Hapi is a Python library for building Conceptual Distributed Model using HBV96 lumped model & Muskingum routing method

Last update: Dec 26, 2022

Overview

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Current release info

Name	Downloads	Version	Platforms

Hapi - Hydrological library for Python

Hapi is an open-source Python Framework for building raster-based conceptual distributed hydrological models using HBV96 lumped model & Muskingum routing method at a catchment scale (Farrag & Corzo, 2021), Hapi gives a high degree of flexibility to all components of the model (spatial discretization - cell size, temporal resolution, parameterization approaches and calibration (Farrag et al., 2021)).

Hapi

Main Features

Modified version of HBV96 hydrological model (Bergström, 1992) with 15 parameters in case of considering snow processes, and 10 parameters without snow, in addition to 2 parameters of Muskingum routing method
Remote sensing module to download the meteorological inputs required for the hydrologic model simulation (ECMWF)
GIS modules to enable the modeler to fully prepare the meteorological inputs and do all the preprocessing needed to build the model (align rasters with the DEM), in addition to various methods to manipulate and convert different forms of distributed data (rasters, NetCDF, shapefiles)
Sensitivity analysis module based on the concept of one-at-a-time OAT and analysis of the interaction among model parameters using the Sobol concept ((Rusli et al., 2015)) and a visualization
Statistical module containing interpolation methods for generating distributed data from gauge data, some distribution for frequency analysis and Maximum likelihood method for distribution parameter estimation.
Visualization module for animating the results of the distributed model, and the meteorological inputs
Optimization module, for calibrating the model based on the Harmony search method

The recent version of Hapi (Hapi 1.0.1) integrates the global hydrological parameters obtained by Beck et al., (2016), to reduce model complexity and uncertainty of parameters.

IHE-Delft sessions

In April 14-15 we had a two days session for Masters and PhD student in IHE-Delft to explain the different modules and the distributed hydrological model in Hapi Day 1 , Day 2

Future work

Developing a regionalization method for connection model parameters with some catchment characteristics for better model calibration.
Developing and integrate river routing method (kinematic and diffusive wave approximation)
Apply the model for large scale (regional/continental) cases
Developing a DEM processing module for generating the river network at different DEM spatial resolutions.

For using Hapi please cite Farrag et al. (2021) and Farrag & Corzo (2021) References

Farrag, M. & Corzo, G. (2021) MAfarrag/Hapi: Hapi. doi:10.5281/ZENODO.4662170

Farrag, M., Perez, G. C. & Solomatine, D. (2021) Spatio-Temporal Hydrological Model Structure and Parametrization Analysis. J. Mar. Sci. Eng. 9(5), 467. doi:10.3390/jmse9050467 Link

Beck, H. E., Dijk, A. I. J. M. van, Ad de Roo, Diego G. Miralles, T. R. M. & Jaap Schellekens, and L. A. B. (2016) Global-scale regionalization of hydrologic model parameters-Supporting materials 3599–3622. doi:10.1002/2015WR018247.Received

Bergström, S. (1992) The HBV model - its structure and applications. Smhi Rh 4(4), 35.

Rusli, S. R., Yudianto, D. & Liu, J. tao. (2015) Effects of temporal variability on HBV model calibration. Water Sci. Eng. 8(4), 291–300. Elsevier Ltd. doi:10.1016/j.wse.2015.12.002

Installing hapi

Installing hapi from the conda-forge channel can be achieved by:

conda install -c conda-forge hapi

It is possible to list all of the versions of hapi available on your platform with:

conda search hapi --channel conda-forge

Install from Github

to install the last development to time you can install the library from github

pip install git+https://github.com/MAfarrag/HAPI

pip

to install the last release you can easly use pip

pip install HAPI-Nile

Quick start

  >>> import Hapi

other code samples

Comments

Minor bugs
Just a couple of bugs that need to be fixed:

In the module calibration.py line 204 it is necessary to change the function name Dist_model to HapiModel since the name of the function has been changed in the new version of Hapi 0.3.0.

In the module distparameters.py the arguments of the function par3dLumped should be (par_g,raster,no_parameters,no_lumped_par=None,lumped_par_pos=None,kub=1,klb=0.5,Maskingum = True):, although the variables no_lumped_par and lumped_par_pos are not needed (that's why it would be better to set them by default as None), but because the function SaveParameters states them in the line 707. So it's either change this last line mentioned or state them as None by default in the par3dLumped.

It would be good to add this line of code: if ".DS_Store" in files: files.remove(".DS_Store") under line 1947 on raster.py module to ensure MacOS compatibility. (That could be done where needed as well)
opened by juancotrino 2
install Hapi from YML file

gdal has to be installed from conda forge and when using YML file to create an environment the environment passes gdal to install from pip which conflict with python 3.7 (the only one that does not conflict with python 3.7 is conda forge version)
bug

opened by MAfarrag 2
Update matplotlib requirement from <3.6.0,>=3.4.2 to >=3.4.2,<3.7.0
Updates the requirements on matplotlib to permit the latest version.

