Scheduled weekly dependency update for week 02 #533

pyup-bot · 2023-01-09T19:35:11Z

Update boto3 from 1.26.41 to 1.26.45.

Changelog

1.26.45

=======

* api-change:``acm-pca``: [``botocore``] Added revocation parameter validation: bucket names must match S3 bucket naming rules and CNAMEs conform to RFC2396 restrictions on the use of special characters in URIs.
* api-change:``auditmanager``: [``botocore``] This release introduces a new data retention option in your Audit Manager settings. You can now use the DeregistrationPolicy parameter to specify if you want to delete your data when you deregister Audit Manager.

1.26.44

=======

* api-change:``amplifybackend``: [``botocore``] Updated GetBackendAPIModels response to include ModelIntrospectionSchema json string
* api-change:``apprunner``: [``botocore``] This release adds support of securely referencing secrets and configuration data that are stored in Secrets Manager and SSM Parameter Store by adding them as environment secrets in your App Runner service.
* api-change:``connect``: [``botocore``] Documentation update for a new Initiation Method value in DescribeContact API
* api-change:``emr-serverless``: [``botocore``] Adds support for customized images. You can now provide runtime images when creating or updating EMR Serverless Applications.
* api-change:``lightsail``: [``botocore``] Documentation updates for Amazon Lightsail.
* api-change:``mwaa``: [``botocore``] MWAA supports Apache Airflow version 2.4.3.
* api-change:``rds``: [``botocore``] This release adds support for specifying which certificate authority (CA) to use for a DB instance&#x27;s server certificate during DB instance creation, as well as other CA enhancements.

1.26.43

=======

* api-change:``application-autoscaling``: [``botocore``] Customers can now use the existing DescribeScalingActivities API to also see the detailed and machine-readable reasons for Application Auto Scaling not scaling their resources and, if needed, take the necessary corrective actions.
* api-change:``logs``: [``botocore``] Update to remove sequenceToken as a required field in PutLogEvents calls.
* api-change:``ssm``: [``botocore``] Adding support for QuickSetup Document Type in Systems Manager

1.26.42

=======

* api-change:``securitylake``: [``botocore``] Allow CreateSubscriber API to take string input that allows setting more descriptive SubscriberDescription field. Make souceTypes field required in model level for UpdateSubscriberRequest as it is required for every API call on the backend. Allow ListSubscribers take any String as nextToken param.

Links

PyPI: https://pypi.org/project/boto3
Changelog: https://pyup.io/changelogs/boto3/
Repo: https://github.com/boto/boto3

Update botocore from 1.29.41 to 1.29.45.

Changelog

1.29.45

=======

* api-change:``acm-pca``: Added revocation parameter validation: bucket names must match S3 bucket naming rules and CNAMEs conform to RFC2396 restrictions on the use of special characters in URIs.
* api-change:``auditmanager``: This release introduces a new data retention option in your Audit Manager settings. You can now use the DeregistrationPolicy parameter to specify if you want to delete your data when you deregister Audit Manager.

1.29.44

=======

* api-change:``amplifybackend``: Updated GetBackendAPIModels response to include ModelIntrospectionSchema json string
* api-change:``apprunner``: This release adds support of securely referencing secrets and configuration data that are stored in Secrets Manager and SSM Parameter Store by adding them as environment secrets in your App Runner service.
* api-change:``connect``: Documentation update for a new Initiation Method value in DescribeContact API
* api-change:``emr-serverless``: Adds support for customized images. You can now provide runtime images when creating or updating EMR Serverless Applications.
* api-change:``lightsail``: Documentation updates for Amazon Lightsail.
* api-change:``mwaa``: MWAA supports Apache Airflow version 2.4.3.
* api-change:``rds``: This release adds support for specifying which certificate authority (CA) to use for a DB instance&#x27;s server certificate during DB instance creation, as well as other CA enhancements.

1.29.43

=======

* api-change:``application-autoscaling``: Customers can now use the existing DescribeScalingActivities API to also see the detailed and machine-readable reasons for Application Auto Scaling not scaling their resources and, if needed, take the necessary corrective actions.
* api-change:``logs``: Update to remove sequenceToken as a required field in PutLogEvents calls.
* api-change:``ssm``: Adding support for QuickSetup Document Type in Systems Manager

1.29.42

=======

* api-change:``securitylake``: Allow CreateSubscriber API to take string input that allows setting more descriptive SubscriberDescription field. Make souceTypes field required in model level for UpdateSubscriberRequest as it is required for every API call on the backend. Allow ListSubscribers take any String as nextToken param.

