[System] You are solving numerical reasoning over financial reports. Use only the provided question, pre-table text, table, and post-table text. Return ONLY a JSON object with exactly one key: "program_tokens". The value must be a list of FinQA DSL program tokens ending with "EOF". Do not return the final answer directly and do not include extra text.

[User]
Question:
what percentage of total commercial mortgages were at fair value?

Pre-table text:
december 31 , 2009 , $ 397 million of the credit losses related to securities rated below investment grade .
as of december 31 , 2009 , the noncredit portion of otti losses recorded in accumulated other comprehensive loss for non-agency residential mortgage-backed securities totaled $ 1.1 billion and the related securities had a fair value of $ 2.6 billion .
the fair value of sub-investment grade investment securities for which we have not recorded an otti credit loss as of december 31 , 2009 totaled $ 2.6 billion , with unrealized net losses of $ 658 million .
the results of our security-level assessments indicate that we will recover the entire cost basis of these securities .
note 7 investment securities in the notes to consolidated financial statements of this report provides further detail regarding our process for assessing otti for these securities .
commercial mortgage-backed securities the fair value of the non-agency commercial mortgage- backed securities portfolio was $ 6.1 billion at december 31 , 2009 and consisted of fixed-rate , private-issuer securities collateralized by non-residential properties , primarily retail properties , office buildings , and multi-family housing .
the agency commercial mortgage-backed securities portfolio was $ 1.3 billion fair value at december 31 , 2009 consisting of multi-family housing .
substantially all of the securities are the most senior tranches in the subordination structure .
we recorded otti credit losses of $ 6 million on non-agency commercial mortgage-backed securities during 2009 .
the remaining fair value of the securities for which otti was recorded approximates zero .
all of the credit-impaired securities were rated below investment grade .
asset-backed securities the fair value of the asset-backed securities portfolio was $ 4.8 billion at december 31 , 2009 and consisted of fixed-rate and floating-rate , private-issuer securities collateralized primarily by various consumer credit products , including residential mortgage loans , credit cards , and automobile loans .
substantially all of the securities are senior tranches in the securitization structure and have credit protection in the form of credit enhancement , over-collateralization and/or excess spread accounts .
we recorded otti credit losses of $ 111 million on asset- backed securities during 2009 .
all of the securities were collateralized by first and second lien residential mortgage loans and were rated below investment grade .
as of december 31 , 2009 , the noncredit portion of otti losses recorded in accumulated other comprehensive loss for asset- backed securities totaled $ 221 million and the related securities had a fair value of $ 562 million .
for the sub-investment grade investment securities for which we have not recorded an otti loss through december 31 , 2009 , the remaining fair value was $ 381 million , with unrealized net losses of $ 110 million .
the results of our security-level assessments indicate that we will recover the entire cost basis of these securities .
note 7 investment securities in the notes to consolidated financial statements of this report provides further detail regarding our process for assessing otti for these securities .
if the current housing and economic conditions were to continue for the foreseeable future or worsen , if market volatility and illiquidity were to continue or worsen , or if market interest rates were to increase appreciably , the valuation of our investment securities portfolio could continue to be adversely affected and we could incur additional otti credit losses that would impact our consolidated income statement .
loans held for sale in millions dec .
31 dec .
31 .

Table:
in millions	dec.31 2009	dec . 312008
commercial mortgages at fair value	$ 1050	$ 1401
commercial mortgages at lower of cost or market	251	747
total commercial mortgages	1301	2148
residential mortgages at fair value	1012	1824
residential mortgages at lower of cost or market		138
total residential mortgages	1012	1962
other	226	256
total	$ 2539	$ 4366

Post-table text:
we stopped originating commercial mortgage loans held for sale designated at fair value during the first quarter of 2008 and intend to continue pursuing opportunities to reduce these positions at appropriate prices .
for commercial mortgages held for sale carried at the lower of cost or market , strong origination volumes partially offset sales to government agencies of $ 5.4 billion during 2009 .
we recognized net gains of $ 107 million in 2009 on the valuation and sale of commercial mortgage loans held for sale , net of hedges , carried at fair value and lower of cost or market compared with losses of $ 197 million in 2008 .
we sold $ .3 billion and $ .6 billion , respectively , of commercial mortgage loans held for sale carried at fair value in 2009 and 2008 .
residential mortgage loans held for sale decreased during 2009 despite strong refinancing volumes , especially in the first quarter .
loan origination volume was $ 19.1 billion .
substantially all such loans were originated to agency standards .
we sold $ 19.8 billion of loans and recognized related gains of $ 435 million during 2009 .
net interest income on residential mortgage loans held for sale was $ 332 million for 2009. .

Allowed operations:
add, subtract, multiply, divide, greater, exp, table_max, table_min, table_sum, table_average

Return JSON only in this form:
{"program_tokens": ["divide(", "9413", "20.01", ")", "EOF"]}


[System] You are solving numerical reasoning over financial reports. Use only the provided question, pre-table text, table, and post-table text. Return ONLY a JSON object with exactly one key: "program_tokens". The value must be a list of FinQA DSL program tokens ending with "EOF". Do not return the final answer directly and do not include extra text.

[User]
Question:
what was the sum of the notes entergy issued to nypa with seven and eight annual payment installments

Pre-table text:
entergy corporation notes to consolidated financial statements ( d ) the bonds are subject to mandatory tender for purchase from the holders at 100% ( 100 % ) of the principal amount outstanding on october 1 , 2003 and will then be remarketed .
( e ) on june 1 , 2002 , entergy louisiana remarketed $ 55 million st .
charles parish pollution control revenue refunding bonds due 2030 , resetting the interest rate to 4.9% ( 4.9 % ) through may 2005 .
( f ) the bonds are subject to mandatory tender for purchase from the holders at 100% ( 100 % ) of the principal amount outstanding on june 1 , 2005 and will then be remarketed .
( g ) the fair value excludes lease obligations , long-term doe obligations , and other long-term debt and includes debt due within one year .
it is determined using bid prices reported by dealer markets and by nationally recognized investment banking firms .
the annual long-term debt maturities ( excluding lease obligations ) and annual cash sinking fund requirements for debt outstanding as of december 31 , 2002 , for the next five years are as follows ( in thousands ) : .

Table:
2003	$ 1150786
2004	$ 925005
2005	$ 540372
2006	$ 139952
2007	$ 475288

Post-table text:
not included are other sinking fund requirements of approximately $ 30.2 million annually , which may be satisfied by cash or by certification of property additions at the rate of 167% ( 167 % ) of such requirements .
in december 2002 , when the damhead creek project was sold , the buyer of the project assumed all obligations under the damhead creek credit facilities and the damhead creek interest rate swap agreements .
in november 2000 , entergy's non-utility nuclear business purchased the fitzpatrick and indian point 3 power plants in a seller-financed transaction .
entergy issued notes to nypa with seven annual installments of approximately $ 108 million commencing one year from the date of the closing , and eight annual installments of $ 20 million commencing eight years from the date of the closing .
these notes do not have a stated interest rate , but have an implicit interest rate of 4.8% ( 4.8 % ) .
in accordance with the purchase agreement with nypa , the purchase of indian point 2 resulted in entergy's non-utility nuclear business becoming liable to nypa for an additional $ 10 million per year for 10 years , beginning in september 2003 .
this liability was recorded upon the purchase of indian point 2 in september 2001 .
covenants in the entergy corporation 7.75% ( 7.75 % ) notes require it to maintain a consolidated debt ratio of 65% ( 65 % ) or less of its total capitalization .
if entergy's debt ratio exceeds this limit , or if entergy or certain of the domestic utility companies default on other credit facilities or are in bankruptcy or insolvency proceedings , an acceleration of the facility's maturity may occur .
in january 2003 , entergy paid in full , at maturity , the outstanding debt relating to the top of iowa wind project .
capital funds agreement pursuant to an agreement with certain creditors , entergy corporation has agreed to supply system energy with sufficient capital to : fffd maintain system energy's equity capital at a minimum of 35% ( 35 % ) of its total capitalization ( excluding short-term debt ) ; fffd permit the continued commercial operation of grand gulf 1 ; fffd pay in full all system energy indebtedness for borrowed money when due ; and fffd enable system energy to make payments on specific system energy debt , under supplements to the agreement assigning system energy's rights in the agreement as security for the specific debt. .

Allowed operations:
add, subtract, multiply, divide, greater, exp, table_max, table_min, table_sum, table_average

Return JSON only in this form:
{"program_tokens": ["divide(", "9413", "20.01", ")", "EOF"]}


[System] You are solving numerical reasoning over financial reports. Use only the provided question, pre-table text, table, and post-table text. Return ONLY a JSON object with exactly one key: "program_tokens". The value must be a list of FinQA DSL program tokens ending with "EOF". Do not return the final answer directly and do not include extra text.

[User]
Question:
what was the change in millions of trade receivables sold from 2014 to 2015?

