| Name | MLRsearch JSON |
| Version |
1.2.1
JSON |
| download |
| home_page | |
| Summary | Library for extending and speeding up througput search. |
| upload_time | 2023-10-26 12:16:06 |
| maintainer | |
| docs_url | None |
| author | |
| requires_python | ~=3.8 |
| license | Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. Definitions. "License" shall mean the terms and conditions for use, reproduction, and distribution as defined by Sections 1 through 9 of this document. "Licensor" shall mean the copyright owner or entity authorized by the copyright owner that is granting the License. "Legal Entity" shall mean the union of the acting entity and all other entities that control, are controlled by, or are under common control with that entity. For the purposes of this definition, "control" means (i) the power, direct or indirect, to cause the direction or management of such entity, whether by contract or otherwise, or (ii) ownership of fifty percent (50%) or more of the outstanding shares, or (iii) beneficial ownership of such entity. "You" (or "Your") shall mean an individual or Legal Entity exercising permissions granted by this License. "Source" form shall mean the preferred form for making modifications, including but not limited to software source code, documentation source, and configuration files. "Object" form shall mean any form resulting from mechanical transformation or translation of a Source form, including but not limited to compiled object code, generated documentation, and conversions to other media types. "Work" shall mean the work of authorship, whether in Source or Object form, made available under the License, as indicated by a copyright notice that is included in or attached to the work (an example is provided in the Appendix below). "Derivative Works" shall mean any work, whether in Source or Object form, that is based on (or derived from) the Work and for which the editorial revisions, annotations, elaborations, or other modifications represent, as a whole, an original work of authorship. For the purposes of this License, Derivative Works shall not include works that remain separable from, or merely link (or bind by name) to the interfaces of, the Work and Derivative Works thereof. "Contribution" shall mean any work of authorship, including the original version of the Work and any modifications or additions to that Work or Derivative Works thereof, that is intentionally submitted to Licensor for inclusion in the Work by the copyright owner or by an individual or Legal Entity authorized to submit on behalf of the copyright owner. For the purposes of this definition, "submitted" means any form of electronic, verbal, or written communication sent to the Licensor or its representatives, including but not limited to communication on electronic mailing lists, source code control systems, and issue tracking systems that are managed by, or on behalf of, the Licensor for the purpose of discussing and improving the Work, but excluding communication that is conspicuously marked or otherwise designated in writing by the copyright owner as "Not a Contribution." "Contributor" shall mean Licensor and any individual or Legal Entity on behalf of whom a Contribution has been received by Licensor and subsequently incorporated within the Work. 2. Grant of Copyright License. Subject to the terms and conditions of this License, each Contributor hereby grants to You a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable copyright license to reproduce, prepare Derivative Works of, publicly display, publicly perform, sublicense, and distribute the Work and such Derivative Works in Source or Object form. 3. Grant of Patent License. Subject to the terms and conditions of this License, each Contributor hereby grants to You a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable (except as stated in this section) patent license to make, have made, use, offer to sell, sell, import, and otherwise transfer the Work, where such license applies only to those patent claims licensable by such Contributor that are necessarily infringed by their Contribution(s) alone or by combination of their Contribution(s) with the Work to which such Contribution(s) was submitted. If You institute patent litigation against any entity (including a cross-claim or counterclaim in a lawsuit) alleging that the Work or a Contribution incorporated within the Work constitutes direct or contributory patent infringement, then any patent licenses granted to You under this License for that Work shall terminate as of the date such litigation is filed. 