Links

PyPI: https://pypi.org/project/botocore
Changelog: https://pyup.io/changelogs/botocore/
Repo: https://github.com/boto/botocore

Update cloudscraper from 1.2.66 to 1.2.67.

Changelog

1.2.67

![image](https://user-images.githubusercontent.com/597545/210901984-324cea69-5f8e-438d-9eba-41a89c759b86.png)

Links

PyPI: https://pypi.org/project/cloudscraper
Changelog: https://pyup.io/changelogs/cloudscraper/
Repo: https://github.com/venomous/cloudscraper

Update phonenumbers from 8.13.3 to 8.13.4.

Changelog

8.13.4

Metadata changes:
- Updated phone metadata for region code(s):
BG, BJ, ET, GH, HT, LR, MG, QA, SI, UZ
- Updated short number metadata for region code(s): FO
- Updated geocoding data for country calling code(s): 251 (en)
- Updated carrier data for country calling code(s):
45 (en), 48 (en), 231 (en), 233 (en), 261 (en), 298 (en), 383 (en), 386 (en),
509 (en), 974 (en), 998 (en)

Links

PyPI: https://pypi.org/project/phonenumbers
Changelog: https://pyup.io/changelogs/phonenumbers/
Repo: https://github.com/daviddrysdale/python-phonenumbers

Update pylint from 2.15.9 to 2.15.10.

The bot wasn't able to find a changelog for this release. Got an idea?

Links

PyPI: https://pypi.org/project/pylint
Changelog: https://pyup.io/changelogs/pylint/

Update scipy from 1.9.3 to 1.10.0.

Changelog

1.10.0

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
1.10.x branch, and on adding new features on the main branch.

This release requires Python `3.8+` and NumPy `1.19.5` or greater.

For running on PyPy, PyPy3 `6.0+` is required.



Highlights of this release
====================

- A new dedicated datasets submodule (`scipy.datasets`) has been added, and is
now preferred over usage of `scipy.misc` for dataset retrieval.
- A new `scipy.interpolate.make_smoothing_spline` function was added. This
function constructs a smoothing cubic spline from noisy data, using the
generalized cross-validation (GCV) criterion to find the tradeoff between
smoothness and proximity to data points.
- `scipy.stats` has three new distributions, two new hypothesis tests, three
new sample statistics, a class for greater control over calculations
involving covariance matrices, and many other enhancements.


New features
===========

`scipy.datasets` introduction
========================
- A new dedicated ``datasets`` submodule has been added. The submodules
is meant for datasets that are relevant to other SciPy submodules ands
content (tutorials, examples, tests), as well as contain a curated
set of datasets that are of wider interest. As of this release, all
the datasets from `scipy.misc` have been added to `scipy.datasets`
(and deprecated in `scipy.misc`).
- The submodule is based on [Pooch](https://www.fatiando.org/pooch/latest/)
(a new optional dependency for SciPy), a Python package to simplify fetching
data files. This move will, in a subsequent release, facilitate SciPy
to trim down the sdist/wheel sizes, by decoupling the data files and
moving them out of the SciPy repository, hosting them externally and
downloading them when requested. After downloading the datasets once,
the files are cached to avoid network dependence and repeated usage.
- Added datasets from ``scipy.misc``: `scipy.datasets.face`,
`scipy.datasets.ascent`, `scipy.datasets.electrocardiogram`
- Added download and caching functionality:

- `scipy.datasets.download_all`: a function to download all the `scipy.datasets`
 associated files at once.
- `scipy.datasets.clear_cache`: a simple utility function to clear cached dataset
 files from the file system.
- ``scipy/datasets/_download_all.py`` can be run as a standalone script for
 packaging purposes to avoid any external dependency at build or test time.
 This can be used by SciPy packagers (e.g., for Linux distros) which may
 have to adhere to rules that forbid downloading sources from external
 repositories at package build time.

`scipy.integrate` improvements
==============================
- Added `scipy.integrate.qmc_quad`, which performs quadrature using Quasi-Monte
Carlo points.
- Added parameter ``complex_func`` to `scipy.integrate.quad`, which can be set
``True`` to integrate a complex integrand.