Release notes

Sourced from matplotlib's releases.

REL: v3.6.2

This is the second bugfix release of the 3.6.x series.

This release contains several bug-fixes and adjustments:

Avoid mutating dictionaries passed to subplots

Fix bbox_inches='tight' on a figure with constrained layout enabled

Fix auto-scaling of ax.hist density with histtype='step'

Fix compatibility with PySide6 6.4

Fix evaluating colormaps on non-NumPy arrays

Fix key reporting in pick events

Fix thread check on PyPy 3.8

Handle input to ax.bar that is all NaN

Make rubber band more visible on Tk and Wx backends

Restore (and warn on) seaborn styles in style.library

Restore get_renderer function in deprecated tight_layout

nb/webagg: Fix resize handle on WebKit browsers (e.g., Safari)

Commits

dc0328f REL: v3.6.2

d05801e Merge branch 'v3.6.1-doc' into v3.6.x

7a9b9b6 DOC: Update GitHub stats for 3.6.2

4334ef8 Merge pull request #24341 from meeseeksmachine/auto-backport-of-pr-24301-on-v...

8334597 Backport PR #24301: Restore get_renderer function in deprecated tight_layout

8e3f120 Merge pull request #24337 from meeseeksmachine/auto-backport-of-pr-24238-on-v...

a55a2d6 Merge pull request #24336 from meeseeksmachine/auto-backport-of-pr-24335-on-v...

290eec7 Backport PR #24238: Update example and docstring to encourage the use of func...

f408034 Backport PR #24335: Fix missing word in ImageMagickWriter docstring.

831f145 Merge pull request #24330 from meeseeksmachine/auto-backport-of-pr-24282-on-v...

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dependencies
opened by dependabot[bot] 1
Update pyproj requirement from <=3.3.0,>=3.2.1 to >=3.2.1,<3.5.0
Updates the requirements on pyproj to permit the latest version.

Release notes

Sourced from pyproj's releases.

3.4.1 Release

What's Changed

WHL: Add win32 to build_wheels matrix by @molinav in pyproj4/pyproj#1169

BUG: Changed so that the setup.cfg depends on the version code in the init.py by @Scoppio in pyproj4/pyproj#1156

REF: Use upper case EPSG code when creating CRS by @snowman2 in pyproj4/pyproj#1162

BUG: Fix CRS.to_cf for Pole rotation GRIB convention by @snowman2 in pyproj4/pyproj#1167

BUG: Fix memory leak in CRS.list_authority by @skogler in pyproj4/pyproj#1178

BUG: Fix Transform options array length by @shadchin in pyproj4/pyproj#1187

DOC: fix a few typos by @ocefpaf in pyproj4/pyproj#1153

New Contributors

@Scoppio made their first contribution in pyproj4/pyproj#1156

@molinav made their first contribution in pyproj4/pyproj#1169

@skogler made their first contribution in pyproj4/pyproj#1178

@dependabot made their first contribution in pyproj4/pyproj#1185

@shadchin made their first contribution in pyproj4/pyproj#1187

Other contributions:

@sebastic - testing Debian builds

@jdkloe - testing Fedora builds

Full Changelog: https://github.com/pyproj4/pyproj/compare/3.4.0...3.4.1

Changelog

Sourced from pyproj's changelog.

3.4.1

WHL: Add win32 to build_wheels matrix (pull #1169)

BUG: Changed so that the setup.cfg depends on the version code in the init.py instead of the other way around (issuue #1155)

BUG: Fix :meth:.CRS.to_cf for Pole rotation GRIB convention (pull #1167)

BUG: Fix :meth:.CRS.to_authority memory leak (pull #1178)

REF: Use upper case EPSG code when creating CRS (pull #1162)

3.4.0

WHL: Python 3.11 Wheels (issue #1110)

WHL: Wheels contain PROJ 9.1.0 (pull #1132)

DEP: Minimum PROJ version 8.2 (issue #1011)

BUG: Fix transformer list for 3D transformations in :class:.TransformerGroup (discussion #1072)

ENH: Added authority, accuracy, and allow_ballpark kwargs to :class:.TransformerGroup (pull #1076)

ENH: Added force_over kwarg to :meth:.Transformer.from_crs (issue #997)

ENH: Added :meth:.Transformer.get_last_used_operation (issue #1071)

CLN: Remove deprecated skip_equivalent kwarg from transformers and errcheck kwarg from :meth:.CRS.from_cf (pull #1077)

REF: use regex to process PROJ strings in :meth:.CRS.to_dict (pull #1086)

BUG: :class:.MercatorAConversion defined only for lat_0 = 0 (issue #1089)

BUG: Add support for PROJ_DATA environment variable (issue #1097)

BUG: Ensure numpy masked arrays stay masked after projection (issue #1102)

BLD: Don't specify runtime_library_dirs on Cygwin (pull #1120)

BUG: Fix finding PROJ version with PROJ_LIB and PROJ 9.1+ (issue #1127)

