[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 of pretax income from discontinued operations to total revenues from discontinued operations?

Pre-table text:
marathon oil corporation notes to consolidated financial statements company , l.l.c .
and odyssey pipeline l.l.c. , as well as certain other oil pipeline interests , including the eugene island pipeline system .
the value of this transaction is approximately $ 205 million , net of debt assumed by the buyer .
the carrying value of these assets was $ 38 million as of december 31 , 2011 .
this transaction closed on january 3 , 2012 .
burns point gas plant 2013 during the fourth quarter of 2011 , we sold our e&p segment 2019s 50 percent interest in the burns point gas plant , a cryogenic processing plant located in st .
mary parish , louisiana , for total consideration of $ 36 million and a pretax gain of $ 34 million was booked .
alaska lng facility 2013 during the third quarter of 2011 , we sold our integrated gas segment 2019s equity interest in a lng processing facility in alaska and a pretax gain on the transaction of $ 8 million was recorded .
dj basin 2013 in april 2011 , we assigned a 30 percent undivided working interest in our e&p segment 2019s approximately 180000 acres in the niobrara shale play located within the dj basin of southeast wyoming and northern colorado for total consideration of $ 270 million , recording a pretax gain of $ 37 million .
we remain operator of this jointly owned leasehold .
angola 2013 during 2010 , we closed the sale of a 20 percent outside-operated interest in our e&p segment 2019s production sharing contract and joint operating agreement in block 32 offshore angola .
we received net proceeds of $ 1.3 billion and recorded a pretax gain on the sale of $ 811 million .
we retained a 10 percent outside-operated interest in block 32 .
gudrun 2013 in march 2011 , we closed the sale of our outside-operated interests in the gudrun field development and the brynhild and eirin exploration areas offshore norway for net proceeds of $ 85 million , excluding working capital adjustments .
a $ 64 million pretax loss on this disposition was recorded in the fourth quarter 2010 .
gabon 2013 in december 2009 , we closed the sale of our operated fields offshore gabon , receiving net proceeds of $ 269 million , after closing adjustments .
a $ 232 million pretax gain on this disposition was reported in discontinued operations for 2009 .
permian basin 2013 in june 2009 , we closed the sale of our e&p segment 2019s operated and a portion of our outside- operated permian basin producing assets in new mexico and west texas for net proceeds after closing adjustments of $ 293 million .
a $ 196 million pretax gain on the sale was recorded .
ireland 2013 in april 2009 , we closed the sale of our operated properties in ireland for net proceeds of $ 84 million , after adjusting for cash held by the sold subsidiary .
a $ 158 million pretax gain on the sale was recorded .
as a result of this sale , we terminated our pension plan in ireland , incurring a charge of $ 18 million .
in june 2009 , we entered into an agreement to sell the subsidiary holding our 19 percent outside-operated interest in the corrib natural gas development offshore ireland .
an initial $ 100 million payment was received at closing .
additional fixed proceeds of $ 135 million will be received at the earlier of first commercial gas or december 31 , 2012 .
a $ 154 million impairment was recognized in discontinued operations in the second quarter of 2009 .
our irish and our gabonese businesses , which had been reported in our e&p segment , have been reported as discontinued operations in the consolidated statements of income and the consolidated statements of cash flows .
revenues and pretax income related to these businesses are shown in the table below .
( in millions ) 2009 .

Table:
( in millions )	2009
revenues applicable to discontinued operations	$ 188
pretax income from discontinued operations	$ 80

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 is the increase in other regulatory credits as a percentage of net revenue in 2003?

Pre-table text:
entergy louisiana , inc .
management's financial discussion and analysis gross operating revenues , fuel and purchased power expenses , and other regulatory credits gross operating revenues increased primarily due to : 2022 an increase of $ 98.0 million in fuel cost recovery revenues due to higher fuel rates ; and 2022 an increase due to volume/weather , as discussed above .
the increase was partially offset by the following : 2022 a decrease of $ 31.9 million in the price applied to unbilled sales , as discussed above ; 2022 a decrease of $ 12.2 million in rate refund provisions , as discussed above ; and 2022 a decrease of $ 5.2 million in gross wholesale revenue due to decreased sales to affiliated systems .
fuel and purchased power expenses increased primarily due to : 2022 an increase in the recovery from customers of deferred fuel costs ; and 2022 an increase in the market price of natural gas .
other regulatory credits increased primarily due to : 2022 the deferral in 2004 of $ 14.3 million of capacity charges related to generation resource planning as allowed by the lpsc ; 2022 the amortization in 2003 of $ 11.8 million of deferred capacity charges , as discussed above ; and 2022 the deferral in 2004 of $ 11.4 million related to entergy's voluntary severance program , in accordance with a proposed stipulation with the lpsc staff .
2003 compared to 2002 net revenue , which is entergy louisiana's measure of gross margin , consists of operating revenues net of : 1 ) fuel , fuel-related , and purchased power expenses and 2 ) other regulatory charges ( credits ) .
following is an analysis of the change in net revenue comparing 2003 to 2002. .

