Analyze Python code for correctness using symbolic execution.

These details have not been verified by PyPI

Project links

Homepage

Project description

CrossHair

An analysis tool for Python that blurs the line between testing and type systems.

THE LATEST NEWS: Python's most popular property-based testing tool, Hypothesis, now supports running CrossHair as an optional backend!

If you have a function with type annotations and add a contract in a supported syntax, CrossHair will attempt to find counterexamples for you:

Animated GIF demonstrating the verification of a python function

CrossHair works by repeatedly calling your functions with symbolic inputs. It uses an SMT solver (a kind of theorem prover) to explore viable execution paths and find counterexamples for you. This is not a new idea; a Python approach was first described in this paper. However, to my knowledge, CrossHair is the most complete implementation: it can use symbolic reasoning for the built-in types, user-defined classes, and much of the standard library.

Try CrossHair right now, in your browser, at crosshair-web.org!

CrossHair has IDE integrations for VS Code, PyCharm, and more.

Finally, CrossHair can do more than check contracts. It can also generate unit tests and find behavioral differences between functions.

Want to help? Sign up for email or RSS updates. Star ⭐️ the repository. There are other ways to help too.

Documentation

Project details

These details have not been verified by PyPI

Project links

Homepage

Release history Release notifications | RSS feed

This version

0.0.78

Nov 14, 2024

0.0.77

Nov 5, 2024

0.0.76

Oct 18, 2024

0.0.75

Oct 18, 2024

0.0.74

Oct 8, 2024

0.0.73

Sep 30, 2024

0.0.72

Sep 23, 2024

0.0.71

Sep 3, 2024

0.0.70

Aug 24, 2024

0.0.69

Aug 24, 2024

0.0.68

Aug 20, 2024

0.0.67

Aug 14, 2024

0.0.66

Aug 8, 2024

0.0.65

Aug 2, 2024

0.0.64

Jul 23, 2024

0.0.63

Jul 22, 2024

0.0.62

Jul 19, 2024

0.0.61

Jul 14, 2024

0.0.60

Jul 8, 2024

0.0.59

Jul 6, 2024

0.0.58

Jul 1, 2024

0.0.57

Jun 28, 2024

0.0.56

Jun 28, 2024

0.0.55

Jun 19, 2024

0.0.54

Mar 24, 2024

0.0.53

Mar 20, 2024

0.0.52

Mar 19, 2024

0.0.51

Mar 15, 2024

0.0.50

Mar 8, 2024

0.0.49

Feb 28, 2024

0.0.48

Feb 19, 2024

0.0.47

Jan 13, 2024

0.0.46

Dec 20, 2023

0.0.45

Nov 10, 2023

0.0.44

Nov 1, 2023

0.0.43

Oct 26, 2023

0.0.42

Oct 6, 2023

0.0.41

Oct 3, 2023

0.0.40

Sep 10, 2023

0.0.39

Jul 26, 2023

0.0.38

May 3, 2023

0.0.37

Feb 2, 2023

0.0.36

Dec 20, 2022

0.0.35

Dec 11, 2022

0.0.34

Nov 14, 2022

0.0.33

Nov 11, 2022

0.0.32

Oct 14, 2022

0.0.31

Sep 29, 2022

0.0.30

Sep 28, 2022

0.0.29

Sep 12, 2022

0.0.28

Jul 15, 2022

0.0.27

Jul 13, 2022

0.0.26

Jun 22, 2022

0.0.25

Jun 9, 2022

0.0.24

May 25, 2022

0.0.23

May 17, 2022

0.0.22

Mar 16, 2022

0.0.21

Jan 22, 2022

0.0.20

Dec 22, 2021

0.0.19

Oct 25, 2021

0.0.18

Oct 12, 2021

0.0.17

Aug 27, 2021

0.0.16

Aug 9, 2021

0.0.15

Jul 15, 2021

0.0.14

Jul 13, 2021

0.0.13

May 3, 2021

0.0.12

Apr 26, 2021

0.0.11

Mar 12, 2021

0.0.10

Feb 15, 2021

0.0.9

Jan 16, 2021

0.0.8

Nov 27, 2020

0.0.7

Jul 7, 2020

0.0.6

Jul 2, 2020

0.0.5

Apr 13, 2020

0.0.4

Apr 12, 2020

0.0.3

Mar 1, 2020

0.0.2

Feb 19, 2020

0.0.1

Feb 9, 2020

Download files

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

Source Distribution

crosshair-tool-0.0.78.tar.gz (446.7 kB view details)

