aplr · PyPI

Automatic Piecewise Linear Regression

Project description

Build predictive and interpretable parametric regression or classification machine learning models in Python based on the Automatic Piecewise Linear Regression methodology developed by Mathias von Ottenbreit.

Project details

Release history Release notifications | RSS feed

10.7.3

Nov 5, 2024

10.7.2

Nov 2, 2024

10.7.1

Oct 29, 2024

10.7.0

Oct 29, 2024

10.6.4

Oct 17, 2024

10.6.3

Sep 5, 2024

10.6.2

Aug 25, 2024

10.6.1

Aug 8, 2024

10.6.0

Aug 3, 2024

10.5.1

Jul 7, 2024

10.5.0

Jul 6, 2024

10.4.6

Jun 24, 2024

10.4.5

Jun 22, 2024

10.4.4

Jun 20, 2024

10.4.3

Jun 12, 2024

10.4.2

Jun 10, 2024

10.4.1

Jun 9, 2024

10.4.0

Jun 8, 2024

10.3.0

Jun 6, 2024

10.2.1

May 27, 2024

10.2.0

May 26, 2024

10.1.0

May 25, 2024

10.0.0

May 23, 2024

9.10.1

May 22, 2024

9.10.0

May 21, 2024

9.9.0

May 15, 2024

9.8.0

Apr 25, 2024

9.7.0

Apr 22, 2024

9.6.0

Apr 21, 2024

9.5.0

Apr 13, 2024

9.4.3

Apr 11, 2024

9.4.2

Mar 14, 2024

9.4.1

Mar 8, 2024

9.4.0

Mar 7, 2024

9.3.1 yanked

Mar 7, 2024

Reason this release was yanked:

Bug

9.3.0

Mar 1, 2024

9.2.4

Feb 29, 2024

9.2.3

Feb 25, 2024

9.2.2

Feb 22, 2024

9.2.1

Feb 19, 2024

9.2.0

Feb 17, 2024

9.1.0

Jan 21, 2024

9.0.0

Jan 21, 2024

8.1.0 yanked

Jan 10, 2024

Reason this release was yanked:

The functionality added in 8.1.0 does not seem to add predictive value (based on empirical tests). However, it works from a technical point of view though.

