = doc2json(doc, model) chunks = list(doc.noun_chunks) assert "noun_chunks" in data assert len(data["noun_chunks"]) == len(chunks) assert len(data["noun_chunks"]) >= 1 assert data["noun_chunks"][0]["start"] == chunks[0].start assert data["noun_chunks"][0]["end"] == chunks[0].end

27.463415

68

0.654085

330

2,252

4.321212

0.193939

0.105189

0.063815

0.070126

0.28892

0.130435

0.051893

0

0.017214

0.174512

2,252

81

69

27.802469

0.749866

0.005329

0

0.133333

0

0.143878

0

0.433333

1

0.15

false

0

0.083333

0.066667

0.3

0

null

0

null

0

1

0

1

bcd088f1e5c34ccfa8be8350d7cb0a6ebc06a38b

4,979

py

Python

HealthNet/prescriptions/views.py

jimga150/HealthNet

84e55302b02221ae6e93640904af837fdfe09a83

[ "MIT" ]

null

HealthNet/prescriptions/views.py

jimga150/HealthNet

84e55302b02221ae6e93640904af837fdfe09a83

[ "MIT" ]

null

HealthNet/prescriptions/views.py

jimga150/HealthNet

84e55302b02221ae6e93640904af837fdfe09a83

[ "MIT" ]

null

from django.shortcuts import redirect from .forms import PrescriptionForm from core.views import is_doctor, is_nurse, is_admin, is_patient from core.models import * from .models import Prescription from django.contrib.auth.decorators import login_required, user_passes_test from django.utils import timezone from django.shortcuts import render from django.core.urlresolvers import reverse def not_admin(user): """ :param user: The User in question :return: True if the user is anything but an Admin """ return not is_admin(user) def is_doctor_or_nurse(user): """ :param user: The User in question :return: True if the user is a Doctor or Nurse """ return is_doctor(user) or is_nurse(user) @login_required @user_passes_test(is_doctor) def new_prescription(request): """ Page for the form a doctor fills out to prescribe a drug :param request: the request with possible form submission :return: Prescription form or redirect to listing page (below) """ if request.method == 'POST': prescription_form = PrescriptionForm(data=request.POST) validity = prescription_form.is_valid() if validity: prescription = prescription_form.save(commit=False) prescription.date_prescribed = timezone.now() prescription.doctor = Doctor.objects.all().get(user=request.user) prescription.save() log = Log.objects.create_Log(request.user, request.user.username, timezone.now(), "Prescription filled out") log.save() else: print("Error") print(prescription_form.errors) if 'submit_singular' in request.POST and validity: return redirect('prescriptions') elif 'submit_another' in request.POST: prescription_form = PrescriptionForm() else: prescription_form = PrescriptionForm() context = {"prescription_form": prescription_form} return render(request, 'prescriptions/makenew.html', context) def get_prescription_list_for(cpatient): """ Generic getter for a specific patient's prescription list :param cpatient: Patient to fetch list for :return: context of Prescription list """ Prescriptions = Prescription.objects.all().filter(patient=cpatient) per = [] for p in Prescriptions.iterator(): per.append(str(dict(p.TIME_CHOICES)[p.Time_units])) p_list = zip(Prescriptions, per) return {"Labels": ["Doctor", "Drug", "Dosage", "Rate"], "Name": str(cpatient), "Prescriptions": p_list} @login_required @user_passes_test(not_admin) def prescriptions(request): """ Lists either all patients in the hospital with links to their prescription lists, or the prescriptions applied to a single defined patient. :param request: The request sent in, not used here :return: List page rendering """ context = {} if is_doctor(request.user) or is_nurse(request.user): context["Labels"] = ["Name", "Prescriptions"] patients = Patient.objects.all() prescription_nums = [] for pat in patients.iterator(): prescription_nums.append(Prescription.objects.filter(patient=pat).count()) context["Patients"] = zip(patients, prescription_nums) elif is_patient(request.user): cpatient = Patient.objects.get(user=request.user) context = get_prescription_list_for(cpatient) context["is_doctor"] = is_doctor(request.user) context["is_doctor"] = is_doctor(request.user) return render(request, 'prescriptions/list.html', context) @login_required @user_passes_test(is_doctor_or_nurse) def prescriptions_list(request, patient_id): """ Page that doctors and nurses are sent to when accessing a single patient's prescription list. :param request: The request sent in, not used here :param patient_id: ID of the patient who's being listed :return: List page rendering """ cpatient = Patient.objects.get(pk=patient_id) context = get_prescription_list_for(cpatient) context["is_doctor"] = is_doctor(request.user) return render(request, 'prescriptions/list.html', context) @login_required @user_passes_test(is_doctor) def delete_prescription(request, prescription_id): """ Page for confirming/deleting a single prescription :param request: The request sent in, not used here :param prescription_id: ID number of the prescription in question :return: Redirect or confirmation page """ prescription = Prescription.objects.get(pk=prescription_id) patient_id = prescription.patient.id if request.method == 'POST': prescription.delete() return redirect(reverse('list prescriptions for patient', kwargs={'patient_id': patient_id})) context = {"Prescription": prescription, 'patient_id': patient_id} return render(request, 'prescriptions/delete.html', context)

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119

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612

4,979

5.537582

0.236928

0.030688

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0.033933

0.238713

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4,979

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0.859062

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0.063291

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0.025316

0

null

0

null

0

1

0

1

bcd88cb9aee8377371dcb96cf615ef4e2ec10580

4,113

py

Python

exercises/level_0/stringing.py

eliranM98/python_course

d9431dd6c0f27fca8ca052cc2a821ed0b883136c

[ "MIT" ]

6

2019-03-29T06:14:53.000Z

2021-10-15T23:42:36.000Z

exercises/level_0/stringing.py

eliranM98/python_course

d9431dd6c0f27fca8ca052cc2a821ed0b883136c

[ "MIT" ]

4

2019-09-06T10:03:40.000Z

2022-03-11T23:30:55.000Z

exercises/level_0/stringing.py

eliranM98/python_course

d9431dd6c0f27fca8ca052cc2a821ed0b883136c

[ "MIT" ]