Table:
	( in millions )
2002 net revenue	$ 922.9
deferred fuel cost revisions	59.1
asset retirement obligation	8.2
volume	-16.2 ( 16.2 )
vidalia settlement	-9.2 ( 9.2 )
other	8.9
2003 net revenue	$ 973.7

Post-table text:
the deferred fuel cost revisions variance resulted from a revised unbilled sales pricing estimate made in december 2002 and a further revision made in the first quarter of 2003 to more closely align the fuel component of that pricing with expected recoverable fuel costs .
the asset retirement obligation variance was due to the implementation of sfas 143 , "accounting for asset retirement obligations" adopted in january 2003 .
see "critical accounting estimates" for more details on sfas 143 .
the increase was offset by decommissioning expense and had no effect on net income .
the volume variance was due to a decrease in electricity usage in the service territory .
billed usage decreased 1868 gwh in the industrial sector including the loss of a large industrial customer to cogeneration. .

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 gain recognized on the commercial mortgages held for sale in 2009

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 is the expense which relates to the acceleration of equity awards upon termination of employment of baker hughes employees as a percentage of stock based compensation expense?

Pre-table text:
baker hughes , a ge company notes to consolidated and combined financial statements bhge 2017 form 10-k | 83 issuance pursuant to awards granted under the lti plan over its term which expires on the date of the annual meeting of the company in 2027 .
a total of 53.7 million shares of class a common stock are available for issuance as of december 31 , 2017 .
as a result of the acquisition of baker hughes , on july 3 , 2017 , each outstanding baker hughes stock option was converted into an option to purchase a share of class a common stock in the company .
consequently , we issued 6.8 million stock options which are fully vested .
each converted option is subject to the same terms and conditions as applied to the original option , and the per share exercise price of each converted option was reduced by $ 17.50 to reflect the per share amount of the special dividend pursuant to the agreement associated with the transactions .
additionally , as a result of the acquisition of baker hughes , there were 1.7 million baker hughes restricted stock units ( rsus ) that were converted to bhge rsus at a fair value of $ 40.18 .
stock-based compensation cost is measured at the date of grant based on the calculated fair value of the award and is generally recognized on a straight-line basis over the vesting period of the equity grant .
the compensation cost is determined based on awards ultimately expected to vest ; therefore , we have reduced the cost for estimated forfeitures based on historical forfeiture rates .
forfeitures are estimated at the time of grant and revised , if necessary , in subsequent periods to reflect actual forfeitures .
there were no stock-based compensation costs capitalized as the amounts were not material .
during the year ended december 31 , 2017 , we issued 2.1 million rsus and 1.6 million stock options under the lti plan .
these rsus and stock options generally vest in equal amounts over a three-year vesting period provided that the employee has remained continuously employed by the company through such vesting date .
stock based compensation expense was $ 37 million in 2017 .
included in this amount is $ 15 million of expense which relates to the acceleration of equity awards upon termination of employment of baker hughes employees with change in control agreements , and are included as part of "merger and related costs" in the consolidated and combined statements of income ( loss ) .
as bhge llc is a pass through entity , any tax benefit would be recognized by its partners .
due to its cumulative losses , bhge is unable to recognize a tax benefit on its share of stock related expenses .
stock options the fair value of each stock option granted is estimated using the black-scholes option pricing model .
the following table presents the weighted average assumptions used in the option pricing model for options granted under the lti plan .
the expected life of the options represents the period of time the options are expected to be outstanding .
the expected life is based on a simple average of the vesting term and original contractual term of the awards .
the expected volatility is based on the historical volatility of our five main competitors over a six year period .
the risk-free interest rate is based on the observed u.s .
treasury yield curve in effect at the time the options were granted .
the dividend yield is based on a five year history of dividend payouts in baker hughes. .