Pre-table text:
in addition to the committed credit facilities discussed above , certain of our subsidiaries maintain short-term credit arrangements to meet their respective working capital needs .
these credit arrangements , which amounted to approximately $ 2.9 billion at december 31 , 2015 , and $ 3.2 billion at december 31 , 2014 , are for the sole use of our subsidiaries .
borrowings under these arrangements amounted to $ 825 million at december 31 , 2015 , and $ 1.2 billion at december 31 , 2014 .
commercial paper program 2013 we have commercial paper programs in place in the u.s .
and in europe .
at december 31 , 2015 and december 31 , 2014 , we had no commercial paper outstanding .
effective april 19 , 2013 , our commercial paper program in the u.s .
was increased by $ 2.0 billion .
as a result , our commercial paper programs in place in the u.s .
and in europe currently have an aggregate issuance capacity of $ 8.0 billion .
we expect that the existence of the commercial paper program and the committed credit facilities , coupled with our operating cash flows , will enable us to meet our liquidity requirements .
sale of accounts receivable 2013 to mitigate credit risk and enhance cash and liquidity management we sell trade receivables to unaffiliated financial institutions .
these arrangements allow us to sell , on an ongoing basis , certain trade receivables without recourse .
the trade receivables sold are generally short-term in nature and are removed from the consolidated balance sheets .
we sell trade receivables under two types of arrangements , servicing and non-servicing .
pmi 2019s operating cash flows were positively impacted by the amount of the trade receivables sold and derecognized from the consolidated balance sheets , which remained outstanding with the unaffiliated financial institutions .
the trade receivables sold that remained outstanding under these arrangements as of december 31 , 2015 , 2014 and 2013 were $ 888 million , $ 120 million and $ 146 million , respectively .
the net proceeds received are included in cash provided by operating activities in the consolidated statements of cash flows .
for further details , see item 8 , note 23 .
sale of accounts receivable to our consolidated financial statements .
debt 2013 our total debt was $ 28.5 billion at december 31 , 2015 , and $ 29.5 billion at december 31 , 2014 .
our total debt is primarily fixed rate in nature .
for further details , see item 8 , note 7 .
indebtedness .
the weighted-average all-in financing cost of our total debt was 3.0% ( 3.0 % ) in 2015 , compared to 3.2% ( 3.2 % ) in 2014 .
see item 8 , note 16 .
fair value measurements to our consolidated financial statements for a discussion of our disclosures related to the fair value of debt .
the amount of debt that we can issue is subject to approval by our board of directors .
on february 21 , 2014 , we filed a shelf registration statement with the u.s .
securities and exchange commission , under which we may from time to time sell debt securities and/or warrants to purchase debt securities over a three-year period .
our debt issuances in 2015 were as follows : ( in millions ) type face value interest rate issuance maturity u.s .
dollar notes ( a ) $ 500 1.250% ( 1.250 % ) august 2015 august 2017 u.s .
dollar notes ( a ) $ 750 3.375% ( 3.375 % ) august 2015 august 2025 ( a ) interest on these notes is payable annually in arrears beginning in february 2016 .
the net proceeds from the sale of the securities listed in the table above will be used for general corporate purposes .
the weighted-average time to maturity of our long-term debt was 10.8 years at the end of 2014 and 10.5 years at the end of 2015 .
2022 off-balance sheet arrangements and aggregate contractual obligations we have no off-balance sheet arrangements , including special purpose entities , other than guarantees and contractual obligations discussed below. .

Table:
type		face value	interest rate	issuance	maturity
u.s . dollar notes	( a )	$ 500	1.250% ( 1.250 % )	august 2015	august 2017
u.s . dollar notes	( a )	$ 750	3.375% ( 3.375 % )	august 2015	august 2025

Post-table text:
in addition to the committed credit facilities discussed above , certain of our subsidiaries maintain short-term credit arrangements to meet their respective working capital needs .
these credit arrangements , which amounted to approximately $ 2.9 billion at december 31 , 2015 , and $ 3.2 billion at december 31 , 2014 , are for the sole use of our subsidiaries .
borrowings under these arrangements amounted to $ 825 million at december 31 , 2015 , and $ 1.2 billion at december 31 , 2014 .
commercial paper program 2013 we have commercial paper programs in place in the u.s .
and in europe .
at december 31 , 2015 and december 31 , 2014 , we had no commercial paper outstanding .
effective april 19 , 2013 , our commercial paper program in the u.s .
was increased by $ 2.0 billion .
as a result , our commercial paper programs in place in the u.s .
and in europe currently have an aggregate issuance capacity of $ 8.0 billion .
we expect that the existence of the commercial paper program and the committed credit facilities , coupled with our operating cash flows , will enable us to meet our liquidity requirements .
sale of accounts receivable 2013 to mitigate credit risk and enhance cash and liquidity management we sell trade receivables to unaffiliated financial institutions .
these arrangements allow us to sell , on an ongoing basis , certain trade receivables without recourse .
the trade receivables sold are generally short-term in nature and are removed from the consolidated balance sheets .
we sell trade receivables under two types of arrangements , servicing and non-servicing .
pmi 2019s operating cash flows were positively impacted by the amount of the trade receivables sold and derecognized from the consolidated balance sheets , which remained outstanding with the unaffiliated financial institutions .
the trade receivables sold that remained outstanding under these arrangements as of december 31 , 2015 , 2014 and 2013 were $ 888 million , $ 120 million and $ 146 million , respectively .
the net proceeds received are included in cash provided by operating activities in the consolidated statements of cash flows .
for further details , see item 8 , note 23 .
sale of accounts receivable to our consolidated financial statements .
debt 2013 our total debt was $ 28.5 billion at december 31 , 2015 , and $ 29.5 billion at december 31 , 2014 .
our total debt is primarily fixed rate in nature .
for further details , see item 8 , note 7 .
indebtedness .
the weighted-average all-in financing cost of our total debt was 3.0% ( 3.0 % ) in 2015 , compared to 3.2% ( 3.2 % ) in 2014 .
see item 8 , note 16 .
fair value measurements to our consolidated financial statements for a discussion of our disclosures related to the fair value of debt .
the amount of debt that we can issue is subject to approval by our board of directors .
on february 21 , 2014 , we filed a shelf registration statement with the u.s .
securities and exchange commission , under which we may from time to time sell debt securities and/or warrants to purchase debt securities over a three-year period .
our debt issuances in 2015 were as follows : ( in millions ) type face value interest rate issuance maturity u.s .
dollar notes ( a ) $ 500 1.250% ( 1.250 % ) august 2015 august 2017 u.s .
dollar notes ( a ) $ 750 3.375% ( 3.375 % ) august 2015 august 2025 ( a ) interest on these notes is payable annually in arrears beginning in february 2016 .
the net proceeds from the sale of the securities listed in the table above will be used for general corporate purposes .
the weighted-average time to maturity of our long-term debt was 10.8 years at the end of 2014 and 10.5 years at the end of 2015 .
2022 off-balance sheet arrangements and aggregate contractual obligations we have no off-balance sheet arrangements , including special purpose entities , other than guarantees and contractual obligations discussed below. .

Allowed operations:
add, subtract, multiply, divide, greater, exp, table_max, table_min, table_sum, table_average

Return JSON only in this form:
{"program_tokens": ["divide(", "9413", "20.01", ")", "EOF"]}


[System] You are solving numerical reasoning over financial reports. Use only the provided question, pre-table text, table, and post-table text. Return ONLY a JSON object with exactly one key: "program_tokens". The value must be a list of FinQA DSL program tokens ending with "EOF". Do not return the final answer directly and do not include extra text.

[User]
Question:
what was the percent of the total purchase price for the purchase of a portfolio of five industrial buildings , in seattle , virginia and houston that was allocated to in-service real estate assets

Pre-table text:
use of estimates the preparation of the financial statements requires management to make a number of estimates and assumptions that affect the reported amount of assets and liabilities and the disclosure of contingent assets and liabilities at the date of the financial statements and the reported amounts of revenues and expenses during the period .
actual results could differ from those estimates .
( 3 ) significant acquisitions and dispositions acquisitions we acquired total income producing real estate related assets of $ 219.9 million , $ 948.4 million and $ 295.6 million in 2007 , 2006 and 2005 , respectively .
in december 2007 , in order to further establish our property positions around strategic port locations , we purchased a portfolio of five industrial buildings , in seattle , virginia and houston , as well as approximately 161 acres of undeveloped land and a 12-acre container storage facility in houston .
the total price was $ 89.7 million and was financed in part through assumption of secured debt that had a fair value of $ 34.3 million .
of the total purchase price , $ 66.1 million was allocated to in-service real estate assets , $ 20.0 million was allocated to undeveloped land and the container storage facility , $ 3.3 million was allocated to lease related intangible assets , and the remaining amount was allocated to acquired working capital related assets and liabilities .
this allocation of purchase price based on the fair value of assets acquired is preliminary .
the results of operations for the acquired properties since the date of acquisition have been included in continuing rental operations in our consolidated financial statements .
in february 2007 , we completed the acquisition of bremner healthcare real estate ( 201cbremner 201d ) , a national health care development and management firm .
the primary reason for the acquisition was to expand our development capabilities within the health care real estate market .
the initial consideration paid to the sellers totaled $ 47.1 million , and the sellers may be eligible for further contingent payments over the next three years .
approximately $ 39.0 million of the total purchase price was allocated to goodwill , which is attributable to the value of bremner 2019s overall development capabilities and its in-place workforce .
the results of operations for bremner since the date of acquisition have been included in continuing operations in our consolidated financial statements .
in february 2006 , we acquired the majority of a washington , d.c .
metropolitan area portfolio of suburban office and light industrial properties ( the 201cmark winkler portfolio 201d ) .
the assets acquired for a purchase price of approximately $ 867.6 million are comprised of 32 in-service properties with approximately 2.9 million square feet for rental , 166 acres of undeveloped land , as well as certain related assets of the mark winkler company , a real estate management company .
the acquisition was financed primarily through assumed mortgage loans and new borrowings .
the assets acquired and liabilities assumed were recorded at their estimated fair value at the date of acquisition , as summarized below ( in thousands ) : .

Table:
operating rental properties	$ 602011
land held for development	154300
total real estate investments	756311
other assets	10478
lease related intangible assets	86047
goodwill	14722
total assets acquired	867558
debt assumed	-148527 ( 148527 )
other liabilities assumed	-5829 ( 5829 )
purchase price net of assumed liabilities	$ 713202

Post-table text:
purchase price , net of assumed liabilities $ 713202 .

Allowed operations:
add, subtract, multiply, divide, greater, exp, table_max, table_min, table_sum, table_average

Return JSON only in this form:
{"program_tokens": ["divide(", "9413", "20.01", ")", "EOF"]}


[System] You are solving numerical reasoning over financial reports. Use only the provided question, pre-table text, table, and post-table text. Return ONLY a JSON object with exactly one key: "program_tokens". The value must be a list of FinQA DSL program tokens ending with "EOF". Do not return the final answer directly and do not include extra text.

[User]
Question:
contract generation revenues were what in millions in 2001?