Uploaded Nov 14, 2024 Source

Built Distributions

crosshair_tool-0.0.78-cp313-cp313-win_amd64.whl (507.1 kB view details)

Uploaded Nov 14, 2024 CPython 3.13 Windows x86-64

crosshair_tool-0.0.78-cp313-cp313-win32.whl (505.9 kB view details)

Uploaded Nov 14, 2024 CPython 3.13 Windows x86

crosshair_tool-0.0.78-cp313-cp313-musllinux_1_2_x86_64.whl (534.0 kB view details)

Uploaded Nov 14, 2024 CPython 3.13 musllinux: musl 1.2+ x86-64

crosshair_tool-0.0.78-cp313-cp313-musllinux_1_2_i686.whl (533.1 kB view details)

Uploaded Nov 14, 2024 CPython 3.13 musllinux: musl 1.2+ i686

crosshair_tool-0.0.78-cp313-cp313-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (535.1 kB view details)

Uploaded Nov 14, 2024 CPython 3.13 manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

crosshair_tool-0.0.78-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (532.4 kB view details)

Uploaded Nov 14, 2024 CPython 3.13 manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

crosshair_tool-0.0.78-cp313-cp313-macosx_11_0_arm64.whl (504.1 kB view details)

Uploaded Nov 14, 2024 CPython 3.13 macOS 11.0+ ARM64

crosshair_tool-0.0.78-cp312-cp312-win_amd64.whl (507.1 kB view details)

Uploaded Nov 14, 2024 CPython 3.12 Windows x86-64

crosshair_tool-0.0.78-cp312-cp312-win32.whl (505.9 kB view details)

Uploaded Nov 14, 2024 CPython 3.12 Windows x86

crosshair_tool-0.0.78-cp312-cp312-musllinux_1_2_x86_64.whl (533.8 kB view details)

Uploaded Nov 14, 2024 CPython 3.12 musllinux: musl 1.2+ x86-64

crosshair_tool-0.0.78-cp312-cp312-musllinux_1_2_i686.whl (532.7 kB view details)

Uploaded Nov 14, 2024 CPython 3.12 musllinux: musl 1.2+ i686

crosshair_tool-0.0.78-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (534.9 kB view details)

Uploaded Nov 14, 2024 CPython 3.12 manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

crosshair_tool-0.0.78-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (532.2 kB view details)

Uploaded Nov 14, 2024 CPython 3.12 manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

crosshair_tool-0.0.78-cp312-cp312-macosx_11_0_arm64.whl (504.1 kB view details)

Uploaded Nov 14, 2024 CPython 3.12 macOS 11.0+ ARM64

crosshair_tool-0.0.78-cp311-cp311-win_amd64.whl (504.8 kB view details)

Uploaded Nov 14, 2024 CPython 3.11 Windows x86-64

crosshair_tool-0.0.78-cp311-cp311-win32.whl (503.9 kB view details)

Uploaded Nov 14, 2024 CPython 3.11 Windows x86

crosshair_tool-0.0.78-cp311-cp311-musllinux_1_2_x86_64.whl (524.9 kB view details)

Uploaded Nov 14, 2024 CPython 3.11 musllinux: musl 1.2+ x86-64

crosshair_tool-0.0.78-cp311-cp311-musllinux_1_2_i686.whl (523.2 kB view details)

Uploaded Nov 14, 2024 CPython 3.11 musllinux: musl 1.2+ i686

crosshair_tool-0.0.78-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (525.6 kB view details)

Uploaded Nov 14, 2024 CPython 3.11 manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

crosshair_tool-0.0.78-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (523.3 kB view details)