3.3.1

WHL: Wheels for Linux are manylinux2014 (pip 19.3+)

BUG: Complete database stub file with query_utm_crs_info() signature (issue #1044)

BUG: Reorder deps in show_versions for setuptools issue (issue #1017)

BUG: remove CustomConstructorCRS @abstractmethod decorator (pull #1018)

BUG: Correct type annotation for AreaofUse.bounds (issue #1012)

BUG: :func:pyproj.datadir.get_data_dir support for conda Windows (issue #1029)

ENH: warn when :meth:pyproj.crs.CRS.to_wkt, :meth:pyproj.crs.CRS.to_proj4, or :meth:pyproj.crs.CRS.to_json() returns None (issue #1036)

ENH: Added support for int-like strings and numpy dtypes (issues #1026 and #1835)

ENH: Added support to pickle :class:pyproj.transformer.Transformer (issues #1058)

3.3.0

WHL: Wheels contain PROJ 8.2.0

DEP: Minimum supported Python version 3.8 (issue #930)

DEP: Minimum PROJ version 8.0 (issue #940)

BUG: Prepend "Derived" to CRS type name if CRS is derived (issue #932)

BUG: Improved handling of inf values in :meth:pyproj.transformer.Transformer.transform_bounds (pull #961)

BUG: CRS CF conversions mismatch of PROJ parameters in rotated pole (issue #948)

ENH: Add support for transforming bounds at the poles in :meth:pyproj.transformer.Transformer.transform_bounds (pull #962)

ENH: Added :attr:pyproj.transformer.Transformer.source_crs & :attr:pyproj.transformer.Transformer.target_crs (pull #976)

ENH: Added :class:pyproj.crs.coordinate_operation.PoleRotationNetCDFCFConversion (issue #948)

ENH: Added :func:pyproj.database.get_database_metadata (issue #990)

ENH: Added PROJ database metadata to :func:pyproj.show_versions (issue #990)

... (truncated)

Commits

4faef17 DOC: update changelog

2910db5 MNT: version 3.4.1

e972e19 MNT: version 3.4.1rc0

615a546 CI: Pin PROJ 9.1.0 for conda tests (#1197)

5424b97 MNT: Soft-deprecate Transformer.from_proj (#1196)

1834213 CI: Add Network + Global Context test (#1194)

ff82248 Add @shadchin as a contributor

7fcd1b3 Fix length options (#1187)

1e94248 Bump pypa/cibuildwheel from 2.9.0 to 2.11.2 (#1186)

878c838 Bump actions/upload-artifact from 2 to 3 (#1185)

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dependencies
opened by dependabot[bot] 1
Update numpy requirement from <1.21.5,>=1.21.2 to >=1.21.2,<1.24.1
Updates the requirements on numpy to permit the latest version.

Release notes

Sourced from numpy's releases.

v1.24.0

NumPy 1.24 Release Notes

The NumPy 1.24.0 release continues the ongoing work to improve the handling and promotion of dtypes, increase the execution speed, and clarify the documentation. There are also a large number of new and expired deprecations due to changes in promotion and cleanups. This might be called a deprecation release. Highlights are

Many new deprecations, check them out.

Many expired deprecations,

New F2PY features and fixes.

New "dtype" and "casting" keywords for stacking functions.

See below for the details,

This release supports Python versions 3.8-3.11.

Deprecations

Deprecate fastCopyAndTranspose and PyArray_CopyAndTranspose

The numpy.fastCopyAndTranspose function has been deprecated. Use the corresponding copy and transpose methods directly:

arr.T.copy()

The underlying C function PyArray_CopyAndTranspose has also been deprecated from the NumPy C-API.

(gh-22313)

Conversion of out-of-bound Python integers

Attempting a conversion from a Python integer to a NumPy value will now always check whether the result can be represented by NumPy. This means the following examples will fail in the future and give a DeprecationWarning now:

np.uint8(-1) np.array([3000], dtype=np.int8)

Many of these did succeed before. Such code was mainly useful for unsigned integers with negative values such as np.uint8(-1) giving np.iinfo(np.uint8).max.

Note that conversion between NumPy integers is unaffected, so that np.array(-1).astype(np.uint8) continues to work and use C integer overflow logic. For negative values, it will also work to view the array: np.array(-1, dtype=np.int8).view(np.uint8). In some cases,

... (truncated)

Commits

8cec820 Merge pull request #22813 from charris/prepare-1.24.0-release

8d33e68 REL: Prepare for the NumPy 1.24.0 release.

5ac09da Merge pull request #22815 from charris/backport-22814

df2d26f BLD: use newer version of delocate

e18104e Merge pull request #22805 from charris/backport-22804

6d44424 REV: revert change to numpyconfig.h for sizeof(type) hardcoding on macOS

c484593 Merge pull request #22795 from charris/backport-22791

0904c01 Change argument to npy_floatstatus_..._barrier() functions to ensure it

34653f9 Merge pull request #22793 from charris/backport-22789

21f7096 BUG: Fix infinite recursion in longdouble/large integer scalar ops

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dependencies
opened by dependabot[bot] 1
Update gdal requirement from <3.4.1,>=3.3.3 to >=3.3.3,<3.6.2
Updates the requirements on gdal to permit the latest version.