Table:
	2017
expected life ( years )	6
risk-free interest rate	2.1% ( 2.1 % )
volatility	36.4% ( 36.4 % )
dividend yield	1.2% ( 1.2 % )
weighted average fair value per share at grant date	$ 12.32

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:
for the quarter ended september 302010 what was the percentage change in the share price from the highest to the lowest

Pre-table text:
part ii item 5 .
market for registrant 2019s common equity , related stockholder matters and issuer purchases of equity securities the following table presents reported quarterly high and low per share sale prices of our common stock on the new york stock exchange ( 201cnyse 201d ) for the years 2010 and 2009. .

Table:
2010	high	low
quarter ended march 31	$ 44.61	$ 40.10
quarter ended june 30	45.33	38.86
quarter ended september 30	52.11	43.70
quarter ended december 31	53.14	49.61
2009	high	low
quarter ended march 31	$ 32.53	$ 25.45
quarter ended june 30	34.52	27.93
quarter ended september 30	37.71	29.89
quarter ended december 31	43.84	35.03

Post-table text:
on february 11 , 2011 , the closing price of our common stock was $ 56.73 per share as reported on the nyse .
as of february 11 , 2011 , we had 397612895 outstanding shares of common stock and 463 registered holders .
dividends we have not historically paid a dividend on our common stock .
payment of dividends in the future , when , as and if authorized by our board of directors , would depend upon many factors , including our earnings and financial condition , restrictions under applicable law and our current and future loan agreements , our debt service requirements , our capital expenditure requirements and other factors that our board of directors may deem relevant from time to time , including the potential determination to elect reit status .
in addition , the loan agreement for our revolving credit facility and term loan contain covenants that generally restrict our ability to pay dividends unless certain financial covenants are satisfied .
for more information about the restrictions under the loan agreement for the revolving credit facility and term loan , our notes indentures and the loan agreement related to our securitization , see item 7 of this annual report under the caption 201cmanagement 2019s discussion and analysis of financial condition and results of operations 2014liquidity and capital resources 2014factors affecting sources of liquidity 201d and note 6 to our consolidated financial statements included in this annual report. .

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 percentage of total other assets in 2012 was comprised of goodwill and identifiable intangible assets?

Pre-table text:
notes to consolidated financial statements note 12 .
other assets other assets are generally less liquid , non-financial assets .
the table below presents other assets by type. .

Table:
in millions	as of december 2012	as of december 2011
property leasehold improvements andequipment1	$ 8217	$ 8697
goodwill and identifiable intangibleassets2	5099	5468
income tax-related assets3	5620	5017
equity-method investments4	453	664
miscellaneous receivables and other5	20234	3306
total	$ 39623	$ 23152

Post-table text:
1 .
net of accumulated depreciation and amortization of $ 9.05 billion and $ 8.46 billion as of december 2012 and december 2011 , respectively .
2 .
includes $ 149 million of intangible assets classified as held for sale .
see note 13 for further information about goodwill and identifiable intangible assets .
3 .
see note 24 for further information about income taxes .
4 .
excludes investments accounted for at fair value under the fair value option where the firm would otherwise apply the equity method of accounting of $ 5.54 billion and $ 4.17 billion as of december 2012 and december 2011 , respectively , which are included in 201cfinancial instruments owned , at fair value . 201d the firm has generally elected the fair value option for such investments acquired after the fair value option became available .
5 .
includes $ 16.77 billion of assets related to the firm 2019s reinsurance business which were classified as held for sale as of december 2012 .
assets held for sale in the fourth quarter of 2012 , the firm classified its reinsurance business within its institutional client services segment as held for sale .
assets related to this business of $ 16.92 billion , consisting primarily of available-for-sale securities and separate account assets at fair value , are included in 201cother assets . 201d liabilities related to the business of $ 14.62 billion are included in 201cother liabilities and accrued expenses . 201d see note 8 for further information about insurance-related assets and liabilities held for sale at fair value .
the firm expects to complete the sale of a majority stake in its reinsurance business in 2013 and does not expect to recognize a material gain or loss upon the sale .
upon completion of the sale , the firm will no longer consolidate this business .
property , leasehold improvements and equipment property , leasehold improvements and equipment included $ 6.20 billion and $ 6.48 billion as of december 2012 and december 2011 , respectively , related to property , leasehold improvements and equipment that the firm uses in connection with its operations .
the remainder is held by investment entities , including vies , consolidated by the firm .
substantially all property and equipment are depreciated on a straight-line basis over the useful life of the asset .
leasehold improvements are amortized on a straight-line basis over the useful life of the improvement or the term of the lease , whichever is shorter .
certain costs of software developed or obtained for internal use are capitalized and amortized on a straight-line basis over the useful life of the software .
property , leasehold improvements and equipment are tested for impairment whenever events or changes in circumstances suggest that an asset 2019s or asset group 2019s carrying value may not be fully recoverable .
the firm 2019s policy for impairment testing of property , leasehold improvements and equipment is the same as is used for identifiable intangible assets with finite lives .
see note 13 for further information .
goldman sachs 2012 annual report 163 .