8.0.0

Jan 3, 2024

7.8.1

Dec 14, 2023

7.8.0

Nov 27, 2023

7.7.0

Nov 26, 2023

7.6.2

Nov 25, 2023

7.6.1

Nov 19, 2023

7.6.0

Nov 15, 2023

7.5.1

Oct 19, 2023

7.5.0

Oct 15, 2023

7.4.1

Oct 13, 2023

7.4.0

Oct 12, 2023

7.3.0

Oct 9, 2023

7.2.0

Sep 29, 2023

7.1.0

Sep 26, 2023

7.0.1

Sep 25, 2023

7.0.0

Sep 24, 2023

6.5.2

Jul 22, 2023

This version

6.5.1

Jul 21, 2023

6.5.0

Jul 14, 2023

6.4.0

Jul 4, 2023

6.3.0

Jul 3, 2023

6.2.0

Jul 1, 2023

6.1.0

Jun 30, 2023

6.0.0

Jun 29, 2023

5.0.0

Jun 28, 2023

4.1.0

Jun 27, 2023

4.0.0

May 24, 2023

3.1.0

May 6, 2023

3.0.0

May 5, 2023

2.7.0

May 4, 2023

2.6.0

May 2, 2023

2.5.0

Apr 23, 2023

2.4.0

Apr 23, 2023

2.3.0

Apr 19, 2023

2.2.0

Apr 4, 2023

2.1.0

Mar 28, 2023

2.0.1

Mar 24, 2023

2.0.0

Mar 22, 2023

1.12.1

Mar 15, 2023

1.12.0

Mar 15, 2023

1.11.0

Feb 22, 2023

1.10.2

Feb 18, 2023

1.10.1

Feb 16, 2023

1.10.0

Feb 14, 2023

1.9.0

Jan 31, 2023

1.8.5

Jan 10, 2023

1.8.4

Jan 6, 2023

1.8.3

Jan 6, 2023

1.8.2

Jan 5, 2023

1.8.1

Jan 5, 2023

1.8.0

Jan 3, 2023

1.7.1

Dec 24, 2022

1.7.0

Dec 22, 2022

1.6.2

Dec 22, 2022

1.6.1

Dec 7, 2022

1.6.0

Dec 6, 2022

1.5.0

Dec 2, 2022

1.4.1 yanked

Nov 30, 2022

1.4.0 yanked

Nov 30, 2022

1.3.2

Nov 21, 2022

1.3.1

Nov 18, 2022

1.3.0

Oct 21, 2022

1.2.2

Oct 20, 2022

1.2.1

Oct 19, 2022

1.2.0

Oct 14, 2022

1.1.2

Oct 13, 2022

1.1.1

Oct 12, 2022

1.1.0

Oct 11, 2022

1.0.9

Jun 25, 2022

1.0.8

Jun 17, 2022

1.0.7

Jun 16, 2022

1.0.6

Jun 15, 2022

1.0.5

Jun 15, 2022

1.0.4

Jun 15, 2022

1.0.3

May 23, 2022

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

aplr-6.5.1.tar.gz (3.0 MB view hashes)

Uploaded Jul 21, 2023 Source

Built Distributions

aplr-6.5.1-pp310-pypy310_pp73-win_amd64.whl (194.8 kB view hashes)

Uploaded Jul 21, 2023 PyPy Windows x86-64

aplr-6.5.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (279.2 kB view hashes)

Uploaded Jul 21, 2023 PyPy manylinux: glibc 2.17+ x86-64

aplr-6.5.1-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (299.3 kB view hashes)

Uploaded Jul 21, 2023 PyPy manylinux: glibc 2.17+ i686

aplr-6.5.1-pp39-pypy39_pp73-win_amd64.whl (194.8 kB view hashes)

Uploaded Jul 21, 2023 PyPy Windows x86-64

aplr-6.5.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (279.1 kB view hashes)

Uploaded Jul 21, 2023 PyPy manylinux: glibc 2.17+ x86-64

aplr-6.5.1-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (299.1 kB view hashes)

Uploaded Jul 21, 2023 PyPy manylinux: glibc 2.17+ i686

aplr-6.5.1-pp38-pypy38_pp73-win_amd64.whl (194.6 kB view hashes)

Uploaded Jul 21, 2023 PyPy Windows x86-64

aplr-6.5.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (279.2 kB view hashes)

Uploaded Jul 21, 2023 PyPy manylinux: glibc 2.17+ x86-64

aplr-6.5.1-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (298.3 kB view hashes)

Uploaded Jul 21, 2023 PyPy manylinux: glibc 2.17+ i686

aplr-6.5.1-cp311-cp311-win_amd64.whl (196.1 kB view hashes)

Uploaded Jul 21, 2023 CPython 3.11 Windows x86-64

aplr-6.5.1-cp311-cp311-win32.whl (169.1 kB view hashes)

Uploaded Jul 21, 2023 CPython 3.11 Windows x86

aplr-6.5.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (5.3 MB view hashes)

Uploaded Jul 21, 2023 CPython 3.11 manylinux: glibc 2.17+ x86-64

aplr-6.5.1-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl (5.2 MB view hashes)

Uploaded Jul 21, 2023 CPython 3.11 manylinux: glibc 2.17+ i686

aplr-6.5.1-cp310-cp310-win_amd64.whl (195.9 kB view hashes)

Uploaded Jul 21, 2023 CPython 3.10 Windows x86-64

aplr-6.5.1-cp310-cp310-win32.whl (169.1 kB view hashes)

Uploaded Jul 21, 2023 CPython 3.10 Windows x86

aplr-6.5.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (5.2 MB view hashes)

Uploaded Jul 21, 2023 CPython 3.10 manylinux: glibc 2.17+ x86-64

aplr-6.5.1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl (5.2 MB view hashes)

Uploaded Jul 21, 2023 CPython 3.10 manylinux: glibc 2.17+ i686

aplr-6.5.1-cp39-cp39-win_amd64.whl (189.2 kB view hashes)

Uploaded Jul 21, 2023 CPython 3.9 Windows x86-64

aplr-6.5.1-cp39-cp39-win32.whl (169.1 kB view hashes)

Uploaded Jul 21, 2023 CPython 3.9 Windows x86

aplr-6.5.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (5.2 MB view hashes)

