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Merge pull request #101 from EMI-Group/weblate-translation
Translations update from Hosted Weblate
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@@ -8,8 +8,8 @@ msgstr "" | |
"Project-Id-Version: EvoX\n" | ||
"Report-Msgid-Bugs-To: \n" | ||
"POT-Creation-Date: 1980-01-01 00:00+0000\n" | ||
"PO-Revision-Date: 2024-01-12 03:13+0000\n" | ||
"Last-Translator: Xinyao Li <[email protected]>\n" | ||
"PO-Revision-Date: 2024-01-13 06:06+0000\n" | ||
"Last-Translator: ZackYu <[email protected]>\n" | ||
"Language-Team: Chinese (Simplified) <https://hosted.weblate.org/projects/" | ||
"evox/evox/zh_Hans/>\n" | ||
"Language: zh\n" | ||
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@@ -1069,7 +1069,7 @@ msgstr "MOEA/D-M2M" | |
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||
#: evox.algorithms.mo.moeadm2m.MOEADM2M:2 of | ||
msgid "MOEA/D based on MOP to MOP algorithm" | ||
msgstr "" | ||
msgstr "MOEA/D M2M 算法" | ||
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||
#: evox.algorithms.mo.moeadm2m.MOEADM2M:4 of | ||
msgid "link: https://ieeexplore.ieee.org/abstract/document/6595549" | ||
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@@ -1309,7 +1309,7 @@ msgstr "" | |
|
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#: ../../source/api/algorithms/so/persistent_es.rst:3 | ||
msgid "PersistentES" | ||
msgstr "" | ||
msgstr "PersistentES" | ||
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#: ../../source/api/algorithms/so/pgpe.rst:3 | ||
msgid "PGPE" | ||
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@@ -1339,7 +1339,7 @@ msgstr "" | |
|
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#: ../../source/api/algorithms/so/shade.rst:3 | ||
msgid "SHADE" | ||
msgstr "" | ||
msgstr "SHADE" | ||
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||
#: evox.algorithms.so.de_variants.shade.SHADE:2 of | ||
msgid "" | ||
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@@ -1353,15 +1353,15 @@ msgstr "" | |
|
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#: ../../source/api/algorithms/so/sl_pso_gs.rst:3 | ||
msgid "SL-PSO-GS" | ||
msgstr "" | ||
msgstr "SL-PSO-GS" | ||
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#: ../../source/api/algorithms/so/sl_pso_us.rst:3 | ||
msgid "SL-PSO-US" | ||
msgstr "" | ||
msgstr "SL-PSO-US" | ||
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||
#: ../../source/api/algorithms/so/snes.rst:3 | ||
msgid "SNES" | ||
msgstr "" | ||
msgstr "SNES" | ||
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||
#: ../../source/api/algorithms/so/swmmpso.rst:3 | ||
msgid "SWMMPSO" | ||
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@@ -1373,11 +1373,11 @@ msgstr "算法类" | |
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#: evox.core.algorithm.Algorithm:2 evox.core.problem.Problem:2 of | ||
msgid "Base class for all algorithms" | ||
msgstr "" | ||
msgstr "所有算法的基类" | ||
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#: ../../source/api/core/index.rst:3 | ||
msgid "Core Classes" | ||
msgstr "" | ||
msgstr "核心类" | ||
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#: ../../source/api/core/module.rst:3 | ||
msgid "Module Class" | ||
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@@ -1418,7 +1418,7 @@ msgstr "在给定点评估适应度" | |
#: evox.problems.neuroevolution.reinforcement_learning.gym.Gym.evaluate:-1 | ||
#: evox.problems.neuroevolution.reinforcement_learning.gym.Gym.evaluate:16 of | ||
msgid "dict" | ||
msgstr "" | ||
msgstr "字典" | ||
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#: evox.core.problem.Problem.evaluate:8 | ||