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:
did the five year total return on ball corporation outperform the dj containers & packaging index?

Pre-table text:
page 15 of 100 shareholder return performance the line graph below compares the annual percentage change in ball corporation 2019s cumulative total shareholder return on its common stock with the cumulative total return of the dow jones containers & packaging index and the s&p composite 500 stock index for the five-year period ended december 31 , 2010 .
it assumes $ 100 was invested on december 31 , 2005 , and that all dividends were reinvested .
the dow jones containers & packaging index total return has been weighted by market capitalization .
total return analysis .

Table:
	12/31/05	12/31/06	12/31/07	12/31/08	12/31/09	12/31/10
ball corporation	$ 100.00	$ 110.86	$ 115.36	$ 107.58	$ 134.96	$ 178.93
dj containers & packaging index	$ 100.00	$ 112.09	$ 119.63	$ 75.00	$ 105.34	$ 123.56
s&p 500 index	$ 100.00	$ 115.80	$ 122.16	$ 76.96	$ 97.33	$ 111.99
copyright a9 2011 standard & poor 2019s a division of the mcgraw-hill companies inc . all rights reserved . ( www.researchdatagroup.com/s&p.htm )	copyright a9 2011 standard & poor 2019s a division of the mcgraw-hill companies inc . all rights reserved . ( www.researchdatagroup.com/s&p.htm )	copyright a9 2011 standard & poor 2019s a division of the mcgraw-hill companies inc . all rights reserved . ( www.researchdatagroup.com/s&p.htm )	copyright a9 2011 standard & poor 2019s a division of the mcgraw-hill companies inc . all rights reserved . ( www.researchdatagroup.com/s&p.htm )	copyright a9 2011 standard & poor 2019s a division of the mcgraw-hill companies inc . all rights reserved . ( www.researchdatagroup.com/s&p.htm )	copyright a9 2011 standard & poor 2019s a division of the mcgraw-hill companies inc . all rights reserved . ( www.researchdatagroup.com/s&p.htm )	copyright a9 2011 standard & poor 2019s a division of the mcgraw-hill companies inc . all rights reserved . ( www.researchdatagroup.com/s&p.htm )
copyright a9 2011 dow jones & company . all rights reserved .	copyright a9 2011 dow jones & company . all rights reserved .	copyright a9 2011 dow jones & company . all rights reserved .	copyright a9 2011 dow jones & company . all rights reserved .	copyright a9 2011 dow jones & company . all rights reserved .	copyright a9 2011 dow jones & company . all rights reserved .	copyright a9 2011 dow jones & company . all rights reserved .

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 is the increase observed in the total revenue during 2010 and 2011?