Uploaded Jul 21, 2023 CPython 3.9 manylinux: glibc 2.17+ x86-64

aplr-6.5.1-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl (5.2 MB view hashes)

Uploaded Jul 21, 2023 CPython 3.9 manylinux: glibc 2.17+ i686

aplr-6.5.1-cp38-cp38-win_amd64.whl (196.0 kB view hashes)

Uploaded Jul 21, 2023 CPython 3.8 Windows x86-64

aplr-6.5.1-cp38-cp38-win32.whl (169.0 kB view hashes)

Uploaded Jul 21, 2023 CPython 3.8 Windows x86

aplr-6.5.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (5.2 MB view hashes)

Uploaded Jul 21, 2023 CPython 3.8 manylinux: glibc 2.17+ x86-64

aplr-6.5.1-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl (5.2 MB view hashes)

Uploaded Jul 21, 2023 CPython 3.8 manylinux: glibc 2.17+ i686

Hashes for aplr-6.5.1.tar.gz

Hashes for aplr-6.5.1.tar.gz
Algorithm	Hash digest
SHA256	`d1be15a962459af366b198aa94a193941e38e74137c74b52a845606ad05143d3`
MD5	`8a34b1665c92f0ac797791fe589f2a5f`
BLAKE2b-256	`e7991fcc7485f17cf9f2e634c54cce4c0c9df7b5bf6404e976053d963b00ebb0`

Hashes for aplr-6.5.1-pp310-pypy310_pp73-win_amd64.whl

Hashes for aplr-6.5.1-pp310-pypy310_pp73-win_amd64.whl
Algorithm	Hash digest
SHA256	`0a10c58c64220b69754e5a44dd3c6d9c4d9512712fb1ede062048a72b11c41b8`
MD5	`9e5e8b66ab929a0434c6e94367c083b3`
BLAKE2b-256	`8d206bc30959ccff59130cea1319fea537376a42f28f04c986f1ff4489bfe98d`

Hashes for aplr-6.5.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for aplr-6.5.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`88ea11ef2206a2a210ed390ec9bddeaae623d0e1884dc6cb94d0eaf33be7403d`
MD5	`4be0b14af4f30540da93e7f850f65e3d`
BLAKE2b-256	`93974401d7aeac1c7796014c59e07a4bade2c1fc353956b3349074e4a8d0c695`

Hashes for aplr-6.5.1-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl

Hashes for aplr-6.5.1-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm	Hash digest
SHA256	`a4742ff44b10ce2cdf54fc4f21ab484a5a05ede57f0be0f193dfb1f71c6e4522`
MD5	`858c0cdb2309cd86f50f83f219198169`
BLAKE2b-256	`13698afeca1ee8630cb43d49521fdc4e500f885f4387b91ad3fb511ae9cb7702`

Hashes for aplr-6.5.1-pp39-pypy39_pp73-win_amd64.whl

Hashes for aplr-6.5.1-pp39-pypy39_pp73-win_amd64.whl
Algorithm	Hash digest
SHA256	`6caaff574bd68402f2d7dd44b277325742f364b902bce7953044d898d43b5d15`
MD5	`b53f2821045f3554e9e1967006ee4687`
BLAKE2b-256	`d45cede236b1d431278f8256b1b6b718ebd435659c03e45d7b6db2a90870de73`

Hashes for aplr-6.5.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for aplr-6.5.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`a48b0615455af0914be2817a5c11ac075c6975f03f538c2d5c862bc3d70094c8`
MD5	`b6470e4d01bf3792cc15b39e0a52d69d`
BLAKE2b-256	`b27167f4f3c12d8e3a9362b18feb02e6ca5ebcd109fe2d45d2e5b9a392cffca9`

Hashes for aplr-6.5.1-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl

Hashes for aplr-6.5.1-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm	Hash digest
SHA256	`8e813ab7254e23fc03d21f039910d0d8b04616e62e295a773fc5e9b80e2c6330`
MD5	`d63e94d1241ffdddc3f3e62877e3ca66`
BLAKE2b-256	`f33eb5fda0a25dbdc6e987550e8d1fa86c9cb1a4be64f34c59c9e8a295044dce`