12

2019-06-20T19:34:52.000Z

2021-10-15T23:42:39.000Z

text = ''' Victor Hugo's ({}) tale of injustice, heroism and love follows the fortunes of Jean Valjean, an escaped convict determined to put his criminal past behind him. But his attempts to become a respected member of the community are constantly put under threat: by his own conscience, when, owing to a case of mistaken identity, another man is arrested in his place; and by the relentless investigations of the dogged Inspector Javert. It is not simply for himself that Valjean must stay free, however, for he has sworn to protect the baby daughter of Fantine, driven to prostitution by poverty. Norman Denny's ({}) lively English translation is accompanied by an introduction discussing Hugo's political and artistic aims in writing Les Miserables. Victor Hugo (1802-85) wrote volumes of criticism, dramas, satirical verse and political journalism but is best remembered for his novels, especially Notre-Dame de Paris (also known as The Hunchback of Notre-Dame) and Les Miserables, which was adapted into one of the most successful musicals of all time. 'All human life is here' Cameron Mackintosh, producer of the musical Les Miserables 'One of the half-dozen greatest novels of the world' Upton Sinclair 'A great writer - inventive, witty, sly, innovatory' A. S. Byatt, author of Possession ''' name = 'Victor' word1 = 'writer' word2 = 'witty' numbers = "0123456789" small_letters = 'abcdefghijklmnopqrstuvwxyz' big_letters = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ' name_index = text.find(name) name_plus3 = text[name_index: name_index+len(name)+3] word1_index = text.find(word1, 0, 100) word2_index = text.find(word2, int(len(text)/2), len(text)) count_characters = text.count('of') is_text_starts_with_name = text.startswith(name) is_text_ends_with_name = text.endswith(name) text = text.format('1822-95', '1807-63') words = text.split(' ') text1 = ''.join(words) text2 = ','.join(words) text3 = '_'.join(words) text4 = ' '.join(words) text5 = text.replace('of', '@🐔') text6 = text.capitalize() text7 = text.replace('a', '') text8 = text.strip() upper_name = name.upper() lower_name = name.lower() is_name_upper = name.isupper() is_name_lower = name.islower() is_big_letters_upper = big_letters.isupper() is_small_letters_lower = small_letters.islower() stringed_integer = '90'.isnumeric() stringed_float = '90.5'.isnumeric() converted_int = int('90') converted_float = float('90.5') converted_string = str(183) is_digit = converted_string[1].isdigit() edges = small_letters[0] + big_letters[-1] body = numbers[1:-1] evens = numbers[::2] odds = numbers[1::2] print('name', name) print('word1', word1) print('word2', word2) print('numbers', numbers) print('small_letters', small_letters) print('big_letters', big_letters) print('name_index', name_index) print('name_plus3', name_plus3) print('word1_index', word1_index) print('word2_index', word2_index) print('count_characters -> \'of\' in the text', count_characters) print('is_text_starts_with_name', is_text_starts_with_name) print('is_text_ends_with_name', is_text_ends_with_name) print('\n\n\n\n\n', 'text', text, '\n\n\n\n\n') print('\n\n\n\n\n', 'words', words, '\n\n\n\n\n') print('\n\n\n\n\n', 'text1', text1, '\n\n\n\n\n') print('\n\n\n\n\n', 'text2', text2, '\n\n\n\n\n') print('\n\n\n\n\n', 'text3', text3, '\n\n\n\n\n') print('\n\n\n\n\n', 'text4', text4, '\n\n\n\n\n') print('\n\n\n\n\n', 'text5', text5, '\n\n\n\n\n') print('\n\n\n\n\n', 'text6', text6, '\n\n\n\n\n') print('\n\n\n\n\n', 'text7', text7, '\n\n\n\n\n') print('\n\n\n\n\n', 'text8', text8, '\n\n\n\n\n') print('upper_name', upper_name) print('lower_name', lower_name) print('is_name_upper', is_name_upper) print('is_name_lower', is_name_lower) print('is_big_letters_upper', is_big_letters_upper) print('is_small_letters_lower', is_small_letters_lower) print('stringed_integer', stringed_integer) print('stringed_float', stringed_float) print('converted_int', converted_int) print('converted_float', converted_float) print('converted_string', converted_string) print('is_digit', is_digit) print('edges', edges) print('body', body) print('evens', evens) print('odds', odds)

41.545455

590

0.735959

680

4,113

4.295588

0.310294

0.054776

0.061623

0.054776

0.093461

0.068127

0.046217

0

0.026237

0.110382

4,113

98

591

41.969388

0.771796

0

0.033708

0.490396

0.029176

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false

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0.438202

0

null

0

null

0

1

0

1

bce0bfd9222f594d713d4743ed32c26bb4279c4c

1,483

py

Python

check_perm.py

codecakes/random_games

1e670021ec97a196726e937e658878dc63ba9d34

[ "MIT" ]

null

check_perm.py

codecakes/random_games

1e670021ec97a196726e937e658878dc63ba9d34

[ "MIT" ]

null

check_perm.py

codecakes/random_games

1e670021ec97a196726e937e658878dc63ba9d34

[ "MIT" ]

null

""" PermCheck Check whether array A is a permutation. https://codility.com/demo/results/demoANZ7M2-GFU/ Task description A non-empty zero-indexed array A consisting of N integers is given. A permutation is a sequence containing each element from 1 to N once, and only once. For example, array A such that: A[0] = 4 A[1] = 1 A[2] = 3 A[3] = 2 is a permutation, but array A such that: A[0] = 4 A[1] = 1 A[2] = 3 is not a permutation, because value 2 is missing. The goal is to check whether array A is a permutation. Write a function: def solution(A) that, given a zero-indexed array A, returns 1 if array A is a permutation and 0 if it is not. For example, given array A such that: A[0] = 4 A[1] = 1 A[2] = 3 A[3] = 2 the function should return 1. Given array A such that: A[0] = 4 A[1] = 1 A[2] = 3 the function should return 0. Assume that: N is an integer within the range [1..100,000]; each element of array A is an integer within the range [1..1,000,000,000]. Complexity: expected worst-case time complexity is O(N); expected worst-case space complexity is O(N), beyond input storage (not counting the storage required for input arguments). Elements of input arrays can be modified. """ def solution(A): # write your code in Python 2.7 s = set(A) N_set = len(s) #O(n) N = len(A) if N != N_set: return 0 sum_N = N*(N+1)/2 #O(1) sum_A = sum(A) #O(n) return 1 if sum_N == sum_A else 0

27.981132

123

0.662171

285

1,483

3.424561

0.329825

0.061475

0.032787

0.057377

0.25

0.229508

0.110656

0

0.054916

0.238705

1,483

53

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27.981132

0.809566

0.864464

0

1

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false

0

0.25

0

null

0

1

0

null

0

1

bce207bdb62870e146b1e56a1b168c691c0515ac

4,273

py

Python

utils/scene_bounding_box.py

davidemarelli/sfm_flow

7a96d8309cc01b8499347ba0cae882923d82bbcc

[ "MIT" ]

8

2020-10-27T12:52:17.000Z

2022-03-30T04:15:37.000Z

utils/scene_bounding_box.py

ElsevierSoftwareX/SOFTX_2020_51

b240a113c91405fac60444a6e56e87e3cf17a27b

[ "MIT" ]

1

2020-11-09T01:56:04.000Z

2020-11-24T15:58:26.000Z

utils/scene_bounding_box.py

davidemarelli/sfm_flow

7a96d8309cc01b8499347ba0cae882923d82bbcc

[ "MIT" ]

