pararealml
View on PyPI — Reverse Dependencies (0)
0.3.0 | pararealml-0.3.0-py3-none-any.whl |
Wheel Details
Project: | pararealml |
Version: | 0.3.0 |
Filename: | pararealml-0.3.0-py3-none-any.whl |
Download: | [link] |
Size: | 169306 |
MD5: | c756a52f4a7128e788cdb86173b62ec5 |
SHA256: | 2859309ab7d76bb94f79b070ed18f9c6d684dd67e49ce7db5272feebbd2080f6 |
Uploaded: | 2023-01-08 01:13:00 +0000 |
dist-info
METADATA · WHEEL · RECORD · top_level.txt
METADATA
WHEEL
Wheel-Version: | 1.0 |
Generator: | bdist_wheel (0.37.0) |
Root-Is-Purelib: | true |
Tag: | py3-none-any |
RECORD
Path | Digest | Size |
---|---|---|
experiments/__init__.py | sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU | 0 |
experiments/donut.py | sha256=mb5f30Wvkzv2vMKbVu8fr-HR5nUXQbKV8MZvjCtKokM | 1215 |
experiments/burger/__init__.py | sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU | 0 |
experiments/burger/data_generation_ar.py | sha256=9ShIyJsIio0o3ckxxXsuzX10mLIFZcOno1NfPjj5aCU | 2471 |
experiments/burger/data_generation_pidon.py | sha256=DhGQdm7AIE9sN-5Wz6iO1l7qIcEwgMgQYhJ59HsctGQ | 3183 |
experiments/burger/inference.py | sha256=hxHABXrqB1EhQUDpPxkx-9JW4awIPUyoXxvLa3ybcjc | 5319 |
experiments/burger/ivp.py | sha256=Vm--Zmb3XcTn_oBfTFf6mioxyYIT8JxuN2TzYopsREg | 909 |
experiments/burger/operators.py | sha256=3afmntYYquKcF1OT2VGujkY_PaFJALELLNMhXUDEzTc | 4140 |
experiments/burger/parareal_accuracy.py | sha256=sPXXTY890YyrSmEBo05rgj-adSCIqidCjRMdUSdrMPw | 3791 |
experiments/burger/training_ar.py | sha256=m0Vh-sGGIlhZOwQw1bGVj1VuNjc3gMqfjdOie0HIdFU | 1662 |
experiments/burger/training_pidon.py | sha256=nNKHW_qs8_6mKqniNW7GWCYrAkFn9v0evk6kw0jmJU4 | 2098 |
experiments/diffusion/__init__.py | sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU | 0 |
experiments/diffusion/data_generation_ar.py | sha256=vwRWR9rPT23v6dFx4Ey6K2DDxETDgt5jWwl2kjPSxUU | 1463 |
experiments/diffusion/data_generation_pidon.py | sha256=MF0rRAORRJaQ_hv4Pt9ooIovu56YFb2WmOuCNd5PM3k | 1954 |
experiments/diffusion/inference.py | sha256=wgkOHH_5wSSN3UeOasiLwXW0cMjo_TjTKnG6J3txzc4 | 5375 |
experiments/diffusion/ivp.py | sha256=rQ5F4xhlqrkIQSlxk47JNlLhir6MQfiZs_csk41ZyYE | 1117 |
experiments/diffusion/operators.py | sha256=mXlBUQ4w5zeIOWnwlPvC61971NnzrboT3dPnxNw0D3s | 3479 |
experiments/diffusion/parareal_accuracy.py | sha256=9hxWxCOzSj726Z5XwejQt0iaZeQti_u89qY98UTpr28 | 3882 |
experiments/diffusion/training_ar.py | sha256=Z1CqOGNWyGxnbezUllW145VlLxe9GGtZVFnGyMTVhxw | 1620 |
experiments/diffusion/training_pidon.py | sha256=v9O_C4sHx-lDkpSzA1zJKSStH4PYgd77R9TeZgqFGrw | 2094 |
experiments/diffusion_1d/__init__.py | sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU | 0 |
