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adsutils-1.0.33
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A Python tool with some general ADS utilities
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | adsutils-1.0.33 |
| نام | adsutils |
| نسخه کتابخانه | 1.0.33 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Edwin Henneken |
| ایمیل نویسنده | ehenneken@cfa.harvard.edu |
| آدرس صفحه اصلی | http://github.com/adsabs/adsutils |
| آدرس اینترنتی | https://pypi.org/project/adsutils/ |
| مجوز | MIT |
[](https://travis-ci.org/adsabs/adsutils)
[](https://coveralls.io/github/adsabs/adsutils?branch=master)
ADSutils
========
This is a module with various ADS specific utilities
## Installing
If you just want to work with these utilities, you can install `adsutils` with pip. It is still advisable to use it in a virtual environment. In your virtual environment just do
```
pip install adsutils
```
and you should be all set to go. This has been tested under MacOS X, CentOS and Ubuntu with Python 2.7.
In case you want to work with the code: clone the repo to a local directory
```
git clone https://github.com/adsabs/adsutils adsutils
```
Go into the newly created directory and create a virtual environment
```
virtualenv --no-site-packages -ppython2.7 venv
```
and start it
```
source venv/bin/activate
```
Update `pip` like
```
pip install -U pip
```
and then install the required software
```
pip install -r requirements.txt
```
Test if things are working:
```
python adsutils/test/nosetests.py
```
## Utility to create bibcodes
Import the relevant module:
```
from adsutils import make_bibcode
```
and provide the necessary metadata:
```
data = {"year":"2006",
"bibstem":'PhRvL',
"volume":"96",
"page":"295701",
"author":'Grünwald, Michael',
}
```
and then call
```
bibcode = make_bibcode(data)
```
and a bibcode will get generated. You will have to determine the correct journal abbreviation (bibstem). The journal abbreviations are available here: http://adsabs.harvard.edu/abs_doc/journals2.html
## Utility to resolve reference strings
Import the relevant module:
```
from adsutils import resolve_references
```
You can provide reference data in various formats:
* A single reference string
* A newline-separated set of reference strings
* A (Python) list of reference strings
Examples:
A case with just one reference string:
```
refdata = 'Hermsen, W., et. al. 1992, IAU Circ. No. 5541'
result = resolve_references(refdata)
```
in which case the result (always a list of dictionaries) will look like
```
[{'refstring': u'Hermsen, W., et. al. 1992, IAU Circ. No. 5541',
'confidence': 'Success',
'bibcode': u'1992IAUC.5541....1H'
}]
```
Multiple reference strings work as follows:
```
refdata = ['J. B. Gupta, and J. H. Hamilton, Phys. Rev. C 16, 427 (1977)', 'Pollock, J. T. 1982, Ph. D. Thesis, University of Florida']
result = resolve_references(refdata)
```
in which case the result (always a list of dictionaries) will look like
```
[{'refstring': u'J. B. Gupta, and J. H. Hamilton, Phys. Rev. C 16, 427 (1977)',
'confidence': 'Success',
'bibcode': u'1977PhRvC..16..427G'},
{'refstring': u'Pollock, J. T. 1982, Ph. D. Thesis, University of Florida',
'confidence': 'Success',
'bibcode': u'1982PhDT.........1P'}]
```
# Possible outcome
The resolver can return three classes of 'confidence' levels:
* Success
* Failed
* Not verified
The only class that needs some explanation is the last one; it is quite possible that the metadata contains enough information to guess a bibcode. The year could be off by 1 (which can also apply to the page or volume number) or a journal was abbreviated in a non-standard way. It is also possible that all the metadata is correct, but the record is not in the ADS database. Even though a bibcode is returned, you cannot assume it is correct. These <em>Not verified</em> cases need further inspection.
## Utility to get ADS journal abbreviation from publication name
An essential part of the ADS publication identifier (<em>bibcode</em>) is the publication abbreviation (<em>bibstem</em>). This utility takes a string representing the publication name and attempts to match it to an ADS abbreviation. It returns a list of candidates and associated scores.
Import the relevant module:
```
from adsutils import get_pub_abbreviation
```
The bibstem candidates are then found as follows:
```
pubstring = 'American Astronautical Society Meeting'
result = get_pub_abbreviation(pubstring)
```
which returns a list of tuples with candidates and their associated scores (sorted by score, descending):
```
[(1.0, 'aans.meet'), (0.98545706272125244, 'AAS......'), (0.95637118816375732, 'aans.symp'), (0.93698060512542725, 'AAS......'), (0.91897505521774292, 'acs..meet')]
```
You can specify that you are only interested in exact matches in the following way:
```
pubstring = 'Astrophysical Journal'
result = get_pub_abbreviation(pubstring, exact=True)
```
which would result in
```
[(1, 'ApJ......')]
```
while
```
pubstring = 'Astrophysical Journ'
result = get_pub_abbreviation(pubstring, exact=True)
```
would result in
```
[]
```
نحوه نصب
نصب پکیج whl adsutils-1.0.33:
pip install adsutils-1.0.33.whl
نصب پکیج tar.gz adsutils-1.0.33:
pip install adsutils-1.0.33.tar.gz