Hashes for aplr-6.5.1-pp38-pypy38_pp73-win_amd64.whl

Hashes for aplr-6.5.1-pp38-pypy38_pp73-win_amd64.whl
Algorithm	Hash digest
SHA256	`efb594d4017a579309321d97e903ccb160ea464eae9f067ac75cdfe7591463b1`
MD5	`0b0b6ece36d201a3ca157fd8311d79ba`
BLAKE2b-256	`94e6effcef4fab39eed30401d5b07569717ef0b8efb1f42c0eb592982c6c307a`

Hashes for aplr-6.5.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for aplr-6.5.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`d44acf1b167442f643dc18dceb4b04d143cd224a42f924af6aca6da42fda7d4c`
MD5	`12d91d521f8f476d311b7a63cf94e9b7`
BLAKE2b-256	`e19f7eb6dab09309f53f516eca562a1caca865020e1ac975e962f26f67854f5a`

Hashes for aplr-6.5.1-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl

Hashes for aplr-6.5.1-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm	Hash digest
SHA256	`276c92188bf6b8cb6556f2cafae526cdae2b4c008a873cd59bd9526baa142673`
MD5	`ac8ef71c8aeb3deabf91fde3964ea3e9`
BLAKE2b-256	`236307fea3818f629f3fe861efd95aaa0b85a5e31487951b4f1f4b487b98a122`

Hashes for aplr-6.5.1-cp311-cp311-win_amd64.whl

Hashes for aplr-6.5.1-cp311-cp311-win_amd64.whl
Algorithm	Hash digest
SHA256	`e13fead28a385b0b8f6100f66b3b3c6647f594f31343b73287a490ebc4d24964`
MD5	`d34db0b2701d4e287e55ddd82871dcdc`
BLAKE2b-256	`73f30fa2078723c40e540c63afeba5e7fb7e1360c1e17950cff1c88322f16f1a`

Hashes for aplr-6.5.1-cp311-cp311-win32.whl

Hashes for aplr-6.5.1-cp311-cp311-win32.whl
Algorithm	Hash digest
SHA256	`72f6b5aa08a4227747cb92393c81be02400f17dea000c5eb7ffc71ba7ef03430`
MD5	`13426fb906bef31faa204bf06f91367f`
BLAKE2b-256	`7f4d1b2be995888f0c79806d16e543a10c11d1857f09b4ebbab2c5895d401eca`

Hashes for aplr-6.5.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for aplr-6.5.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`499c3bd67a56163b1cb01e7a0cb93bd3008eaee08e5d34d1a0800a3a2d76c991`
MD5	`3f848ebe1811d7637a38be80c9b36249`
BLAKE2b-256	`d4d30e44c32d785a371907e129e131a722a6d123a5a754693b41f2b06fc78662`

Hashes for aplr-6.5.1-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl

Hashes for aplr-6.5.1-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm	Hash digest
SHA256	`5a143d12c6d0eaf9bb2a32b28576c4c940db762e813926f640a0095a3200fcda`
MD5	`7bed6ea67b2fbc6c9c027ca48b41a0c3`
BLAKE2b-256	`9ea32e164b120b6bc0b677222b2ef76fa7d84ddd6e2e223a6b7a6463ec5de812`

Hashes for aplr-6.5.1-cp310-cp310-win_amd64.whl

Hashes for aplr-6.5.1-cp310-cp310-win_amd64.whl
Algorithm	Hash digest
SHA256	`668751fae1ddd4bb732a8dd18de9da0bb97acbc671667e8bd391defeeb4dabf4`
MD5	`bd505392f545e3293ec427b049011ffc`
BLAKE2b-256	`ddbc4926259f25f40516e7756aae634443817832a47675a800320ef8d7e7c6ed`

Hashes for aplr-6.5.1-cp310-cp310-win32.whl

Hashes for aplr-6.5.1-cp310-cp310-win32.whl
Algorithm	Hash digest
SHA256	`77ab1902099b9e244f9bc8e13b38e5f3cb96a0f1ef7788a522130ced63ebb5f1`
MD5	`7f0d2bab0d5eee8ec9cc191cec68934a`
BLAKE2b-256	`bf04a5bb5a9ee42cf66cc748542ffbec23f4a38de483e956081ca7290df2686c`