experiments/diffusion_1d/data_generation_ar.py | sha256=wbAIt4kmq9G0SSgkxa7gSZOv-6eB4rEDJtQTUDz1R4A | 1195 |
experiments/diffusion_1d/inference.py | sha256=mKbU8IeJKs6RW4HZrOw5zeqZeVPbUuMSM79jmjjCrdE | 3829 |
experiments/diffusion_1d/ivp.py | sha256=H54ZZoWEooHg-nFT7pMbMPk1RDPh8IC_3VqzNJ_U72c | 701 |
experiments/diffusion_1d/operators.py | sha256=cxH8osf580vgh-X-gMk_jP3q1tV8C2Sq-mBgGOQpmo4 | 1392 |
experiments/diffusion_1d/parareal_accuracy.py | sha256=qP0E8OX9AIPxXXC_9sV9BDKgWOxlZFFRJlcuRWEdHRo | 1625 |
experiments/diffusion_1d/plotting.py | sha256=rm0mQkoMg5mMisvAdV5CAFRlCjU6iaeEd7DqVLQ0rxo | 10472 |
experiments/diffusion_1d/training.py | sha256=MIBXixc5EqzNwNtH25NBx2_HAgBe-m5mEWsLI7eZZLA | 2848 |
experiments/diffusion_1d/training_ar.py | sha256=AG2u42_i1WLRyrE93A6Ur0-40fgiVivGSaeeh5DNPCI | 1425 |
experiments/diffusion_1d/training_pidon.py | sha256=PPESK1fo15kVSZJ3wi2aYTlZLET_BVw_GS2iQFD7_2s | 2552 |
experiments/population_growth/__init__.py | sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU | 0 |
experiments/population_growth/data_generation_ar.py | sha256=uxfKWg2h-RIVuhvI0v5xfKrIUCnT0kAVLyX0DWEKlyI | 818 |
experiments/population_growth/data_generation_pidon.py | sha256=WUAdj55JCXVXG-WZIEK6v3pkR7tX9BjwW-ZLPmMXVok | 1385 |
experiments/population_growth/inference.py | sha256=2SSDGpmOM-RGsLmqLn06fGx65UtsOGEjZEQ8HlloF8g | 5308 |
experiments/population_growth/ivp.py | sha256=YZlESTeOuymr18-Xqq_PJQkV0DFg41PDlxlmZcoxI-E | 436 |
experiments/population_growth/operators.py | sha256=ZR1CnphXRSUkeITO8WU8suFKRYo4KGjRkawnIulPRRw | 2507 |
experiments/population_growth/parareal_accuracy.py | sha256=WjNoltkc3lAEUhara1Hiwkd-9RE_a-XafqqXpCDxSQU | 3697 |
experiments/population_growth/plotting.py | sha256=qqA_RQUoyPgwR1UMt1qVES_g7GfifEbjnr1imDSp2AU | 11243 |
experiments/population_growth/training.py | sha256=fZq9MnNXVApbf1-qJoN_0Z5XRLLown42x4LqgKb4Mpk | 3685 |
experiments/population_growth/training_ar.py | sha256=IvAM4LPj8XoCRA_nIC2098fHSL2AKmWMGuJJyYL0LAo | 1583 |
experiments/population_growth/training_pidon.py | sha256=h7Z-37apmuNTfr8uhjtyKFFcnZNAHC10Xn30LiYYc08 | 1942 |
experiments/van_der_pol/__init__.py | sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU | 0 |
experiments/van_der_pol/data_generation_ar.py | sha256=mWE6WnLM7s1RZRi61OlLTDG6grH-SxqhPb91GrZTO90 | 857 |
experiments/van_der_pol/data_generation_pidon.py | sha256=mrGLQyOqN5V69xyVoj9CXErFij4cyhVQaGypyYGoxMU | 1366 |
experiments/van_der_pol/inference.py | sha256=SoICA4duloN3_Al52TV0J01i7CKmAZqy5ZKdYN8R7YA | 5312 |
experiments/van_der_pol/ivp.py | sha256=_xDHy1kBzr7G3F_u5Eyo9anymijBa6--rS0oQEIJgF4 | 426 |
experiments/van_der_pol/operators.py | sha256=T2TchozXLpijarVtak-SS_W2GeHPqqTQpv8U4QoZbps | 2162 |