Uploaded Nov 14, 2024 CPython 3.11 manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

crosshair_tool-0.0.78-cp311-cp311-macosx_11_0_arm64.whl (501.6 kB view details)

Uploaded Nov 14, 2024 CPython 3.11 macOS 11.0+ ARM64

crosshair_tool-0.0.78-cp310-cp310-win_amd64.whl (504.8 kB view details)

Uploaded Nov 14, 2024 CPython 3.10 Windows x86-64

crosshair_tool-0.0.78-cp310-cp310-win32.whl (503.8 kB view details)

Uploaded Nov 14, 2024 CPython 3.10 Windows x86

crosshair_tool-0.0.78-cp310-cp310-musllinux_1_2_x86_64.whl (524.1 kB view details)

Uploaded Nov 14, 2024 CPython 3.10 musllinux: musl 1.2+ x86-64

crosshair_tool-0.0.78-cp310-cp310-musllinux_1_2_i686.whl (522.5 kB view details)

Uploaded Nov 14, 2024 CPython 3.10 musllinux: musl 1.2+ i686

crosshair_tool-0.0.78-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (524.9 kB view details)

Uploaded Nov 14, 2024 CPython 3.10 manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

crosshair_tool-0.0.78-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (522.7 kB view details)

Uploaded Nov 14, 2024 CPython 3.10 manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

crosshair_tool-0.0.78-cp310-cp310-macosx_11_0_arm64.whl (501.5 kB view details)

Uploaded Nov 14, 2024 CPython 3.10 macOS 11.0+ ARM64

crosshair_tool-0.0.78-cp39-cp39-win_amd64.whl (504.8 kB view details)

Uploaded Nov 14, 2024 CPython 3.9 Windows x86-64

crosshair_tool-0.0.78-cp39-cp39-win32.whl (503.8 kB view details)

Uploaded Nov 14, 2024 CPython 3.9 Windows x86

crosshair_tool-0.0.78-cp39-cp39-musllinux_1_2_x86_64.whl (523.6 kB view details)

Uploaded Nov 14, 2024 CPython 3.9 musllinux: musl 1.2+ x86-64

crosshair_tool-0.0.78-cp39-cp39-musllinux_1_2_i686.whl (522.0 kB view details)

Uploaded Nov 14, 2024 CPython 3.9 musllinux: musl 1.2+ i686

crosshair_tool-0.0.78-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (524.3 kB view details)

Uploaded Nov 14, 2024 CPython 3.9 manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

crosshair_tool-0.0.78-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (522.1 kB view details)

Uploaded Nov 14, 2024 CPython 3.9 manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

crosshair_tool-0.0.78-cp39-cp39-macosx_11_0_arm64.whl (501.5 kB view details)

Uploaded Nov 14, 2024 CPython 3.9 macOS 11.0+ ARM64

crosshair_tool-0.0.78-cp38-cp38-win_amd64.whl (504.8 kB view details)

Uploaded Nov 14, 2024 CPython 3.8 Windows x86-64

crosshair_tool-0.0.78-cp38-cp38-win32.whl (503.8 kB view details)

Uploaded Nov 14, 2024 CPython 3.8 Windows x86

crosshair_tool-0.0.78-cp38-cp38-musllinux_1_2_x86_64.whl (524.7 kB view details)

Uploaded Nov 14, 2024 CPython 3.8 musllinux: musl 1.2+ x86-64

crosshair_tool-0.0.78-cp38-cp38-musllinux_1_2_i686.whl (523.1 kB view details)

Uploaded Nov 14, 2024 CPython 3.8 musllinux: musl 1.2+ i686

crosshair_tool-0.0.78-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (525.2 kB view details)

Uploaded Nov 14, 2024 CPython 3.8 manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

crosshair_tool-0.0.78-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (523.0 kB view details)

Uploaded Nov 14, 2024 CPython 3.8 manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

crosshair_tool-0.0.78-cp38-cp38-macosx_11_0_arm64.whl (501.6 kB view details)

Uploaded Nov 14, 2024 CPython 3.8 macOS 11.0+ ARM64

File details

Details for the file crosshair-tool-0.0.78.tar.gz.

