Automated Download of Research Papers from various scientific repositories
Project description
Research Papers right from python
What is pygetpapers
-
pygetpapers is a tool to assist text miners. It makes requests to open access scientific text repositories, analyses the hits, and systematically downloads the articles without further interaction.
-
It comes with the packages
pygetpapers
anddownloadtools
which provide various functions to download, process and save research papers and their metadata. -
The main medium of its interaction with users is through a command-line interface.
-
pygetpapers
has a modular design which makes maintenance easy and simple. This also allows adding support for more repositories simple.
The developer documentation has been setup at readthedocs
History
getpapers
is a tool written by Rik Smith-Unna funded by ContentMine at https://github.com/ContentMine/getpapers. The OpenVirus community requires a Python version and Ayush Garg has written an implementation from scratch, with some enhancements.
Formats supported by pygetpapers
- pygetpapers gives fulltexts in xml and pdf format.
- The metadata for papers can be saved in many formats including JSON, CSV, HTML.
- Queries can be saved in form of an ini configuration file.
- The additional files for papers can also be downloaded. References and citations for papers are given in XML format.
- Log files can be saved in txt format.
Architecture
About the author and community
pygetpapers
has been developed by Ayush Garg under the dear guidance of the OpenVirus community and Peter Murray Rust. Ayush is currently a high school student who believes that the world can only truly progress when knowledge is open and accessible by all.
Testers from OpenVirus have given a lot of useful feedback to Ayush without which this project would not have been possible.
The community has taken time to ensure that everyone can contribute to this project. So, YOU, the developer, reader and researcher can also contribute by testing, developing, and sharing.
Installation
Ensure that pip
is installed along with python. Download python from: https://www.python.org/downloads/ and select the option Add Python to Path while installing.
Check out https://pip.pypa.io/en/stable/installing/ if difficulties installing pip.
Method one (recommended):
-
Ensure git cli is installed and is available in path. Check out (https://git-scm.com/book/en/v2/Getting-Started-Installing-Git)
-
Enter the command:
pip install git+git://github.com/petermr/pygetpapers
-
Ensure pygetpapers has been installed by reopening the terminal and typing the command
pygetpapers
-
You should see a help message come up.
Method two:
-
Manually clone the repository and run
python setup.py install
from inside the repository directory -
Ensure pygetpapers has been installed by reopening the terminal and typing the command
pygetpapers
-
You should see a help message come up.
Usage
pygetpapers
is a commandline tool. You can ask for help by running:
pygetpapers --help
usage: pygetpapers [-h] [--config CONFIG] [-v] [-q QUERY] [-o OUTPUT] [--save_query] [-x] [-p] [-s] [-z]
[--references REFERENCES] [-n] [--citations CITATIONS] [-l LOGLEVEL] [-f LOGFILE] [-k LIMIT]
[-r RESTART] [-u] [--onlyquery] [-c] [--makehtml] [--synonym] [--startdate STARTDATE]
[--enddate ENDDATE] [--terms TERMS] [--api API] [--filter FILTER]
Welcome to Pygetpapers version 0.0.7.8. -h or --help for help
optional arguments:
-h, --help show this help message and exit
--config CONFIG config file path to read query for pygetpapers
-v, --version output the version number
-q QUERY, --query QUERY
query string transmitted to repository API. Eg. "Artificial Intelligence" or "Plant Parts". To
escape special characters within the quotes, use backslash. Incase of nested quotes, ensure
that the initial quotes are double and the qutoes inside are single. For eg: `'(LICENSE:"cc
by" OR LICENSE:"cc-by") AND METHODS:"transcriptome assembly"' ` is wrong. We should instead
use `"(LICENSE:'cc by' OR LICENSE:'cc-by') AND METHODS:'transcriptome assembly'"`
-o OUTPUT, --output OUTPUT
output directory (Default: Folder inside current working directory named )
--save_query saved the passed query in a config file
-x, --xml download fulltext XMLs if available or save metadata as XML
-p, --pdf [E][A] download fulltext PDFs if available (only eupmc and arxiv supported)
-s, --supp [E] download supplementary files if available (only eupmc supported)
-z, --zip [E] download files from ftp endpoint if available (only eupmc supported)
--references REFERENCES
[E] Download references if available. (only eupmc supported)Requires source for references
(AGR,CBA,CTX,ETH,HIR,MED,PAT,PMC,PPR).