experiments/van_der_pol/parareal_accuracy.py | sha256=o7vWxe-K4L5FGMSzxaUOB77qWJszpoNQ71sHYwU-TNA | 3685 |
experiments/van_der_pol/training_ar.py | sha256=GNOeajAGQqt0Y5dINQFx9rdc5xuX117OpqZSimuoDYg | 1598 |
experiments/van_der_pol/training_pidon.py | sha256=uwK0bPcSzbFDzq2pLFrx67ar2Tz-iHrn5A3aMbHjXKQ | 1914 |
pararealml/__init__.py | sha256=XcbGNPhBk4u4a2EAsFh-7qn1dGkrFN1duT-jhuAblRs | 3313 |
pararealml/boundary_condition.py | sha256=X26mGyXai0uZfPC1Dp8HhpHrBsLbJQbxZNcOA4pGDKs | 10440 |
pararealml/constrained_problem.py | sha256=uuGHsQsmK3OXSQMYYHXkoZ5wo-CXQuDGAg7xf-906uk | 18696 |
pararealml/constraint.py | sha256=tbEtazqbnrKTBrYm5YIqxG9w4KZxCLZYE04FaX92PiY | 4460 |
pararealml/differential_equation.py | sha256=aqsPTn2Tab7pWBpihE1nDxRm1Cv8wgpqG2IShTEjN8c | 29061 |
pararealml/initial_condition.py | sha256=KdI3_f2lQieCAxv5NwZMFT_pFLshsAKgGVHOGKMj568 | 15335 |
pararealml/initial_value_problem.py | sha256=dkxXUV5heUfS_y4-CIzTn992ZV2ITNRPt59LF4vsyC4 | 2987 |
pararealml/mesh.py | sha256=zDgWrGg6R6-xEHzuuKshKxGZYaTOoItPUfFas-X-IDU | 23015 |
pararealml/operator.py | sha256=GSqLo_wpJ30BAwpS1D-1wJYrclUlVmHrHriXpvLQGWY | 2248 |
pararealml/plot.py | sha256=pLRz4c9sQmQUm6AmsfrLtF_ixO_Aot_suFzvFjauIZc | 36440 |
pararealml/solution.py | sha256=yptrZz8eeo1uwoqhP47w3S3S3gtWQlgJlhpwNgm_C_E | 12326 |
pararealml/operators/__init__.py | sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU | 0 |
pararealml/operators/symbol_mapper.py | sha256=M5yFIYd7h6vLkE2LtoiLb8i5o_X7DXUI7ahUYkqbNJc | 10242 |
pararealml/operators/fdm/__init__.py | sha256=B7bjVj_XP7KwjBnSDgsBIqoLIAAAqRmvMRjr2WoYK9Q | 715 |
pararealml/operators/fdm/fdm_operator.py | sha256=w8n1TqYN7M46x3QDTIHQ1ouSI_B1lElBQ92dtZKIQZM | 8984 |
pararealml/operators/fdm/fdm_symbol_mapper.py | sha256=MtR3bR9V5bM-uU5MrNMychbL8uFKxHruemJVJtXnNRE | 5418 |
pararealml/operators/fdm/numerical_differentiator.py | sha256=CD32a7uk4u1EqBWdv6q2cM5Wrm1_QUOrgUGueyvsN3o | 47690 |
pararealml/operators/fdm/numerical_integrator.py | sha256=G93XxK0QbEsLMBS4SNiV8wpDxuNaKLqaPSb1EC2beYY | 8956 |
pararealml/operators/ml/__init__.py | sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU | 0 |
pararealml/operators/ml/deeponet.py | sha256=PJmQ75C8VkjMaKTO41q6xbgp7L2QU5T_DKcAzTzXyiA | 3758 |
pararealml/operators/ml/fnn_regressor.py | sha256=5Az3Roon6gm88mU7x725MUhoVX0n0frBw0U1gxahnFU | 1396 |
pararealml/operators/ml/auto_regression/__init__.py | sha256=EQneBQc3-_EJeu3lEuwh6Heou-GEDg4jxIJVKSAhq5o | 415 |
pararealml/operators/ml/auto_regression/auto_regression_operator.py | sha256=fD0ZMjb5H7tsSyMWVPLPF8aKei7koWCvVWAhPkEAW_U | 15811 |
pararealml/operators/ml/auto_regression/sklearn_keras_regressor.py | sha256=b78xc0kD0XbHoMK2ynnRsfry4DltHc9w9NbHzD7nEvY | 2408 |