File metadata

Download URL: crosshair-tool-0.0.78.tar.gz
Upload date: Nov 14, 2024
Size: 446.7 kB
Tags: Source
Uploaded using Trusted Publishing? No
Uploaded via: twine/5.1.1 CPython/3.9.20

File hashes

Hashes for crosshair-tool-0.0.78.tar.gz
Algorithm	Hash digest
SHA256	`27d6863d4a3f287b1674d36071b0af1b75a42535871083478b8affdf8c03fb8a`
MD5	`beb79c8cd3a848fb373c1ac55547b575`
BLAKE2b-256	`442bdda08eb6536f9555cd053b298257481086f303036369d31360f5a8296aaa`

Algorithm	Hash digest
SHA256	`ee01b309abb9eb7060fa9fc067a9cbfd9a308c042025bd4179a2c8409d524d77`
MD5	`bfbb962b1641331f4228ca8e3478b700`
BLAKE2b-256	`fe0ddbd0cbb11527ef6d7228ab99efa139d4964d47b8b5668e80fa9179ac6fe9`

Algorithm	Hash digest
SHA256	`a3f3e5666998dd25f827776233dd37e6415bcf52d8a23ca95dfc7f87faec7b53`
MD5	`3d570083ebe3d852c67dcdc8f933edb9`
BLAKE2b-256	`0b6c7ba0e72eeb42b38e0bb0b4eb62e6baf71fc88aa2a79653c556356ed1b12d`

Algorithm	Hash digest
SHA256	`e01eeed86eeba8bd3949fc4e5f54fd404d74497094e6cb380e13dd51ee63ade9`
MD5	`8632700d1515e604ad7f03afe1cb06f7`
BLAKE2b-256	`5ba9574de9733efe9b6841ded3f3ca70c12e1ab62734868028f6aea0ec47e8fa`

Algorithm	Hash digest
SHA256	`03814c414f56b9b0c813ed70b4ecd065c147ff555086cebbb8ee3c99b5f19c2d`
MD5	`dc6c774080b2849bf6c794114ef66145`
BLAKE2b-256	`2dfbe69fd0edd72343d618cc2c96c67cfd0b7bd32aed964af5bade5a07a9ba42`

Algorithm	Hash digest
SHA256	`71e1ec9304f243d79408252bcc71a1db88639ef670c174d75cf800769680a6cc`
MD5	`c82c3744333e7050e097efde90f69eaa`
BLAKE2b-256	`6f18a680f4ba98dcda4860dbd35a684aa53d2f834784686b4056a6d86e6cddd4`

Algorithm	Hash digest
SHA256	`ef6cdcaa6042945459209693d3eeb9e9fdbf47060c3373ab873fbd98af8b3cea`
MD5	`025de7842044062e5637183c288c7ab4`
BLAKE2b-256	`3ff3de8e22a6883698cbfb76ce589a39eb279707330bb0ac3c64fd2ad551f18c`

Algorithm	Hash digest
SHA256	`308a22aeb445e0a3605edd53aa83886397a3e6d4f174b9f076195ce438ef9e79`
MD5	`91efaa6bc4c7b74166a1768e1ff4fd51`
BLAKE2b-256	`2fd65d700c055e4765b268cd57ea5b52a10bd4ba18648df46871728efa57b739`

Algorithm	Hash digest
SHA256	`e6b23e3c28ea4660ca15e09d124a22998bc3ba9428912b22f313928d657c9d23`
MD5	`d5560057fd86e296d59927a14f43c941`
BLAKE2b-256	`35fa236742d164caebaaeffba86e56acdb7a41dcecc1167cff28cca0f5f1bf5c`

Algorithm	Hash digest
SHA256	`507733fcfbe2ee03248feb44784e3e2947222209f39ca83e219e437e587d5885`
MD5	`fb3bf1403c4d91fc4f87197a319332a5`
BLAKE2b-256	`089a277021dfffe296a2fcf3c69ddd266ce2ce3d7107fd0e4180b225dc392775`