#: evox.problems.neuroevolution.reinforcement_learning.gym.Gym.evaluate:8 of | ||
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@@ -1428,13 +1428,13 @@ msgstr "这个问题的状态。" | |
#: evox.core.problem.Problem.evaluate:11 | ||
#: evox.problems.neuroevolution.reinforcement_learning.gym.Gym.evaluate:11 of | ||
msgid "**X**" | ||
msgstr "" | ||
msgstr "**X**" | ||
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||
#: evox.core.problem.Problem.evaluate:-1 evox.core.problem.Problem.evaluate:31 | ||
#: evox.problems.neuroevolution.reinforcement_learning.gym.Gym.evaluate:-1 | ||
#: evox.problems.neuroevolution.reinforcement_learning.gym.Gym.evaluate:31 of | ||
msgid "ndarray" | ||
msgstr "" | ||
msgstr "ndarray" | ||
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||
#: evox.core.problem.Problem.evaluate:11 | ||
#: evox.problems.neuroevolution.reinforcement_learning.gym.Gym.evaluate:11 of | ||
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@@ -1505,10 +1505,15 @@ msgid "" | |
"the reference point. Since reference point is often far from pf, " | ||
"`bounding_cube` method usually gives more accurate result." | ||
msgstr "" | ||
"超体积指标,使用蒙特卡洛方法实现。我们提供两种不同的样本方法:`bounding_cube`" | ||
" 和 `each_cube`。使用 `bounding_cube` " | ||
"方法,我们从一个可以包围所有目标的超立方体中抽取样本。使用 `each_cube` 方法," | ||
"我们从由每个目标和参考点形成的每个超立方体中抽取样本。由于参考点通常远离帕雷" | ||
"托前沿(pf),`bounding_cube`方法通常能提供更准确的结果。" | ||
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||
#: evox.metrics.hypervolume.HV.__init__:8 of | ||
msgid "**ref**" | ||
msgstr "" | ||
msgstr "**ref**" | ||
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#: evox.metrics.hypervolume.HV.__init__:8 of | ||
msgid "The reference point." | ||
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@@ -1524,11 +1529,11 @@ msgstr "在使用蒙特卡洛方法的时候样本的数量。" | |
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#: evox.metrics.hypervolume.HV.__init__:28 of | ||
msgid "**sample_method**" | ||
msgstr "" | ||
msgstr "**sample_method**" | ||
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#: evox.metrics.hypervolume.HV.__init__:14 of | ||
msgid "`bounding_cube` or `each_cube`. Default to `bounding_cube`." | ||
msgstr "" | ||
msgstr "`bounding_cube` 或 `each_cube`. 默认为 `bounding_cube`." | ||
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#: ../../source/api/metrics/igd.rst:3 | ||
msgid "Inverted Generational Distance" | ||
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@@ -1548,60 +1553,72 @@ msgid "" | |
"used in EvoXVis. The tensors are stored as fixed size binary and the dtype " | ||
"is recorded in the metadata." | ||
msgstr "" | ||
"这个类将数据序列化为可以在EvoXVis中提取和使用的apache " | ||
"arrow格式。张量被存储为固定大小的二进制,并且数据类型被记录在元数据中。" | ||
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#: evox.monitors.evoxvis_monitor.EvoXVisMonitor.__init__:10 of | ||
msgid "**base_filename**" | ||
msgstr "" | ||
msgstr "**base_filename**" | ||
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#: evox.monitors.evoxvis_monitor.EvoXVisMonitor.__init__:8 of | ||
msgid "" | ||
"The base filename of the log file, the final filename will be " | ||
"``<base_filename>_<i>.arrow``, where i is an incrementing number." | ||
msgstr "" | ||
msgstr "日志文件的基本文件名,最终文件名将是``<base_filename>_<i>." | ||
"arrow``,其中i是递增的数字。" | ||
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#: evox.monitors.evoxvis_monitor.EvoXVisMonitor.__init__:17 of | ||
msgid "**out_dir**" | ||
msgstr "" | ||
msgstr "**out_dir**" | ||
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#: evox.monitors.evoxvis_monitor.EvoXVisMonitor.__init__:13 of | ||
msgid "" | ||
