2lambda123 / Ai_trading

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Bump scipy from 1.0.0 to 1.11.1 in /quiz/m7/m7l6 #10

Closed dependabot[bot] closed 9 months ago

dependabot[bot] commented 9 months ago

Bumps scipy from 1.0.0 to 1.11.1.

Release notes

Sourced from scipy's releases.

SciPy 1.11.1 Release Notes

SciPy 1.11.1 is a bug-fix release with no new features compared to 1.11.0. In particular, a licensing issue discovered after the release of 1.11.0 has been addressed.

Authors

  • Name (commits)
  • h-vetinari (1)
  • Robert Kern (1)
  • Ilhan Polat (4)
  • Tyler Reddy (8)

A total of 4 people contributed to this release. People with a "+" by their names contributed a patch for the first time. This list of names is automatically generated, and may not be fully complete.

SciPy 1.11.0 Release Notes

SciPy 1.11.0 is the culmination of 6 months of hard work. It contains many new features, numerous bug-fixes, improved test coverage and better documentation. There have been a number of deprecations and API changes in this release, which are documented below. All users are encouraged to upgrade to this release, as there are a large number of bug-fixes and optimizations. Before upgrading, we recommend that users check that their own code does not use deprecated SciPy functionality (to do so, run your code with python -Wd and check for DeprecationWarning s). Our development attention will now shift to bug-fix releases on the 1.11.x branch, and on adding new features on the main branch.

This release requires Python 3.9+ and NumPy 1.21.6 or greater.

For running on PyPy, PyPy3 6.0+ is required.

Highlights of this release

  • Several scipy.sparse array API improvements, including sparse.sparray, a new public base class distinct from the older sparse.spmatrix class, proper 64-bit index support, and numerous deprecations paving the way to a modern sparse array experience.
  • scipy.stats added tools for survival analysis, multiple hypothesis testing, sensitivity analysis, and working with censored data.

... (truncated)

Commits
  • cfe8011 REL: 1.11.1 rel commit [wheel build]
  • 450d8aa Merge pull request #18779 from tylerjereddy/treddy_1_11_1_prep
  • 6f942e8 DOC: update 1.11.1 relnotes
  • 145cec5 MAINT: fix unuran licensing
  • 0760bab MAINT:linalg.det:Return scalars for singleton inputs (#18763)
  • a1c6f99 MAINT:linalg:Use only NumPy types in lu
  • 5cdc2fe MAINT:linalg:Remove memcpy from lu
  • d9ac3f3 FIX:linalg:Guard against possible permute_l out of bound behavior
  • 7ec5010 BUG: fix handling for factorial(..., exact=False) for 0-dim array inputs (#...
  • 90415c6 BUG: Fix work array construction for various weight shapes. (#18741)
  • Additional commits viewable in compare view


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sonarcloud[bot] commented 9 months ago

Quality Gate Passed Quality Gate passed

Kudos, no new issues were introduced!

0 New issues
0 Security Hotspots
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No data about Duplication

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guardrails[bot] commented 9 months ago

:warning: We detected 1 security issue in this pull request:

Vulnerable Libraries (1)
Severity | Details :-: | :-- N/A | [pkg:pypi/scipy@1.0.0](https://github.com/2lambda123/Ai_trading/blob/581425dd7fd687f342cd2b8e0a73c6b238e56620/quiz/m7/m7l6/requirements.txt#L11) upgrade to: *1.10.0* More info on how to fix Vulnerable Libraries in [Python](https://docs.guardrails.io/docs/en/vulnerabilities/python/using_vulnerable_libraries.html?utm_source=ghpr).

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Micro-Learning Topic: Vulnerable library (Detected by phrase)

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Use of vulnerable components will introduce weaknesses into the application. Components with published vulnerabilities will allow easy exploitation as resources will often be available to automate the process.

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