`scipy.interpolate` improvements
================================
- `scipy.interpolate.interpn` now supports tensor-product interpolation methods
(``slinear``, ``cubic``, ``quintic`` and ``pchip``)
- Tensor-product interpolation methods (``slinear``, ``cubic``, ``quintic`` and
``pchip``) in `scipy.interpolate.interpn` and
`scipy.interpolate.RegularGridInterpolator` now allow values with trailing
dimensions.
- `scipy.interpolate.RegularGridInterpolator` has a new fast path for
``method=&quot;linear&quot;`` with 2D data, and ``RegularGridInterpolator`` is now
easier to subclass
- `scipy.interpolate.interp1d` now can take a single value for non-spline
methods.
- A new ``extrapolate`` argument is available to `scipy.interpolate.BSpline.design_matrix`,
allowing extrapolation based on the first and last intervals.
- A new function `scipy.interpolate.make_smoothing_spline` has been added. It is an
implementation of the generalized cross-validation spline smoothing
algorithm. The ``lam=None`` (default) mode of this function is a clean-room
reimplementation of the classic ``gcvspl.f`` Fortran algorithm for
constructing GCV splines.
- A new ``method=&quot;pchip&quot;`` mode was aded to
`scipy.interpolate.RegularGridInterpolator`. This mode constructs an
interpolator using tensor products of C1-continuous monotone splines
(essentially, a `scipy.interpolate.PchipInterpolator` instance per
dimension).



`scipy.sparse.linalg` improvements
==================================
- The spectral 2-norm is now available in `scipy.sparse.linalg.norm`.
- The performance of `scipy.sparse.linalg.norm` for the default case (Frobenius
norm) has been improved.
- LAPACK wrappers were added for ``trexc`` and ``trsen``.
- The `scipy.sparse.linalg.lobpcg` algorithm was rewritten, yielding
the following improvements:

- a simple tunable restart potentially increases the attainable
 accuracy for edge cases,
- internal postprocessing runs one final exact Rayleigh-Ritz method
 giving more accurate and orthonormal eigenvectors,
- output the computed iterate with the smallest max norm of the residual
 and drop the history of subsequent iterations,
- remove the check for ``LinearOperator`` format input and thus allow
 a simple function handle of a callable object as an input,
- better handling of common user errors with input data, rather
 than letting the algorithm fail.


`scipy.linalg` improvements
===========================
- `scipy.linalg.lu_factor` now accepts rectangular arrays instead of being restricted
to square arrays.


`scipy.ndimage` improvements
============================
- The new `scipy.ndimage.value_indices` function provides a time-efficient method to
search for the locations of individual values with an array of image data.
- A new ``radius`` argument is supported by `scipy.ndimage.gaussian_filter1d` and
`scipy.ndimage.gaussian_filter` for adjusting the kernel size of the filter.


`scipy.optimize` improvements
=============================
- `scipy.optimize.brute` now coerces non-iterable/single-value ``args`` into a
tuple.
- `scipy.optimize.least_squares` and `scipy.optimize.curve_fit` now accept
`scipy.optimize.Bounds` for bounds constraints.
- Added a tutorial for `scipy.optimize.milp`.
- Improved the pretty-printing of `scipy.optimize.OptimizeResult` objects.
- Additional options (``parallel``, ``threads``, ``mip_rel_gap``) can now
be passed to `scipy.optimize.linprog` with ``method=&#x27;highs&#x27;``.


`scipy.signal` improvements
===========================
- The new window function `scipy.signal.windows.lanczos` was added to compute a
Lanczos window, also known as a sinc window.


`scipy.sparse.csgraph` improvements
===================================
- the performance of `scipy.sparse.csgraph.dijkstra` has been improved, and
star graphs in particular see a marked performance improvement


`scipy.special` improvements
============================
- The new function `scipy.special.powm1`, a ufunc with signature
``powm1(x, y)``, computes ``x**y - 1``. The function avoids the loss of
precision that can result when ``y`` is close to 0 or when ``x`` is close to
1.
- `scipy.special.erfinv` is now more accurate as it leverages the Boost equivalent under
the hood.


`scipy.stats` improvements
==========================
- Added `scipy.stats.goodness_of_fit`, a generalized goodness-of-fit test for
use with any univariate distribution, any combination of known and unknown
parameters, and several choices of test statistic (Kolmogorov-Smirnov,
Cramer-von Mises, and Anderson-Darling).
- Improved `scipy.stats.bootstrap`: Default method ``&#x27;BCa&#x27;`` now supports
multi-sample statistics. Also, the bootstrap distribution is returned in the
result object, and the result object can be passed into the function as
parameter ``bootstrap_result`` to add additional resamples or change the
confidence interval level and type.
- Added maximum spacing estimation to `scipy.stats.fit`.
- Added the Poisson means test (&quot;E-test&quot;) as `scipy.stats.poisson_means_test`.
- Added new sample statistics.

- Added `scipy.stats.contingency.odds_ratio` to compute both the conditional
 and unconditional odds ratios and corresponding confidence intervals for
 2x2 contingency tables.
- Added `scipy.stats.directional_stats` to compute sample statistics of
 n-dimensional directional data.
- Added `scipy.stats.expectile`, which generalizes the expected value in the
 same way as quantiles are a generalization of the median.

