collections.abc.Iterable[conda.plugins.types.CondaSolver] Register solvers in conda. Example: .. code-block:: python import logging from conda import plugins from conda.core import solve log = logging.getLogger(__name__) Iterable[conda.plugins.types.CondaSubcommand] Register external subcommands in conda. Example: .. code-block:: python from conda import plugins def example_command(args): print("This is an example command Iterable[conda.plugins.types.CondaVirtualPackage] Register virtual packages in Conda. Example: .. code-block:: python from conda import plugins @plugins.hookimpl def conda_virtual_packages(): yield plugins

variable list. (#10665) • Improve CLI warning about updating conda. (#11300) • Conda’s initialize block in the user’s profiles will check whether the conda executable exists before calling the conda hook d scripts (#8464) • Fix usage of deprecated collections ABCs (#) • fix tcsh/csh initialization block (#8591) • fix missing CWD display in powershell prompt (#8596) • wrap_subprocess_call: fallback better use of sphinx admonitions (notes, warnings) for better accentuation in docs (#8348) • improve skipping CI builds when only docs changes are involved (#8336) 7.43.3 Contributors • @albertmichaelj •

use the with statement. For example, the following code will automatically close f when the with block is exited: from __future__ import with_statement # This isn't required in Python 2.6 with open("hello 如果你只对两个序列相匹配的位置感兴趣，则 get_matching_blocks() 就很方便： >>> for block in s.get_matching_blocks(): ... print "a[%d] and b[%d] match for %d elements" % block a[0] and b[0] match for 8 elements a[8] and b[17] match sets the upperbound limit on the number of items that can be placed in the queue. Insertion will block once this size has been reached, until queue items are consumed. If maxsize is less than or equal

use the with statement. For example, the following code will automatically close f when the with block is exited: from __future__ import with_statement # This isn't required in Python 2.6 with open("hello 如果你只对两个序列相匹配的位置感兴趣，则 get_matching_blocks() 就很方便： >>> for block in s.get_matching_blocks(): ... print "a[%d] and b[%d] match for %d elements" % block a[0] and b[0] match for 8 elements a[8] and b[17] match sets the upperbound limit on the number of items that can be placed in the queue. Insertion will block once this size has been reached, until queue items are consumed. If maxsize is less than or equal

use the with statement. For example, the following code will automatically close f when the with block is exited: from __future__ import with_statement # This isn't required in Python 2.6 with open("hello 如果你只对两个序列相匹配的位置感兴趣，则 get_matching_blocks() 就很方便： >>> for block in s.get_matching_blocks(): ... print "a[%d] and b[%d] match for %d elements" % block a[0] and b[0] match for 8 elements a[8] and b[17] match sets the upperbound limit on the number of items that can be placed in the queue. Insertion will block once this size has been reached, until queue items are consumed. If maxsize is less than or equal

#53040 @RidRisR 55 • Except for the br log restore subcommand, all other br log subcommands support skipping the loading of the TiDB domain data structure to reduce memory consumption #52088 @Leavrth • Support behavior changes in MySQL compatibility mode, where there is no shared allocator and therefore no skipping of numbers. Note: The AUTO_INCREMENT attribute might cause hotspot in production environ- ments the query performance. In TiDB, creating a secondary index is an online operation, which does not block any data read and write operations on a table. For each index, TiDB creates references for each row

Negative leap seconds: A second is removed, so the seconds on a UTC clock might read 57, 58, 00 (skipping over second 59). No leap second removals have occurred yet, but they theoretically could. daylight saving time transition when an extra hour is inserted. When that happens, that one-hour block essentially happens twice. • If the local_time to be converted occurs in that period of time, there

behavior changes in MySQL compatibility mode, where there is no shared allocator and therefore no skipping of numbers. Note: The AUTO_INCREMENT attribute might cause hotspot in production environ- ments the query performance. In TiDB, creating a secondary index is an online operation, which does not block any data read and write operations on a table. For each index, TiDB creates references for each row this SQL statement. First, check out the books written by the author (ID is 2299112019) in the CTE block books_authored_by_rm. Then find the average rating and order for these books respectively in book

behavior changes in MySQL compatibility mode, where there is no shared allocator and therefore no skipping of numbers. Note: The AUTO_INCREMENT attribute might cause hotspot in production environ- ments the query performance. In TiDB, creating a secondary index is an online operation, which does not block any data read and write operations on a table. For each index, TiDB creates references for each row this SQL statement. First, check out the books written by the author (ID is 2299112019) in the CTE block books_authored_by_rm. Then find the average rating and order for these books respectively in book

behavior changes in MySQL compatibility mode, where there is no shared allocator and therefore no skipping of numbers. Note: The AUTO_INCREMENT attribute might cause hotspot in production environ- ments the query performance. In TiDB, creating a secondary index is an online operation, which does not block any data read and write operations on a table. For each index, TiDB creates references for each row this SQL statement. First, check out the books written by the author (ID is 2299112019) in the CTE block books_authored_by_rm. Then find the average rating and order for these books respectively in book