Pre-table text:
gross margin gross margin increased $ 307 million , or 15% ( 15 % ) , to $ 2.3 billion in 2001 from $ 2.0 billion in 2000 .
gross margin as a percentage of revenues decreased to 25% ( 25 % ) in 2000 from 26% ( 26 % ) in 2001 .
the increase in gross margin is due to acquisition of new businesses and new operations from greenfield projects offset by lower market prices in the united kingdom .
the decrease in gross margin as a percentage of revenues is due to a decline in the competitive supply and contract generation gross margin percentages offset slightly by increased gross margin percentages from large utilities and growth distribution .
excluding businesses acquired or that commenced commercial operations in 2001 or 2000 , gross margin decreased 2% ( 2 % ) to $ 1.8 billion in 2001. .

Table:
	2001	2000	% (  % ) change
contract generation	$ 827 million	$ 767 million	8% ( 8 % )
competitive supply	$ 440 million	$ 559 million	( 21% ( 21 % ) )
large utilities	$ 739 million	$ 538 million	37% ( 37 % )
growth distribution	$ 296 million	$ 131 million	126% ( 126 % )

Post-table text:
contract generation gross margin increased $ 60 million , or 8% ( 8 % ) , to $ 827 million in 2001 from $ 767 million in 2000 .
excluding businesses acquired or that commenced commercial operations during 2001 and 2000 , contract generation gross margin decreased 6% ( 6 % ) to $ 710 million in 2001 .
contract generation gross margin increased in all geographic regions except for asia .
the contract generation gross margin as a percentage of revenues decreased to 33% ( 33 % ) in 2001 from 44% ( 44 % ) in 2000 .
in south america , contract generation gross margin increased $ 17 million and was 27% ( 27 % ) of revenues .
the increase is due to the acquisition of gener offset by a decline at tiete from the rationing of electricity in brazil .
in north america , contract generation gross margin increased $ 8 million and was 50% ( 50 % ) of revenues .
the increase is due to improvements at southland and beaver valley partially offset by a decrease at thames from the contract buydown ( see footnote 13 to the company 2019s consolidated financial statements ) .
in europe/ africa , contract generation gross margin increased $ 44 million and was 30% ( 30 % ) of revenues .
the increase is due primarily to our additional ownership interest in kilroot and the acquisition of ebute in nigeria .
in asia , contract generation gross margin decreased $ 22 million and was 29% ( 29 % ) of revenues .
the decrease is due mainly to additional bad debt provisions at jiaozuo , hefei and aixi in china that were partially offset by the start of commercial operations at haripur .
the decrease in contract generation gross margin as a percentage of revenue is due to the acquisition of generation businesses with overall gross margin percentages , which are lower than the overall portfolio of generation businesses .
as a percentage of sales , contract generation gross margin declined in south america and asia , was relatively flat in north america and increased in europe/africa and the caribbean .
the competitive supply gross margin decreased $ 119 million , or 21% ( 21 % ) , to $ 440 million in 2001 from $ 559 million in 2000 .
excluding businesses acquired or that commenced commercial operations during 2001 and 2000 , competitive supply gross margin decreased 26% ( 26 % ) to $ 408 million in 2001 .
the overall decrease is due to declines in europe/africa and south america that were partially offset by slight increases in north america , the caribbean and asia .
the competitive supply gross margin as a percentage of revenues decreased to 16% ( 16 % ) in 2001 from 23% ( 23 % ) in 2000 .
in south america , competitive supply segment gross margin decreased $ 61 million and was 1% ( 1 % ) of revenues due to declines at our businesses in argentina .
in europe/africa , competitive supply segment gross margin decreased $ 95 million and was 22% ( 22 % ) of revenues .
the decrease is due primarily to declines at drax , barry and fifoots from the lower market prices in the u.k .
in north america , competitive supply segment gross margin increased $ 14 million and was 11% ( 11 % ) of revenues .
the increase was due to an expanded customer base at new energy and was partially offset by decreases at somerset in new york and deepwater in texas .
in the caribbean ( which includes colombia ) , the competitive supply gross margin increased $ 15 million and was 29% ( 29 % ) of revenues .
the increase is due primarily to the acquisition of chivor .
as a percentage .

Allowed operations:
add, subtract, multiply, divide, greater, exp, table_max, table_min, table_sum, table_average

Return JSON only in this form:
{"program_tokens": ["divide(", "9413", "20.01", ")", "EOF"]}


[System] You are solving numerical reasoning over financial reports. Use only the provided question, pre-table text, table, and post-table text. Return ONLY a JSON object with exactly one key: "program_tokens". The value must be a list of FinQA DSL program tokens ending with "EOF". Do not return the final answer directly and do not include extra text.

[User]
Question:
what is the percentage increase in total stock-based compensation expense from 2009 to 2010?

Pre-table text:
material impact on the service cost and interest cost components of net periodic benefit costs for a 1% ( 1 % ) change in the assumed health care trend rate .
for most of the participants in the u.s .
plan , aon 2019s liability for future plan cost increases for pre-65 and medical supplement plan coverage is limited to 5% ( 5 % ) per annum .
because of this cap , net employer trend rates for these plans are effectively limited to 5% ( 5 % ) per year in the future .
during 2007 , aon recognized a plan amendment which phases out post-65 retiree coverage in its u.s .
plan over the next three years .
the impact of this amendment on net periodic benefit cost is being recognized over the average remaining service life of the employees .
14 .
stock compensation plans the following table summarizes stock-based compensation expense recognized in continuing operations in the consolidated statements of income in compensation and benefits ( in millions ) : .

Table:
years ended december 31	2010	2009	2008
rsus	$ 138	$ 124	$ 132
performance plans	62	60	67
stock options	17	21	24
employee stock purchase plans	4	4	3
total stock-based compensation expense	221	209	226
tax benefit	75	68	82
stock-based compensation expense net of tax	$ 146	$ 141	$ 144

Post-table text:
during 2009 , the company converted its stock administration system to a new service provider .
in connection with this conversion , a reconciliation of the methodologies and estimates utilized was performed , which resulted in a $ 12 million reduction of expense for the year ended december 31 , 2009 .
stock awards stock awards , in the form of rsus , are granted to certain employees and consist of both performance-based and service-based rsus .
service-based awards generally vest between three and ten years from the date of grant .
the fair value of service-based awards is based upon the market value of the underlying common stock at the date of grant .
with certain limited exceptions , any break in continuous employment will cause the forfeiture of all unvested awards .
compensation expense associated with stock awards is recognized over the service period .
dividend equivalents are paid on certain service-based rsus , based on the initial grant amount .
performance-based rsus have been granted to certain employees .
vesting of these awards is contingent upon meeting various individual , divisional or company-wide performance conditions , including revenue generation or growth in revenue , pretax income or earnings per share over a one- to five-year period .
the performance conditions are not considered in the determination of the grant date fair value for these awards .
the fair value of performance-based awards is based upon the market price of the underlying common stock at the date of grant .
compensation expense is recognized over the performance period , and in certain cases an additional vesting period , based on management 2019s estimate of the number of units expected to vest .
compensation expense is adjusted to reflect the actual number of shares paid out at the end of the programs .
the actual payout of shares under these performance- based plans may range from 0-200% ( 0-200 % ) of the number of units granted , based on the plan .
dividend equivalents are generally not paid on the performance-based rsus .
during 2010 , the company granted approximately 1.6 million shares in connection with the completion of the 2007 leadership performance plan ( 2018 2018lpp 2019 2019 ) cycle and 84000 shares related to other performance plans .
during 2010 , 2009 and 2008 , the company granted approximately 3.5 million .

Allowed operations:
add, subtract, multiply, divide, greater, exp, table_max, table_min, table_sum, table_average

Return JSON only in this form:
{"program_tokens": ["divide(", "9413", "20.01", ")", "EOF"]}


[System] You are solving numerical reasoning over financial reports. Use only the provided question, pre-table text, table, and post-table text. Return ONLY a JSON object with exactly one key: "program_tokens". The value must be a list of FinQA DSL program tokens ending with "EOF". Do not return the final answer directly and do not include extra text.

[User]
Question:
what is the percent change in net revenue from 2015 to 2016?

Pre-table text:
amortized over a nine-year period beginning december 2015 .
see note 2 to the financial statements for further discussion of the business combination and customer credits .
the volume/weather variance is primarily due to the effect of more favorable weather during the unbilled period and an increase in industrial usage , partially offset by the effect of less favorable weather on residential sales .
the increase in industrial usage is primarily due to expansion projects , primarily in the chemicals industry , and increased demand from new customers , primarily in the industrial gases industry .
the louisiana act 55 financing savings obligation variance results from a regulatory charge for tax savings to be shared with customers per an agreement approved by the lpsc .
the tax savings resulted from the 2010-2011 irs audit settlement on the treatment of the louisiana act 55 financing of storm costs for hurricane gustav and hurricane ike .
see note 3 to the financial statements for additional discussion of the settlement and benefit sharing .
included in other is a provision of $ 23 million recorded in 2016 related to the settlement of the waterford 3 replacement steam generator prudence review proceeding , offset by a provision of $ 32 million recorded in 2015 related to the uncertainty at that time associated with the resolution of the waterford 3 replacement steam generator prudence review proceeding . a0 see note 2 to the financial statements for a discussion of the waterford 3 replacement steam generator prudence review proceeding .
entergy wholesale commodities following is an analysis of the change in net revenue comparing 2016 to 2015 .
amount ( in millions ) .

Table:
	amount ( in millions )
2015 net revenue	$ 1666
nuclear realized price changes	-149 ( 149 )
rhode island state energy center	-44 ( 44 )
nuclear volume	-36 ( 36 )
fitzpatrick reimbursement agreement	41
nuclear fuel expenses	68
other	-4 ( 4 )
2016 net revenue	$ 1542

Post-table text:
as shown in the table above , net revenue for entergy wholesale commodities decreased by approximately $ 124 million in 2016 primarily due to : 2022 lower realized wholesale energy prices and lower capacity prices , the amortization of the palisades below- market ppa , and vermont yankee capacity revenue .
the effect of the amortization of the palisades below- market ppa and vermont yankee capacity revenue on the net revenue variance from 2015 to 2016 is minimal ; 2022 the sale of the rhode island state energy center in december 2015 .
see note 14 to the financial statements for further discussion of the rhode island state energy center sale ; and 2022 lower volume in the entergy wholesale commodities nuclear fleet resulting from more refueling outage days in 2016 as compared to 2015 and larger exercise of resupply options in 2016 as compared to 2015 .
see 201cnuclear matters - indian point 201d below for discussion of the extended indian point 2 outage in the second quarter entergy corporation and subsidiaries management 2019s financial discussion and analysis .