- Added new statistical distributions.

- Added `scipy.stats.uniform_direction`, a multivariate distribution to
 sample uniformly from the surface of a hypersphere.
- Added `scipy.stats.random_table`, a multivariate distribution to sample
 uniformly from m x n contingency tables with provided marginals.
- Added `scipy.stats.truncpareto`, the truncated Pareto distribution.

- Improved the ``fit`` method of several distributions.

- `scipy.stats.skewnorm` and `scipy.stats.weibull_min` now use an analytical
 solution when ``method=&#x27;mm&#x27;``, which also serves a starting guess to
 improve the performance of ``method=&#x27;mle&#x27;``.
- `scipy.stats.gumbel_r` and `scipy.stats.gumbel_l`: analytical maximum
 likelihood estimates have been extended to the cases in which location or
 scale are fixed by the user.
- Analytical maximum likelihood estimates have been added for
 `scipy.stats.powerlaw`.

- Improved random variate sampling of several distributions.

- Drawing multiple samples from `scipy.stats.matrix_normal`,
 `scipy.stats.ortho_group`, `scipy.stats.special_ortho_group`, and
 `scipy.stats.unitary_group` is faster.
- The ``rvs`` method of `scipy.stats.vonmises` now wraps to the interval
 ``[-np.pi, np.pi]``.
- Improved the reliability of `scipy.stats.loggamma` ``rvs`` method for small
 values of the shape parameter.

- Improved the speed and/or accuracy of functions of several statistical
distributions.

- Added `scipy.stats.Covariance` for better speed, accuracy, and user control
 in multivariate normal calculations.
- `scipy.stats.skewnorm` methods ``cdf``, ``sf``, ``ppf``, and ``isf``
 methods now use the implementations from Boost, improving speed while
 maintaining accuracy. The calculation of higher-order moments is also
 faster and more accurate.
- `scipy.stats.invgauss` methods ``ppf`` and ``isf`` methods now use the
 implementations from Boost, improving speed and accuracy.
- `scipy.stats.invweibull` methods ``sf`` and ``isf`` are more accurate for
 small probability masses.
- `scipy.stats.nct` and `scipy.stats.ncx2` now rely on the implementations
 from Boost, improving speed and accuracy.
- Implemented the ``logpdf`` method of `scipy.stats.vonmises` for reliability
 in extreme tails.
- Implemented the ``isf`` method of `scipy.stats.levy` for speed and
 accuracy.
- Improved the robustness of `scipy.stats.studentized_range` for large ``df``
 by adding an infinite degree-of-freedom approximation.
- Added a parameter ``lower_limit`` to `scipy.stats.multivariate_normal`,
 allowing the user to change the integration limit from -inf to a desired
 value.
- Improved the robustness of ``entropy`` of `scipy.stats.vonmises` for large
 concentration values.

- Enhanced `scipy.stats.gaussian_kde`.

- Added `scipy.stats.gaussian_kde.marginal`, which returns the desired
 marginal distribution of the original kernel density estimate distribution.
- The ``cdf`` method of `scipy.stats.gaussian_kde` now accepts a
 ``lower_limit`` parameter for integrating the PDF over a rectangular region.
- Moved calculations for `scipy.stats.gaussian_kde.logpdf` to Cython,
 improving speed.
- The global interpreter lock is released by the ``pdf`` method of
 `scipy.stats.gaussian_kde` for improved multithreading performance.
- Replaced explicit matrix inversion with Cholesky decomposition for speed
 and accuracy.

- Enhanced the result objects returned by many `scipy.stats` functions

- Added a ``confidence_interval`` method to the result object returned by
 `scipy.stats.ttest_1samp` and `scipy.stats.ttest_rel`.
- The `scipy.stats` functions ``combine_pvalues``, ``fisher_exact``,
 ``chi2_contingency``, ``median_test`` and ``mood`` now return
 bunch objects rather than plain tuples, allowing attributes to be
 accessed by name.
- Attributes of the result objects returned by ``multiscale_graphcorr``,
 ``anderson_ksamp``, ``binomtest``, ``crosstab``, ``pointbiserialr``,
 ``spearmanr``, ``kendalltau``, and ``weightedtau`` have been renamed to
 ``statistic`` and ``pvalue`` for consistency throughout `scipy.stats`.
 Old attribute names are still allowed for backward compatibility.
- `scipy.stats.anderson` now returns the parameters of the fitted
 distribution in a `scipy.stats._result_classes.FitResult` object.
- The ``plot`` method of `scipy.stats._result_classes.FitResult` now accepts
 a ``plot_type`` parameter; the options are ``&#x27;hist&#x27;`` (histogram, default),
 ``&#x27;qq&#x27;`` (Q-Q plot), ``&#x27;pp&#x27;`` (P-P plot), and ``&#x27;cdf&#x27;`` (empirical CDF
 plot).
- Kolmogorov-Smirnov tests (e.g. `scipy.stats.kstest`) now return the
 location (argmax) at which the statistic is calculated and the variant
 of the statistic used.