Algorithm	Hash digest
SHA256	`d354bac480f479d2aa1f6acdc6f6d0bb30865ff086e8d8b27bee919aa711e2a5`
MD5	`7b6b9ccff1ccbe1f85c0968d234a8f3c`
BLAKE2b-256	`a5582c283c0b076c5d51c7991e46dafa6f6d360408888efc2a0edad1838b4baa`

Algorithm	Hash digest
SHA256	`906ca01cffaf71d43c6df677b9ea0ac19b67fc595e5d1850c925b5c16226a045`
MD5	`7326cd7ef4607194465529eb7337513c`
BLAKE2b-256	`d58c02334bf1307c146bcfb6eb8074172e5b5b671d6de8dd9d77ee1cdf8d6277`

Algorithm	Hash digest
SHA256	`58b799da8d0287922a05085c7a51cd7e7985f2642ae576e7149431ee33ceb593`
MD5	`9376364e9a568076fb6db24d2795ea5f`
BLAKE2b-256	`7bacc71bfe4ee5eb1f58fcb15ddf72ee73ce61c5b60438aae39e8497fefd6c78`

Algorithm	Hash digest
SHA256	`be9aaa181f12912a41ac44cbcc41b9b36f0315262903497d6d69866b7ee63a17`
MD5	`a0db5ba9fa4fde710d0d68ddcd0d03a3`
BLAKE2b-256	`c3c7192d729721b7c2acd13c79c1ebd22dfe7a8a1df812f61b1800f74b99633d`

Algorithm	Hash digest
SHA256	`8b0523da916f4ea36402672e04e42c4811b6e215e858ff85224cdfe5388f1db8`
MD5	`cc6b4f6dfe36e6f69e836aa821c10ee8`
BLAKE2b-256	`d6077e4fccc48ada70f0d81e5d7e404a6ee7102dda2c0d77fe2f0874f3ca1441`

Algorithm	Hash digest
SHA256	`5728eea95f46c3b48e5b927f31f5523e6f856840d375d7885484efaf8783b6b1`
MD5	`e93b2eb11f00f62e7dace1731fd177e9`
BLAKE2b-256	`f3ed9b63cb6d4654d634aa71e798d3db947fa65add360e13b7b389bf40c7bd88`

Algorithm	Hash digest
SHA256	`2c6220accf4c5d2655bffc78addbb73ea42641c1c5084be9a46309b627b4c84c`
MD5	`e5444302ae3fc25940b6ad8fec9b5e61`
BLAKE2b-256	`c8b75c34bce469f899ce09b509c08ca59b760e83a129b6f2c416c14a2fc76b0c`

Algorithm	Hash digest
SHA256	`d4b8c4a2904904e52a367f6e6917fcbde157d6556555d7444def1947a314d9ef`
MD5	`1a1c69f5a78f11765995e602b095e661`
BLAKE2b-256	`8523c7fd2d53efe52a9b3d70857f2cf057cb910bd1d40fa1b425f56f562f2192`

Algorithm	Hash digest
SHA256	`d335fd94d38b8c498e83b3c50cf31ef713be9c7eb042f8665555242ee50164e6`
MD5	`4e7e1381cc37fc510b6a88cd903dd947`
BLAKE2b-256	`dc5c973b871189d149b49d0d56191987552613cd72457ff537b3a91defb8229a`

Algorithm	Hash digest
SHA256	`ffa54c76c461e554511b44602af738feaebad6b82ae6ca189b9045edfc11ff96`
MD5	`c4ef09ab0934513098aac835dadca88a`
BLAKE2b-256	`febf705306bab1a9839819a828c8b55c5a5ac8bf1046bffdb853ced574c054c6`