-n, --noexecute [ALL] report how many results match the query, but don't actually download anything
--citations CITATIONS
[E] Download citations if available (only eupmc supported). Requires source for citations
(AGR,CBA,CTX,ETH,HIR,MED,PAT,PMC,PPR).
-l LOGLEVEL, --loglevel LOGLEVEL
[All] Provide logging level. Example --log warning <<info,warning,debug,error,critical>>,
default='info'
-f LOGFILE, --logfile LOGFILE
[All] save log to specified file in output directory as well as printing to terminal
-k LIMIT, --limit LIMIT
[All] maximum number of hits (default: 100)
-r RESTART, --restart RESTART
[E] Downloads the missing flags for the corpus.Searches for already existing corpus in the
output directory
-u, --update [E][B][M][C] Updates the corpus by downloading new papers. Requires -k or --limit (If not
provided, default will be used) and -q or --query (must be provided) to be given. Searches for
already existing corpus in the output directory
--onlyquery [E] Saves json file containing the result of the query in storage. (only eupmc supported)The
json file can be given to --restart to download the papers later.
-c, --makecsv [All] Stores the per-document metadata as csv.
--makehtml [All] Stores the per-document metadata as html.
--synonym [E] Results contain synonyms as well.
--startdate STARTDATE
[E][B][M] Gives papers starting from given date. Format: YYYY-MM-DD
--enddate ENDDATE [E][B][M] Gives papers till given date. Format: YYYY-MM-DD
--terms TERMS [All] Location of the txt file which contains terms serperated by a comma which will beOR'ed
among themselves and AND'ed with the query
--api API API to search [eupmc, crossref,arxiv,biorxiv,medrxiv,rxivist] (default: eupmc)
--filter FILTER [C] filter by key value pair (only crossref supported)
Queries are build using -q
flag. The query format can be found at http://europepmc.org/docs/EBI_Europe_PMC_Web_Service_Reference.pdf A condensed guide can be found at https://github.com/petermr/pygetpapers/wiki/query-format
Repository-specific flags
To convey the repository specificity, we've used the first letter of the repository in square brackets in its description.
What is CProject?
A CProject is a directory structure that the AMI toolset uses to gather and process data. Each paper gets its folder. A CTree is a subdirectory of a CProject that deals with a single paper.
Tutorial
pygetpapers
was on version 0.0.7.8
when the tutorials were documented.
pygetpapers
supports multiple APIs including eupmc, crossref,arxiv,biorxiv,medrxiv,rxivist-bio,rxivist-med. By default, it queries EPMC. You can specify the API by using --api
flag.