2

2021-12-02T10:04:39.000Z

2022-03-28T07:54:07.000Z

import logging from typing import Tuple import bpy from mathutils import Vector from .object import get_objs logger = logging.getLogger(__name__) class SceneBoundingBox(): """Scene bounding box, build a bounding box that includes all objects except the excluded ones.""" ################################################################################################ # Properties # # ============================================================================================== @property def width(self): """Scene's bounding box width.""" return self.x_max - self.x_min # ============================================================================================== @property def depth(self): """Scene's bounding box depth.""" return self.y_max - self.y_min # ============================================================================================== @property def height(self): """Scene's bounding box height.""" return self.z_max - self.z_min # ============================================================================================== @property def floor_center(self): """Scene's bounding center on lower bbox plane.""" return Vector((self.center[0], self.center[1], self.z_min)) ################################################################################################ # Constructor # # ============================================================================================== def __init__(self, scene: bpy.types.Scene, exclude_collections: Tuple[str] = ("SfM_Environment", "SfM_Reconstructions")): self.scene = scene self.exclude_collections = exclude_collections # self.center = Vector() # type: Vector self.x_min = float("inf") # type: float self.x_max = float("-inf") # type: float self.y_min = float("inf") # type: float self.y_max = float("-inf") # type: float self.z_min = float("inf") # type: float self.z_max = float("-inf") # type: float # self.compute() ################################################################################################ # Methods # # ============================================================================================== def compute(self): """Compute the scene bounding box values.""" objs = get_objs(self.scene, exclude_collections=self.exclude_collections, mesh_only=True) logger.debug("Found %i objects in scene %s", len(objs), self.scene.name) for obj in objs: obb = obj.bound_box for i in range(8): p = obj.matrix_world @ Vector(obb[i]) self.x_min = min(self.x_min, p[0]) self.x_max = max(self.x_max, p[0]) self.y_min = min(self.y_min, p[1]) self.y_max = max(self.y_max, p[1]) self.z_min = min(self.z_min, p[2]) self.z_max = max(self.z_max, p[2]) if objs: self.center = Vector(((self.x_max + self.x_min) / 2, (self.y_max + self.y_min) / 2, (self.z_max + self.z_min) / 2)) logger.debug(str(self)) # ============================================================================================== def get_min_vector(self): """Get minimum axis.""" return Vector((self.x_min, self.y_min, self.z_min)) # ============================================================================================== def get_max_vector(self): """Get maximum axis.""" return Vector((self.x_max, self.y_max, self.z_max)) ################################################################################################ # Builtin methods # # ============================================================================================== def __str__(self): return "Scene bbox values: X=({:.3f}, {:.3f}), Y=({:.3f}, {:.3f}), Z=({:.3f}, {:.3f}), Center={}".format( self.x_min, self.x_max, self.y_min, self.y_max, self.z_min, self.z_max, self.center)

39.934579

113

0.388018

402

4,273

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0.153846

0

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4,273

106

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0

null

0

1

0

null

0

1

bce8b5c80fccdda525f4313d1b8dac7df83862d2

3,765

py

Python

scraper-code/myanimelist/base.py

XueAlfred/MALAnalysis

630d578b30f7540769774e1e4ee072d9775bf4bf

[ "MIT" ]

15

2015-01-24T10:52:42.000Z

2021-08-09T10:23:58.000Z

scraper-code/myanimelist/base.py

XueAlfred/MALAnalysis

630d578b30f7540769774e1e4ee072d9775bf4bf

[ "MIT" ]

10

2015-01-24T10:51:18.000Z

2018-09-05T00:17:03.000Z

scraper-code/myanimelist/base.py

XueAlfred/MALAnalysis

630d578b30f7540769774e1e4ee072d9775bf4bf

[ "MIT" ]

18

2015-01-24T11:29:38.000Z

2021-12-04T02:41:09.000Z

#!/usr/bin/python # -*- coding: utf-8 -*- import abc import bs4 import functools import utilities class Error(Exception): """Base exception class that takes a message to display upon raising. """ def __init__(self, message=None): """Creates an instance of Error. :type message: str :param message: A message to display when raising the exception. """ super(Error, self).__init__() self.message = message def __str__(self): return unicode(self.message) if self.message is not None else u"" class MalformedPageError(Error): """Indicates that a page on MAL has broken markup in some way. """ def __init__(self, id, html, message=None): super(MalformedPageError, self).__init__(message=message) if isinstance(id, unicode): self.id = id else: self.id = str(id).decode(u'utf-8') if isinstance(html, unicode): self.html = html else: self.html = str(html).decode(u'utf-8') def __str__(self): return "\n".join([ super(MalformedPageError, self).__str__(), "ID: " + self.id, "HTML: " + self.html ]).encode(u'utf-8') class InvalidBaseError(Error): """Indicates that the particular resource instance requested does not exist on MAL. """ def __init__(self, id, message=None): super(InvalidBaseError, self).__init__(message=message) self.id = id def __str__(self): return "\n".join([ super(InvalidBaseError, self).__str__(), "ID: " + unicode(self.id) ]) def loadable(func_name): """Decorator for getters that require a load() upon first access. :type func_name: function :param func_name: class method that requires that load() be called if the class's _attribute value is None :rtype: function :return: the decorated class method. """ def inner(func): cached_name = '_' + func.__name__ @functools.wraps(func) def _decorator(self, *args, **kwargs): if getattr(self, cached_name) is None: getattr(self, func_name)() return func(self, *args, **kwargs) return _decorator return inner class Base(object): """Abstract base class for MAL resources. Provides autoloading, auto-setting functionality for other MAL objects. """ __metaclass__ = abc.ABCMeta """Attribute name for primary reference key to this object. When an attribute by the name given by _id_attribute is passed into set(), set() doesn't prepend an underscore for load()ing. """ _id_attribute = "id" def __repr__(self): return u"".join([ "<", self.__class__.__name__, " ", self._id_attribute, ": ", unicode(getattr(self, self._id_attribute)), ">" ]) def __hash__(self): return hash('-'.join([self.__class__.__name__, unicode(getattr(self, self._id_attribute))])) def __eq__(self, other): return isinstance(other, self.__class__) and getattr(self, self._id_attribute) == getattr(other, other._id_attribute) def __ne__(self, other): return not self.__eq__(other) def __init__(self, session): """Create an instance of Base. :type session: :class:`myanimelist.session.Session` :param session: A valid MAL session. """ self.session = session @abc.abstractmethod def load(self): """A callback to run before any @loadable attributes are returned. """ pass def set(self, attr_dict): """Sets attributes of this user object. :type attr_dict: dict :param attr_dict: Parameters to set, with attribute keys. :rtype: :class:`.Base` :return: The current object. """ for key in attr_dict: if key == self._id_attribute: setattr(self, self._id_attribute, attr_dict[key]) else: setattr(self, u"_" + key, attr_dict[key]) return self

27.683824

127

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0

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3,765

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27.683824

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false

0.012987

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0.480519

0

null

0

null

0

1

0

1

bcf633a886ab43d9c3c7c35185345d3f776c81e3

4,899

py

Python

src/promnesia/sources/telegram.py

halhenke/promnesia

03f46b7e0740790ef091e6f48d0ac2e6bf05bcb7

[ "MIT" ]