- Improved the performance of several `scipy.stats` functions.

- Improved the performance of `scipy.stats.cramervonmises_2samp` and
 `scipy.stats.ks_2samp` with ``method=&#x27;exact&#x27;``.
- Improved the performance of `scipy.stats.siegelslopes`.
- Improved the performance of `scipy.stats.mstats.hdquantile_sd`.
- Improved the performance of `scipy.stats.binned_statistic_dd` for several
 NumPy statistics, and binned statistics methods now support complex data.

- Added the ``scramble`` optional argument to `scipy.stats.qmc.LatinHypercube`.
It replaces ``centered``, which is now deprecated.
- Added a parameter ``optimization`` to all `scipy.stats.qmc.QMCEngine`
subclasses to improve characteristics of the quasi-random variates.
- Added tie correction to `scipy.stats.mood`.
- Added tutorials for resampling methods in `scipy.stats`.
- `scipy.stats.bootstrap`, `scipy.stats.permutation_test`, and
`scipy.stats.monte_carlo_test` now automatically detect whether the provided
``statistic`` is vectorized, so passing the ``vectorized`` argument
explicitly is no longer required to take advantage of vectorized statistics.
- Improved the speed of `scipy.stats.permutation_test` for permutation types
``&#x27;samples&#x27;`` and ``&#x27;pairings&#x27;``.
- Added ``axis``, ``nan_policy``, and masked array support to
`scipy.stats.jarque_bera`.
- Added the ``nan_policy`` optional argument to `scipy.stats.rankdata`.



Deprecated features
=================
- `scipy.misc` module and all the methods in ``misc`` are deprecated in v1.10
and will be completely removed in SciPy v2.0.0. Users are suggested to
utilize the `scipy.datasets` module instead for the dataset methods.
- `scipy.stats.qmc.LatinHypercube` parameter ``centered`` has been deprecated.
It is replaced by the ``scramble`` argument for more consistency with other
QMC engines.
- `scipy.interpolate.interp2d` class has been deprecated.  The docstring of the
deprecated routine lists recommended replacements.


Expired Deprecations
==================
- There is an ongoing effort to follow through on long-standing deprecations.
- The following previously deprecated features are affected:

- Removed ``cond`` &amp; ``rcond`` kwargs in ``linalg.pinv``
- Removed wrappers ``scipy.linalg.blas.{clapack, flapack}``
- Removed ``scipy.stats.NumericalInverseHermite`` and removed ``tol`` &amp; ``max_intervals`` kwargs from ``scipy.stats.sampling.NumericalInverseHermite``
- Removed ``local_search_options`` kwarg frrom ``scipy.optimize.dual_annealing``.



Other changes
============
- `scipy.stats.bootstrap`, `scipy.stats.permutation_test`, and
`scipy.stats.monte_carlo_test` now automatically detect whether the provided
``statistic`` is vectorized by looking for an ``axis`` parameter in the
signature of ``statistic``. If an ``axis`` parameter is present in
``statistic`` but should not be relied on for vectorized calls, users must
pass option ``vectorized==False`` explicitly.
- `scipy.stats.multivariate_normal` will now raise a ``ValueError`` when the
covariance matrix is not positive semidefinite, regardless of which method
is called.




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* Josef Perktold (1)
* Giacomo Petrillo (3) +
* Matti Picus (1)
* Rafael Pinto (1) +
* PKNaveen (1) +
* Ilhan Polat (6)
* Akshita Prasanth (2) +
* Sean Quinn (1)
* Tyler Reddy (117)
* Martin Reinecke (1)
* Ned Richards (1)
* Marie Roald (1) +
* Sam Rosen (4) +
* Pamphile Roy (103)
* sabonerune (2) +
* Atsushi Sakai (94)
* Daniel Schmitz (27)
* Anna Scholtz (1) +
* Eli Schwartz (11)
* serge-sans-paille (2)
* JEEVANSHI SHARMA (1) +
* ehsan shirvanian (2) +
* siddhantwahal (2)
* Mathieu Dutour Sikiric (1) +
* Sourav Singh (1)
* Alexander Soare (1) +
* Bjørge Solli (2) +
* Scott Staniewicz (1)
* Albert Steppi (3)
* Thomas Stoeger (1) +
* Kai Striega (4)
* Tartopohm (1) +
* Mamoru TASAKA (2) +
* Ewout ter Hoeven (5)
* TianyiQ (1) +
* Tiger (1) +
* Will Tirone (1)
* Edgar Andrés Margffoy Tuay (1) +
* Dmitry Ulyumdzhiev (1) +
* Hari Vamsi (1) +
* VitalyChait (1) +
* Rik Voorhaar (1) +
* Samuel Wallan (4)
* Stefan van der Walt (2)
* Warren Weckesser (145)
* wei2222 (1) +
* windows-server-2003 (3) +
* Marek Wojciechowski (2) +
* Niels Wouda (1) +
* WRKampi (1) +
* Yeonjoo Yoo (1) +
* Rory Yorke (1)
* Xiao Yuan (2) +
* Meekail Zain (2) +
* Fabio Zanini (1) +
* Steffen Zeile (1) +
* Egor Zemlyanoy (19)
* Gavin Zhang (3) +