Hashes for aplr-6.5.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for aplr-6.5.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`56e22c4dd8eaa8947503fc9c6804401f8bb0ce48860926e2f5e9de48fdb13268`
MD5	`b0fa296f78793b47f756478e2b89a7c7`
BLAKE2b-256	`d9a8b996e66f33ae7f26b2a60d6c88f712fe371900de1a4e9062cc6bd1c0f5a6`

Hashes for aplr-6.5.1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl

Hashes for aplr-6.5.1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm	Hash digest
SHA256	`315f8a4c78aadd27f029c272204a8e976cafe4734b6b07f30ef4da25ad27bb3a`
MD5	`b281a8a83beaad9f6544ca3177669acd`
BLAKE2b-256	`e6651693650f4ddd6606d6f11150e30223ff371a3af8d646a791092c30fcc775`

Hashes for aplr-6.5.1-cp39-cp39-win_amd64.whl

Hashes for aplr-6.5.1-cp39-cp39-win_amd64.whl
Algorithm	Hash digest
SHA256	`c9b550f5211b19925036341939e9473492a567b37d628b4899da2570b8b1505d`
MD5	`82f5a4a463643e8a69179d055adebf33`
BLAKE2b-256	`60f8015588e4e65898357cbafe53434381353c68365a367b954821cd5c99d13f`

Hashes for aplr-6.5.1-cp39-cp39-win32.whl

Hashes for aplr-6.5.1-cp39-cp39-win32.whl
Algorithm	Hash digest
SHA256	`22377a29b7b5692b9678282fe4c5124f95494255b5393577965e9892e7169667`
MD5	`190267faef27afff272c13fa33836982`
BLAKE2b-256	`c38e42bc82150945690231c0d491427ae4bfdcaa048336abff9844f7120512a1`

Hashes for aplr-6.5.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for aplr-6.5.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`40c91a88e2d2fe333fdc3538a6bfeb645ec88f2e22d04676f055d84c6fd0f85f`
MD5	`21d219b0d00f91f4a1fb09b323c8c725`
BLAKE2b-256	`1785b044ca206fa9bbbd3309cbae92f8705c0c415941c037555eaf909bb8a956`

Hashes for aplr-6.5.1-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl

Hashes for aplr-6.5.1-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm	Hash digest
SHA256	`2daf6fee57473ffb7db99e01bedb3de9275ffc1f4682b66f48dce7710bc68ddb`
MD5	`18e80adeb9f4c29527c98843cade00b8`
BLAKE2b-256	`6443353ad46f9d4bc9838c01f6051f9bd8dd25041dd7f1a364b1a13a1bf7c043`

Hashes for aplr-6.5.1-cp38-cp38-win_amd64.whl

Hashes for aplr-6.5.1-cp38-cp38-win_amd64.whl
Algorithm	Hash digest
SHA256	`ba22435828aaa84f1c71b38d8493031a6e085b9c83140b0a95815d31e244a853`
MD5	`19d159f19231713f243c8da96bdde98a`
BLAKE2b-256	`9e4ccf7938f32ae04adddf818a6635392252c4aecf3a4a4c2133bef7952ec2f2`

Hashes for aplr-6.5.1-cp38-cp38-win32.whl

Hashes for aplr-6.5.1-cp38-cp38-win32.whl
Algorithm	Hash digest
SHA256	`c1178e33391361c21c055b14708f6528369888f78561b22e8e59add2a71549f4`
MD5	`56b6a37b18d2c01de04df2194651191d`
BLAKE2b-256	`ef49d680a31ec8842cb1bceca94a35eb6b2ea28022587bf93b634403e3f850b3`

Hashes for aplr-6.5.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for aplr-6.5.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`25fe8a92e089cbda93aac2d963faa91d07289977241283171dc6cbefa55f9637`
MD5	`834b56550ef466588469abab65e59f9b`
BLAKE2b-256	`d3f141e6b10c32bde9a8024a279c21035f60ae7425f2af89995f59b8a44b4f64`

Hashes for aplr-6.5.1-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl

Hashes for aplr-6.5.1-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm	Hash digest
SHA256	`b8412092b3a54240426d3e003dbccb9671f4080bbe3db18cf9e220ea631bb6a5`
MD5	`6b5a5d72d9293a4dd50d60d6c4061864`
BLAKE2b-256	`8f535d5fc0dd1c000cc8389fd3f86ee5be8bbad83b72f00d378e8dc275cf8fa1`