Release notes

Sourced from gdal's releases.

GDAL 3.6.1

Bug fix release. See release notes: https://github.com/OSGeo/gdal/blob/v3.6.1/NEWS.md

Warning: GDAL 3.6.1 officially retracts GDAL 3.6.0 which could cause corruption of the spatial index of GeoPackage files it created (in tables with 100 000 features or more): cf qgis/QGIS#51188 and OSGeo/gdal#6911. GDAL 3.6.1 fixes that issue. Setting OGR_GPKG_ALLOW_THREADED_RTREE=NO environment variable (at generation time) also works around the issue with GDAL 3.6.0. Users who have generated corrupted GeoPackage files with 3.6.0 can regnerate them with 3.6.1 with, for example, "ogr2ogr out_ok.gpkg in_corrupted.gpkg" (assuming a GeoPackage file with vector content only)

Changelog

Sourced from gdal's changelog.

GDAL/OGR 3.6.1 Release Notes

GDAL 3.6.1 is a bugfix release. It officially retracts GDAL 3.6.0 which could cause corruption of the spatial index of GeoPackage files it created (in tables with 100 000 features or more): cf qgis/QGIS#51188 and OSGeo/gdal#6911. GDAL 3.6.1 fixes that issue. Setting OGR_GPKG_ALLOW_THREADED_RTREE=NO environment variable (at generation time) also works around the issue with GDAL 3.6.0. Users who have generated corrupted GeoPackage files with 3.6.0 can regnerate them with 3.6.1 with, for example, "ogr2ogr out_ok.gpkg in_corrupted.gpkg" (assuming a GeoPackage file with vector content only)

Build

Fix build with -DOGR_ENABLE_DRIVER_GML=OFF (#6647)

Add build support for libhdf5 1.13.2 and 1.13.3 (#6657)

remove RECOMMENDED flag to BRUNSLI and QB3. Add it for CURL (cf spack/spack#33856)

configure.cmake: fix wrong detection of pread64 for iOS

FindSQLite3.cmake: add logic to invalidate SQLite3_HAS_ variables if the library changes

detect if sqlite3 is missing mutex support

Fix build when sqlite3_progress_handler() is missing

do not use Armadillo if it lacks LAPACK support (such as on Alpine)

make it a FATAL_ERROR if the user used -DGDAL_USE_ARMADILLO=ON and it can't be used

Fix static HDF4 libraries not found on Windows

Internal libjpeg: rename extra symbol for iOS compatibility (#6725)

gdaldataset: fix false-positive gcc 12.2.1 -O2 warning about truncation of buffer

Add minimal support for reading 12-bit JPEG images with libjpeg-turbo 2.2dev and internal libjpeg12

Fix detection of blosc version number

Add missing includes to fix build with upcoming gcc 13

GDAL 3.6.1

Port

CPLGetExecPath(): add MacOSX and FreeBSD implementations; prevent potential one-byte overflow on Linux&Windows

/vsiaz/: make AppendBlob operation compatible of Azurite (#6759)

/vsiaz/: accept Azure connection string with only BlobEndpoint and SharedAccessSignature (#6870)

S3: fix issue with EC2 IDMSv2 request failing inside Docker container with default networking

Algorithms

... (truncated)

Commits

6500333 Prepare for GDAL 3.6.1

8c2c9d9 Merge pull request #6917 from OSGeo/backport-6915-to-release/3.6

7538be4 Add missing <cstdint headers for uint*_t types

c997674 Merge pull request #6916 from OSGeo/backport-6911-to-release/3.6

25ecdaa Merge pull request #6914 from OSGeo/backport-6907-to-release/3.6

f25aee2 Merge pull request #6913 from OSGeo/backport-6906-to-release/3.6

c4f8495 GPKG: Add heuristics to try to detect corrupted RTree generated by GDAL 3.6.0...

aa069fc GPKG: add debug traces and testing for issue of https://github.com/qgis/QGIS/...

32d9462 GPKG: fix issue with StartTransaction() causing features to be omitted when c...

f2183a0 gdalwarp: speed-up warping with cutline when the source dataset or processing...

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dependencies
opened by dependabot[bot] 1
Update scikit-learn requirement from <1.0.2,>=0.24.2 to >=0.24.2,<1.2.1
Updates the requirements on scikit-learn to permit the latest version.

Release notes

Sourced from scikit-learn's releases.

Scikit-learn 1.2.0

We're happy to announce the 1.2.0 release.

You can read the release highlights under https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_2_0.html and the long version of the change log under https://scikit-learn.org/stable/whats_new/v1.2.html

This version supports Python versions 3.8 to 3.11.