"This directory to write the log file into. When set to None, the default " | ||
"directory will be used. The default is ``<TEMP_DIR>/evox``, on Windows, it's " | ||
"usually ``C:\\TEMP\\evox``, and on MacOS/Linux/BSDs it's ``/tmp/evox``." | ||
msgstr "" | ||
"将日志文件写入的目录。当设置为None时,将使用默认目录。默认为``<TEMP_DIR>/evox" | ||
"``,在Windows上通常为``C:\\temp\\evox``,在MacOS/Linux/BSD上为``/tMP/" | ||
"evox``。" | ||
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#: evox.monitors.evoxvis_monitor.EvoXVisMonitor.__init__:22 of | ||
msgid "**out_type**" | ||
msgstr "" | ||
msgstr "**out_type**" | ||
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#: evox.monitors.evoxvis_monitor.EvoXVisMonitor.__init__:20 of | ||
msgid "" | ||
"\"stream\" or \"file\", For more information, please refer to https://arrow." | ||
"apache.org/docs/python/ipc.html" | ||
msgstr "" | ||
"\"stream\" 或\"file\",更多信息,请参考 https://arrow.apache.org/docs/python/" | ||
"ipc.html" | ||
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#: evox.monitors.evoxvis_monitor.EvoXVisMonitor.__init__:29 | ||
#: evox.problems.neuroevolution.reinforcement_learning.brax.Brax.__init__:16 of | ||
msgid "**batch_size**" | ||
msgstr "" | ||
msgstr "**batch_size**" | ||
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#: evox.monitors.evoxvis_monitor.EvoXVisMonitor.__init__:25 of | ||
msgid "" | ||
"The monitor will buffer the data in memory and write out every `batch size`. " | ||
"Choose a larger value may improve I/O performance and improve compression " | ||
"ratio, if compression is enabled. Default to 64." | ||
msgstr "" | ||
msgstr "监控器会将数据缓存在内存中,并写出每个`batch " | ||
"size`。如果启用了压缩,则选择较大的值可能会提高I/" | ||
"O性能并提高压缩比。默认为64。" | ||
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#: evox.monitors.evoxvis_monitor.EvoXVisMonitor.__init__:48 of | ||
msgid "**compression**" | ||
msgstr "" | ||
msgstr "**compression**" | ||
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#: evox.monitors.evoxvis_monitor.EvoXVisMonitor.__init__:32 of | ||
msgid "" | ||
"Controls the compression algorithm used when writing to the file. Available " | ||
"options are None, \"lz4\", \"zstd\", \"lz4\" is extremely fast, with poor " | ||
"compression ratio, \"zstd\" is fast, but also with good compression ratio." | ||
msgstr "" | ||
"控制写入文件时使用的压缩算法。可供选择的有None、“lz4”、“zstd”,“lz4”速度极快" | ||
",压缩比差,“zstd”速度快,同时压缩比也很好。" | ||
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#: ../../source/api/monitors/index.rst:3 | ||
msgid "Monitors" | ||
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@@ -1619,46 +1636,48 @@ msgstr "标准多目标监视器,用于多目标工作流,可以监控适应 | |
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#: evox.monitors.std_mo_monitor.StdMOMonitor:14 of | ||
msgid "**record_pf**" | ||
msgstr "" | ||
msgstr "**record_pf**" | ||
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#: evox.monitors.std_mo_monitor.StdMOMonitor:10 of | ||
msgid "" | ||
"Whether to record the pareto front during the run. Default to False. Setting " | ||
"it to True will cause the monitor to maintain a pareto front of all the " | ||
"solutions with unlimited size, which may hurt performance." | ||
msgstr "" | ||
"是否在运行过程中记录帕累托前沿。默认值为假(False)。将其设置为真(True)将导" | ||
"致监视器维护一个无限大小的所有解决方案的帕累托前沿,这可能会影响性能。" | ||
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#: evox.monitors.std_mo_monitor.StdMOMonitor:31 | ||
#: evox.monitors.std_so_monitor.StdSOMonitor:28 of | ||
msgid "**record_fit_history**" | ||
msgstr "" | ||
msgstr "**record_fit_history**" | ||
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#: evox.monitors.std_mo_monitor.StdMOMonitor:17 | ||
#: evox.monitors.std_so_monitor.StdSOMonitor:14 of | ||