pararealml/operators/ml/pidon/__init__.py | sha256=5xfiyveaAOrqCtuLZ7K1yjx7o85ksJnJaHEZPRD8RiM | 991 |
pararealml/operators/ml/pidon/auto_differentiator.py | sha256=CxeNZmgiaK1yWc6uC0f_haBXAR-fp1po6t-1fFcE-1o | 21205 |
pararealml/operators/ml/pidon/collocation_point_sampler.py | sha256=n2PT_IvyQDjs28KzHLC9UULWGpjBHs0727VSOUnf_qc | 4316 |
pararealml/operators/ml/pidon/data_set.py | sha256=cw5d7tshuTz6asV53fKApj5-h_sLNX8eWRIi_z_zsCw | 22604 |
pararealml/operators/ml/pidon/loss.py | sha256=OLkGscBax6kJZFKQzTd3w7Xhk0Ba1ONQw58PMcs83w4 | 4931 |
pararealml/operators/ml/pidon/pi_deeponet.py | sha256=KYOOI9V61U5qxtyo1Sc0J25UXo2JmDsj6nlmL2rMCys | 20928 |
pararealml/operators/ml/pidon/pidon_operator.py | sha256=z0qFzFFpFpdiFK-IWdbF_2KJW75rieukbE2vi2SuGi0 | 11728 |
pararealml/operators/ml/pidon/pidon_symbol_mapper.py | sha256=upWK3HZv8CEaQttP-jt0zuy1KY2-SNfEq4DXQwgr_IE | 3888 |
pararealml/operators/ode/__init__.py | sha256=2rPisCkYrsNiqxHTY8nJcBIi82u-22ud1V5YWBk7_uU | 143 |
pararealml/operators/ode/ode_operator.py | sha256=5b8qllxS-rfD4sbNg6vXb6Iw54Cx3xGqlF5OWzUcHX0 | 2913 |
pararealml/operators/parareal/__init__.py | sha256=GfDx-k54YbfQ7Wi493VdP-_pulHcZcTZYznxBWquIeg | 163 |
pararealml/operators/parareal/parareal_operator.py | sha256=vUiqdBELKckC1XqJJDfg8BKM08BvjWowZB7SQ5E2ick | 7617 |
pararealml/utils/__init__.py | sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU | 0 |
pararealml/utils/rand.py | sha256=QqSABeCYKyK0ScQvjIfJvg1MXPNTOWbOnF9vXSB-Dv4 | 1986 |
pararealml/utils/tf.py | sha256=duto38p7mtstjtiyEi54BKZLQMMOaXgbAFP3Xj3nL6U | 990 |
pararealml/utils/time.py | sha256=JTCf-NynkpBpakELnzuDA6byDa87IqqX0xqy4xLh1LA | 2433 |
tests/__init__.py | sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU | 0 |
tests/test_boundary_condition.py | sha256=TXW0YxGLeYaEUC6_MnJ-7XC58QjodqnA-ASSPleGNSM | 2035 |
tests/test_constrained_problem.py | sha256=AtF07-aXHcpyM0zvPcSW5FFmpXSdHcV92HbtEL_OfNU | 13011 |
tests/test_constraint.py | sha256=nttSCJLjG7A4qnv35-ny2wr3lFnsJtaYLgg5314LIQE | 3420 |
tests/test_differential_equation.py | sha256=lS_BSLOPd87tmASf9v6RG43ArF9MjRWO6J80pWWoHys | 4156 |
tests/test_initial_condition.py | sha256=j_PT0r5Os2IzUmHNwTM7nIXpUa99L_Qc-x_ecQmIsW0 | 12797 |
tests/test_initial_value_problem.py | sha256=FgVKGVgO9QICGFFeUOolG32atWoSJrxPcNuVZXNPQTQ | 1537 |
tests/test_mesh.py | sha256=_rJZXLUSOQvw7gl7JGvILFcqF8BwOT8bIg6R761GuLg | 29939 |
tests/test_operator.py | sha256=CrRYvWGD1ZVj5de0glFc-feGGYSHOS9Uz-TUbIv4kyY | 1212 |
tests/test_plot.py | sha256=H6qoqyc3wDfZkEnkgtadNxUcaFU6L-WaHx_1UgD9qe4 | 9557 |
tests/test_solution.py | sha256=hDIdxWZEjr5F_RO8YFhrBnPr7t_m4XVNvhbNAMWSmgU | 11535 |