1,327

2019-11-02T20:10:38.000Z

2022-03-29T16:58:36.000Z

src/promnesia/sources/telegram.py

halhenke/promnesia

03f46b7e0740790ef091e6f48d0ac2e6bf05bcb7

[ "MIT" ]

157

2019-09-06T11:16:40.000Z

2022-03-27T20:01:52.000Z

src/promnesia/sources/telegram.py

halhenke/promnesia

03f46b7e0740790ef091e6f48d0ac2e6bf05bcb7

[ "MIT" ]

60

2020-06-08T22:12:24.000Z

2022-03-22T16:57:22.000Z

''' Uses [[https://github.com/fabianonline/telegram_backup#readme][telegram_backup]] database for messages data ''' from pathlib import Path from textwrap import dedent from typing import Optional, Union, TypeVar from urllib.parse import unquote # TODO mm, make it easier to rememember to use... from ..common import PathIsh, Visit, get_logger, Loc, extract_urls, from_epoch, Results, echain # TODO potentially, belongs to my. package # TODO kython? T = TypeVar("T") def unwrap(res: Union[T, Exception]) -> T: if isinstance(res, Exception): raise res else: return res # TODO move to common? def dataset_readonly(db: Path): import dataset # type: ignore # see https://github.com/pudo/dataset/issues/136#issuecomment-128693122 import sqlite3 creator = lambda: sqlite3.connect(f'file:{db}?immutable=1', uri=True) return dataset.connect('sqlite:///' , engine_kwargs={'creator': creator}) def index(database: PathIsh, *, http_only: bool=None) -> Results: """ :param database: the path of the sqlite generated by the _telegram_backup_ java program :param http_only: when true, do not collect IP-addresses and `python.py` strings """ logger = get_logger() path = Path(database) assert path.is_file(), path # TODO could check is_file inside `dataset_readonly()` def make_query(text_query: str): extra_criteria = "AND (M.has_media == 1 OR text LIKE '%http%')" if http_only else "" return dedent( f""" WITH entities AS ( SELECT 'dialog' as type , id , coalesce(username, id) as handle , coalesce(first_name || " " || last_name , username , id ) as display_name FROM users UNION SELECT 'group' as type , id , id as handle , coalesce(name, id) as display_name FROM chats ) SELECT src.display_name AS chatname , src.handle AS chat , snd.display_name AS sender , M.time AS time , {text_query} AS text , M.id AS mid FROM messages AS M /* chat types are 'dialog' (1-1), 'group' and 'supergroup' */ /* this is abit hacky way to handle all groups in one go */ LEFT JOIN entities AS src ON M.source_id = src.id AND src.type = (CASE M.source_type WHEN 'supergroup' THEN 'group' ELSE M.source_type END) LEFT JOIN entities AS snd ON M.sender_id = snd.id AND snd.type = 'dialog' WHERE M.message_type NOT IN ('service_message', 'empty_message') {extra_criteria} ORDER BY time; """) # TODO context manager? with dataset_readonly(path) as db: # TODO yield error if chatname or chat or smth else is null? for row in db.query(make_query('M.text')): try: yield from _handle_row(row) except Exception as ex: yield echain(RuntimeError(f'While handling {row}'), ex) # , None, sys.exc_info()[2] # TODO hmm. traceback isn't preserved; wonder if that's because it's too heavy to attach to every single exception object.. # old (also 'stable') version doesn't have 'json' column yet... if 'json' in db['messages'].columns: for row in db.query(make_query("json_extract(json, '$.media.webpage.description')")): try: yield from _handle_row(row) except Exception as ex: yield echain(RuntimeError(f'While handling {row}'), ex) def _handle_row(row) -> Results: text = row['text'] if text is None: return urls = extract_urls(text) if len(urls) == 0: return dt = from_epoch(row['time']) mid: str = unwrap(row['mid']) # TODO perhaps we could be defensive with null sender/chat etc and still emit the Visit sender: str = unwrap(row['sender']) chatname: str = unwrap(row['chatname']) chat: str = unwrap(row['chat']) in_context = f'https://t.me/{chat}/{mid}' for u in urls: # https://www.reddit.com/r/Telegram/comments/6ufwi3/link_to_a_specific_message_in_a_channel_possible/ # hmm, only seems to work on mobile app, but better than nothing... yield Visit( url=unquote(u), dt=dt, context=f"{sender}: {text}", locator=Loc.make( title=f"chat with {chatname}", href=in_context, ), )

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0.013388

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0

null

0

null

0

1

0

1

bcf9e42ce187d88ea3d733bded3e343188bcd463

10,196

py

Python

daproli/transformer.py

ermshaua/daproli

c1f7aeec431d9c60ae06eeac23455c1a03bc82cf

[ "BSD-3-Clause" ]

null

daproli/transformer.py

ermshaua/daproli

c1f7aeec431d9c60ae06eeac23455c1a03bc82cf

[ "BSD-3-Clause" ]

null

daproli/transformer.py

ermshaua/daproli

c1f7aeec431d9c60ae06eeac23455c1a03bc82cf

[ "BSD-3-Clause" ]