Commits

dc580a8 Release 1.2.0 [cd build] (#25121)

c7d5f58 Release 1.2.0rc1 [cd build] (#25045)

c1cfc4d ENH Extend PDP for nominal categorical features (#18298)

7d1c318 DOC Update "Parallelism, resource management, and configuration" section (#24...

df14322 ENH Add interaction constraint shortcuts to HistGradientBoosting* (#24849)

f76ea1b DOC Add more details regarding the improved efficiency in 1.1 and 1.2 (#25043)

2459331 Fixes broken link for yu-shi MSC (#25040)

f196344 ENH Improves error message for mixed types for feature names (#25018)

1912ae5 DOC add displays in highlights (#25042)

40d7d88 FEA add PredictionErrorDisplay (#18020)

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dependencies
opened by dependabot[bot] 1
Update pandas requirement from <1.3.5,>=1.3.2 to >=1.3.2,<1.5.3
Updates the requirements on pandas to permit the latest version.

Release notes

Sourced from pandas's releases.

Pandas 1.5.2

This is a patch release in the 1.5.x series and includes some regression and bug fixes. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes.

The release will be available on the defaults and conda-forge channels:

conda install pandas

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

Thanks to all the contributors who made this release possible.

Commits

8dab54d RLS: 1.5.2

d78c5e6 Backport PR #49806 on branch 1.5.x (DOC: Update what's new notes for 1.5.2 re...

98c6139 Backport PR #49579 on Branch 1.5.x (BUG: Behaviour change in 1.5.0 when using...

9196f8d Backport PR STYLE enable pylint: method-cache-max-size-none (#49784)

8c4b559 Backport PR #49776 on branch 1.5.x (REGR: arithmetic ops recursion error with...

1616fb3 Backport PR Revert "Add color and size to arguments (#44856)" (#49752)

6f8e174 Backport PR #49720 on branch 1.5.x (Suppress spurious warning) (#49726)

63a91d0 Backport PR #49676 on branch 1.5.x (REGR: Remove groupby's getattribute f...

136271a Backport PR #49615 on branch 1.5.x (REGR: Better warning in pivot_table when ...

c9252cf Backport PR #49614 on branch 1.5.x (CI: Updating website sync to new server) ...

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dependencies
opened by dependabot[bot] 1
Update numpy requirement from <1.21.5,>=1.21.2 to >=1.21.2,<1.23.6
Updates the requirements on numpy to permit the latest version.

Release notes

Sourced from numpy's releases.

v1.23.5

NumPy 1.23.5 Release Notes

NumPy 1.23.5 is a maintenance release that fixes bugs discovered after the 1.23.4 release and keeps the build infrastructure current. The Python versions supported for this release are 3.8-3.11.

Contributors

A total of 7 people contributed to this release. People with a "+" by their names contributed a patch for the first time.

@DWesl

Aayush Agrawal +

Adam Knapp +

Charles Harris

Navpreet Singh +

Sebastian Berg

Tania Allard

Pull requests merged

A total of 10 pull requests were merged for this release.

#22489: TST, MAINT: Replace most setup with setup_method (also teardown)

#22490: MAINT, CI: Switch to cygwin/[email protected]

#22494: TST: Make test_partial_iteration_cleanup robust but require leak...

#22592: MAINT: Ensure graceful handling of large header sizes

#22593: TYP: Spelling alignment for array flag literal

#22594: BUG: Fix bounds checking for random.logseries

#22595: DEV: Update GH actions and Dockerfile for Gitpod

#22596: CI: Only fetch in actions/checkout

#22597: BUG: Decrement ref count in gentype_reduce if allocated memory...

#22625: BUG: Histogramdd breaks on big arrays in Windows

Checksums

MD5

8a412b79d975199cefadb465279fd569 numpy-1.23.5-cp310-cp310-macosx_10_9_x86_64.whl 1b56e8e6a0516c78473657abf0710538 numpy-1.23.5-cp310-cp310-macosx_11_0_arm64.whl c787f4763c9a5876e86a17f1651ba458 numpy-1.23.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl db07645022e56747ba3f00c2d742232e numpy-1.23.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl c63a6fb7cc16a13aabc82ec57ac6bb4d numpy-1.23.5-cp310-cp310-win32.whl 3fea9247e1d812600015641941fa273f numpy-1.23.5-cp310-cp310-win_amd64.whl 4222cfb36e5ac9aec348c81b075e2c05 numpy-1.23.5-cp311-cp311-macosx_10_9_x86_64.whl 6c7102f185b310ac70a62c13d46f04e6 numpy-1.23.5-cp311-cp311-macosx_11_0_arm64.whl 6b7319f66bf7ac01b49e2a32470baf28 numpy-1.23.5-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 3c60928ddb1f55163801f06ac2229eb0 numpy-1.23.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 6936b6bcfd6474acc7a8c162a9393b3c numpy-1.23.5-cp311-cp311-win32.whl

... (truncated)

Commits

de82cd9 Merge pull request #22626 from charris/prepare-1.23.5-release

9c7ac34 REL: Prepare for the NumPy 1.23.5 Release.