Features | EPMC | crossref | arxiv | biorxiv | medarxiv | rxvist |
---|---|---|---|---|---|---|
Fulltext formats | xml, pdf | NA | NA | xml | xml | xml |
Metdata formats | json, html, csv | json, xml, csv | json | json, csv, html | json, csv, html | json, html, csv |
--query |
yes | yes | yes | NA | NA | NA |
--update |
yes | NA | NA | yes | yes | |
--restart |
yes | |||||
--citation |
yes | NA | NA | NA | NA | NA |
--references |
yes | NA | NA | NA | NA | NA |
--terms |
yes | yes | yes | NA | NA | NA |
EPMC (Default API)
Example Query
Let's break down the following query:
pygetpapers -q "METHOD: invasive plant species" -k 10 -o "invasive_plant_species_test" -c --makehtml -x --save_query
Flag | What it does | In this case pygetpapers ... |
---|---|---|
-q |
specifies the query | queries for 'essential oil' in METHODS section |
-k |
number of hits (default 100) | limits hits to 30 |
-o |
specifies output directory | outputs to essential_oil_30 |
-x |
downloads fulltext xml | |
-c |
saves per-paper metadata into a single csv | saves single CSV named europe_pmc.csv |
--makehtml |
saves per-paper metadata into a single HTML file | saves single HTML named europe_pmc.html |
--save_query |
saves the given query in a config.ini in output directory |
saves query to saved_config.ini |
pygetpapers
, by default, writes metadata to a JSON file within:
- individual paper directory for corresponding paper (
epmc_result.json
) - working directory for all downloaded papers (
epmc_results.json
)
OUTPUT:
INFO: Final query is METHOD: invasive plant species
INFO: Total Hits are 17910
0it [00:00, ?it/s]WARNING: Keywords not found for paper 1
WARNING: Keywords not found for paper 4
1it [00:00, 164.87it/s]
INFO: Saving XML files to C:\Users\shweata\invasive_plant_species_test\*\fulltext.xml
100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:21<00:00, 2.11s/it]
Scope the number of hits for a query
If you are just scoping the number of hits for a given query, you can use -n
flag as shown below.
pygetpapers -n -q "essential oil"
OUTPUT:
INFO: Final query is essential oil
INFO: Total number of hits for the query are 190710
Update an existing CProject with new papers by feeding the metadata JSON
The --update
command is used to update a CProject with a new set of papers on same or different query.
If let's say you have a corpus of a 30 papers on 'essential oil' (like before) and would like to download 20 more papers to the same CProject directory, you use --update
command.
To update your Cproject, you would give it the -o
flag the already existing CProject name. Additionally, you should also add --update
flag.
INPUT:
pygetpapers -q "invasive plant species" -k 10 -x -o lantana_test_5 --update
OUTPUT:
INFO: Final query is invasive plant species
INFO: Please ensure that you are providing the same --api as the one in the corpus or you may get errors
INFO: Total Hits are 32956
0it [00:00, ?it/s]WARNING: html url not found for paper 5
WARNING: pdf url not found for paper 5
WARNING: Keywords not found for paper 6
WARNING: Keywords not found for paper 7
WARNING: Author list not found for paper 10
1it [00:00, 166.68it/s]
INFO: Saving XML files to C:\Users\shweata\lantana_test_5\*\fulltext.xml
100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 20/20 [01:03<00:00, 3.16s/it]
How is --update
different from just downloading x number of papers to the same output directory?
By using --update
command you can be sure that you don't overwrite the existing papers.
Restart downloading papers to an existing CProject
--restart
flag can be used for two purposes:
-To download papers in different format. Let's say you downloaded XMLs in the first round. If you want to download pdfs for same set of papers, you use this flag.
-
Continue the download from the stage where it broke. This feature would particularly come in handy if you are on poor lines. You can resume downloading at whatever stage you cut off by using the
update
flag as we've described.--restart
flag takes in the absolute path of theJSON
metadata file.pygetpapers -q "invasive plant species" -o lantana_test_5 --restart -c
Difference between --restart
and --update
- If you aren't looking download new set of papers but would want to download a papers in different format for existing papers,
--restart
is the flag you'd want to use - If you are looking to download a new set of papers to an existing Cproject, then you'd use
--update
command. You should note that the format in which you download papers would only apply to the new set of papers and not for the old.
Downloading citations and references for papers, if available
-
--references
and--citations
flags can be used to download the references and citations respectively. -
It also requires source for references (AGR,CBA,CTX,ETH,HIR,MED,PAT,PMC,PPR)
pygetpapers -q "lantana" -k 10 -o "test" -c -x --citation PMC
Downloading only the metadata
If you are looking to download just the metadata in the supported formats--onlyquery
is the flag you use. It saves the metadata in the output directory.