Allowed operations:
add, subtract, multiply, divide, greater, exp, table_max, table_min, table_sum, table_average

Return JSON only in this form:
{"program_tokens": ["divide(", "9413", "20.01", ")", "EOF"]}


[System] You are solving numerical reasoning over financial reports. Use only the provided question, pre-table text, table, and post-table text. Return ONLY a JSON object with exactly one key: "program_tokens". The value must be a list of FinQA DSL program tokens ending with "EOF". Do not return the final answer directly and do not include extra text.

[User]
Question:
what is the percentage change in the unamortized debt issuance costs associated with its credit facilities from 2016 to 2017?

Pre-table text:
as of december 31 , 2017 , the company had gross state income tax credit carry-forwards of approximately $ 20 million , which expire from 2018 through 2020 .
a deferred tax asset of approximately $ 16 million ( net of federal benefit ) has been established related to these state income tax credit carry-forwards , with a valuation allowance of $ 7 million against such deferred tax asset as of december 31 , 2017 .
the company had a gross state net operating loss carry-forward of $ 39 million , which expires in 2027 .
a deferred tax asset of approximately $ 3 million ( net of federal benefit ) has been established for the net operating loss carry-forward , with a full valuation allowance as of december 31 , 2017 .
other state and foreign net operating loss carry-forwards are separately and cumulatively immaterial to the company 2019s deferred tax balances and expire between 2026 and 2036 .
14 .
debt long-term debt consisted of the following: .

Table:
( $ in millions )	december 31 2017	december 31 2016
senior notes due december 15 2021 5.000% ( 5.000 % )	2014	600
senior notes due november 15 2025 5.000% ( 5.000 % )	600	600
senior notes due december 1 2027 3.483% ( 3.483 % )	600	2014
mississippi economic development revenue bonds due may 1 2024 7.81% ( 7.81 % )	84	84
gulf opportunity zone industrial development revenue bonds due december 1 2028 4.55% ( 4.55 % )	21	21
less unamortized debt issuance costs	-26 ( 26 )	-27 ( 27 )
total long-term debt	1279	1278

Post-table text:
credit facility - in november 2017 , the company terminated its second amended and restated credit agreement and entered into a new credit agreement ( the "credit facility" ) with third-party lenders .
the credit facility includes a revolving credit facility of $ 1250 million , which may be drawn upon during a period of five years from november 22 , 2017 .
the revolving credit facility includes a letter of credit subfacility of $ 500 million .
the revolving credit facility has a variable interest rate on outstanding borrowings based on the london interbank offered rate ( "libor" ) plus a spread based upon the company's credit rating , which may vary between 1.125% ( 1.125 % ) and 1.500% ( 1.500 % ) .
the revolving credit facility also has a commitment fee rate on the unutilized balance based on the company 2019s leverage ratio .
the commitment fee rate as of december 31 , 2017 was 0.25% ( 0.25 % ) and may vary between 0.20% ( 0.20 % ) and 0.30% ( 0.30 % ) .
the credit facility contains customary affirmative and negative covenants , as well as a financial covenant based on a maximum total leverage ratio .
each of the company's existing and future material wholly owned domestic subsidiaries , except those that are specifically designated as unrestricted subsidiaries , are and will be guarantors under the credit facility .
in july 2015 , the company used cash on hand to repay all amounts outstanding under a prior credit facility , including $ 345 million in principal amount of outstanding term loans .
as of december 31 , 2017 , $ 15 million in letters of credit were issued but undrawn , and the remaining $ 1235 million of the revolving credit facility was unutilized .
the company had unamortized debt issuance costs associated with its credit facilities of $ 11 million and $ 8 million as of december 31 , 2017 and 2016 , respectively .
senior notes - in december 2017 , the company issued $ 600 million aggregate principal amount of unregistered 3.483% ( 3.483 % ) senior notes with registration rights due december 2027 , the net proceeds of which were used to repurchase the company's 5.000% ( 5.000 % ) senior notes due in 2021 in connection with the 2017 redemption described below .
in november 2015 , the company issued $ 600 million aggregate principal amount of unregistered 5.000% ( 5.000 % ) senior notes due november 2025 , the net proceeds of which were used to repurchase the company's 7.125% ( 7.125 % ) senior notes due in 2021 in connection with the 2015 tender offer and redemption described below .
interest on the company's senior notes is payable semi-annually .
the terms of the 5.000% ( 5.000 % ) and 3.483% ( 3.483 % ) senior notes limit the company 2019s ability and the ability of certain of its subsidiaries to create liens , enter into sale and leaseback transactions , sell assets , and effect consolidations or mergers .
the company had unamortized debt issuance costs associated with the senior notes of $ 15 million and $ 19 million as of december 31 , 2017 and 2016 , respectively. .

Allowed operations:
add, subtract, multiply, divide, greater, exp, table_max, table_min, table_sum, table_average

Return JSON only in this form:
{"program_tokens": ["divide(", "9413", "20.01", ")", "EOF"]}


[System] You are solving numerical reasoning over financial reports. Use only the provided question, pre-table text, table, and post-table text. Return ONLY a JSON object with exactly one key: "program_tokens". The value must be a list of FinQA DSL program tokens ending with "EOF". Do not return the final answer directly and do not include extra text.

[User]
Question:
what is the percent change in annual long-term debt maturities from 2018 to 2019?

Pre-table text:
entergy corporation and subsidiaries notes to financial statements ( a ) consists of pollution control revenue bonds and environmental revenue bonds , some of which are secured by collateral first mortgage bonds .
( b ) these notes do not have a stated interest rate , but have an implicit interest rate of 4.8% ( 4.8 % ) .
( c ) pursuant to the nuclear waste policy act of 1982 , entergy 2019s nuclear owner/licensee subsidiaries have contracts with the doe for spent nuclear fuel disposal service .
the contracts include a one-time fee for generation prior to april 7 , 1983 .
entergy arkansas is the only entergy company that generated electric power with nuclear fuel prior to that date and includes the one-time fee , plus accrued interest , in long-term debt .
( d ) see note 10 to the financial statements for further discussion of the waterford 3 and grand gulf lease obligations .
( e ) the fair value excludes lease obligations of $ 109 million at entergy louisiana and $ 34 million at system energy , long-term doe obligations of $ 181 million at entergy arkansas , and the note payable to nypa of $ 35 million at entergy , and includes debt due within one year .
fair values are classified as level 2 in the fair value hierarchy discussed in note 16 to the financial statements and are based on prices derived from inputs such as benchmark yields and reported trades .
the annual long-term debt maturities ( excluding lease obligations and long-term doe obligations ) for debt outstanding as of december 31 , 2015 , for the next five years are as follows : amount ( in thousands ) .

Table:
	amount ( in thousands )
2016	$ 204079
2017	$ 766451
2018	$ 822690
2019	$ 768588
2020	$ 1631181

Post-table text:
in november 2000 , entergy 2019s non-utility nuclear business purchased the fitzpatrick and indian point 3 power plants in a seller-financed transaction .
entergy issued notes to nypa with seven annual installments of approximately $ 108 million commencing one year from the date of the closing , and eight annual installments of $ 20 million commencing eight years from the date of the closing .
these notes do not have a stated interest rate , but have an implicit interest rate of 4.8% ( 4.8 % ) .
in accordance with the purchase agreement with nypa , the purchase of indian point 2 in 2001 resulted in entergy becoming liable to nypa for an additional $ 10 million per year for 10 years , beginning in september 2003 .
this liability was recorded upon the purchase of indian point 2 in september 2001 .
as part of the purchase agreement with nypa , entergy recorded a liability representing the net present value of the payments entergy would be liable to nypa for each year that the fitzpatrick and indian point 3 power plants would run beyond their respective original nrc license expiration date .
with the planned shutdown of fitzpatrick at the end of its current fuel cycle , entergy reduced this liability by $ 26.4 million in 2015 pursuant to the terms of the purchase agreement .
under a provision in a letter of credit supporting these notes , if certain of the utility operating companies or system energy were to default on other indebtedness , entergy could be required to post collateral to support the letter of credit .
entergy louisiana , entergy mississippi , entergy texas , and system energy have obtained long-term financing authorizations from the ferc that extend through october 2017 .
entergy arkansas has obtained long-term financing authorization from the apsc that extends through december 2018 .
entergy new orleans has obtained long-term financing authorization from the city council that extends through july 2016 .
capital funds agreement pursuant to an agreement with certain creditors , entergy corporation has agreed to supply system energy with sufficient capital to: .

Allowed operations:
add, subtract, multiply, divide, greater, exp, table_max, table_min, table_sum, table_average

Return JSON only in this form:
{"program_tokens": ["divide(", "9413", "20.01", ")", "EOF"]}


[System] You are solving numerical reasoning over financial reports. Use only the provided question, pre-table text, table, and post-table text. Return ONLY a JSON object with exactly one key: "program_tokens". The value must be a list of FinQA DSL program tokens ending with "EOF". Do not return the final answer directly and do not include extra text.

[User]
Question:
what percent of total operating income was emea in 2015?

Pre-table text:
2022 net revenues in our connected fitness operating segment increased $ 34.2 million to $ 53.4 million in 2015 from $ 19.2 million in 2014 primarily due to revenues generated from our two connected fitness acquisitions in 2015 and growth in our existing connected fitness business .
operating income ( loss ) by segment is summarized below: .