4. Redistribution. You may reproduce and distribute copies of the Work or Derivative Works thereof in any medium, with or without modifications, and in Source or Object form, provided that You meet the following conditions: (a) You must give any other recipients of the Work or Derivative Works a copy of this License; and (b) You must cause any modified files to carry prominent notices stating that You changed the files; and (c) You must retain, in the Source form of any Derivative Works that You distribute, all copyright, patent, trademark, and attribution notices from the Source form of the Work, excluding those notices that do not pertain to any part of the Derivative Works; and (d) If the Work includes a "NOTICE" text file as part of its distribution, then any Derivative Works that You distribute must include a readable copy of the attribution notices contained within such NOTICE file, excluding those notices that do not pertain to any part of the Derivative Works, in at least one of the following places: within a NOTICE text file distributed as part of the Derivative Works; within the Source form or documentation, if provided along with the Derivative Works; or, within a display generated by the Derivative Works, if and wherever such third-party notices normally appear. The contents of the NOTICE file are for informational purposes only and do not modify the License. You may add Your own attribution notices within Derivative Works that You distribute, alongside or as an addendum to the NOTICE text from the Work, provided that such additional attribution notices cannot be construed as modifying the License. You may add Your own copyright statement to Your modifications and may provide additional or different license terms and conditions for use, reproduction, or distribution of Your modifications, or for any such Derivative Works as a whole, provided Your use, reproduction, and distribution of the Work otherwise complies with the conditions stated in this License. 5. Submission of Contributions. Unless You explicitly state otherwise, any Contribution intentionally submitted for inclusion in the Work by You to the Licensor shall be under the terms and conditions of this License, without any additional terms or conditions. Notwithstanding the above, nothing herein shall supersede or modify the terms of any separate license agreement you may have executed with Licensor regarding such Contributions. 6. Trademarks. This License does not grant permission to use the trade names, trademarks, service marks, or product names of the Licensor, except as required for reasonable and customary use in describing the origin of the Work and reproducing the content of the NOTICE file. 7. Disclaimer of Warranty. Unless required by applicable law or agreed to in writing, Licensor provides the Work (and each Contributor provides its Contributions) on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied, including, without limitation, any warranties or conditions of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE. You are solely responsible for determining the appropriateness of using or redistributing the Work and assume any risks associated with Your exercise of permissions under this License. 8. Limitation of Liability. In no event and under no legal theory, whether in tort (including negligence), contract, or otherwise, unless required by applicable law (such as deliberate and grossly negligent acts) or agreed to in writing, shall any Contributor be liable to You for damages, including any direct, indirect, special, incidental, or consequential damages of any character arising as a result of this License or out of the use or inability to use the Work (including but not limited to damages for loss of goodwill, work stoppage, computer failure or malfunction, or any and all other commercial damages or losses), even if such Contributor has been advised of the possibility of such damages. 9. Accepting Warranty or Additional Liability. While redistributing the Work or Derivative Works thereof, You may choose to offer, and charge a fee for, acceptance of support, warranty, indemnity, or other liability obligations and/or rights consistent with this License. However, in accepting such obligations, You may act only on Your own behalf and on Your sole responsibility, not on behalf of any other Contributor, and only if You agree to indemnify, defend, and hold each Contributor harmless for any liability incurred by, or claims asserted against, such Contributor by reason of your accepting any such warranty or additional liability. END OF TERMS AND CONDITIONS APPENDIX: How to apply the Apache License to your work. To apply the Apache License to your work, attach the following boilerplate notice, with the fields enclosed by brackets "[]" replaced with your own identifying information. (Don't include the brackets!) The text should be enclosed in the appropriate comment syntax for the file format. We also recommend that a file or class name and description of purpose be included on the same "printed page" as the copyright notice for easier identification within third-party archives. Copyright [yyyy] [name of copyright owner] 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. |
| keywords |
binary search
throughput
networking
rfc 2544
conditional throughput
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
Multiple Loss Ratio Search library
==================================
Origins
-------
This library was developed as a speedup for traditional binary search
in CSIT_ (Continuous System and Integration Testing) project of fd.io_
(Fast Data), one of LFN_ (Linux Foundation Networking) projects.
In order to make this code available in PyPI_ (Python Package Index),
the setuputils stuff has been added,
but after some discussion, the export directory_
is only a symlink to the original place of tightly coupled CSIT code.