A total of 180 people contributed to this release.
People with a &quot;+&quot; by their names contributed a patch for the first time.
This list of names is automatically generated, and may not be fully complete.

Links

PyPI: https://pypi.org/project/scipy
Changelog: https://pyup.io/changelogs/scipy/
Homepage: https://scipy.org/

Update thinc from 8.1.5 to 8.1.6.

Changelog

8.1.6

✨ New features and improvements

* Update to mypy 0.990 (801).
* Extend to wasabi v1.1 (813).
* Add `SparseLinear.v2`, to fix indexing issues (754).
* Add `TorchScriptWrapper_v1` (802).
* Add callbacks to facilitate lazy-loading models in `PyTorchShim` (796).
* Make all layer defaults serializable (808).

🔴 Bug fixes

* Add missing `packaging` requirement (799).
* Correct sequence length error messages for `reduce_first/last` (807).
* Update `CupyOps.asarray` to always copy cupy arrays to the current device (812).
* Fix types for sequences passed to `Ops.asarray*` (819).

👥 Contributors

adrianeboyd, danieldk, frobnitzem, honnibal, ines, richardpaulhudson, ryndaniels, shadeMe, svlandeg

Links

PyPI: https://pypi.org/project/thinc
Changelog: https://pyup.io/changelogs/thinc/
Repo: https://github.com/explosion/thinc

Update web3 from 6.0.0b8 to 6.0.0b9.

Changelog

6.0.0beta.9

--------------------------

Features
~~~~~~~~

- Add async ``w3.eth.get_block_transaction_count`` (`2687
&lt;https://github.com/ethereum/web3.py/issues/2687&gt;`__)
- Support Python 3.11 (`2699
&lt;https://github.com/ethereum/web3.py/issues/2699&gt;`__)
- Load the ``AsyncHTTPProvider`` with default async middleware and default
async modules, just as the ``HTTPProvider``. (`2736
&lt;https://github.com/ethereum/web3.py/issues/2736&gt;`__)
- Add support for Nethermind/Gnosis revert reason formatting (`2739
&lt;https://github.com/ethereum/web3.py/issues/2739&gt;`__)
- Added async functionality to filter (`2744
&lt;https://github.com/ethereum/web3.py/issues/2744&gt;`__)
- Get contract address from ``CREATE`` and ``CREATE2`` opcodes (`2762
&lt;https://github.com/ethereum/web3.py/issues/2762&gt;`__)


Bugfixes
~~~~~~~~

- Fixing abi encoding for multidimensional arrays. (`2764
&lt;https://github.com/ethereum/web3.py/issues/2764&gt;`__)


Performance improvements
~~~~~~~~~~~~~~~~~~~~~~~~

- Some minor performance improvements to the ``SimpleCache`` class and simple
cache middlewares (sync and async). (`2719
&lt;https://github.com/ethereum/web3.py/issues/2719&gt;`__)
- Remove unnecessary ``await`` for ``generate_gas_price()`` method as it does
not need to be awaited. Move this method to ``BaseEth`` to be used directly
by both ``Eth`` and ``AsyncEth`` modules. (`2735
&lt;https://github.com/ethereum/web3.py/issues/2735&gt;`__)


Improved Documentation
~~~~~~~~~~~~~~~~~~~~~~

- Add user survey to docs banner (`2720
&lt;https://github.com/ethereum/web3.py/issues/2720&gt;`__)
- Document improvements for private key info and account funding. (`2722
&lt;https://github.com/ethereum/web3.py/issues/2722&gt;`__)
- Include eth-tester install note in quickstart (`2755
&lt;https://github.com/ethereum/web3.py/issues/2755&gt;`__)