2c4cf9a Merge pull request #22625 from charris/backport-22561

dcd9404 BUG: Histogramdd breaks on big arrays in Windows (#22561)

bb5e3a6 Merge pull request #22597 from charris/backport-22557

0d3d500 Merge pull request #22596 from charris/backport-22503

38fe21f Merge pull request #22595 from charris/backport-22452

45329c1 Merge pull request #22593 from charris/backport-22447

3ca02ce Merge pull request #22594 from charris/backport-22450

8cededd Merge pull request #22592 from charris/backport-22393

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dependencies
opened by dependabot[bot] 1
Update netcdf4 requirement from <1.5.9,>=1.5.5 to >=1.5.5,<1.6.3
Updates the requirements on netcdf4 to permit the latest version.

Changelog

Sourced from netcdf4's changelog.

version 1.6.2 (tag v1.6.2rel)

Added netCDF4.__has_set_alignment__ property to help identify if the underlying netcdf4 supports setting the HDF5 alignment.

Slicing multi-dimensional variables with an all False boolean index array now returns an empty numpy array (instead of raising an exception - issue #1197). Behavior now consistent with numpy slicing.

fix problem with compiling using netcdf-c < 4.9.0 (issue #1209)

version 1.6.1 (tag v1.6.1rel)

add Dataset methods has__filter (where =zstd,blosc,bzip2,szip) to check for availability of extra compression filters.

release GIL for all C-lib calls (issue #1180).

Add support for nc_set_alignment and nc_get_alignment to control alignment of data within HDF5 files.

version 1.6.0 (tag v1.6.0rel)

add support for new quantization functionality in netcdf-c 4.9.0 via "signficant_digits" and "quantize_mode" kwargs in Dataset.createVariable. Default quantization_mode is "BitGroom", but alternate methods "BitRound" and GranularBitRound" also supported.

opening a Dataset in append mode (mode = 'a' or 'r+') creates a Dataset if one does not already exist (similar to python open builtin). Issue #1144. Added a mode='x' option (as in python open) which is the same as mode='w' with clobber=False.

allow createVariable to accept either Dimension instances or Dimension names in "dimensions" tuple kwarg (issue #1145).

remove all vestiges of python 2 in _netCDF4.pyx and set cython language_level directive to 3 in setup.py.

add 'compression' kwarg to createVariable to enable new compression functionality in netcdf-c 4.9.0. 'None','zlib','szip','zstd','bzip2' 'blosc_lz','blosc_lz4','blosc_lz4hc','blosc_zlib' and 'blosc_zstd' are currently supported. 'blosc_shuffle', 'szip_mask' and 'szip_pixels_per_block' kwargs also added. compression='zlib' is equivalent to (the now deprecated) zlib=True. If the environment variable NETCDF_PLUGIN_DIR is set to point to the directory with the compression plugin lib__nc* files, then the compression plugins will be installed within the package and be automatically available (the binary wheels have this). Otherwise, the environment variable HDF5_PLUGIN_PATH needs to be set at runtime to point to plugins in order to use the new compression options.

MFDataset did not aggregate 'name' variable attribute (issue #1153).

issue warning instead of raising an exception if missing_value or _FillValue can't be cast to the variable type when creating a masked array (issue #1152).

Define MPI_Session for compatibility with current mpi4py (PR #1156).

version 1.5.8 (tag v1.5.8rel)

... (truncated)

Commits

fe1e8ec Merge pull request #1212 from Unidata/v1.6.2rel

9ff2986 prepare for v1.6.2 release

dd744a3 Merge pull request #1210 from Unidata/issue1209

c5b630a revert

e0fed04 try again

6cba9d2 update

fb9cdc7 try again

8540310 add debug prints

82f4acb test setting MPI4PY_INCLUDE in environment

d4001e5 update

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dependencies
opened by dependabot[bot] 1
Update gdal requirement from <3.4.1,>=3.3.3 to >=3.3.3,<3.6.1
Updates the requirements on gdal to permit the latest version.

Release notes

Sourced from gdal's releases.

GDAL 3.6.0

CMake is the only build system available in-tree. autoconf and nmake build systems have been removed

OpenFileGDB: write and update support (v10.x format only), without requiring any external dependency, with same (and actually larger) functional scope as write side of the FileGDB driver

RFC 86: Column-oriented read API for vector layers. Implemented in core, Arrow, Parquet, GPKG and FlatGeoBuf drivers

Add read/write raster JPEGXL driver for standalone JPEG-XL files. Requires libjxl

Add KTX2 and BASISU read/write raster drivers for texture formats. Require (forked) basisu library

Vector layer API: table relationship discovery & creation, Upsert() operation

GeoTIFF: add multi-threaded read capabilities (reqiures NUM_THREADS open option or GDAL_NUM_THREADS configuration option to be set)

Multiple performance improvements in GPKG driver

ogr_layer_algebra.py: promoted to official script (#1581)

Code linting and security fixes

Bump of shared lib major version

Full release notes at https://github.com/OSGeo/gdal/blob/v3.6.0/NEWS.md

Changelog

Sourced from gdal's changelog.