Table:
( in thousands )	year ended december 31 , 2015	year ended december 31 , 2014	year ended december 31 , $ change	year ended december 31 , % (  % ) change
north america	$ 460961	$ 372347	$ 88614	23.8% ( 23.8 % )
emea	3122	-11763 ( 11763 )	14885	126.5
asia-pacific	36358	21858	14500	66.3
latin america	-30593 ( 30593 )	-15423 ( 15423 )	-15170 ( 15170 )	-98.4 ( 98.4 )
connected fitness	-61301 ( 61301 )	-13064 ( 13064 )	-48237 ( 48237 )	-369.2 ( 369.2 )
total operating income	$ 408547	$ 353955	$ 54592	15.4% ( 15.4 % )

Post-table text:
the increase in total operating income was driven by the following : 2022 operating income in our north america operating segment increased $ 88.6 million to $ 461.0 million in 2015 from $ 372.4 million in 2014 primarily due to the items discussed above in the consolidated results of operations .
2022 operating income in our emea operating segment increased $ 14.9 million to $ 3.1 million in 2015 from a loss of $ 11.8 million in 2014 primarily due to sales growth discussed above in the consolidated results of operations .
2022 operating income in our asia-pacific operating segment increased $ 14.5 million to $ 36.4 million in 2015 from $ 21.9 million in 2014 primarily due to sales growth discussed above in the consolidated results of operations .
2022 operating loss in our latin america operating segment increased $ 15.2 million to $ 30.6 million in 2015 from $ 15.4 million in 2014 primarily due to increased investments to support growth in the region and the economic challenges in brazil during the period .
this increase in operating loss was offset by sales growth discussed above .
2022 operating loss in our connected fitness segment increased $ 48.2 million to $ 61.3 million in 2015 from $ 13.1 million in 2014 primarily due to investments to support growth in our connected fitness business , including the impact of our two connected fitness acquisitions in 2015 .
these acquisitions contributed $ 23.6 million to the operating loss for the connected fitness segment in 2015 .
seasonality historically , we have recognized a majority of our net revenues and a significant portion of our income from operations in the last two quarters of the year , driven primarily by increased sales volume of our products during the fall selling season , including our higher priced cold weather products , along with a larger proportion of higher margin direct to consumer sales .
seasonality could have an impact on the timing of accruals if the sales in the last two quarters of the year do not materialize .
the level of our working capital generally reflects the seasonality and growth in our business .
we generally expect inventory , accounts payable and certain accrued expenses to be higher in the second and third quarters in preparation for the fall selling season. .

Allowed operations:
add, subtract, multiply, divide, greater, exp, table_max, table_min, table_sum, table_average

Return JSON only in this form:
{"program_tokens": ["divide(", "9413", "20.01", ")", "EOF"]}


[System] You are solving numerical reasoning over financial reports. Use only the provided question, pre-table text, table, and post-table text. Return ONLY a JSON object with exactly one key: "program_tokens". The value must be a list of FinQA DSL program tokens ending with "EOF". Do not return the final answer directly and do not include extra text.

[User]
Question:
what is the total cash outflow for the repurchase of shares in the last three months of 2008?

Pre-table text:
repurchase of equity securities the following table provides information regarding our purchases of equity securities during the fourth quarter of 2008 : number of shares purchased average paid per share2 total number of shares purchased as part of publicly announced plans or programs maximum number of shares that may yet be purchased under the plans or programs .

Table:
	total number of shares purchased	average price paid per share2	total number of shares purchased as part of publicly announced plans or programs	maximum number ofshares that may yet be purchased under the plans or programs
october 1-31	29704	$ 5.99	2014	2014
november 1-30	4468	$ 3.24	2014	2014
december 1-31	12850	$ 3.98	2014	2014
total1	47022	$ 5.18	2014	2014

Post-table text:
total1 .
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47022 $ 5.18 2014 2014 1 consists of restricted shares of our common stock withheld under the terms of grants under employee stock compensation plans to offset tax withholding obligations that occurred upon vesting and release of restricted shares during each month of the fourth quarter of 2008 ( the 201cwithheld shares 201d ) .
2 the average price per month of the withheld shares was calculated by dividing the aggregate value of the tax withholding obligations for each month by the aggregate number of shares of our common stock withheld each month. .

Allowed operations:
add, subtract, multiply, divide, greater, exp, table_max, table_min, table_sum, table_average

Return JSON only in this form:
{"program_tokens": ["divide(", "9413", "20.01", ")", "EOF"]}


[System] You are solving numerical reasoning over financial reports. Use only the provided question, pre-table text, table, and post-table text. Return ONLY a JSON object with exactly one key: "program_tokens". The value must be a list of FinQA DSL program tokens ending with "EOF". Do not return the final answer directly and do not include extra text.

[User]
Question:
what was the total five year change in the nareit all equity index?

Pre-table text:
performance graph the following graph is a comparison of the five-year cumulative return of our common shares , the standard & poor 2019s 500 index ( the 201cs&p 500 index 201d ) and the national association of real estate investment trusts 2019 ( 201cnareit 201d ) all equity index , a peer group index .
the graph assumes that $ 100 was invested on december 31 , 2007 in our common shares , the s&p 500 index and the nareit all equity index and that all dividends were reinvested without the payment of any commissions .
there can be no assurance that the performance of our shares will continue in line with the same or similar trends depicted in the graph below. .

Table:
	2007	2008	2009	2010	2011	2012
vornado realty trust	$ 100	$ 72	$ 89	$ 110	$ 105	$ 114
s&p 500 index	100	63	80	92	94	109
the nareit all equity index	100	62	80	102	110	132

Post-table text:
.

Allowed operations:
add, subtract, multiply, divide, greater, exp, table_max, table_min, table_sum, table_average

Return JSON only in this form:
{"program_tokens": ["divide(", "9413", "20.01", ")", "EOF"]}


[System] You are solving numerical reasoning over financial reports. Use only the provided question, pre-table text, table, and post-table text. Return ONLY a JSON object with exactly one key: "program_tokens". The value must be a list of FinQA DSL program tokens ending with "EOF". Do not return the final answer directly and do not include extra text.

[User]
Question:
what was the ratio of the net income to the revenues in 2010

Pre-table text:
entergy texas , inc .
and subsidiaries management 2019s financial discussion and analysis plan to spin off the utility 2019s transmission business see the 201cplan to spin off the utility 2019s transmission business 201d section of entergy corporation and subsidiaries management 2019s financial discussion and analysis for a discussion of this matter , including the planned retirement of debt and preferred securities .
results of operations net income 2011 compared to 2010 net income increased by $ 14.6 million primarily due to higher net revenue , partially offset by higher taxes other than income taxes , higher other operation and maintenance expenses , and higher depreciation and amortization expenses .
2010 compared to 2009 net income increased by $ 2.4 million primarily due to higher net revenue and lower interest expense , partially offset by lower other income , higher taxes other than income taxes , and higher other operation and maintenance expenses .
net revenue 2011 compared to 2010 net revenue consists of operating revenues net of : 1 ) fuel , fuel-related expenses , and gas purchased for resale , 2 ) purchased power expenses , and 3 ) other regulatory charges ( credits ) .
following is an analysis of the change in net revenue comparing 2011 to 2010 .
amount ( in millions ) .

Table:
	amount ( in millions )
2010 net revenue	$ 540.2
retail electric price	36.0
volume/weather	21.3
purchased power capacity	-24.6 ( 24.6 )
other	4.9
2011 net revenue	$ 577.8

Post-table text:
the retail electric price variance is primarily due to rate actions , including an annual base rate increase of $ 59 million beginning august 2010 , with an additional increase of $ 9 million beginning may 2011 , as a result of the settlement of the december 2009 rate case .
see note 2 to the financial statements for further discussion of the rate case settlement .
the volume/weather variance is primarily due to an increase of 721 gwh , or 4.5% ( 4.5 % ) , in billed electricity usage , including the effect of more favorable weather on residential and commercial sales compared to last year .
usage in the industrial sector increased 8.2% ( 8.2 % ) primarily in the chemicals and refining industries .
the purchased power capacity variance is primarily due to price increases for ongoing purchased power capacity and additional capacity purchases. .

Allowed operations:
add, subtract, multiply, divide, greater, exp, table_max, table_min, table_sum, table_average

Return JSON only in this form:
{"program_tokens": ["divide(", "9413", "20.01", ")", "EOF"]}


[System] You are solving numerical reasoning over financial reports. Use only the provided question, pre-table text, table, and post-table text. Return ONLY a JSON object with exactly one key: "program_tokens". The value must be a list of FinQA DSL program tokens ending with "EOF". Do not return the final answer directly and do not include extra text.

[User]
Question:
what was the average investment income ( loss ) net 2013 to 2015

Pre-table text:
consolidated other income ( expense ) items , net .

Table:
year ended december 31 ( in millions )	2015	2014	2013
interest expense	$ -2702 ( 2702 )	$ -2617 ( 2617 )	$ -2574 ( 2574 )
investment income ( loss ) net	81	296	576
equity in net income ( losses ) of investees net	-325 ( 325 )	97	-86 ( 86 )
other income ( expense ) net	320	-215 ( 215 )	-364 ( 364 )
total	$ -2626 ( 2626 )	$ -2439 ( 2439 )	$ -2448 ( 2448 )

Post-table text:
interest expense interest expense increased in 2015 primarily due to an increase in our debt outstanding and $ 47 million of additional interest expense associated with the early redemption in june 2015 of our $ 750 million aggregate principal amount of 5.85% ( 5.85 % ) senior notes due november 2015 and our $ 1.0 billion aggregate principal amount of 5.90% ( 5.90 % ) senior notes due march 2016 .
interest expense increased in 2014 primarily due to the effect of our interest rate derivative financial instruments .
investment income ( loss ) , net the change in investment income ( loss ) , net in 2015 was primarily due to a $ 154 million gain related to the sale of our shares of arris group common stock in 2014 .
the change in investment income ( loss ) , net in 2014 was primarily due to a $ 443 million gain related to the sale of our investment in clearwire corporation in 2013 .
the components of investment income ( loss ) , net are presented in a table in note 7 to comcast 2019s consolidated financial statements .
equity in net income ( losses ) of investees , net the change in equity in net income ( losses ) of investees , net in 2015 was primarily due to twcc holding corp .
( 201cthe weather channel 201d ) recording impairment charges related to goodwill .
we recorded expenses of $ 333 million in 2015 that represent nbcuniversal 2019s proportionate share of these impairment charges .
the change in 2015 was also due to an increase in our proportionate share of losses in hulu , llc ( 201chulu 201d ) , which were driven by hulu 2019s higher programming and marketing costs .
in 2015 and 2014 , we recognized our pro- portionate share of losses of $ 106 million and $ 20 million , respectively , related to our investment in hulu .
the change in equity in net income ( losses ) of investees , net in 2014 was primarily due to $ 142 million of total equity losses recorded in 2013 attributable to our investment in hulu .
in july 2013 , we entered into an agreement to provide capital contributions totaling $ 247 million to hulu , which we had previously accounted for as a cost method investment .
this represented an agreement to provide our first capital contribution to hulu since we acquired our interest in it as part of our acquisition of a controlling interest in nbcuniversal in 2011 ( the 201cnbcuniversal transaction 201d ) ; therefore , we began to apply the equity method of accounting for this investment .
the change in the method of accounting for this investment required us to recognize our propor- tionate share of hulu 2019s accumulated losses from the date of the nbcuniversal transaction through july 2013 .
other income ( expense ) , net other income ( expense ) , net for 2015 included gains of $ 335 million on the sales of a business and an invest- ment , $ 240 million recorded on the settlement of a contingent consideration liability with general electric company ( 201cge 201d ) related to the acquisition of nbcuniversal , and $ 43 million related to an equity method investment .
these gains were partially offset by $ 236 million of expenses related to fair value adjustments to a contractual obligation .
see note 11 to comcast 2019s consolidated financial statements for additional information on this contractual obligation .
other income ( expense ) , net for 2014 included a $ 27 million favorable settlement of a contingency related to the at&t broadband transaction in 2002 , which was more than offset by $ 208 million of expenses related to 61 comcast 2015 annual report on form 10-k .