Change log
----------
1.2.1: Updated the readme document.
1.2.0: Changed the output structure to use Goal Result as described in draft-05.
1.1.0: Logic improvements, independent selectors, exceed ratio support,
better width rounding, conditional throughput as output.
Implementation relies more on dataclasses, code split into smaller files.
API changed considerably, mainly to avoid long argument lists.
0.4.0: Considarable logic improvements, more than two target ratios supported.
API is not backward compatible with previous versions.
0.3.0: Migrated to Python 3.6, small code quality improvements.
0.2.0: Optional parameter "doublings" has been added.
0.1.1: First officially released version.
Usage
-----
High level description
______________________
A complete application capable of testing performance using MLRsearch
consists of three layers: Manager, Controller and Measurer.
This library provides an implementation for the Controller only,
including all the classes needed to define API between Controller
and other two components.
Users are supposed to implement the whole Manager layer,
and also implement the Measurer layer.
The Measurer instance is injected as a parameter
when the manager calls the controller instance.
The purpose of Measurer instance is to perform one trial measurement.
Upon invocation of measure() method, the controller only specifies
the intended duration and the intended load for the trial.
The call is done using keyword arguments, so the signature has to be:
.. code-block:: python3
def measure(self, intended_duration, intended_load):
Usually, the trial measurement process also needs other values,
collectively caller a traffic profile. User (the manager instance)
is responsible for initiating the measurer instance accordingly.
Also, the manager is supposed to set up SUT, traffic generator,
and any other component that can affect the result.
For specific input and output objects see the example below.
Example
_______
This is a minimal example showing every configuration attribute.
The measurer does not interact with any real SUT,
it simulates a SUT that is able to forward exactly one million packets
per second (unidirectional traffic only),
not one packet more (fully deterministic).
In these conditions, the conditional throughput for PDR
happens to be accurate within one packet per second.
This is the screen capture of interactive python interpreter
(wrapped so long lines are readable):
.. code-block:: python3
>>> import dataclasses
>>> from MLRsearch import (
... AbstractMeasurer, Config, MeasurementResult,
... MultipleLossRatioSearch, SearchGoal,
... )
>>>
>>> class Hard1MppsMeasurer(AbstractMeasurer):
... def measure(self, intended_duration, intended_load):
... sent = int(intended_duration * intended_load)
... received = min(sent, int(intended_duration * 1e6))
... return MeasurementResult(
... intended_duration=intended_duration,
... intended_load=intended_load,
... offered_count=sent,
... forwarding_count=received,
... )
...
>>> def print_dot(_):
... print(".", end="")
...
>>> ndr_goal = SearchGoal(
... loss_ratio=0.0,
... exceed_ratio=0.005,
... relative_width=0.005,
... initial_trial_duration=1.0,
... final_trial_duration=1.0,
... duration_sum=21.0,
... preceding_targets=2,
... expansion_coefficient=2,
... )
>>> pdr_goal = dataclasses.replace(ndr_goal, loss_ratio=0.005)
>>> config = Config(
... goals=[ndr_goal, pdr_goal],
... min_load=1e3,
... max_load=1e9,
... search_duration_max=1.0,
... warmup_duration=None,
... )
>>> controller = MultipleLossRatioSearch(config=config)
>>> result = controller.search(measurer=Hard1MppsMeasurer(), debug=print_dot)
....................................................................................
....................................................................................