GDAL/OGR 3.6.0 Release Notes

Those notes include changes since GDAL 3.5.0, but not already included in a GDAL 3.5.x bugfix release.

In a nutshell...

CMake is the only build system available in-tree. autoconf and nmake build systems have been removed

OpenFileGDB: write and update support (v10.x format only), without requiring any external dependency, with same (and actually larger) functional scope as write side of the FileGDB driver

RFC 86: Column-oriented read API for vector layers. Implemented in core, Arrow, Parquet, GPKG and FlatGeoBuf drivers

Add read/write raster JPEGXL driver for standalone JPEG-XL files. Requires libjxl

Add KTX2 and BASISU read/write raster drivers for texture formats. Require (forked) basisu library

Vector layer API: table relationship discovery & creation, Upsert() operation

GeoTIFF: add multi-threaded read capabilities (reqiures NUM_THREADS open option or GDAL_NUM_THREADS configuration option to be set)

Multiple performance improvements in GPKG driver

ogr_layer_algebra.py: promoted to official script (#1581)

Code linting and security fixes

Bump of shared lib major version

New optional dependencies

libjxl: for JPEGXL driver (it was already a potential dependency in past versions, when using internal libtiff, to get the JXL TIFF codec)

libarrow_dataset: for Parquet driver

QB3: for QB3 codec in MRF driver

basisu: required for KTX2 and BASISU drivers

New installed files

bin/ogr_layer_algebra.py

include/ogr_recordbatch.h

Removed installed files

None

Backward compatibility issues

See MIGRATION_GUIDE.TXT

Build changes

Enhancements:

Add version suffix to DLL when compiling for MinGW target

Add a -DBUILD_WITHOUT_64BIT_OFFSET advanced option (#5941)

Add a USE_ALTERNATE_LINKER option

Build iso8211 library conditionally to drivers requiring it

Fixes:

Fix build without PNG (#5742) and JPEG (#5741)

Various changes for CHERI-extended architectures such CHERI-RISC-V or Arm Morello with sizeof(void*) == 16

... (truncated)

Commits

b77481c Update for 3.6.0rc2

7690a74 NEWS.md: update for 3.6.0rc2

c6bab7c typo fixes

6ce6376 docker/alpine-normal: update dependencies, add libjxl and libkml deps [ci skip]

58d46fd cppcheck fixes

368e1e0 Merge pull request #6629 from OSGeo/backport-6628-to-release/3.6

de77c8f Add missing #include <algorithm> for std::min/std::max uses, and #include <li...

b7f4bb1 Merge pull request #6627 from OSGeo/backport-6623-to-release/3.6

bb05d40 GPKG: add compatibility with GPKG 1.0 gpkg_data_column_constraints table

f987d20 Merge pull request #6626 from OSGeo/backport-6625-to-release/3.6

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dependencies
opened by dependabot[bot] 1

Releases(1.4.0)

1.4.0(Dec 31, 2022)
remove Fiona and the reading file exception using fion

unify reading results of rainfall-runoff model in the readRRMResults, ReadLaterals, ReadUSHydrographs

refactor code and change methods to camelcase

add hydrodynamic model 1d config file read function

simplify functions with too many parameters using decorator

add automatic PyPI build and publish GitHub actions

Source code(tar.gz)
Source code(zip)
1.3.5(Dec 27, 2022)
fix pypi package names in the requirements.txt file for all internal packages

fix python version number

tests are all passing

Source code(tar.gz)
Source code(zip)
1.3.4(Dec 26, 2022)
merge two function readLaterals and readRRMProgression, rename RRMProgression to routedRRM

Source code(tar.gz)
Source code(zip)
1.3.3(Dec 26, 2022)
use joblib to parallelize reading laterals in the hydraulic model

Source code(tar.gz)
Source code(zip)
1.3.2(Dec 26, 2022)
remove parameters from the package and retrieve them with the parameter package.

Source code(tar.gz)
Source code(zip)
1.3.1(Sep 25, 2022)

-replace setup.py by pyproject.toml
Source code(tar.gz)
Source code(zip)
1.3.0(Jun 6, 2022)
move all sub-modules to separate packages

leave only rrm, hm, and plot submodules

Source code(tar.gz)
Source code(zip)
1.2.3(May 23, 2022)

Source code(tar.gz)
Source code(zip)
1.2.2(May 18, 2022)

Source code(tar.gz)
Source code(zip)
1.2.1(May 18, 2022)

add requirement.txt to setup.py
Source code(tar.gz)
Source code(zip)
1.2.0(May 15, 2022)

Source code(tar.gz)
Source code(zip)
1.1.2(May 16, 2022)

Source code(tar.gz)
Source code(zip)
1.1.1(May 16, 2022)

Source code(tar.gz)
Source code(zip)
1.1.0(May 16, 2022)

Source code(tar.gz)
Source code(zip)
1.0.5(Dec 4, 2021)

fix gdal import and use libraries version numbers
Source code(tar.gz)
Source code(zip)
HAPI-Nile-1.0.5.tar.gz(237.90 KB)
HAPI_Nile-1.0.5-py3-none-any.whl(16.13 MB)
1.0.4(Apr 14, 2021)
check all examples & fix bugs

Source code(tar.gz)
Source code(zip)
1.0.3(Apr 11, 2021)

Fix bugs in the raster module
Source code(tar.gz)
Source code(zip)
1.0.2(Apr 7, 2021)
Hapi - Hydrological library for Python Hapi is an open-source Python Framework for building raster-based conceptual distributed hydrological models using HBV96 lumped model & Muskingum routing method at a catchment scale, Hapi gives a high degree of flexibility to all components of the model (spatial discretization - cell size, temporal resolution, parameterization approaches, and calibration).