Allowed operations:
add, subtract, multiply, divide, greater, exp, table_max, table_min, table_sum, table_average

Return JSON only in this form:
{"program_tokens": ["divide(", "9413", "20.01", ")", "EOF"]}


[System] You are solving numerical reasoning over financial reports. Use only the provided question, pre-table text, table, and post-table text. Return ONLY a JSON object with exactly one key: "program_tokens". The value must be a list of FinQA DSL program tokens ending with "EOF". Do not return the final answer directly and do not include extra text.

[User]
Question:
what was the change in net sales in millions in 2007 in billions

Pre-table text:
tissue pulp due to strong market demand , partic- ularly from asia .
average sales price realizations improved significantly in 2007 , principally reflecting higher average prices for softwood , hardwood and fluff pulp .
operating earnings in 2007 were $ 104 mil- lion compared with $ 48 million in 2006 and $ 37 mil- lion in 2005 .
the benefits from higher sales price realizations were partially offset by increased input costs for energy , chemicals and freight .
entering the first quarter of 2008 , demand for market pulp remains strong , and average sales price realiza- tions should increase slightly .
however , input costs for energy , chemicals and freight are expected to be higher , and increased spending is anticipated for planned mill maintenance outages .
industrial packaging demand for industrial packaging products is closely correlated with non-durable industrial goods pro- duction , as well as with demand for processed foods , poultry , meat and agricultural products .
in addition to prices and volumes , major factors affecting the profitability of industrial packaging are raw material and energy costs , freight costs , manufacturing effi- ciency and product mix .
industrial packaging net sales for 2007 increased 6% ( 6 % ) to $ 5.2 billion compared with $ 4.9 bil- lion in 2006 , and 13% ( 13 % ) compared with $ 4.6 billion in 2005 .
operating profits in 2007 were 26% ( 26 % ) higher than in 2006 and more than double 2005 earnings .
bene- fits from improved price realizations ( $ 147 million ) , sales volume increases net of increased lack of order downtime ( $ 3 million ) , a more favorable mix ( $ 31 million ) , strong mill and converting operations ( $ 33 million ) and other costs ( $ 47 million ) were partially offset by the effects of higher raw material costs ( $ 76 million ) and higher freight costs ( $ 18 million ) .
in addition , a gain of $ 13 million was recognized in 2006 related to a sale of property in spain and costs of $ 52 million were incurred in 2007 related to the conversion of the paper machine at pensacola to production of lightweight linerboard .
the segment took 165000 tons of downtime in 2007 which included 16000 tons of market-related downtime compared with 135000 tons of downtime in 2006 of which none was market-related .
industrial packaging in millions 2007 2006 2005 .

Table:
in millions	2007	2006	2005
sales	$ 5245	$ 4925	$ 4625
operating profit	$ 501	$ 399	$ 219

Post-table text:
north american industrial packaging net sales for 2007 were $ 3.9 billion , compared with $ 3.7 billion in 2006 and $ 3.6 billion in 2005 .
operating profits in 2007 were $ 407 million , up from $ 327 mil- lion in 2006 and $ 170 million in 2005 .
containerboard shipments were higher in 2007 compared with 2006 , including production from the paper machine at pensacola that was converted to lightweight linerboard during 2007 .
average sales price realizations were significantly higher than in 2006 reflecting price increases announced early in 2006 and in the third quarter of 2007 .
margins improved reflecting stronger export demand .
manu- facturing performance was strong , although costs associated with planned mill maintenance outages were higher due to timing of outages .
raw material costs for wood , energy , chemicals and recycled fiber increased significantly .
operating results for 2007 were also unfavorably impacted by $ 52 million of costs associated with the conversion and startup of the pensacola paper machine .
u.s .
converting sales volumes were slightly lower in 2007 compared with 2006 reflecting softer customer box demand .
earnings improvement in 2007 bene- fited from the realization of box price increases announced in early 2006 and late 2007 .
favorable manufacturing operations and higher sales prices for waste fiber more than offset significantly higher raw material and freight costs .
looking ahead to the first quarter of 2008 , sales volumes are expected to increase slightly , and results should benefit from a full-quarter impact of the price increases announced in the third quarter of 2007 .
however , additional mill maintenance outages are planned for the first quarter , and freight and input costs are expected to rise , particularly for wood and energy .
manufacturing operations should be favorable compared with the fourth quarter .
european industrial packaging net sales for 2007 were $ 1.1 billion , up from $ 1.0 billion in 2006 and $ 880 million in 2005 .
sales volumes were about flat as early stronger demand in the industrial segment weakened in the second half of the year .
operating profits in 2007 were $ 88 million compared with $ 69 million in 2006 and $ 53 million in 2005 .
sales margins improved reflecting increased sales prices for boxes .
conversion costs were favorable as the result of manufacturing improvement programs .
entering the first quarter of 2008 , sales volumes should be strong seasonally across all regions as the winter fruit and vegetable season continues .
profit margins , however , are expected to be somewhat lower. .

Allowed operations:
add, subtract, multiply, divide, greater, exp, table_max, table_min, table_sum, table_average

Return JSON only in this form:
{"program_tokens": ["divide(", "9413", "20.01", ")", "EOF"]}


[System] You are solving numerical reasoning over financial reports. Use only the provided question, pre-table text, table, and post-table text. Return ONLY a JSON object with exactly one key: "program_tokens". The value must be a list of FinQA DSL program tokens ending with "EOF". Do not return the final answer directly and do not include extra text.

[User]
Question:
what was the percentage change in fuel surcharge program freight revenue from 2012 to 2013?

Pre-table text:
results of operations operating revenues millions 2014 2013 2012 % (  % ) change 2014 v 2013 % (  % ) change 2013 v 2012 .

Table:
millions	2014	2013	2012	% (  % ) change 2014 v 2013	% (  % ) change 2013 v 2012
freight revenues	$ 22560	$ 20684	$ 19686	9% ( 9 % )	5% ( 5 % )
other revenues	1428	1279	1240	12% ( 12 % )	3% ( 3 % )
total	$ 23988	$ 21963	$ 20926	9% ( 9 % )	5% ( 5 % )

Post-table text:
we generate freight revenues by transporting freight or other materials from our six commodity groups .
freight revenues vary with volume ( carloads ) and average revenue per car ( arc ) .
changes in price , traffic mix and fuel surcharges drive arc .
we provide some of our customers with contractual incentives for meeting or exceeding specified cumulative volumes or shipping to and from specific locations , which we record as reductions to freight revenues based on the actual or projected future shipments .
we recognize freight revenues as shipments move from origin to destination .
we allocate freight revenues between reporting periods based on the relative transit time in each reporting period and recognize expenses as we incur them .
other revenues include revenues earned by our subsidiaries , revenues from our commuter rail operations , and accessorial revenues , which we earn when customers retain equipment owned or controlled by us or when we perform additional services such as switching or storage .
we recognize other revenues as we perform services or meet contractual obligations .
freight revenues from all six commodity groups increased during 2014 compared to 2013 driven by 7% ( 7 % ) volume growth and core pricing gains of 2.5% ( 2.5 % ) .
volume growth from grain , frac sand , rock , and intermodal ( domestic and international ) shipments offset declines in crude oil .
freight revenues from five of our six commodity groups increased during 2013 compared to 2012 .
revenue from agricultural products was down slightly compared to 2012 .
arc increased 5% ( 5 % ) , driven by core pricing gains , shifts in business mix and an automotive logistics management arrangement .
volume essentially was flat year over year as growth in automotive , frac sand , crude oil and domestic intermodal offset declines in coal , international intermodal and grain shipments .
our fuel surcharge programs generated freight revenues of $ 2.8 billion , $ 2.6 billion , and $ 2.6 billion in 2014 , 2013 , and 2012 , respectively .
fuel surcharge in 2014 increased 6% ( 6 % ) driven by our 7% ( 7 % ) carloadings increase .
fuel surcharge in 2013 essentially was flat versus 2012 as lower fuel price offset improved fuel recovery provisions and the lag effect of our programs ( surcharges trail fluctuations in fuel price by approximately two months ) .
in 2014 , other revenue increased from 2013 due to higher revenues at our subsidiaries , primarily those that broker intermodal and automotive services , accessorial revenue driven by increased volume and per diem revenue for container usage ( previously included in automotive freight revenue ) .
in 2013 , other revenue increased from 2012 due primarily to miscellaneous contract revenue and higher revenues at our subsidiaries that broker intermodal and automotive services. .

Allowed operations:
add, subtract, multiply, divide, greater, exp, table_max, table_min, table_sum, table_average

Return JSON only in this form:
{"program_tokens": ["divide(", "9413", "20.01", ")", "EOF"]}


[System] You are solving numerical reasoning over financial reports. Use only the provided question, pre-table text, table, and post-table text. Return ONLY a JSON object with exactly one key: "program_tokens". The value must be a list of FinQA DSL program tokens ending with "EOF". Do not return the final answer directly and do not include extra text.