...................>>> print(result)
{SearchGoal(loss_ratio=0.0, exceed_ratio=0.005, relative_width=0.005, initial_trial_
duration=1.0, final_trial_duration=1.0, duration_sum=21.0, preceding_targets=2, expa
nsion_coefficient=2, fail_fast=True): fl=997497.6029392382,s=(gl=21.0,bl=0.0,gs=0.0,
bs=0.0), SearchGoal(loss_ratio=0.005, exceed_ratio=0.005, relative_width=0.005, init
ial_trial_duration=1.0, final_trial_duration=1.0, duration_sum=21.0, preceding_targe
ts=2, expansion_coefficient=2, fail_fast=True): fl=1002508.6747611101,s=(gl=21.0,bl=
0.0,gs=0.0,bs=0.0)}
>>> print(f"NDR conditional throughput: {float(result[ndr_goal].conditional_throughp
ut)}")
NDR conditional throughput: 997497.6029392382
>>> print(f"PDR conditional throughput: {float(result[pdr_goal].conditional_throughp
ut)}")
PDR conditional throughput: 1000000.6730730429
>>>
IETF documents
--------------
The currently published `IETF draft`_ describes the logic of version 1.2.0,
earlier library and draft versions do not match each other that well.
.. _CSIT: https://wiki.fd.io/view/CSIT
.. _fd.io: https://fd.io/
.. _LFN: https://www.linuxfoundation.org/projects/networking/
.. _PyPI: https://pypi.org/project/MLRsearch/
.. _directory: https://gerrit.fd.io/r/gitweb?p=csit.git;a=tree;f=PyPI/MLRsearch
.. _IETF draft: https://tools.ietf.org/html/draft-ietf-bmwg-mlrsearch-05
Raw data
{
"_id": null,
"home_page": "",
"name": "MLRsearch",
"maintainer": "",
"docs_url": null,
"requires_python": "~=3.8",
"maintainer_email": "Vratko Polak <vrpolak@cisco.com>, Tibor Frank <tifrank@cisco.com>",
"keywords": "binary search,throughput,networking,RFC 2544,conditional throughput",
"author": "",
"author_email": "\"Cisco Systems Inc. and/or its affiliates\" <csit-dev@lists.fd.io>",
"download_url": "https://files.pythonhosted.org/packages/af/98/6a5bf4457c83e2eb1c463e67c2f87251aafc1b91ac8b154d8d7cb75747bc/MLRsearch-1.2.1.tar.gz",
"platform": null,
"description": "Multiple Loss Ratio Search library\n==================================\n\nOrigins\n-------\n\nThis library was developed as a speedup for traditional binary search\nin CSIT_ (Continuous System and Integration Testing) project of fd.io_\n(Fast Data), one of LFN_ (Linux Foundation Networking) projects.\n\nIn order to make this code available in PyPI_ (Python Package Index),\nthe setuputils stuff has been added,\nbut after some discussion, the export directory_\nis only a symlink to the original place of tightly coupled CSIT code.\n\nChange log\n----------\n\n1.2.1: Updated the readme document.\n\n1.2.0: Changed the output structure to use Goal Result as described in draft-05.\n\n1.1.0: Logic improvements, independent selectors, exceed ratio support,\nbetter width rounding, conditional throughput as output.\nImplementation relies more on dataclasses, code split into smaller files.\nAPI changed considerably, mainly to avoid long argument lists.\n\n0.4.0: Considarable logic improvements, more than two target ratios supported.\nAPI is not backward compatible with previous versions.\n\n0.3.0: Migrated to Python 3.6, small code quality improvements.\n\n0.2.0: Optional parameter \"doublings\" has been added.\n\n0.1.1: First officially released version.\n\nUsage\n-----\n\nHigh level description\n______________________\n\nA complete application capable of testing performance using MLRsearch\nconsists of three layers: Manager, Controller and Measurer.\nThis library provides an implementation for the Controller only,\nincluding all the classes needed to define API between Controller\nand other two components.\n\nUsers are supposed to implement the whole Manager layer,\nand also implement the Measurer layer.\nThe Measurer instance is injected as a parameter\nwhen the manager calls the controller instance.\n\nThe purpose of Measurer instance is to perform one trial measurement.\nUpon invocation of measure() method, the controller only specifies\nthe intended duration and the intended load for the trial.\nThe call is done using keyword arguments, so the signature has to be:\n\n.. code-block:: python3\n\n def measure(self, intended_duration, intended_load):\n\nUsually, the trial measurement process also needs other values,\ncollectively caller a traffic profile. User (the manager instance)\nis responsible for initiating the measurer instance accordingly.\nAlso, the manager is supposed to set up SUT, traffic generator,\nand any other component that can affect the result.\n\nFor specific input and output objects see the example below.