Deprecations and Removals
~~~~~~~~~~~~~~~~~~~~~~~~~

- Removal of Infura auto provider support. (`2706
&lt;https://github.com/ethereum/web3.py/issues/2706&gt;`__)
- Removal of ``version`` module. (`2729
&lt;https://github.com/ethereum/web3.py/issues/2729&gt;`__)
- Remove already-deprecated ``start_rpc`` and ``stop_rpc`` from the
``w3.geth.admin`` module. (`2731
&lt;https://github.com/ethereum/web3.py/issues/2731&gt;`__)


Internal Changes - for web3.py Contributors
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

- Use regex pattern for ``black`` command for ``tox`` / ``make lint`` linting
commands. (`2727 &lt;https://github.com/ethereum/web3.py/issues/2727&gt;`__)
- Use regex pattern for ``mypy`` command for ``tox`` / ``make lint`` linting
commands. (`2734 &lt;https://github.com/ethereum/web3.py/issues/2734&gt;`__)
- Remove internal method ``apply_formatter_to_array`` and use the method with
the same name from the ``eth-utils`` library. (`2737
&lt;https://github.com/ethereum/web3.py/issues/2737&gt;`__)


Miscellaneous changes
~~~~~~~~~~~~~~~~~~~~~

- `2751 &lt;https://github.com/ethereum/web3.py/issues/2751&gt;`__


Breaking changes
~~~~~~~~~~~~~~~~

- Snakecase the processReceipt, processLog, createFilter, and getLogs methods
(`2709 &lt;https://github.com/ethereum/web3.py/issues/2709&gt;`__)
- Remove Parity module and references. (`2718
&lt;https://github.com/ethereum/web3.py/issues/2718&gt;`__)
- Make the ``ipfshttpclient`` library opt-in via a web3 install extra. This
only affects the ``ethpm`` ``ipfs`` backends, which rely on the library.
(`2730 &lt;https://github.com/ethereum/web3.py/issues/2730&gt;`__)

Links

PyPI: https://pypi.org/project/web3
Changelog: https://pyup.io/changelogs/web3/
Repo: https://github.com/ethereum/web3.py

Update orjson from 3.8.3 to 3.8.4.

Changelog

3.8.4

Changed

- Improve performance.

Links

PyPI: https://pypi.org/project/orjson
Changelog: https://pyup.io/changelogs/orjson/
Repo: https://github.com/ijl/orjson

Update yt-dlp from 2023.1.2 to 2023.1.6.

Changelog

2023.01.06

* Fix config locations by [Grub4k](https://github.com/Grub4k), [coletdjnz](https://github.com/coletdjnz), [pukkandan](https://github.com/pukkandan)
* [downloader/aria2c] Disable native progress
* [utils] `mimetype2ext`: `weba` is not standard
* [utils] `windows_enable_vt_mode`: Better error handling
* [build] Add minimal `pyproject.toml`
* [update] Fix updater file removal on windows by [Grub4K](https://github.com/Grub4K)
* [cleanup] Misc fixes and cleanup
* [extractor/aitube] Add extractor by [HobbyistDev](https://github.com/HobbyistDev)
* [extractor/drtv] Add series extractors by [FrederikNS](https://github.com/FrederikNS)
* [extractor/volejtv] Add extractor by [HobbyistDev](https://github.com/HobbyistDev)
* [extractor/xanimu] Add extractor by [JChris246](https://github.com/JChris246)
* [extractor/youtube] Retry manifest refresh for live-from-start by [mzhou](https://github.com/mzhou)
* [extractor/biliintl] Add `/media` to `VALID_URL` by [HobbyistDev](https://github.com/HobbyistDev)
* [extractor/biliIntl] Add fallback to `video_data` by [HobbyistDev](https://github.com/HobbyistDev)
* [extractor/crunchyroll:show] Add `language` to entries by [Chrissi2812](https://github.com/Chrissi2812)
* [extractor/joj] Fix extractor by [OndrejBakan](https://github.com/OndrejBakan), [pukkandan](https://github.com/pukkandan)
* [extractor/nbc] Update graphql query by [jacobtruman](https://github.com/jacobtruman)
* [extractor/reddit] Add subreddit as `channel_id` by [gschizas](https://github.com/gschizas)
* [extractor/tiktok] Add `TikTokLive` extractor by [JC-Chung](https://github.com/JC-Chung)

Links

PyPI: https://pypi.org/project/yt-dlp
Changelog: https://pyup.io/changelogs/yt-dlp/
Repo: https://github.com/yt-dlp/yt-dlp

Update limits from 2.8.0 to 3.1.4.

Changelog

3.1.4

------
