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src/main/webapp/css/bootstrap.min.css.map
Inc.\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)\n */\n:root {\n --blue: #007bff;\n --indigo: #6610f2;\n --purple: #6f42c1;\n --pink: #e83e8c;\n --red: #dc3545;\n --orange: #fd7e14;\n --yellow: #ffc107;\n --green: #28a745;\n --teal: #20c997;\n --cyan: #17a2b8;\n --white: #fff;\n --gray: #6c757d;\n --gray-dark: #343a40;\n --primary: #007bff;\n --secondary: #6c757d;\n --success: #28a745;\n --info: #17a2b8;\n --warning: #ffc107;\n --danger: #dc3545;\n...
Registered: Thu Oct 31 13:40:30 UTC 2024 - Last Modified: Thu Feb 13 04:21:06 UTC 2020 - 626.8K bytes - Viewed (0) -
src/main/webapp/css/admin/bootstrap.min.css.map
Inc.\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n */\n:root {\n --blue: #007bff;\n --indigo: #6610f2;\n --purple: #6f42c1;\n --pink: #e83e8c;\n --red: #dc3545;\n --orange: #fd7e14;\n --yellow: #ffc107;\n --green: #28a745;\n --teal: #20c997;\n --cyan: #17a2b8;\n --white: #fff;\n --gray: #6c757d;\n --gray-dark: #343a40;\n --primary: #007bff;\n --secondary: #6c757d;\n --success: #28a745;\n --info: #17a2b8;\n --warning: #ffc107;\n --danger: #dc3545;\n...
Registered: Thu Oct 31 13:40:30 UTC 2024 - Last Modified: Sat Oct 26 01:49:09 UTC 2024 - 639.3K bytes - Viewed (0) -
docs/en/docs/release-notes.md
* 💡 Add comment about custom Termynal line-height. PR [#11976](https://github.com/fastapi/fastapi/pull/11976) by [@tiangolo](https://github.com/tiangolo). * 👷 Add alls-green for test-redistribute. PR [#11974](https://github.com/fastapi/fastapi/pull/11974) by [@tiangolo](https://github.com/tiangolo).
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Fri Nov 01 11:25:57 UTC 2024 - 460.3K bytes - Viewed (0) -
RELEASE.md
* Distribution Strategy: TF 2.0 users will be able to use the [`tf.distribute.Strategy`](https://www.tensorflow.org/beta/guide/distribute_strategy) API to distribute training with minimal code changes, yielding great out-of-the-box performance. It supports distributed training with Keras model.fit, as well as with custom training loops. Multi-GPU support is
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Tue Oct 22 14:33:53 UTC 2024 - 735.3K bytes - Viewed (0) -
api/go1.txt
pkg unicode, var Georgian *RangeTable pkg unicode, var Glagolitic *RangeTable pkg unicode, var Gothic *RangeTable pkg unicode, var GraphicRanges []*RangeTable pkg unicode, var Greek *RangeTable pkg unicode, var Gujarati *RangeTable pkg unicode, var Gurmukhi *RangeTable pkg unicode, var Han *RangeTable pkg unicode, var Hangul *RangeTable pkg unicode, var Hanunoo *RangeTable
Registered: Tue Nov 05 11:13:11 UTC 2024 - Last Modified: Wed Aug 14 18:58:28 UTC 2013 - 1.7M bytes - Viewed (0)