\n\nExample\n_______\n\nThis is a minimal example showing every configuration attribute.\nThe measurer does not interact with any real SUT,\nit simulates a SUT that is able to forward exactly one million packets\nper second (unidirectional traffic only),\nnot one packet more (fully deterministic).\nIn these conditions, the conditional throughput for PDR\nhappens to be accurate within one packet per second.\n\nThis is the screen capture of interactive python interpreter\n(wrapped so long lines are readable):\n\n.. code-block:: python3\n\n >>> import dataclasses\n >>> from MLRsearch import (\n ... AbstractMeasurer, Config, MeasurementResult,\n ... MultipleLossRatioSearch, SearchGoal,\n ... )\n >>>\n >>> class Hard1MppsMeasurer(AbstractMeasurer):\n ... def measure(self, intended_duration, intended_load):\n ... sent = int(intended_duration * intended_load)\n ... received = min(sent, int(intended_duration * 1e6))\n ... return MeasurementResult(\n ... intended_duration=intended_duration,\n ... intended_load=intended_load,\n ... offered_count=sent,\n ... forwarding_count=received,\n ... )\n ...\n >>> def print_dot(_):\n ... print(\".\", end=\"\")\n ...\n >>> ndr_goal = SearchGoal(\n ... loss_ratio=0.0,\n ... exceed_ratio=0.005,\n ... relative_width=0.005,\n ... initial_trial_duration=1.0,\n ... final_trial_duration=1.0,\n ... duration_sum=21.0,\n ... preceding_targets=2,\n ... expansion_coefficient=2,\n ... )\n >>> pdr_goal = dataclasses.replace(ndr_goal, loss_ratio=0.005)\n >>> config = Config(\n ... goals=[ndr_goal, pdr_goal],\n ... min_load=1e3,\n ... max_load=1e9,\n ... search_duration_max=1.0,\n ... warmup_duration=None,\n ... )\n >>> controller = MultipleLossRatioSearch(config=config)\n >>> result = controller.search(measurer=Hard1MppsMeasurer(), debug=print_dot)\n ....................................................................................\n ....................................................................................\n ...................>>> print(result)\n {SearchGoal(loss_ratio=0.0, exceed_ratio=0.005, relative_width=0.005, initial_trial_\n duration=1.0, final_trial_duration=1.0, duration_sum=21.0, preceding_targets=2, expa\n nsion_coefficient=2, fail_fast=True): fl=997497.6029392382,s=(gl=21.0,bl=0.0,gs=0.0,\n bs=0.0), SearchGoal(loss_ratio=0.005, exceed_ratio=0.005, relative_width=0.005, init\n ial_trial_duration=1.0, final_trial_duration=1.0, duration_sum=21.0, preceding_targe\n ts=2, expansion_coefficient=2, fail_fast=True): fl=1002508.6747611101,s=(gl=21.0,bl=\n 0.0,gs=0.0,bs=0.0)}\n >>> print(f\"NDR conditional throughput: {float(result[ndr_goal].conditional_throughp\n ut)}\")\n NDR conditional throughput: 997497.6029392382\n >>> print(f\"PDR conditional throughput: {float(result[pdr_goal].conditional_throughp\n ut)}\")\n PDR conditional throughput: 1000000.6730730429\n >>>\n\nIETF documents\n--------------\n\nThe currently published `IETF draft`_ describes the logic of version 1.2.0,\nearlier library and draft versions do not match each other that well.\n\n.. _CSIT: https://wiki.fd.io/view/CSIT\n.. _fd.io: https://fd.io/\n.. _LFN: https://www.linuxfoundation.org/projects/networking/\n.. _PyPI: https://pypi.org/project/MLRsearch/\n.. _directory: https://gerrit.fd.io/r/gitweb?p=csit.git;a=tree;f=PyPI/MLRsearch\n.. _IETF draft: https://tools.ietf.org/html/draft-ietf-bmwg-mlrsearch-05\n",
"bugtrack_url": null,
"license": "Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. Definitions. \"License\" shall mean the terms and conditions for use, reproduction, and distribution as defined by Sections 1 through 9 of this document. \"Licensor\" shall mean the copyright owner or entity authorized by the copyright owner that is granting the License. \"Legal Entity\" shall mean the union of the acting entity and all other entities that control, are controlled by, or are under common control with that entity. For the purposes of this definition, \"control\" means (i) the power, direct or indirect, to cause the direction or management of such entity, whether by contract or otherwise, or (ii) ownership of fifty percent (50%) or more of the outstanding shares, or (iii) beneficial ownership of such entity. \"You\" (or \"Your\") shall mean an individual or Legal Entity exercising permissions granted by this License. \"Source\" form shall mean the preferred form for making modifications, including but not limited to software source code, documentation