Release Date: 2023-01-06

* Chores

* Fix benchmark result artifact capture

3.1.3

------
Release Date: 2023-01-06

* Chores

* Fix benchmark result artifact capture

3.1.2

------
Release Date: 2023-01-06

* Chores

* Collapse benchmark &amp; ci workflows

3.1.1

------
Release Date: 2023-01-06

* Chores

* Fix compatibility tests for etcd in CI
* Improve visual identifiers of tests
* Add benchmark tests in CI

3.1.0

------
Release Date: 2023-01-05

* Compatibility

* Increase minimum version of pymongo to 4.1

* Chores

* Refactor storage tests
* Improve test coverage across python versions in CI

3.0.0

------
Release Date: 2023-01-04

* Features

* Added etcd storage support for fixed window strategies

* Compatibility

* Removed deprecated GAE Memcached storage
* Updated minimum dependencies for mongodb
* Updated dependency for async memcached on python 3.11

Links

PyPI: https://pypi.org/project/limits
Changelog: https://pyup.io/changelogs/limits/
Docs: https://limits.readthedocs.org

Update great-expectations from 0.15.41 to 0.15.42.

The bot wasn't able to find a changelog for this release. Got an idea?

Links

PyPI: https://pypi.org/project/great-expectations
Changelog: https://pyup.io/changelogs/great-expectations/
Repo: https://github.com/great-expectations/great_expectations

Update hydra-core from 1.3.0 to 1.3.1.

The bot wasn't able to find a changelog for this release. Got an idea?

Links

PyPI: https://pypi.org/project/hydra-core
Repo: https://github.com/facebookresearch/hydra

rokm · 2023-01-10T19:45:28Z

Deferring hydra update due to #532 (comment).

Deferring web3 update due to ethereum/web3.py#2774 (we could also explicitly install base58).

bwoodsend · 2023-01-10T22:50:57Z

I've given the hydra PR a prod in the hopes that it might get reviewed.

pyup-bot added 11 commits January 9, 2023 19:35

Update boto3 from 1.26.41 to 1.26.45

7a52340

Update botocore from 1.29.41 to 1.29.45

50df8b1

Update cloudscraper from 1.2.66 to 1.2.67

d6f6264

Update phonenumbers from 8.13.3 to 8.13.4

8d4a1cc

Update pylint from 2.15.9 to 2.15.10

94a5e59

Update scipy from 1.9.3 to 1.10.0

757373d

Update thinc from 8.1.5 to 8.1.6

331c1cc

Update orjson from 3.8.3 to 3.8.4

3f920ff

Update yt-dlp from 2023.1.2 to 2023.1.6

8369d8e

Update limits from 2.8.0 to 3.1.4

d313e48

Update great-expectations from 0.15.41 to 0.15.42

dc8c3f2

rokm force-pushed the pyup-scheduled-update-2023-01-09 branch from 108b4e8 to dc8c3f2 Compare January 10, 2023 19:42

bwoodsend merged commit f902a0a into master Jan 10, 2023

bwoodsend deleted the pyup-scheduled-update-2023-01-09 branch January 10, 2023 22:39

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Scheduled weekly dependency update for week 02 #533

Scheduled weekly dependency update for week 02 #533

pyup-bot commented Jan 9, 2023

rokm commented Jan 10, 2023

bwoodsend commented Jan 10, 2023

Scheduled weekly dependency update for week 02 #533

Scheduled weekly dependency update for week 02 #533

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pyup-bot commented Jan 9, 2023

Update boto3 from 1.26.41 to 1.26.45.

1.26.45

1.26.44

1.26.43

1.26.42

Update botocore from 1.29.41 to 1.29.45.

1.29.45

1.29.44

1.29.43

1.29.42

Update cloudscraper from 1.2.66 to 1.2.67.

1.2.67

Update phonenumbers from 8.13.3 to 8.13.4.

8.13.4

Update pylint from 2.15.9 to 2.15.10.

Update scipy from 1.9.3 to 1.10.0.

1.10.0

Update thinc from 8.1.5 to 8.1.6.

8.1.6

Update web3 from 6.0.0b8 to 6.0.0b9.

6.0.0beta.9

Update orjson from 3.8.3 to 3.8.4.

3.8.4

Update yt-dlp from 2023.1.2 to 2023.1.6.

2023.01.06

Update limits from 2.8.0 to 3.1.4.

3.1.4

3.1.3

3.1.2

3.1.1

3.1.0

3.0.0

Update great-expectations from 0.15.41 to 0.15.42.

Update hydra-core from 1.3.0 to 1.3.1.

rokm commented Jan 10, 2023

bwoodsend commented Jan 10, 2023