Hapi

Main Features

Modified version of HBV96 hydrological model (BergstrÃ¶m, 1992) with 15 parameters in case of considering snow processes, and 10 parameters without snow, in addition to 2 parameters of Muskingum routing method

Remote sensing module to download the meteorological inputs required for the hydrologic model simulation (ECMWF)

GIS modules to enable the modeler to fully prepare the meteorological inputs and do all the preprocessing needed to build the model (align rasters with the DEM), in addition to various methods to manipulate and convert different forms of distributed data (rasters, NetCDF, shapefiles)

Sensitivity analysis module based on the concept of one-at-a-time OAT and analysis of the interaction among model parameters using the Sobol concept ((Rusli et al., 2015)) and a visualization

Statistical module containing interpolation methods for generating distributed data from gauge data, some distribution for frequency analysis and Maximum likelihood method for distribution parameter estimation.

Visualization module for animating the results of the distributed model, and the meteorological inputs

Optimization module, for calibrating the model based on the Harmony search method

The recent version of Hapi (Hapi 1.0.1) integrates the global hydrological parameters obtained by Beck et al., (2016), to reduce model complexity and uncertainty of parameters.

Future work

Developing a regionalization method for connection model parameters with some catchment characteristics for better model calibration.

Developing and integrate river routing method (kinematic and diffusive wave approximation)

Apply the model for large scale (regional/continental) cases

Developing a DEM processing module for generating the river network at different DEM spatial resolutions.

Source code(tar.gz)
Source code(zip)
1.0.1(Apr 7, 2021)

Source code(tar.gz)
Source code(zip)
1.0.0(Apr 4, 2021)

Source code(tar.gz)
Source code(zip)
V0.2-alpha(May 11, 2020)

Source code(tar.gz)
Source code(zip)
V0.1-alpha(Feb 18, 2019)

Source code(tar.gz)
Source code(zip)

Hapi is a Python library for building Conceptual Distributed Model using HBV96 lumped model & Muskingum routing method

Related tags

Overview

Current build status

Current release info

Hapi - Hydrological library for Python

Main Features

IHE-Delft sessions

Future work

For using Hapi please cite Farrag et al. (2021) and Farrag & Corzo (2021) References

Installing hapi

Install from Github

pip

Quick start

Comments

REL: v3.6.2

3.4.1 Release

What's Changed

New Contributors

Other contributions:

3.4.1

3.4.0

3.3.1

3.3.0

v1.24.0

NumPy 1.24 Release Notes

Deprecations

Deprecate fastCopyAndTranspose and PyArray_CopyAndTranspose

Conversion of out-of-bound Python integers

GDAL 3.6.1

GDAL/OGR 3.6.1 Release Notes

Build

GDAL 3.6.1

Port

Algorithms

Scikit-learn 1.2.0

Pandas 1.5.2

v1.23.5

NumPy 1.23.5 Release Notes

Contributors

Pull requests merged

Checksums

MD5

version 1.6.2 (tag v1.6.2rel)

version 1.6.1 (tag v1.6.1rel)

version 1.6.0 (tag v1.6.0rel)

version 1.5.8 (tag v1.5.8rel)

GDAL 3.6.0

GDAL/OGR 3.6.0 Release Notes

In a nutshell...

New optional dependencies

New installed files

Removed installed files

Backward compatibility issues

Build changes

Releases(1.4.0)

1.4.0(Dec 31, 2022)

1.3.5(Dec 27, 2022)

1.3.4(Dec 26, 2022)

1.3.3(Dec 26, 2022)

1.3.2(Dec 26, 2022)

1.3.1(Sep 25, 2022)

1.3.0(Jun 6, 2022)

1.2.3(May 23, 2022)

1.2.2(May 18, 2022)

1.2.1(May 18, 2022)

1.2.0(May 15, 2022)

1.1.2(May 16, 2022)

1.1.1(May 16, 2022)

1.1.0(May 16, 2022)

1.0.5(Dec 4, 2021)

1.0.4(Apr 14, 2021)

1.0.3(Apr 11, 2021)

1.0.2(Apr 7, 2021)

1.0.1(Apr 7, 2021)

1.0.0(Apr 4, 2021)

V0.2-alpha(May 11, 2020)

V0.1-alpha(Feb 18, 2019)

Owner

Mostafa Farrag