msgid "" | ||
"Whether to record the full history of fitness value. Default to True. " | ||
"Setting it to False may reduce memory usage." | ||
msgstr "" | ||
msgstr "是否记录适应度值的完整历史。默认为True。将其设置为FALSE可能会减少内存使用。" | ||
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#: ../../source/api/monitors/std_so.rst:3 | ||
msgid "Standard Single-objective Monitor" | ||
msgstr "" | ||
msgstr "标准单目标监视器" | ||
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#: evox.monitors.std_so_monitor.StdSOMonitor:2 of | ||
msgid "" | ||
"Standard single-objective monitor Used for single-objective workflow, can " | ||
"monitor fitness and the population." | ||
msgstr "" | ||
msgstr "标准单目标监控器 用于单目标工作流,可以监控适应度和种群。" | ||
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#: evox.monitors.std_so_monitor.StdSOMonitor:11 of | ||
msgid "**record_topk**" | ||
msgstr "" | ||
msgstr "**record_topk**" | ||
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#: evox.monitors.std_so_monitor.StdSOMonitor:10 of | ||
msgid "" | ||
"Control how many elite solutions are recorded. Default is 1, which will " | ||
"record the best individual." | ||
msgstr "" | ||
msgstr "控制录制多少精英解决方案。默认为1,它将记录最好的个体。" | ||
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#: ../../source/api/problems/index.rst:3 | ||
msgid "Problems" | ||
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@@ -1675,75 +1694,76 @@ msgstr "神经演化" | |
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#: ../../source/api/problems/neuroevolution/reinforcement_learning/brax.rst:3 | ||
msgid "Brax-based Problem" | ||
msgstr "" | ||
msgstr "基于Brax的问题" | ||
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#: evox.problems.neuroevolution.reinforcement_learning.brax.Brax.__init__:2 of | ||
msgid "Contruct a brax-based problem" | ||
msgstr "" | ||
msgstr "构造一个基于Brax的问题" | ||
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#: evox.problems.neuroevolution.reinforcement_learning.brax.Brax.__init__:9 | ||
#: evox.problems.neuroevolution.reinforcement_learning.gym.Gym.__init__:9 of | ||
msgid "**policy**" | ||
msgstr "" | ||
msgstr "**策略**" | ||
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#: evox.problems.neuroevolution.reinforcement_learning.brax.Brax.__init__:8 | ||
#: evox.problems.neuroevolution.reinforcement_learning.gym.Gym.__init__:8 of | ||
msgid "" | ||
"A function that accept two arguments the first one is the parameter and the " | ||
"second is the input." | ||
msgstr "" | ||
msgstr "一个接受两个参数的函数,第一个参数是参数本身,第二个是输入。" | ||
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#: evox.problems.neuroevolution.reinforcement_learning.brax.Brax.__init__:12 | ||
#: evox.problems.neuroevolution.reinforcement_learning.gym.Gym.__init__:15 of | ||
#: evox.problems.neuroevolution.reinforcement_learning.gym.Gym.__init__:18 | ||
msgid "**env_name**" | ||
msgstr "" | ||
msgstr "**env_name**" | ||
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#: evox.problems.neuroevolution.reinforcement_learning.brax.Brax.__init__:12 of | ||
msgid "The environment name." | ||
msgstr "" | ||
msgstr "环境名。" | ||
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#: evox.problems.neuroevolution.reinforcement_learning.brax.Brax.__init__:15 of | ||
msgid "" | ||
"The number of brax environments to run in parallel. Usually this should " | ||
"match the population size at the algorithm side." | ||
msgstr "" | ||
msgstr "要并行运行的BRAX环境的数量。通常,这应该与算法端的种群大小相匹配。" | ||
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#: evox.problems.neuroevolution.reinforcement_learning.brax.Brax.__init__:19 of | ||
msgid "**cap_episode**" | ||
msgstr "" | ||
msgstr "**cap_episode**" | ||
