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Why do std::shared_ptr work

I found some code using std::shared_ptr to perform arbitrary cleanup at shutdown. At first I thought this code could not possibly work, but then I tried the following: ...
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What is LINQ and what does it do? [closed]

... Jeffrey HantinJeffrey Hantin 32.7k77 gold badges6868 silver badges8989 bronze badges add a...
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Python Logging (function name, file name, line number) using a single file

... Piotr Dobrogost 36.5k3232 gold badges209209 silver badges336336 bronze badges answered Nov 21 '13 at 4:28 synthesizerpatel...
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How to rename items in values() in Django?

...000/svg\"\u003e\u003cpath d=\"M46.1709 9.17788C46.1709 8.26454 46.2665 7.94324 47.1084 7.58816C47.4091 7.46349 47.7169 7.36433 48.0099 7.26993C48.9099 6.97997 49.672 6.73443 49.672 5.93063C49.672 5.22043 48.9832 4.61182 48.1414 4.61182C47.4335 4.61182 46.7256 4.91628 46.0943 5.50789C45.7307 4.9328 4...
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How to add target=“_blank” to JavaScript window.location?

...000/svg\"\u003e\u003cpath d=\"M46.1709 9.17788C46.1709 8.26454 46.2665 7.94324 47.1084 7.58816C47.4091 7.46349 47.7169 7.36433 48.0099 7.26993C48.9099 6.97997 49.672 6.73443 49.672 5.93063C49.672 5.22043 48.9832 4.61182 48.1414 4.61182C47.4335 4.61182 46.7256 4.91628 46.0943 5.50789C45.7307 4.9328 4...
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The new syntax “= default” in C++11

... answered Jul 5 '19 at 3:32 SlavenskijSlavenskij 37133 silver badges1111 bronze badges ...
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Python integer division yields float

...onas Byström 21k2121 gold badges8383 silver badges132132 bronze badges 5 ...
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How to uninstall the “Microsoft Advertising SDK” Visual Studio extension?

... Run the following from an elevated Powershell prompt: gwmi Win32_Product -Filter "Name LIKE 'Microsoft Advertising%'" And it should show the culprits: IdentifyingNumber : {6AB13C21-C3EC-46E1-8009-6FD5EBEE515B} Name : Microsoft Advertising SDK for Windows 8.1 - ENU Vendor...
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How to check a string for specific characters?

... dappawitdappawit 9,99322 gold badges2828 silver badges2525 bronze badges ...
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Creating an empty Pandas DataFrame, then filling it?

... Here's a couple of suggestions: Use date_range for the index: import datetime import pandas as pd import numpy as np todays_date = datetime.datetime.now().date() index = pd.date_range(todays_date-datetime.timedelta(10), periods=10, freq='D') columns = ['A','B', ...