Algorithm	Hash digest
SHA256	`1bf8cc5d58413e6192bc326a9d132108a852b94383e7bca44a9d940a5ea23ad7`
MD5	`154ba28172084a7ed32663a6f92de769`
BLAKE2b-256	`f6e2d6686ca189bc0123a5fa4b3496a3ff2e0a39f4346b12730325b256744726`

crosshair-tool 0.0.78

Navigation

Verified details

Maintainers

Unverified details

Project links

Meta

Classifiers

Project description

CrossHair

Documentation

Project details

Verified details

Maintainers

Unverified details

Project links

Meta

Classifiers

Release history Release notifications | RSS feed

Download files

Source Distribution

Built Distributions

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

Algorithm	Hash digest
SHA256	`26be33e5b3b414a895c1c4a4198cd289b3c26a431eedb26a6514051ed8d0123a`
MD5	`aec6c6aec8d29b865ecd4c921cd62dd8`
BLAKE2b-256	`efd6f061dabb51a47b0b20206fcdaf474b80c776fbb23100a66a27897747fc1b`

Algorithm	Hash digest
SHA256	`f8afa023281d89071c9a2192ca2f7ae13d24da9a4ea2fa516b28cb36952e1481`
MD5	`6bbebed3e5123ed8dd672f62faf05088`
BLAKE2b-256	`a46dfc81e183ace8ff1209022ea05181ba4604bb73bebd8e5b3b782c4476aab0`

Algorithm	Hash digest
SHA256	`3ceda47ca49783d1b67b6e6b80844db7b49f1c92cc460d763d80b9570fe7d08d`
MD5	`bc06c7f4eb8a68f32455f12d414dd33c`
BLAKE2b-256	`7801cab3f829785aef3ecf51d6f256245a36b655ab1ecd54df12f3e53bb40d18`

Algorithm	Hash digest
SHA256	`da7128d382b8cfb64f70142a4e77f70211be82faa38b900d5d29cd7c7c4729aa`
MD5	`378ec3137de7213fb4abaa2ab6650d49`
BLAKE2b-256	`ccff6bca775d5ff08e5a803ecfbf1e2245cb066cff9ecc9c5a7ca4add02fd93b`

Algorithm	Hash digest
SHA256	`0ce2fa1ff9bd070086b6e74cf13c20332b54d0db611b0bcf09ae658dd6cac0a2`
MD5	`9a7ea8a6c1d8ff3da1534e56eda86434`
BLAKE2b-256	`c157cf4f5177463d81534c50760bde87c7a45ee14e8fc719a3836fe6fd13d5be`

Algorithm	Hash digest
SHA256	`95ede75150f5a322b626f22e78e258c88fae51650b1b54aa7a066d6b793d2eca`
MD5	`86dde5b60c326dff4e5d35b063a43c80`
BLAKE2b-256	`faa4f0841ed412f544813231abf77e4767877162d9abfbd0c809c27fe3252ffe`

Algorithm	Hash digest
SHA256	`0a6b48638cc53185b8e6532f235df0f933e70d55df1ff99bad5c1b8d7c4d7a52`
MD5	`2e0513e24861238453399060ccc0ccff`
BLAKE2b-256	`ed73758cb08a8893be91b9c414fb0e8a5926c82b39d82ce19ea80983609b2b2b`

Algorithm	Hash digest
SHA256	`569505e914a9c306a62dc1f5d6b36b946da1a202c5184c2329968394f0c891f5`
MD5	`d863ef3ef90f6d89bba333206037cc69`
BLAKE2b-256	`c95fcdedc1d5ddf4f2dbeffbb7e91ee53eff7e38a74237ac449cfcccbfb5b25b`

Algorithm	Hash digest
SHA256	`3014fae947bf4f003d5a55a1803831207831baff5dafe6cf45c969740528b3bf`
MD5	`8ee1a06f35f765e46641b2d316f43771`
BLAKE2b-256	`5574cfa94254542879c0422632f7b1a4fd45137ac721d6687804e375bf3a7f5d`

Algorithm	Hash digest
SHA256	`7e1db71e121b37e5f39b081549465c89e7f64b3ee5903d7fd7b1c935bd1f9725`
MD5	`ee609069b0437fbda172afd367047b73`
BLAKE2b-256	`54cdc71d4a26267a2ae9df37708748ec3188856bb80fd5dfb22dda78d79a723d`