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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
 Handling the WIOD EE MRIO database
Getting the database
The WIOD database is available at http
Step1:  This download the whole 2013 release of WIOD including all extensions. 
The extension (satellite accounts) are provided as zip files. You can use them directly in pymrio (without extracting them). If you want to have them extracted, create a folder with the name of each extension (without the ending ".zip") and extract the zip file there.
Parsing
Parsing a single year
A single year of the WIOD database can be parse by
Step2:  Which loads the specific year and extension data
Step3:  If a WIOD SEA file is present (at the root of path or in a folder named
'SEA' - only one file!), the labor data of this file gets included in the
factor_input extension (calculated for the the three skill levels
available). The monetary data in this file is not added because it is only
given in national currency
Step4:  Provenance tracking and additional meta data is availabe in the field meta
Step5:  WIOD provides three different sector/final demand categories naming
schemes. The one to use for pymrio can specified by passing a tuple 
names= with
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Python Code:
import pymrio
wiod_storage = '/tmp/mrios/WIOD2013'
wiod_meta = pymrio.download_wiod2013(storage_folder=wiod_storage)
Explanation: Handling the WIOD EE MRIO database
Getting the database
The WIOD database is available at http://www.wiod.org. You can download these files with the pymrio automatic downloader as described at WIOD download.
In the most simple case you get the full WIOD database with:
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wiod2007 = pymrio.parse_wiod(year=2007, path=wiod_storage)
Explanation: This download the whole 2013 release of WIOD including all extensions. 
The extension (satellite accounts) are provided as zip files. You can use them directly in pymrio (without extracting them). If you want to have them extracted, create a folder with the name of each extension (without the ending ".zip") and extract the zip file there.
Parsing
Parsing a single year
A single year of the WIOD database can be parse by:
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wiod2007.Z.head()
wiod2007.AIR.F
Explanation: Which loads the specific year and extension data:
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wiod2007.SEA.F
Explanation: If a WIOD SEA file is present (at the root of path or in a folder named
'SEA' - only one file!), the labor data of this file gets included in the
factor_input extension (calculated for the the three skill levels
available). The monetary data in this file is not added because it is only
given in national currency:
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print(wiod2007.meta)
Explanation: Provenance tracking and additional meta data is availabe in the field meta:
End of explanation
wiod2007_full = pymrio.parse_wiod(year=2007, path=wiod_storage, names=('full', 'full'))
wiod2007_full.Y.head()
Explanation: WIOD provides three different sector/final demand categories naming
schemes. The one to use for pymrio can specified by passing a tuple 
names= with:
1) 'isic': ISIC rev 3 Codes - available for interindustry flows and final demand rows.
2) 'full': Full names - available for final demand rows and final demand columns (categories) and interindustry flows.
3) 'c_codes' : WIOD specific sector numbers, available for final demand rows and columns (categories) and interindustry flows.
Internally, the parser relies on 1) for the interindustry flows and 3) for the final demand categories. This is the default and will also be used if just 'isic' gets passed ('c_codes' also replace 'isic' if this was passed for final demand categories). To specify different finial consumption category names, pass a tuple with (sectors/interindustry classification, fd categories), eg ('isic', 'full'). Names are case insensitive and passing the first character is sufficient.
For example, for loading wiod with full sector names:
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