You can use --restart
feature to download the fulltexts for these papers.
INPUT:
pygetpapers --onlyquery -q "lantana" -k 10 -o "lantana_test" -c
OUTPUT:
INFO: Final query is lantana
INFO: Total Hits are 1909
0it [00:00, ?it/s]WARNING: html url not found for paper 1
WARNING: pdf url not found for paper 1
WARNING: Keywords not found for paper 2
WARNING: Keywords not found for paper 3
WARNING: Author list not found for paper 5
WARNING: Author list not found for paper 8
WARNING: Keywords not found for paper 9
1it [00:00, 407.69it/s]
Download papers within certain start and end date range
By using --startdate
and --enddate
you can specify the date range within which the papers you want to download were first published.
pygetpapers -q "METHOD:essential oil" --startdate "2020-01-02" --enddate "2021-09-09"
Saving query for later use
To save a query for later use, you can use --save_query
. What it does is that it saves the query in a .ini
file in the output directory.
pygetpapers -q "lantana" -k 10 -o "lantana_query_config"--save_query
Here is an example config file pygetpapers
outputs
Feed query using config.ini
file
Using can use the config.ini
file you created using --save_query
, you re-run the query. To do so, you will give --config
flag the absolute path of the saved_config.ini
file.
pygetpapers --config "C:\Users\shweata\lantana_query_config\saved_config.ini"
Querying using a term list
If your query is complex with multiple ORs, you can use --terms
feature. To use this, you will:
- Create a
.txt
file with list of terms separated by commas. - Give the
--terms
flag the absolute path of the.txt
file
-q
is optional.The terms would be OR'ed with each other ANDed with the query, if given.
INPUT:
pygetpapers -q "essential oil" --terms C:\Users\shweata\essential_oil_terms.txt -k 10 -o "terms_test_essential_oil" -x
OUTPUT:
C:\Users\shweata>pygetpapers -q "essential oil" --terms C:\Users\shweata\essential_oil_terms.txt -k 10 -o "terms_test_essential_oil"
INFO: Final query is (essential oil AND (antioxidant OR antibacterial OR antifungal OR antiseptic OR antitrichomonal agent))
INFO: Total Hits are 43397
0it [00:00, ?it/s]WARNING: Author list not found for paper 9
1it [00:00, 1064.00it/s]
100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:19<00:00, 1.99s/it]
You can also use this feature to download papers by using the PMC Ids. You can feed the .txt
file with PMC ids comman-separated. Make sure to give a large enough hit number to download all the papers specified in the text file.
Example text file can be found, here INPUT:
pygetpapers --terms C:\Users\shweata\PMCID_pygetpapers_text.txt -k 100 -o "PMCID_test"
OUTPUT:
INFO: Final query is (PMC6856665 OR PMC6877543 OR PMC6927906 OR PMC7008714 OR PMC7040181 OR PMC7080866 OR PMC7082878 OR PMC7096589 OR PMC7111464 OR PMC7142259 OR PMC7158757 OR PMC7174509 OR PMC7193700 OR PMC7198785 OR PMC7201129 OR PMC7203781 OR PMC7206980 OR PMC7214627 OR PMC7214803 OR PMC7220991
)
INFO: Total Hits are 20
WARNING: Could not find more papers
1it [00:00, 505.46it/s]
100%|█████████████████████████████████████████████| 20/20 [00:32<00:00, 1.61s/it]
Log levels
You can specify the log level using the -l
flag. The default as you've already seen so far is info.
INPUT:
pygetpapers -q "lantana" -k 10 -o lantana_test_10_2 --loglevel debug -x
Log file
You can also choose to write the log to a .txt
file in your HOME directory, while simultaneously printing it out.
INPUT:
pygetpapers -q "lantana" -k 10 -o lantana_test_10_4 --loglevel debug -x --logfile test_log.txt
Here is the log file.
