dmpe

View on PyPIReverse Dependencies (0)

0.1.1 dmpe-0.1.1-py3-none-any.whl

Wheel Details

Project: dmpe
Version: 0.1.1
Filename: dmpe-0.1.1-py3-none-any.whl
Download: [link]
Size: 49620
MD5: 0566a22536c4168ddc05c4df3d198413
SHA256: 2913da96e43bc143540d231dbf1617cb27f97452bb2d7c16ca07ad0936a0705a
Uploaded: 2024-10-08 13:32:01 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: dmpe
Version: 0.1.1
Summary: Excitation of exciting systems through differentiable predictive excitation
Author-Email: Hendrik Vater <vater[at]lea.uni-paderborn.de>
Project-Url: Homepage, https://github.com/hvater/DMPE
Project-Url: Issues, https://github.com/hvater/DMPE/issues
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: POSIX :: Linux
Requires-Python: >=3.11
Requires-Dist: numpy (==1.26.4)
Requires-Dist: scipy (==1.13.1)
Requires-Dist: matplotlib (==3.9.0)
Requires-Dist: tqdm (==4.66.4)
Requires-Dist: jax[cuda12] (==0.4.28)
Requires-Dist: jaxlib (==0.4.28)
Requires-Dist: equinox (==0.11.4)
Requires-Dist: diffrax (==0.5.1)
Requires-Dist: optax (==0.2.3)
Requires-Dist: dm-haiku (==0.0.12)
Requires-Dist: pymoo (==0.6.1.1)
Requires-Dist: exciting-environments (==0.1.1)
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 3768 characters]

WHEEL

Wheel-Version: 1.0
Generator: setuptools (75.1.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
dmpe/__init__.py sha256=OCW5nY56nh7YFmvZMUbht1Ju3Q0AyAruwdyW6rLHz5o 78
dmpe/algorithms/__init__.py sha256=OZf9HW-q_1d5G2gQxx3ty8vZtFNjdkCooEGmHQBwHIM 86
dmpe/algorithms/algorithm_utils.py sha256=LPEoNsxom9_7gdbriRojK9NdGQ7NIsj-JwIYFT8nwGw 4317
dmpe/algorithms/algorithms.py sha256=HzYSz5_AgXXaNXFnMP4L60ISqE1EXl6oWmdw8b0KPNA 9547
dmpe/evaluation/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
dmpe/evaluation/experiment_utils.py sha256=K8NljtTCAN5YfpkYtS851fhqfycDSHpiDeLsHMGFl34 8636
dmpe/evaluation/metrics_utils.py sha256=00SMMDEUL27daZlS9mw8BmAflIf2beFhhvmoCy7ZLa0 3432
dmpe/evaluation/plotting_utils.py sha256=xRFM9g51Surj_BazHKuSL3hsgRKmdUgKScN7AJGBea4 10063
dmpe/excitation/__init__.py sha256=YHfoorCElZ3UwwyRT1lVbw47YyP0zkJvKNsnMQc-j9g 53
dmpe/excitation/excitation_utils.py sha256=LiGGgKh7Y4pKeIFSqL1-IpDqM0u8kWOzTMt2PbN5liE 9049
dmpe/models/__init__.py sha256=YPgWg26Y7qgqS2SxYl1Kd1xs4tvgSrqdOATT4TirrGo 113
dmpe/models/model_training.py sha256=bE3_6GdzFZweUkIjNfqtFrNurSDPmlpL-8hyQF3Lueg 4987
dmpe/models/model_utils.py sha256=MzXG4tfdBNKvsml9cBcE7koJMbDjPWJG0nEyPTLGaIM 6003
dmpe/models/models.py sha256=iwL9H9edj64Vsiuq36zyqFig1gikNktYqvHiGAFVaQ8 3414
dmpe/related_work/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
dmpe/related_work/algorithms.py sha256=jIQzlRICbl-X74TTSZ4ibA96b_n9vnfnpDnwam-qE48 12404
dmpe/related_work/excitation_utils.py sha256=3RllHxB5V4PXrsb4mYtKXLRb7BubMZRPIjCwQcPHt1o 16616
dmpe/related_work/mixed_GA.py sha256=rt40LC4UIZgaYH-YcqqHW4XqA2fkL-x_85po9_Lgf1U 5249
dmpe/related_work/multitasking_tsp.py sha256=MdXKQ5ExakosDXX22xZhEinHM9A-tEWmTE7QIxTimXk 3572
dmpe/related_work/np_reimpl/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
dmpe/related_work/np_reimpl/env_utils.py sha256=arf30tyiPSjLUiqF5X2s9hd30y3M-5kvWP53ccf7EaY 323
dmpe/related_work/np_reimpl/metrics.py sha256=W29yPalAw424woBsesT1jiLQlp5K-T3mRGPkfe7-hzM 6058
dmpe/utils/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
dmpe/utils/density_estimation.py sha256=z-aDqTA0cceizZd08pZHhB9bVv_IRAgrqLsWOpD6vAo 5971
dmpe/utils/metrics.py sha256=MsaNpBHD1uEo1ic7-XzCjhOFhijmuD36lFAaDfuIVjY 5227
dmpe/utils/signals.py sha256=HmaMQVaMI1Ka2yXtY98XSRDFIcr7Ko05lBpVc_JBS48 1002
dmpe-0.1.1.dist-info/LICENSE sha256=OXLcl0T2SZ8Pmy2_dmlvKuetivmyPd5m1q-Gyd-zaYY 35149
dmpe-0.1.1.dist-info/METADATA sha256=DpTmNiLjoFhSCRuUKQXlCEYF-M1YSIQ-4rGcxNrRmAg 4644
dmpe-0.1.1.dist-info/WHEEL sha256=GV9aMThwP_4oNCtvEC2ec3qUYutgWeAzklro_0m4WJQ 91
dmpe-0.1.1.dist-info/top_level.txt sha256=PNtZ8hIWxqGF7YOJiEsQ8qGuhrfipC8UCXp-OXcM3vM 5
dmpe-0.1.1.dist-info/RECORD

top_level.txt

dmpe