null

from joblib import Parallel, delayed from tqdm import tqdm from .processing import map, filter, split, expand, combine, join from .manipulation import windowed, flatten class BaseTransformer: ''' The BaseTransformer defines a generic data transformation pattern that can be implemented with a number of data processing concepts. ''' def transform(self, data, *args, **kwargs): raise NotImplementedError() class Mapper(BaseTransformer): def __init__(self, func, ret_type=None, expand_args=True, n_jobs=1, verbose=0, **kwargs): ''' dp.Mapper is the respective transformer for dp.map. Parameters ----------- :param func: the mapping function :param ret_type: if provided the used return type, otherwise ret_type(data) :param expand_args: true if args should be expanded, false otherwise :param n_jobs: amount of used threads/processes :param verbose: verbosity level for tqdm / joblib :param kwargs: additional arguments for joblib.Parallel, e.g. backend='loky' ''' self.func = func self.ret_type = ret_type self.expand_args = expand_args self.n_jobs = n_jobs self.verbose = verbose self.kwargs = kwargs def transform(self, data, *args, **kwargs): return map(self.func, data, self.ret_type, expand_args=self.expand_args, n_jobs=self.n_jobs, verbose=self.verbose, **self.kwargs) class Filter(BaseTransformer): def __init__(self, pred, ret_type=None, expand_args=True, n_jobs=1, verbose=0, **kwargs): ''' dp.Filter is the respective transformer for dp.filter. Parameters ----------- :param pred: the filter predicate :param ret_type: if provided the used return type, otherwise ret_type(data) :param expand_args: true if args should be expanded, false otherwise :param n_jobs: amount of used threads/processes :param verbose: verbosity level for tqdm / joblib :param kwargs: additional arguments for joblib.Parallel, e.g. backend='loky' ''' self.pred = pred self.ret_type = ret_type self.expand_args = expand_args self.n_jobs = n_jobs self.verbose = verbose self.kwargs = kwargs def transform(self, data, *args, **kwargs): return filter(self.pred, data, ret_type=self.ret_type, expand_args=self.expand_args, n_jobs=self.n_jobs, verbose=self.verbose, **self.kwargs) class Splitter(BaseTransformer): def __init__(self, func, ret_type=None, return_labels=False, expand_args=True, n_jobs=1, verbose=0, **kwargs): ''' dp.Splitter is the respective transformer for dp.split. Parameters ----------- :param func: the discriminator function :param ret_type: if provided the used return type, otherwise ret_type(data) :param return_labels: true if the associated labels should be returned, false otherwise :param expand_args: true if args should be expanded, false otherwise :param n_jobs: amount of used threads/processes :param verbose: verbosity level for tqdm / joblib :param kwargs: additional arguments for joblib.Parallel, e.g. backend='loky' ''' self.func = func self.ret_type = ret_type self.return_labels = return_labels self.expand_args = expand_args self.n_jobs = n_jobs self.verbose = verbose self.kwargs = kwargs def transform(self, data, *args, **kwargs): return split(self.func, data, ret_type=self.ret_type, return_labels=self.return_labels, expand_args=self.expand_args, n_jobs=self.n_jobs, verbose=self.verbose, **self.kwargs) class Expander(BaseTransformer): def __init__(self, func, ret_type=None, expand_args=True, n_jobs=1, verbose=0, **kwargs): ''' dp.Expander is the respective transformer for dp.expand. Parameters ----------- :param func: the expansion function :param ret_type: if provided the used return type, otherwise ret_type(data) :param expand_args: true if args should be expanded, false otherwise :param n_jobs: amount of used threads/processes :param verbose: verbosity level for tqdm / joblib :param kwargs: additional arguments for joblib.Parallel, e.g. backend='loky' ''' self.func = func self.ret_type = ret_type self.expand_args = expand_args self.n_jobs = n_jobs self.verbose = verbose self.kwargs = kwargs def transform(self, data, *args, **kwargs): return expand(self.func, data, ret_type=self.ret_type, expand_args=self.expand_args, n_jons=self.n_jobs, verbose=self.verbose, **self.kwargs) class Combiner(BaseTransformer): def __init__(self, func, expand_args=True, n_jobs=1, verbose=0, **kwargs): ''' dp.Combiner is the respective transformer for dp.combine. Parameters ----------- :param func: the combination function :param expand_args: true if args should be expanded, false otherwise :param n_jobs: amount of used threads/processes :param verbose: verbosity level for tqdm / joblib :param kwargs: additional arguments for joblib.Parallel, e.g. backend='loky' ''' self.func = func self.expand_args = expand_args self.n_jobs = n_jobs self.verbose = verbose self.kwargs = kwargs def transform(self, data, *args, **kwargs): return combine(self.func, *data, expand_args=self.expand_args, n_jobs=self.n_jobs, verbose=self.verbose, **self.kwargs) class Joiner(BaseTransformer): def __init__(self, func, expand_args=True, n_jobs=1, verbose=0, **kwargs): ''' dp.Joiner is the respective transformer for dp.join. Parameters ----------- :param func: the join function :param expand_args: true if args should be expanded, false otherwise :param n_jobs: amount of used threads/processes :param verbose: verbosity level for tqdm / joblib :param kwargs: additional arguments for joblib.Parallel, e.g. backend='loky' ''' self.func = func self.expand_args = expand_args self.n_jobs = n_jobs self.verbose = verbose self.kwargs = kwargs def transform(self, data, *args, **kwargs): return join(self.func, *data, expand_args=self.expand_args, n_jobs=self.n_jobs, verbose=self.verbose, **self.kwargs) class Manipulator(BaseTransformer): def __init__(self, func, void=False, *args, **kwargs): ''' dp.Manipulator is a transformer to manipulate the entire collection of data items. Parameters ----------- :param func: the manipulation function :param void: if true the result is not returned :param args: additional args for func :param kwargs: additional kwargs for func ''' self.func = func self.void = void self.args = args self.kwargs = kwargs def transform(self, data, *args, **kwargs): res = self.func(data, *self.args, **self.kwargs) return res if self.void is False else data class Window(BaseTransformer): def __init__(self, size, step=1, ret_type=None): ''' dp.Window is the respective transformer for dp.windowed. Parameters ----------- :param data: an iterable collection of data :param size: the window size :param step: the window step :param ret_type: if provided the used return type, otherwise ret_type(data) ''' self.size = size self.step = step self.ret_type = ret_type def transform(self, data, *args, **kwargs): return windowed(data, self.size, step=self.step, ret_type=self.ret_type) class Flat(BaseTransformer): def __init__(self, ret_type=None): ''' dp.Flat is the respective transformer for dp.flatten. Parameters ----------- :param ret_type: if provided the used return type, otherwise ret_type(data) ''' self.ret_type = ret_type def transform(self, data, *args, **kwargs): return flatten(data, ret_type=self.ret_type) class Union(BaseTransformer): def __init__(self, *transformers, n_jobs=1, verbose=0, **kwargs): ''' dp.Union is a construct to manipulate mutli-collections of data tiems. Parameters ----------- :param transformers: the transformers for the respective collections of data items :param n_jobs: amount of used threads/processes :param verbose: verbosity level for tqdm / joblib :param kwargs: additional arguments for joblib.Parallel, e.g. backend='loky' ''' self.transformers = transformers self.n_jobs = n_jobs self.verbose = verbose self.kwargs = kwargs def transform(self, data, *args, **kwargs): if self.n_jobs == 1: return [transformer.transform(items, *args, **kwargs) for transformer, items in tqdm(zip(self.transformers, data), disable=self.verbose < 1)] return Parallel(n_jobs=self.n_jobs, verbose=self.verbose, **self.kwargs)(delayed(transformer.transform) (items, *args, **kwargs) for transformer, items in zip(self.transformers, data)) class Pipeline(BaseTransformer): def __init__(self, *transformers, verbose=0): ''' dp.Pipeline is a construct to pipe a collection of transformers. Parameters ----------- :param transformers: the transformer sequence to apply :param verbose: verbosity level for tqdm ''' self.transformers = list(transformers) self.verbose = verbose def transform(self, data, *args, **kwargs): res = data for transformer in tqdm(self.transformers, disable=self.verbose < 1): res = transformer.transform(res, *args, **kwargs) return res

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10,196

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0.455357

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null

0

null

0

1

0

1

bcfb7330e40f9b79f2ab184f143d401951828548

2,513

py

Python

tacker/sol_refactored/common/vnf_instance_utils.py

h1r0mu/tacker

8c69dda51fcfe215c4878a86b82018d2b96e5561

[ "Apache-2.0" ]

116

2015-10-18T02:57:08.000Z

2022-03-15T04:09:18.000Z

tacker/sol_refactored/common/vnf_instance_utils.py

h1r0mu/tacker

8c69dda51fcfe215c4878a86b82018d2b96e5561

[ "Apache-2.0" ]