Crossref
You can query crossref api only for the metadata.
Sample query
- The metadata formats flags are applicable as described in the EPMC tutorial
--terms
and-q
are also applicable to crossref INPUT:
pygetpapers --api crossref -q "essential oil" --terms C:\Users\shweata\essential_oil_terms.txt -k 10 -o "terms_test_essential_oil_crossref_3" -x -c --makehtml
OUTPUT:
INFO: Final query is (essential oil AND (antioxidant OR antibacterial OR antifungal OR antiseptic OR antitrichomonal agent))
INFO: Making request to crossref
INFO: Got request result from crossref
INFO: Making csv files for metadata at C:\Users\shweata\terms_test_essential_oil_crossref_3
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 185.52it/s]
INFO: Making html files for metadata at C:\Users\shweata\terms_test_essential_oil_crossref_3
100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 87.98it/s]
INFO: Making xml files for metadata at C:\Users\shweata\terms_test_essential_oil_crossref_3
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 366.97it/s]
INFO: Wrote metadata file for the query
INFO: Writing metadata file for the papers at C:\Users\shweata\terms_test_essential_oil_crossref_3
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 996.82it/s]
Filter
arxiv
pygetpapers
allows you to query arxiv
wrapper for metadata and get results in XML format.
Sample query
INPUT
pygetpapers --api arxiv -k 10 -o arxiv_test_2 -q "artificial intelligence" -x
OUTPUT
INFO: Final query is artificial intelligence
INFO: Making request to Arxiv through pygetpapers
INFO: Got request result from Arxiv through pygetpapers
INFO: Requesting 10 results at offset 0
INFO: Requesting page of results
INFO: Got first page; 10 of 10 results available
INFO: Making xml files for metadata at C:\Users\shweata\arxiv_test_2
100%|█████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 427.09it/s]
100%|█████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 982.89it/s]
Biorxiv and Medrxiv
You can query biorxiv
and medrxiv
for fulltext and metadata (in all available formats)
Sample Query - Biorxiv
INPUT:
pygetpapers --api biorxiv --startdate 2021-04-01 -o biorxiv_test -x -c --makehtml -k 20
OUTPUT:
INFO: Final query is (Default Pygetpapers Query) AND (FIRST_PDATE:[2021-04-01 TO 2021-07-19])
INFO: Making Request to rxiv
INFO: Making csv files for metadata at C:\Users\shweata\biorxiv_test
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 17/17 [00:00<00:00, 253.38it/s]
INFO: Making html files for metadata at C:\Users\shweata\biorxiv_test
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 17/17 [00:00<00:00, 218.29it/s]
INFO: Making xml for paper
100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 17/17 [00:33<00:00, 1.99s/it]
INFO: Wrote metadata file for the query
INFO: Writing metadata file for the papers at C:\Users\shweata\biorxiv_test
100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 17/17 [00:00<00:00, 1369.32it/s]
--update
Ensure that you specify the --api
you used to download the existing corpus while updating.
INPUT:
pygetpapers --api biorxiv --update -o biorxiv_test_4 -k 5 --startdate 2021-07-03
OUTPUT:
INFO: Final query is (False) AND (FIRST_PDATE:[2021-07-03 TO 2021-07-21])
INFO: Reading old json metadata file
INFO: Making Request to rxiv
INFO: Wrote metadata file for the query
INFO: Writing metadata file for the papers at C:\Users\shweata
Sample Query - medrxiv
INPUT
pygetpapers --api medrxiv --startdate 2021-04-01 -o medrxiv_test_2 -x -c -p --makehtml -k 20
OUTPUT
INFO: Final query is (Default Pygetpapers Query) AND (FIRST_PDATE:[2021-04-01 TO 2021-07-19])
INFO: Making Request to rxiv
INFO: Making csv files for metadata at C:\Users\shweata\medrxiv_test_2
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 20/20 [00:00<00:00, 168.70it/s]
INFO: Making html files for metadata at C:\Users\shweata\medrxiv_test_2
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 20/20 [00:00<00:00, 229.12it/s]
INFO: Making xml for paper
100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 20/20 [00:38<00:00, 1.92s/it]
INFO: Wrote metadata file for the query
INFO: Writing metadata file for the papers at C:\Users\shweata\medrxiv_test_2
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 20/20 [00:00<00:00, 241.71it/s]
--update
would work the same as medarxiv
rxivist
- Queries both
biorxiv
andmedarxiv
. The difference here is that you can specify a query. But rxivist has now clubbedbiorxiv
andmedarxiv
. That would mean that your downloads would be a mixture of both.