source, and configuration files. \"Object\" form shall mean any form resulting from mechanical transformation or translation of a Source form, including but not limited to compiled object code, generated documentation, and conversions to other media types. \"Work\" shall mean the work of authorship, whether in Source or Object form, made available under the License, as indicated by a copyright notice that is included in or attached to the work (an example is provided in the Appendix below). \"Derivative Works\" shall mean any work, whether in Source or Object form, that is based on (or derived from) the Work and for which the editorial revisions, annotations, elaborations, or other modifications represent, as a whole, an original work of authorship. For the purposes of this License, Derivative Works shall not include works that remain separable from, or merely link (or bind by name) to the interfaces of, the Work and Derivative Works thereof. \"Contribution\" shall mean any work of authorship, including the original version of the Work and any modifications or additions to that Work or Derivative Works thereof, that is intentionally submitted to Licensor for inclusion in the Work by the copyright owner or by an individual or Legal Entity authorized to submit on behalf of the copyright owner. For the purposes of this definition, \"submitted\" means any form of electronic, verbal, or written communication sent to the Licensor or its representatives, including but not limited to communication on electronic mailing lists, source code control systems, and issue tracking systems that are managed by, or on behalf of, the Licensor for the purpose of discussing and improving the Work, but excluding communication that is conspicuously marked or otherwise designated in writing by the copyright owner as \"Not a Contribution.\" \"Contributor\" shall mean Licensor and any individual or Legal Entity on behalf of whom a Contribution has been received by Licensor and subsequently incorporated within the Work. 2. Grant of Copyright License. Subject to the terms and conditions of this License, each Contributor hereby grants to You a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable copyright license to reproduce, prepare Derivative Works of, publicly display, publicly perform, sublicense, and distribute the Work and such Derivative Works in Source or Object form. 3. Grant of Patent License. Subject to the terms and conditions of this License, each Contributor hereby grants to You a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable (except as stated in this section) patent license to make, have made, use, offer to sell, sell, import, and otherwise transfer the Work, where such license applies only to those patent claims licensable by such Contributor that are necessarily infringed by their Contribution(s) alone or by combination of their Contribution(s) with the Work to which such Contribution(s) was submitted. If You institute patent litigation against any entity (including a cross-claim or counterclaim in a lawsuit) alleging that the Work or a Contribution incorporated within the Work constitutes direct or contributory patent infringement, then any patent licenses granted to You under this License for that Work shall terminate as of the date such litigation is filed. 4. Redistribution. You may reproduce and distribute copies of the Work or Derivative Works thereof in any medium, with or without modifications, and in Source or Object form, provided that You meet the following conditions: (a) You must give any other recipients of the Work or Derivative Works a copy of this License; and (b) You must cause any modified files to carry prominent notices stating that You changed the files; and (c) You must retain, in the Source form of any Derivative Works that You distribute, all copyright, patent, trademark, and attribution notices from the Source form of the Work, excluding those notices that do not pertain to any part of the Derivative Works; and (d) If the Work includes a \"NOTICE\" text file as part of its distribution, then any Derivative Works that You distribute must include a readable copy of the attribution notices contained within such NOTICE file, excluding those notices that do not pertain to any part of the Derivative Works, in at least one of the following places: within a NOTICE text file distributed as part of the Derivative Works; within the Source form or documentation, if