6

2016-11-07T22:15:54.000Z

2021-05-09T06:13:08.000Z

tacker/sol_refactored/common/vnf_instance_utils.py

h1r0mu/tacker

8c69dda51fcfe215c4878a86b82018d2b96e5561

[ "Apache-2.0" ]

166

2015-10-20T15:31:52.000Z

2021-11-12T08:39:49.000Z

# Copyright (C) 2021 Nippon Telegraph and Telephone Corporation # All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. from oslo_log import log as logging from tacker.sol_refactored.common import exceptions as sol_ex from tacker.sol_refactored import objects LOG = logging.getLogger(__name__) # not used at the moment def get_inst(context, inst_id): inst = objects.VnfInstanceV2.get_by_id(context, inst_id) if inst is None: raise sol_ex.VnfInstanceNotFound(inst_id=inst_id) return inst def get_inst_all(context): return objects.VnfInstanceV2.get_all(context) def inst_href(inst_id, endpoint): return "{}/v2/vnflcm/vnf_instances/{}".format(endpoint, inst_id) def make_inst_links(inst, endpoint): links = objects.VnfInstanceV2_Links() self_href = inst_href(inst.id, endpoint) links.self = objects.Link(href=self_href) if inst.instantiationState == 'NOT_INSTANTIATED': links.instantiate = objects.Link(href=self_href + "/instantiate") else: # 'INSTANTIATED' links.terminate = objects.Link(href=self_href + "/terminate") # TODO(oda-g): add when the operation supported # links.scale = objects.Link(href = self_href + "/scale") # etc. return links # see IETF RFC 7396 def json_merge_patch(target, patch): if isinstance(patch, dict): if not isinstance(target, dict): target = {} for key, value in patch.items(): if value is None: if key in target: del target[key] else: target[key] = json_merge_patch(target.get(key), value) return target else: return patch def select_vim_info(vim_connection_info): # NOTE: It is assumed that vimConnectionInfo has only one item # at the moment. If there are multiple items, it is uncertain # which item is selected. for vim_info in vim_connection_info.values(): return vim_info

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0.024926

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0

null

0

null

0

1

0

1

4c0acd1ef9075a9d08118479182c8461e04d6e01

3,844

py

Python

texts.py

ProtKsen/pgame

c4455c6c07eaf275f9fcfa661cd6933ee7b1ff92

[ "MIT" ]

2

2021-04-14T09:49:27.000Z

2022-03-08T17:26:49.000Z

texts.py

ProtKsen/pgame

c4455c6c07eaf275f9fcfa661cd6933ee7b1ff92

[ "MIT" ]

null

texts.py

ProtKsen/pgame

c4455c6c07eaf275f9fcfa661cd6933ee7b1ff92

[ "MIT" ]

2

2021-01-11T12:09:26.000Z

2021-04-14T09:49:45.000Z

"""Text parts.""" SEPARATOR = '----------------------------------' CONT_GAME = 'enter для продолжения игры' GREETING = 'Добро пожаловать в игру ''Сундук сокровищ''!\n' \ 'Попробуй себя в роли капитана корабля, собери ' \ 'команду и достань все сокровища!' NAME_QUESTION = 'Как тебя зовут?' CHOOSE_LEVEL = 'Выбери уровень сложности, он влияет на стоимость ' \ 'сокровищ на островах. \n' \ '1 - легко \n' \ '2 - средне \n' \ '3 - тяжело' INTRODUCTION = 'В наследство от дядюшки тебе достался корабль, \n' \ 'несколько золотых монет и карта, на которой \n' \ 'отмечены 10 островов. На каждом из островов \n' \ 'зарыт клад. Но для того, чтобы достать его, \n' \ 'необходимо обезвредить ловушку. Чем больше \n' \ 'порядковый номер острова, тем ценнее хранящееся \n' \ 'на нем сокровище и тем труднее его получить. \n\n' \ 'Цель игры - добыть все сокровища и скопить как можно больше монет. \n\n' \ 'Команда твоего корабля сможет обезвредить ловушку, \n' \ 'только если будет иметь нужное количество очков \n' \ 'логики, силы и ловкости. \n\n' \ '!!! Сумма всех требуемых очков равна номеру острова,\n' \ 'но точная комбинация тебе неизвестна. !!!' ORACLE_QUESTION = 'Здесь неподалеку живет известный оракул. За определенную\n' \ 'плату он сможет предсказать с какой ловушкой\n' \ 'ты столкнешься на острове. Пойдешь ли ты к нему?\n' \ '----------------------------------\n'\ '1 - да, пойду\n' \ '2 - нет, сам разберусь' ORACLE_QUESTION_1 = 'Что ты хочешь узнать у оракула? \n' \ '----------------------------------\n'\ '1 - я передумал, буду сам себе оракул! \n'\ '2 - сколько очков логики должно быть у команды? (1 монета) \n'\ '3 - сколько очков силы должно быть у команды? (1 монета) \n'\ '4 - сколько очков ловкости должно быть у команды? (1 монета) \n'\ '5 - узнать все требуемые характеристики (3 монеты)' ORACLE_QUESTION_2 = 'Что ты хочешь узнать у оракула? \n' \ '----------------------------------\n'\ '1 - я передумал, буду сам себе оракул! \n'\ '2 - сколько очков логики должно быть у команды? (1 монета) \n'\ '3 - сколько очков силы должно быть у команды? (1 монета) \n'\ '4 - сколько очков ловкости должно быть у команды? (1 монета)' GO_TAVERN_TEXT = 'Отлично! Для похода на остров тебе понадобится \n' \ 'команда, а нанять ее ты сможешь в таверне.' EXIT_QUESTION = 'Продолжить игру?\n' \ '----------------------------------\n'\ '1 - да\n' \ '2 - нет' SUCCESS_STEP = 'Поздравляю! Ты смог достать спрятанное сокровище! \n' \ 'Самое время готовиться к следующему походу.' FAILURE_STEP = 'К сожалению, ты не смог достать сокровище. \n' \ 'Если у тебя еще остались монеты, то можешь \n' \ 'попробовать организовать поход заново. Удачи!' WINNING = 'Поздравляю! Ты собрал сокровища со всех окрестных \n' \ 'островов, можешь выкинуть ненужную теперь карту) \n' \ 'Конец игры.' LOSING = 'Сожалею, ты потратил все деньги. Карьера пиратского \n' \ 'капитана подошла к концу. А дядюшка в тебя верил! \n' \ 'Конец игры.' NAMES = ['Боб', 'Ричард', 'Алан', 'Степан', 'Грозный Глаз', 'Гарри', 'Моррис', 'Джек', 'Алекс', 'Сэм', 'Том', 'Янис', 'Геральт', 'Ринсвинд', 'Купер', 'Борис', 'Джон', 'Рон']