tests/operators/__init__.py | sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU | 0 |
tests/operators/fdm/__init__.py | sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU | 0 |
tests/operators/fdm/test_fdm_operator.py | sha256=F-1KXvnX9gO89n3SI1tJQxbNw-GRoQ5Am471QwDAq3Y | 11798 |
tests/operators/fdm/test_numerical_differentiator.py | sha256=fyU7zYyWog_fAxhb_KYka6pEyYKzF5Ze94qCPhO5eZE | 77574 |
tests/operators/fdm/test_numerical_integrator.py | sha256=4w4E7jkxkuBQUqJDIFRY2U0H6MeDJU8maIB6JTk8U-E | 6702 |
tests/operators/ml/__init__.py | sha256=juaI6YVQHP4t34yE8TuzFnnlUnB0BjuK2LGphZbjjLs | 173 |
tests/operators/ml/test_deeponet.py | sha256=K9H0m6KTw7pRKhYM2iT3LC2sMqwD768HCY0D8GQzbRs | 2867 |
tests/operators/ml/test_fnn_regressor.py | sha256=xI4zpXLA9TZktFfUO02vjcX3MyJpKdLIVjkPlnkTb1s | 496 |
tests/operators/ml/auto_regression/__init__.py | sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU | 0 |
tests/operators/ml/auto_regression/test_auto_regression_operator.py | sha256=jxaxJWVfeF1WqiRO2qE8_u3YJGAIzd7vgxMrXY2zv_Q | 11031 |
tests/operators/ml/auto_regression/test_sklearn_keras_regressor.py | sha256=z-wMIIcp42BwoH_byexaEGmEI83X2NA5VKJ9OObXPts | 376 |
tests/operators/ml/pidon/__init__.py | sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU | 0 |
tests/operators/ml/pidon/test_auto_differentiator.py | sha256=1A6E7E6JRtXtPXxHuBJp8190msKJQ3miX7Krti6VE0Q | 26936 |
tests/operators/ml/pidon/test_collocation_point_sampler.py | sha256=qp0lBbHypbBzIG-0fgWftSaKe2V-HC-5yneOvEkZtFA | 2963 |
tests/operators/ml/pidon/test_data_set.py | sha256=axbrC0V_TuSBIE4AVntz5es2624s-XCT-Qs1kTR_Xok | 8593 |
tests/operators/ml/pidon/test_pi_deeponet.py | sha256=e6oHmdHysDhs1ilYlQBGyiVYu5cWeqVsms0BErBkcCA | 3514 |
tests/operators/ml/pidon/test_pidon_operator.py | sha256=aBlAk-ghiqnrD_dpdd8KPvEUCd0uK0AQIVEE8_P__6I | 38035 |
tests/operators/ode/__init__.py | sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU | 0 |
tests/operators/ode/test_ode_operator.py | sha256=B3w29ZJ6Ag7YW4lMHAUqFIMruiUw2TmU1hoNrDQoIks | 2356 |
tests/operators/parareal/__init__.py | sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU | 0 |
tests/operators/parareal/test_parareal_operator.py | sha256=-Z1vXeg1UuQMmbO29yV7JihtsCRILxkNsaVgG0fsr6A | 6043 |
pararealml-0.3.0.dist-info/LICENSE | sha256=0AXOHuzCr8BAy5u5oEp-D0C45a1Oc1WCdW8S41XfFYg | 1089 |
pararealml-0.3.0.dist-info/METADATA | sha256=aTgaj6-umCYSYY8sm_8TRhCoAskteouLHoPy6EKmP4E | 11031 |
pararealml-0.3.0.dist-info/WHEEL | sha256=ewwEueio1C2XeHTvT17n8dZUJgOvyCWCt0WVNLClP9o | 92 |
pararealml-0.3.0.dist-info/top_level.txt | sha256=gTmI0HCF8aSw4IF2KLso_53QXn1M2X2hKHD2demo0xg | 17 |
pararealml-0.3.0.dist-info/RECORD | — | — |
top_level.txt
pararealml
tests