provided along with the Derivative Works; or, within a display generated by the Derivative Works, if and wherever such third-party notices normally appear. The contents of the NOTICE file are for informational purposes only and do not modify the License. You may add Your own attribution notices within Derivative Works that You distribute, alongside or as an addendum to the NOTICE text from the Work, provided that such additional attribution notices cannot be construed as modifying the License. You may add Your own copyright statement to Your modifications and may provide additional or different license terms and conditions for use, reproduction, or distribution of Your modifications, or for any such Derivative Works as a whole, provided Your use, reproduction, and distribution of the Work otherwise complies with the conditions stated in this License. 5. Submission of Contributions. Unless You explicitly state otherwise, any Contribution intentionally submitted for inclusion in the Work by You to the Licensor shall be under the terms and conditions of this License, without any additional terms or conditions. Notwithstanding the above, nothing herein shall supersede or modify the terms of any separate license agreement you may have executed with Licensor regarding such Contributions. 6. Trademarks. This License does not grant permission to use the trade names, trademarks, service marks, or product names of the Licensor, except as required for reasonable and customary use in describing the origin of the Work and reproducing the content of the NOTICE file. 7. Disclaimer of Warranty. Unless required by applicable law or agreed to in writing, Licensor provides the Work (and each Contributor provides its Contributions) on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied, including, without limitation, any warranties or conditions of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE. You are solely responsible for determining the appropriateness of using or redistributing the Work and assume any risks associated with Your exercise of permissions under this License. 8. Limitation of Liability. In no event and under no legal theory, whether in tort (including negligence), contract, or otherwise, unless required by applicable law (such as deliberate and grossly negligent acts) or agreed to in writing, shall any Contributor be liable to You for damages, including any direct, indirect, special, incidental, or consequential damages of any character arising as a result of this License or out of the use or inability to use the Work (including but not limited to damages for loss of goodwill, work stoppage, computer failure or malfunction, or any and all other commercial damages or losses), even if such Contributor has been advised of the possibility of such damages. 9. Accepting Warranty or Additional Liability. While redistributing the Work or Derivative Works thereof, You may choose to offer, and charge a fee for, acceptance of support, warranty, indemnity, or other liability obligations and/or rights consistent with this License. However, in accepting such obligations, You may act only on Your own behalf and on Your sole responsibility, not on behalf of any other Contributor, and only if You agree to indemnify, defend, and hold each Contributor harmless for any liability incurred by, or claims asserted against, such Contributor by reason of your accepting any such warranty or additional liability. END OF TERMS AND CONDITIONS APPENDIX: How to apply the Apache License to your work. To apply the Apache License to your work, attach the following boilerplate notice, with the fields enclosed by brackets \"[]\" replaced with your own identifying information. (Don't include the brackets!) The text should be enclosed in the appropriate comment syntax for the file format. We also recommend that a file or class name and description of purpose be included on the same \"printed page\" as the copyright notice for easier identification within third-party archives. Copyright [yyyy] [name of copyright owner] 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. ",
"summary": "Library for extending and speeding up througput search.",
"version": "1.2.1",
"project_urls": {
"Bug Tracker": "https://jira.fd.io/projects/CSIT/issues",
"Source": "https://gerrit.fd.io/r/gitweb?p=csit.git;a=tree;f=PyPI/MLRsearch"
},
"split_keywords": [
"binary search",
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