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false

0

null

0

1

0

null

0

1

4c1514125da0b6d26946b5990ca8e3d69b019fd3

1,369

py

Python

tests/core/feature_extraction/test_galaxyProcessor.py

EmilioCC/gti770-student-framework

3cd72da8fe78c7ecfc26c9e688cbe1b7deee353a

[ "MIT" ]

null

tests/core/feature_extraction/test_galaxyProcessor.py

EmilioCC/gti770-student-framework

3cd72da8fe78c7ecfc26c9e688cbe1b7deee353a

[ "MIT" ]

null

tests/core/feature_extraction/test_galaxyProcessor.py

EmilioCC/gti770-student-framework

3cd72da8fe78c7ecfc26c9e688cbe1b7deee353a

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- import os import numpy as np from unittest import TestCase from core.feature_extraction.galaxy.galaxy_processor import GalaxyProcessor from commons.helpers.dataset.strategies.galaxy_dataset.label_strategy import GalaxyDataSetLabelStrategy from commons.helpers.dataset.context import Context class TestGalaxyProcessor(TestCase): def setUp(self): validation_size = 0.2 # Get the ground truth CSV file from script's parameters. self.galaxy_csv_file = os.environ["VIRTUAL_ENV"] + "/data/csv/galaxy/galaxy.csv" self.galaxy_images_path = os.environ["VIRTUAL_ENV"] + "/data/images/" # Create instance of data set loading strategies. galaxy_label_data_set_strategy = GalaxyDataSetLabelStrategy() # Set the context to galaxy label data set loading strategy. context = Context(galaxy_label_data_set_strategy) context.set_strategy(galaxy_label_data_set_strategy) self.label_dataset = context.load_dataset(csv_file=self.galaxy_csv_file, one_hot=False, validation_size=np.float32(validation_size)) def testGalaxyProcessor(self): # Process galaxies. galaxy_processor = GalaxyProcessor(self.galaxy_images_path) #features = galaxy_processor.process_galaxy(self.label_dataset)

42.78125

103

0.731921

166

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5.807229

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0.062241

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1,369

32

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0.865523

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false

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null

0

null

0

1

0

1

4c155f18a1b1670b63f094d3de08857496d9f8be

1,630

py

Python

gmso/formats/formats_registry.py

chrisiacovella/gmso

c78e2425ccb98ea952f024a569346d36045f6918

[ "MIT" ]

20

2020-02-28T21:47:54.000Z

2022-02-14T20:13:56.000Z

gmso/formats/formats_registry.py

chrisiacovella/gmso

c78e2425ccb98ea952f024a569346d36045f6918

[ "MIT" ]

364

2020-03-02T16:11:57.000Z

2022-03-29T00:57:00.000Z

gmso/formats/formats_registry.py

chrisiacovella/gmso

c78e2425ccb98ea952f024a569346d36045f6918

[ "MIT" ]

28

2020-02-28T21:12:30.000Z

2022-01-31T21:02:30.000Z

"""Registry utilities to handle formats for gmso Topology.""" class UnsupportedFileFormatError(Exception): """Exception to be raised whenever the file loading or saving is not supported.""" class Registry: """A registry to incorporate a callable with a file extension.""" def __init__(self): self.handlers = {} def _assert_can_process(self, extension): if extension not in self.handlers: raise UnsupportedFileFormatError( f"Extension {extension} cannot be processed as no utility " f"is defined in the current API to handle {extension} files." ) def get_callable(self, extension): """Get the callable associated with extension.""" self._assert_can_process(extension) return self.handlers[extension] SaversRegistry = Registry() LoadersRegistry = Registry() class saves_as: """Decorator to aid saving.""" def __init__(self, *extensions): extension_set = set(extensions) self.extensions = extension_set def __call__(self, method): """Register the method as saver for an extension.""" for ext in self.extensions: SaversRegistry.handlers[ext] = method return method class loads_as: """Decorator to aid loading.""" def __init__(self, *extensions): extension_set = set(extensions) self.extensions = extension_set def __call__(self, method): """Register the method as loader for an extension.""" for ext in self.extensions: LoadersRegistry.handlers[ext] = method return method

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1

4c1e5197c84f6ae0e879e45cf958dcfad6b26bdf

7,000

py

Python

console.py

aplneto/redes_projeto

450ef8ac61e46bc38ff34142d07eda3d726ce326

[ "MIT" ]

1

2019-04-04T13:10:01.000Z

console.py

aplneto/redes_projeto

450ef8ac61e46bc38ff34142d07eda3d726ce326

[ "MIT" ]

null

console.py

aplneto/redes_projeto

450ef8ac61e46bc38ff34142d07eda3d726ce326

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """Módulo de configuração dos consoles """ from Crypto.PublicKey import RSA import socket import os import base64 class Console(object): """Superclasse Console Classe base para os terminais de cliente e servidor. Attributes: logged (bool): True caso o usuário tenha realizado o login com sucesso, False caso contrário """ def __init__(self, **kwargs): """Método construtor do console Kwargs: sock (socket): socket de comunicação key_file (str): arquivo para inicialização de par de chaves """ self.sock = kwargs.get('sock', socket.socket(socket.AF_INET, socket.SOCK_STREAM)) key_file = kwargs.get('key_file', '') if key_file: self.privatekey, self.publickey = Console.start_key(key_file) def run(self): """Método run difere entre o Console do Host e o do Client O Método run controla o comportamento do objeto como um todo. Todo o comportamento de um console individual deve ser definido dentro do método run. """ raise NotImplemented @staticmethod def start_key(key_file): """Método de inicialização das chaves Esse método inicializa a chave privada e prepara, também, a chave pública para envio. Args: key_file (str): endereço do arquivo da chave privada Returns: (tuple) uma tupla contendo um par _RSAobj (chave privada) e byte (inicializador da chave pública) """ try: keyfile = open(key_file, 'rb') except FileNotFoundError: private_key = RSA.generate(1024) else: private_key = RSA.importKey(keyfile.read()) keyfile.close() finally: public_key = private_key.publickey().exportKey() return private_key, public_key def receive_key(self): """Troca de chaves no início da comunicação Ao se conectarem, servidor e cliente trocam suas chaves públicas um com o outro. Esse método retorna um objeto do tipo RSA público a partir da chave pública recebida através de um socket. Returns: (_RSAobj) chave pública para criptografia. """ k = self.sock.recv(1024) key = RSA.importKey(k) return key def send(self, msg): """Método send envia strings simples através do socket O Método send é o método usado apara enviar mensagens simples através de um socket. Dentro desse método ocorrem as criptografias RSA e base64 antes do envio." Args: msg (str ou bytes): mensagem a ser enviada """ msg = self.encrypt(msg) self.sock.send(msg) def receive(self, b = 160): """Método receive recebe mensagens simples através do socket É através desse método que o usuário recebe mensagens simples através do socket. As mensagens chegam criptografadas e a descriptografia acontece dentro do método receive. Args: b (int): quantidade de bytes a serem recebidos Returns: (str) mensagem decifrada """ msg = self.decrypt(self.sock.recv(b)) return msg.decode('utf-8') def encrypt(self, msg): """Criptografia de uma string ou trecho de bytes Args: msg (str ou bytes): string ou bytes a serem criptografados. Returns: (bytes) segmento de bytes criptografados """ if isinstance(msg, str): msg = msg.encode('utf-8') msg = self.publickey.encrypt(msg, 3.14159265359) msg = base64.a85encode(msg[0]) return msg def decrypt(self, msg): """Método de conversão de um trecho criptografado Args: msg (bytes): trecho de mensagem a ser decifrado Returns: (bytes): trecho de bytes decifrados """ msg = base64.a85decode(msg) msg = self.privatekey.decrypt(msg) return msg def send_file(self, filename): """Rotina de envio de arquivos através de sockets Esse método controla o envio sequencial de segmentos de um arquivo através de um socket, gerando a cada envio um número inteiro referente a quantidade de bytes enviados até o momento. Método deve ser usado como um gerador. Veja exemplo abaixo. Example: for b in self.sendfile('alice.txt'): if b == -1: print("Houve um erro na transferência") else: print(str(b) + "de " str(file_size) "bytes enviados") Args: filename (str): endereço do arquivo Yields: (int) quantidade de bytes enviados ou -1, em caso de erro """ size = os.path.getsize(filename) self.send(str(size)) sent = 0 file = open(filename, 'rb') while sent < size: ack = self.receive() nxt = file.read(1024) self.sock.send(nxt) sent += len(nxt) yield sent file.close() def receive_file(self, filename): """Rotina de recebimento de arquivos através de sockets Esse método controla o recebeimendo de sementos de arquivos através de um socket. O método gera a quantidade de bytes recebidos a cada nova mensagem recebida do socket, por tanto, deve ser usado como um gerador. Example: for b in receive_file(filename): print(str(b) + " de " str(filesize) " bytes recebidos.") Args: filename(str): nome do arquivo Yields: (int) quantidade de bytes recebidos """ size = int(self.receive()) file = open(filename, 'wb') rcvd = 0 while rcvd < size: self.send('ack') nxt = self.sock.recv(1024) rcvd += len(nxt) file.write(nxt) yield rcvd file.close() def __repr__(self): return "{0}({1}, {2}, key_file = {3})".format(self.__class__.__name__, self.sock.__repr__(), self.client.__repr__(), repr(self.key_file))