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#: evox.problems.neuroevolution.reinforcement_learning.brax.Brax.__init__:19 of | ||
msgid "The maximum number episodes to run." | ||
msgstr "" | ||
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#: evox.problems.neuroevolution.reinforcement_learning.brax.Brax.__init__:36 of | ||
msgid "**backend**" | ||
msgstr "" | ||
msgstr "**后端**" | ||
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#: evox.problems.neuroevolution.reinforcement_learning.brax.Brax.__init__:22 of | ||
msgid "" | ||
"Brax's backend, one of \"generalized\", \"positional\", \"spring\". Default " | ||
"to \"generalized\"." | ||
msgstr "" | ||
msgstr "Brax的后端,是“generalized”、“positional”、“spring”中的其中一个。默认为“gener" | ||
"alized”。" | ||
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#: ../../source/api/problems/neuroevolution/reinforcement_learning/env_pool.rst:3 | ||
msgid "Env Pool" | ||
msgstr "" | ||
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#: ../../source/api/problems/neuroevolution/reinforcement_learning/gym.rst:3 | ||
msgid "Gym" | ||
msgstr "" | ||
msgstr "Gym" | ||
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#: evox.problems.neuroevolution.reinforcement_learning.gym.Gym.__init__:2 of | ||
msgid "Construct a gym problem" | ||
msgstr "" | ||
msgstr "构建一个gym 问题" | ||
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#: evox.problems.neuroevolution.reinforcement_learning.gym.Gym.__init__:12 | ||
#: evox.workflows.distributed.RayDistributedWorkflow.__init__:22 of | ||
#: evox.workflows.distributed.RayDistributedWorkflow.__init__:26 | ||
msgid "**num_workers**" | ||
msgstr "" | ||
msgstr "**num_workers**" | ||
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#: evox.problems.neuroevolution.reinforcement_learning.gym.Gym.__init__:12 of | ||
msgid "Number of worker actors." | ||
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@@ -1752,17 +1772,17 @@ msgstr "" | |
#: evox.problems.neuroevolution.reinforcement_learning.gym.Gym.__init__:15 of | ||
#: evox.problems.neuroevolution.reinforcement_learning.gym.Gym.__init__:18 | ||
msgid "The name of the gym environment." | ||
msgstr "" | ||
msgstr "Gym环境的名称。" | ||
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#: evox.problems.neuroevolution.reinforcement_learning.gym.Gym.__init__:18 of | ||
#: evox.problems.neuroevolution.reinforcement_learning.gym.Gym.__init__:21 | ||
msgid "**env_options**" | ||
msgstr "" | ||
msgstr "**env_options**" | ||
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#: evox.problems.neuroevolution.reinforcement_learning.gym.Gym.__init__:18 of | ||
#: evox.problems.neuroevolution.reinforcement_learning.gym.Gym.__init__:21 | ||
msgid "The options of the gym environment." | ||
msgstr "" | ||
msgstr "gym 环境的选项。" | ||
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#: evox.problems.neuroevolution.reinforcement_learning.gym.Gym.__init__:21 of | ||
#: evox.problems.neuroevolution.reinforcement_learning.gym.Gym.__init__:24 | ||
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@@ -1772,7 +1792,7 @@ msgstr "" | |
#: evox.problems.neuroevolution.reinforcement_learning.gym.Gym.__init__:21 of | ||
#: evox.problems.neuroevolution.reinforcement_learning.gym.Gym.__init__:24 | ||
msgid "A function with zero argument that returns an environment when called." | ||
msgstr "" | ||
msgstr "一个调用时返回一个环境的零参数函数。" | ||
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#: evox.problems.neuroevolution.reinforcement_learning.gym.Gym.__init__:28 of | ||
#: evox.problems.neuroevolution.reinforcement_learning.gym.Gym.__init__:31 | ||
|