You can only retrieve metadata from rxivist
.
INPUT:
pygetpapers --api rxivist -q "biomedicine" -k 10 -c -x -o "biomedicine_rxivist" --makehtml -p
OUTPUT:
WARNING: Pdf is not supported for this api
INFO: Final query is biomedicine
INFO: Making Request to rxivist
INFO: Making csv files for metadata at C:\Users\shweata\biomedicine_rxivist
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 125.54it/s]
INFO: Making html files for metadata at C:\Users\shweata\biomedicine_rxivist
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 124.71it/s]
INFO: Making xml files for metadata at C:\Users\shweata\biomedicine_rxivist
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 633.38it/s]
INFO: Wrote metadata file for the query
INFO: Writing metadata file for the papers at C:\Users\shweata\biomedicine_rxivist
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 751.09it/s]
Query hits only
Like any other repositories under pygetpapers
, you can use the -n
flag to get only the hit number
INPUT:
C:\Users\shweata>pygetpapers --api rxivist -q "biomedical sciences" -n
OUTPUT:
INFO: Final query is biomedical sciences
INFO: Making Request to rxivist
INFO: Total number of hits for the query are 62
Update
--update
works the same as many other repositories. Make sure to provide rxvist
as api.
INPUT:
pygetpapers --api rxivist -q "biomedical sciences" -k 20 -c -x -o "biomedicine_rxivist" --update
OUPUT:
INFO: Final query is biomedical sciences
INFO: Please ensure that you are providing the same --api as the one in the corpus or you may get errors
INFO: Reading old json metadata file
INFO: Making Request to rxivist
INFO: Making csv files for metadata at C:\Users\shweata\biomedicine_rxivist
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 203.69it/s]
INFO: Making xml files for metadata at C:\Users\shweata\biomedicine_rxivist
100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 1059.17it/s]
INFO: Wrote metadata file for the query
INFO: Writing metadata file for the papers at C:\Users\shweata\biomedicine_rxivist
100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 1077.12it/s]
Contributions
Contributions are welcome through issues as well as pull requests. For direct contributions, you can mail the author at ayush@science.org.in.
To discuss problems or feature requests, file an issue. For bugs, please include as much information as possible, including operating system, python version, and version of all dependencies.
To contribute, make a pull request. Contributions should include tests for any new features/bug fixes and follow best practices including PEP8, etc.
Feature Requests
To request features, please put them in issues
Legal Implications
If you usepygetpapers
, you should be careful to understand the law as it applies to their content mining, as they assume full responsibility for their actions when using the software.
Countries with copyright exceptions for content mining:
- UK
- Japan
Countries with proposed copyright exceptions:
- Ireland
- EU countries
Countries with permissive interpretations of 'fair use' that might allow content mining:
- Israel
- USA
- Canada
General summaries and guides:
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
Hashes for pygetpapers-0.0.8.7-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2562594ea05195bf2d4d156b8f000fd47ed19496f717105fa0011b2e77c1f424 |
|
MD5 | 9ecab0044a6318b7bce1c0cb4ca8b9ec |
|
BLAKE2b-256 | 008309fe4e230b5c9e0b879d14558c970ffb12499fa4578449900084f51d3d42 |