32.110092

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null

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1

4c1e5c9719ab7645023165c5beb655aadf6e00c7

4,988

py

Python

sandbox/settings.py

OmenApps/marion

f501674cafbd91f0bbad7454e4dcf3527cf4445e

[ "MIT" ]

null

sandbox/settings.py

OmenApps/marion

f501674cafbd91f0bbad7454e4dcf3527cf4445e

[ "MIT" ]

null

sandbox/settings.py

OmenApps/marion

f501674cafbd91f0bbad7454e4dcf3527cf4445e

[ "MIT" ]

null

""" Django settings for marion project. """ from pathlib import Path from tempfile import mkdtemp from configurations import Configuration, values BASE_DIR = Path(__file__).parent.resolve() DATA_DIR = Path("/data") # pylint: disable=no-init class Base(Configuration): """ This is the base configuration every configuration (aka environnement) should inherit from. It is recommended to configure third-party applications by creating a configuration mixins in ./configurations and compose the Base configuration with those mixins. It depends on an environment variable that SHOULD be defined: * DJANGO_SECRET_KEY You may also want to override default configuration by setting the following environment variables: * DB_NAME * DB_HOST * DB_PASSWORD * DB_USER """ DEBUG = False # Security ALLOWED_HOSTS = [] SECRET_KEY = values.Value(None) # SECURE_PROXY_SSL_HEADER allows to fix the scheme in Django's HttpRequest # object when you application is behind a reverse proxy. # # Keep this SECURE_PROXY_SSL_HEADER configuration only if : # - your Django app is behind a proxy. # - your proxy strips the X-Forwarded-Proto header from all incoming requests # - Your proxy sets the X-Forwarded-Proto header and sends it to Django # # In other cases, you should comment the following line to avoid security issues. SECURE_PROXY_SSL_HEADER = ("HTTP_X_FORWARDED_PROTO", "https") AUTH_PASSWORD_VALIDATORS = [ { "NAME": ( "django.contrib.auth.password_validation." "UserAttributeSimilarityValidator" ), }, {"NAME": "django.contrib.auth.password_validation.MinimumLengthValidator"}, {"NAME": "django.contrib.auth.password_validation.CommonPasswordValidator"}, {"NAME": "django.contrib.auth.password_validation.NumericPasswordValidator"}, ] # Application ROOT_URLCONF = "urls" WSGI_APPLICATION = "wsgi.application" # Database DATABASES = { "default": { "ENGINE": values.Value( "django.db.backends.postgresql_psycopg2", environ_name="DB_ENGINE", environ_prefix=None, ), "NAME": values.Value("marion", environ_name="DB_NAME", environ_prefix=None), "USER": values.Value("fun", environ_name="DB_USER", environ_prefix=None), "PASSWORD": values.Value( "pass", environ_name="DB_PASSWORD", environ_prefix=None ), "HOST": values.Value( "localhost", environ_name="DB_HOST", environ_prefix=None ), "PORT": values.Value(5432, environ_name="DB_PORT", environ_prefix=None), } } # Static files (CSS, JavaScript, Images) STATIC_URL = "/static/" STATIC_ROOT = DATA_DIR.joinpath("static") MEDIA_URL = "/media/" MEDIA_ROOT = DATA_DIR.joinpath("media") # Internationalization LANGUAGE_CODE = "en-us" TIME_ZONE = "UTC" USE_I18N = True USE_L10N = True USE_TZ = True # Application definition INSTALLED_APPS = [ "django.contrib.admin", "django.contrib.auth", "django.contrib.contenttypes", "django.contrib.sessions", "django.contrib.messages", "django.contrib.staticfiles", "rest_framework", "marion", ] MIDDLEWARE = [ "django.middleware.security.SecurityMiddleware", "django.contrib.sessions.middleware.SessionMiddleware", "django.middleware.common.CommonMiddleware", "django.middleware.csrf.CsrfViewMiddleware", "django.contrib.auth.middleware.AuthenticationMiddleware", "django.contrib.messages.middleware.MessageMiddleware", "django.middleware.clickjacking.XFrameOptionsMiddleware", ] TEMPLATES = [ { "BACKEND": "django.template.backends.django.DjangoTemplates", "DIRS": [], "APP_DIRS": True, "OPTIONS": { "context_processors": [ "django.template.context_processors.debug", "django.template.context_processors.request", "django.contrib.auth.context_processors.auth", "django.contrib.messages.context_processors.messages", ], }, }, ] class Development(Base): """ Development environment settings We set DEBUG to True and configure the server to respond from all hosts. """ DEBUG = True ALLOWED_HOSTS = ["*"] ROOT_URLCONF = "urls.debug" # Application definition INSTALLED_APPS = Base.INSTALLED_APPS + [ "howard", ] MARION_DOCUMENT_ISSUER_CHOICES_CLASS = "howard.defaults.DocumentIssuerChoices" class Test(Base): """Test environment settings""" MEDIA_ROOT = Path(mkdtemp()) ROOT_URLCONF = "urls.debug"

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