[User]
Question:
what was the percentage change in cash capital investments in track from 2004 to 2005?

Pre-table text:
the table below details cash capital investments for the years ended december 31 , 2006 , 2005 , and 2004 .
millions of dollars 2006 2005 2004 .

Table:
millions of dollars	2006	2005	2004
track	$ 1487	$ 1472	$ 1328
capacity and commercial facilities	510	509	347
locomotives and freight cars	135	98	125
other	110	90	76
total	$ 2242	$ 2169	$ 1876

Post-table text:
in 2007 , we expect our total capital investments to be approximately $ 3.2 billion , which may include long- term leases .
these investments will be used to maintain track and structures , continue capacity expansions on our main lines in constrained corridors , remove bottlenecks , upgrade and augment equipment to better meet customer needs , build and improve facilities and terminals , and develop and implement new technologies .
we designed these investments to maintain infrastructure for safety , enhance customer service , promote growth , and improve operational fluidity .
we expect to fund our 2007 cash capital investments through cash generated from operations , the sale or lease of various operating and non-operating properties , and cash on hand at december 31 , 2006 .
we expect that these sources will continue to provide sufficient funds to meet our expected capital requirements for 2007 .
for the years ended december 31 , 2006 , 2005 , and 2004 , our ratio of earnings to fixed charges was 4.4 , 2.9 , and 2.1 , respectively .
the increases in 2006 and 2005 were driven by higher net income .
the ratio of earnings to fixed charges was computed on a consolidated basis .
earnings represent income from continuing operations , less equity earnings net of distributions , plus fixed charges and income taxes .
fixed charges represent interest charges , amortization of debt discount , and the estimated amount representing the interest portion of rental charges .
see exhibit 12 for the calculation of the ratio of earnings to fixed charges .
financing activities credit facilities 2013 on december 31 , 2006 , we had $ 2 billion in revolving credit facilities available , including $ 1 billion under a five-year facility expiring in march 2009 and $ 1 billion under a five-year facility expiring in march 2010 ( collectively , the "facilities" ) .
the facilities are designated for general corporate purposes and support the issuance of commercial paper .
neither of the facilities were drawn on in 2006 .
commitment fees and interest rates payable under the facilities are similar to fees and rates available to comparably rated investment-grade borrowers .
these facilities allow for borrowings at floating rates based on london interbank offered rates , plus a spread , depending upon our senior unsecured debt ratings .
the facilities require the maintenance of a minimum net worth and a debt to net worth coverage ratio .
at december 31 , 2006 , we were in compliance with these covenants .
the facilities do not include any other financial restrictions , credit rating triggers ( other than rating-dependent pricing ) , or any other provision that could require the posting of collateral .
in addition to our revolving credit facilities , we had $ 150 million in uncommitted lines of credit available , including $ 75 million that expires in march 2007 and $ 75 million expiring in may 2007 .
neither of these lines of credit were used as of december 31 , 2006 .
we must have equivalent credit available under our five-year facilities to draw on these $ 75 million lines .
dividends 2013 on january 30 , 2007 , we increased the quarterly dividend to $ 0.35 per share , payable beginning on april 2 , 2007 , to shareholders of record on february 28 , 2007 .
we expect to fund the increase in the quarterly dividend through cash generated from operations , the sale or lease of various operating and non-operating properties , and cash on hand at december 31 , 2006 .
dividend restrictions 2013 we are subject to certain restrictions related to the payment of cash dividends to our shareholders due to minimum net worth requirements under our credit facilities .
retained earnings available .

Allowed operations:
add, subtract, multiply, divide, greater, exp, table_max, table_min, table_sum, table_average

Return JSON only in this form:
{"program_tokens": ["divide(", "9413", "20.01", ")", "EOF"]}


[System] You are solving numerical reasoning over financial reports. Use only the provided question, pre-table text, table, and post-table text. Return ONLY a JSON object with exactly one key: "program_tokens". The value must be a list of FinQA DSL program tokens ending with "EOF". Do not return the final answer directly and do not include extra text.

[User]
Question:
what was the percentage change in cash provided by operating activities from 2012 to 2013?

Pre-table text:
we have adequate access to capital markets to meet any foreseeable cash requirements , and we have sufficient financial capacity to satisfy our current liabilities .
cash flows millions 2014 2013 2012 .

Table:
cash flowsmillions	2014	2013	2012
cash provided by operating activities	$ 7385	$ 6823	$ 6161
cash used in investing activities	-4249 ( 4249 )	-3405 ( 3405 )	-3633 ( 3633 )
cash used in financing activities	-2982 ( 2982 )	-3049 ( 3049 )	-2682 ( 2682 )
net change in cash and cashequivalents	$ 154	$ 369	$ -154 ( 154 )

Post-table text:
operating activities higher net income in 2014 increased cash provided by operating activities compared to 2013 , despite higher income tax payments .
2014 income tax payments were higher than 2013 primarily due to higher income , but also because we paid taxes previously deferred by bonus depreciation ( discussed below ) .
higher net income in 2013 increased cash provided by operating activities compared to 2012 .
in addition , we made payments in 2012 for past wages as a result of national labor negotiations , which reduced cash provided by operating activities in 2012 .
lower tax benefits from bonus depreciation ( as discussed below ) partially offset the increases .
federal tax law provided for 100% ( 100 % ) bonus depreciation for qualified investments made during 2011 and 50% ( 50 % ) bonus depreciation for qualified investments made during 2012-2013 .
as a result , the company deferred a substantial portion of its 2011-2013 income tax expense , contributing to the positive operating cash flow in those years .
congress extended 50% ( 50 % ) bonus depreciation for 2014 , but this extension occurred in december and did not have a significant benefit on our income tax payments during 2014 .
investing activities higher capital investments , including the early buyout of the long-term operating lease of our headquarters building for approximately $ 261 million , drove the increase in cash used in investing activities compared to 2013 .
significant investments also were made for new locomotives , freight cars and containers , and capacity and commercial facility projects .
capital investments in 2014 also included $ 99 million for the early buyout of locomotives and freight cars under long-term operating leases , which we exercised due to favorable economic terms and market conditions .
lower capital investments in locomotives and freight cars in 2013 drove the decrease in cash used in investing activities compared to 2012 .
included in capital investments in 2012 was $ 75 million for the early buyout of 165 locomotives under long-term operating and capital leases during the first quarter of 2012 , which we exercised due to favorable economic terms and market conditions. .

Allowed operations:
add, subtract, multiply, divide, greater, exp, table_max, table_min, table_sum, table_average

Return JSON only in this form:
{"program_tokens": ["divide(", "9413", "20.01", ")", "EOF"]}


[System] You are solving numerical reasoning over financial reports. Use only the provided question, pre-table text, table, and post-table text. Return ONLY a JSON object with exactly one key: "program_tokens". The value must be a list of FinQA DSL program tokens ending with "EOF". Do not return the final answer directly and do not include extra text.

[User]
Question:
what portion of contractual obligations is expected to be paid within 12 months?

Pre-table text:
purchases of short-term marketable securities , net of sales of short-term marketable securities during the quarter .
additionally , we incurred $ 3.8 million related to cash expenditures for property and equipment primarily on computer software projects and manufacturing equipment related to our expansion in ireland .
our financing activities during the year ended march 31 , 2009 provided cash of $ 46.2 million as compared to $ 2.1 million during the same period in the prior year .
cash provided by financing activities for the year ended march 31 , 2009 was primarily comprised of $ 42.0 million in net proceeds related to our august 2008 public offering and $ 5.0 million attributable to the exercise of stock options and proceeds from our employee stock purchase plan .
capital expenditures for fiscal 2010 are estimated to be $ 2.5 to $ 3.0 million , which relate primarily to our planned manufacturing capacity increases for impella in germany , our expansion in ireland , and software development projects .
our liquidity is influenced by our ability to sell our products in a competitive industry and our customers 2019 ability to pay for our products .
factors that may affect liquidity include our ability to penetrate the market for our products , maintain or reduce the length of the selling cycle , and collect cash from clients after our products are sold .
exclusive of activities involving any future acquisitions of products or companies that complement or augment our existing line of products , we believe that current available funds and cash generated from operations will provide sufficient liquidity to meet operating requirements for the foreseeable future .
we believe that our existing cash balances and cash flow from operations will be sufficient to meet our projected capital expenditures , working capital , and other cash requirements at least through the next 12 months .
we continue to review our long-term cash needs on a regular basis .
currently , we have no debt outstanding .
contractual obligations and commercial commitments the following table summarizes our contractual obligations at march 31 , 2009 and the effects such obligations are expected to have on our liquidity and cash flows in future periods .
payments due by fiscal year ( in $ 000 2019s ) contractual obligations total than 1 than 5 .

Table:
contractual obligations	payments due by fiscal year ( in $ 000 2019s ) total	payments due by fiscal year ( in $ 000 2019s ) less than 1 year	payments due by fiscal year ( in $ 000 2019s ) 1-3 years	payments due by fiscal year ( in $ 000 2019s ) 3-5 years	payments due by fiscal year ( in $ 000 2019s ) more than 5 years
operating lease commitments	$ 10690	$ 2313	$ 4267	$ 2592	$ 1518
contractual obligations ( 1 )	9457	4619	4838	2014	2014
total obligations	$ 20147	$ 6932	$ 9105	$ 2592	$ 1518

Post-table text:
( 1 ) contractual obligations represent future cash commitments and expected liabilities under agreements with third parties for clinical trials .
we have no long-term debt , capital leases or other material commitments for open purchase orders and clinical trial agreements at march 31 , 2009 other than those shown in the table above .
in may 2005 , we acquired all the shares of outstanding capital stock of impella cardiosystems ag , a company headquartered in aachen , germany .
the aggregate purchase price excluding contingent payments , was approximately $ 45.1 million , which consisted of $ 42.2 million of our common stock , $ 1.6 million of cash paid to certain former shareholders of impella and $ 1.3 million of transaction costs , consisting primarily of fees paid for financial advisory and legal services .
at the time of the transaction , we agreed to make additional contingent payments to impella 2019s former shareholders based on additional milestone payments related to product sales and fda approvals in the amount of up to $ 16.8 million .
in january 2007 upon the sale of 1000 impella units , we paid $ 5.6 million in the form of common stock .
in june 2008 we received 510 ( k ) clearance of our impella 2.5 , and we paid $ 5.6 million in the form of common stock .
in april 2009 , we received 501 ( k ) clearance of our impella 5.0 , triggering an obligation to make the final$ 5.6 million milestone payment .
on may 15 , 2009 , we paid $ 1.75 million of this final milestone in cash and elected to pay the remaining amount through the issuance of approximately 664612 shares of our common stock .
this contingent payment will result in an increase to the carrying value of goodwill .
in june 2008 , we amended the lease for our facility in danvers , massachusetts .
the amendment extended the lease from february 28 , 2010 to february 28 , 2016 .
the lease continues to be accounted for as an operating lease .
the amendment changed the rent payments under the lease from $ 64350 per month to the following schedule : 2022 the base rent for july 2008 through october 2008 was $ 0 per month ; 2022 the base rent for november 2008 through june 2010 is $ 40000 per month ; 2022 the base rent for july 2010 through february 2014 will be $ 64350 per month ; and 2022 the base rent for march 2014 through february 2016 will be $ 66000 per month. .

Allowed operations:
add, subtract, multiply, divide, greater, exp, table_max, table_min, table_sum, table_average

Return JSON only in this form:
{"program_tokens": ["divide(", "9413", "20.01", ")", "EOF"]}


[System] You are solving numerical reasoning over financial reports. Use only the provided question, pre-table text, table, and post-table text. Return ONLY a JSON object with exactly one key: "program_tokens". The value must be a list of FinQA DSL program tokens ending with "EOF". Do not return the final answer directly and do not include extra text.

[User]
Question:
what portion of the maximum exposure to loss from vies is related to guarantees in 2018?

Pre-table text:
64 | 2017 form 10-k notes to consolidated financial statements 1 .
operations and summary of significant accounting policies a .
nature of operations information in our financial statements and related commentary are presented in the following categories : machinery , energy & transportation ( me&t ) 2013 represents the aggregate total of construction industries , resource industries , energy & transportation and all other operating segments and related corporate items and eliminations .
financial products 2013 primarily includes the company 2019s financial products segment .
this category includes caterpillar financial services corporation ( cat financial ) , caterpillar insurance holdings inc .
( insurance services ) and their respective subsidiaries .
our products are sold primarily under the brands 201ccaterpillar , 201d 201ccat , 201d design versions of 201ccat 201d and 201ccaterpillar , 201d 201cemd , 201d 201cfg wilson , 201d 201cmak , 201d 201cmwm , 201d 201cperkins , 201d 201cprogress rail , 201d 201csem 201d and 201csolar turbines 201d .
we conduct operations in our machinery , energy & transportation lines of business under highly competitive conditions , including intense price competition .
we place great emphasis on the high quality and performance of our products and our dealers 2019 service support .
although no one competitor is believed to produce all of the same types of equipment that we do , there are numerous companies , large and small , which compete with us in the sale of each of our products .
our machines are distributed principally through a worldwide organization of dealers ( dealer network ) , 48 located in the united states and 123 located outside the united states , serving 192 countries .
reciprocating engines are sold principally through the dealer network and to other manufacturers for use in products .
some of the reciprocating engines manufactured by our subsidiary perkins engines company limited , are also sold through its worldwide network of 93 distributors covering 182 countries .
the fg wilson branded electric power generation systems primarily manufactured by our subsidiary caterpillar northern ireland limited are sold through its worldwide network of 154 distributors covering 131 countries .
some of the large , medium speed reciprocating engines are also sold a0 under the mak brand through a worldwide network of 20 distributors covering 130 countries .
our dealers do not deal exclusively with our products ; however , in most cases sales and servicing of our products are the dealers 2019 principal business .
some products , primarily turbines and locomotives , are sold directly to end customers through sales forces employed by the company .
at times , these employees are assisted by independent sales representatives .
the financial products line of business also conducts operations under highly competitive conditions .
financing for users of caterpillar products is available through a variety of competitive sources , principally commercial banks and finance and leasing companies .
we offer various financing plans designed to increase the opportunity for sales of our products and generate financing income for our company .
a significant portion of financial products activity is conducted in north america , with additional offices in latin america , asia/pacific , europe , africa and middle east .
b .
basis of presentation the consolidated financial statements include the accounts of caterpillar a0 inc .
and its subsidiaries where we have a controlling financial interest .
investments in companies where our ownership exceeds 20 percent and we do not have a controlling interest or where the ownership is less than 20 percent and for which we have a significant influence are accounted for by the equity method .
see note 9 for further discussion .
we consolidate all variable interest entities ( vies ) where caterpillar inc .
is the primary beneficiary .
for vies , we assess whether we are the primary beneficiary as prescribed by the accounting guidance on the consolidation of vies .
the primary beneficiary of a vie is the party that has both the power to direct the activities that most significantly impact the entity 2019s economic performance and the obligation to absorb losses or the right to receive benefits that could potentially be significant to the vie .
see note 21 for further discussion on a consolidated vie .
we have affiliates , suppliers and dealers that are vies of which we are not the primary beneficiary .
although we have provided financial support , we do not have the power to direct the activities that most significantly impact the economic performance of each entity .
our maximum exposure to loss from vies for which we are not the primary beneficiary was as follows: .

Table:
( millions of dollars )	december 31 , 2017	december 31 , 2016
receivables - trade and other	$ 34	$ 55
receivables - finance	42	174
long-term receivables - finance	38	246
investments in unconsolidated affiliated companies	39	31
guarantees	259	210
total	$ 412	$ 716

Post-table text:
in addition , cat financial has end-user customers that are vies of which we are not the primary beneficiary .
although we have provided financial support to these entities and therefore have a variable interest , we do not have the power to direct the activities that most significantly impact their economic performance .
our maximum exposure to loss from our involvement with these vies is limited to the credit risk inherently present in the financial support that we have provided .
these risks are evaluated and reflected in our financial statements as part of our overall portfolio of finance receivables and related allowance for credit losses. .

Allowed operations:
add, subtract, multiply, divide, greater, exp, table_max, table_min, table_sum, table_average

Return JSON only in this form:
{"program_tokens": ["divide(", "9413", "20.01", ")", "EOF"]}


[System] You are solving numerical reasoning over financial reports. Use only the provided question, pre-table text, table, and post-table text. Return ONLY a JSON object with exactly one key: "program_tokens". The value must be a list of FinQA DSL program tokens ending with "EOF". Do not return the final answer directly and do not include extra text.

[User]
Question:
what was the average annual creation of new stores for aap from 2008 to 2012?

Pre-table text:
the following table sets forth information concerning increases in the total number of our aap stores during the past five years: .

Table:
	2012	2011	2010	2009	2008
beginning stores	3460	3369	3264	3243	3153
new stores ( 1 )	116	95	110	75	109
stores closed	2014	-4 ( 4 )	-5 ( 5 )	-54 ( 54 )	-19 ( 19 )
ending stores	3576	3460	3369	3264	3243

Post-table text:
( 1 ) does not include stores that opened as relocations of previously existing stores within the same general market area or substantial renovations of stores .
store technology .
our store-based information systems are comprised of a proprietary and integrated point of sale , electronic parts catalog , or epc , and store-level inventory management system ( collectively "store system" ) .
information maintained by our store system is used to formulate pricing , marketing and merchandising strategies and to replenish inventory accurately and rapidly .
our fully integrated system enables our store team members to assist our customers in their parts selection and ordering based on the year , make , model and engine type of their vehicles .
our store system provides real-time inventory tracking at the store level allowing store team members to check the quantity of on-hand inventory for any sku , adjust stock levels for select items for store specific events , automatically process returns and defective merchandise , designate skus for cycle counts and track merchandise transfers .
if a hard-to-find part or accessory is not available at one of our stores , the store system can determine whether the part is carried and in-stock through our hub or pdq ae networks or can be ordered directly from one of our vendors .
available parts and accessories are then ordered electronically from another store , hub , pdq ae or directly from the vendor with immediate confirmation of price , availability and estimated delivery time .
our centrally-based epc data management system enables us to reduce the time needed to ( i ) exchange data with our vendors and ( ii ) catalog and deliver updated , accurate parts information .
we also support our store operations with additional proprietary systems and customer driven labor scheduling capabilities .
all of these systems are tightly integrated and provide real-time , comprehensive information to store personnel , resulting in improved customer service levels , team member productivity and in-stock availability .
we plan to start rolling out a new and enhanced epc in fiscal 2013 which is expected to simplify and improve the customer experience .
among the improvements is a more efficient way to systematically identify add-on sales to ensure our customers have what they need to complete their automotive repair project .
store support center merchandising .
purchasing for virtually all of the merchandise for our stores is handled by our merchandise teams located in three primary locations : 2022 store support center in roanoke , virginia ; 2022 regional office in minneapolis , minnesota ; and 2022 global sourcing office in taipei , taiwan .
our roanoke team is primarily responsible for the parts categories and our minnesota team is primarily responsible for accessories , oil and chemicals .
our global sourcing team works closely with both teams .
in fiscal 2012 , we purchased merchandise from approximately 450 vendors , with no single vendor accounting for more than 9% ( 9 % ) of purchases .
our purchasing strategy involves negotiating agreements with most of our vendors to purchase merchandise over a specified period of time along with other terms , including pricing , payment terms and volume .
the merchandising team has developed strong vendor relationships in the industry and , in a collaborative effort with our vendor partners , utilizes a category management process where we manage the mix of our product offerings to meet customer demand .
we believe this process , which develops a customer-focused business plan for each merchandise category , and our global sourcing operation are critical to improving comparable store sales , gross margin and inventory productivity. .

Allowed operations:
add, subtract, multiply, divide, greater, exp, table_max, table_min, table_sum, table_average

Return JSON only in this form:
{"program_tokens": ["divide(", "9413", "20.01", ")", "EOF"]}