Pre-table text:
aon has certain contractual contingent guarantees for premium payments owed by clients to certain insurance companies .
the maximum exposure with respect to such contractual contingent guarantees was approximately $ 48 million at december 31 , 2011 .
aon has provided commitments to fund certain limited partnerships in which it has an interest in the event that the general partners request funding .
some of these commitments have specific expiration dates and the maximum potential funding under these commitments was $ 64 million at december 31 , 2011 .
during 2011 , the company funded $ 15 million of these commitments .
aon expects that as prudent business interests dictate , additional guarantees and indemnifications may be issued from time to time .
17 .
related party transactions during 2011 , the company , in the ordinary course of business , provided retail brokerage , consulting and financial advisory services to , and received wholesale brokerage services from , an entity that is controlled by one of the company 2019s stockholders .
these transactions were negotiated at an arms-length basis and contain customary terms and conditions .
during 2011 , commissions and fee revenue from these transactions was approximately $ 9 million .
18 .
segment information the company has two reportable operating segments : risk solutions and hr solutions .
unallocated income and expenses , when combined with the operating segments and after the elimination of intersegment revenues and expenses , total to the amounts in the consolidated financial statements .
reportable operating segments have been determined using a management approach , which is consistent with the basis and manner in which aon 2019s chief operating decision maker ( 2018 2018codm 2019 2019 ) uses financial information for the purposes of allocating resources and assessing performance .
the codm assesses performance based on operating segment operating income and generally accounts for intersegment revenue as if the revenue were from third parties and at what management believes are current market prices .
the company does not present net assets by segment as this information is not reviewed by the codm .
risk solutions acts as an advisor and insurance and reinsurance broker , helping clients manage their risks , via consultation , as well as negotiation and placement of insurance risk with insurance carriers through aon 2019s global distribution network .
hr solutions partners with organizations to solve their most complex benefits , talent and related financial challenges , and improve business performance by designing , implementing , communicating and administering a wide range of human capital , retirement , investment management , health care , compensation and talent management strategies .
aon 2019s total revenue is as follows ( in millions ) : .

Table:
years ended december 31	2011	2010	2009
risk solutions	$ 6817	$ 6423	$ 6305
hr solutions	4501	2111	1267
intersegment elimination	-31 ( 31 )	-22 ( 22 )	-26 ( 26 )
total operating segments	11287	8512	7546
unallocated	2014	2014	49
total revenue	$ 11287	$ 8512	$ 7595

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 is the growth rate in net revenue in 2016 for entergy texas , inc.?

Pre-table text:
entergy texas , inc .
and subsidiaries management 2019s financial discussion and analysis results of operations net income 2016 compared to 2015 net income increased $ 37.9 million primarily due to lower other operation and maintenance expenses , the asset write-off of its receivable associated with the spindletop gas storage facility in 2015 , and higher net revenue .
2015 compared to 2014 net income decreased $ 5.2 million primarily due to the asset write-off of its receivable associated with the spindletop gas storage facility and higher other operation and maintenance expenses , partially offset by higher net revenue and a lower effective tax rate .
net revenue 2016 compared to 2015 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 .
following is an analysis of the change in net revenue comparing 2016 to 2015 .
amount ( in millions ) .

Table:
	amount ( in millions )
2015 net revenue	$ 637.2
reserve equalization	14.3
purchased power capacity	12.4
transmission revenue	7.0
retail electric price	5.4
net wholesale	-27.8 ( 27.8 )
other	-4.3 ( 4.3 )
2016 net revenue	$ 644.2

Post-table text:
the reserve equalization variance is primarily due to a reduction in reserve equalization expense primarily due to changes in the entergy system generation mix compared to the same period in 2015 as a result of the execution of a new purchased power agreement and entergy mississippi 2019s exit from the system agreement , each in november 2015 , and entergy texas 2019s exit from the system agreement in august 2016 .
see note 2 to the financial statements for a discussion of the system agreement .
the purchased power capacity variance is primarily due to decreased expenses due to the termination of the purchased power agreements between entergy louisiana and entergy texas in august 2016 , as well as capacity cost changes for ongoing purchased power capacity contracts .
the transmission revenue variance is primarily due to an increase in attachment o rates charged by miso to transmission customers and a settlement of attachment o rates previously billed to transmission customers by miso. .

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 net change in the number of staff in 2016?

Pre-table text:
the goldman sachs group , inc .
and subsidiaries management 2019s discussion and analysis non-interest revenues .
investment banking revenues in the consolidated statements of earnings were $ 7.03 billion for 2015 , 9% ( 9 % ) higher than 2014 , due to significantly higher revenues in financial advisory , reflecting strong client activity , particularly in the u.s .
industry-wide completed mergers and acquisitions increased significantly compared with the prior year .
revenues in underwriting were lower compared with a strong 2014 .
revenues in debt underwriting were lower compared with 2014 , reflecting significantly lower leveraged finance activity .
revenues in equity underwriting were also lower , reflecting significantly lower revenues from initial public offerings and convertible offerings , partially offset by significantly higher revenues from secondary offerings .
investment management revenues in the consolidated statements of earnings were $ 5.87 billion for 2015 , 2% ( 2 % ) higher than 2014 , due to slightly higher management and other fees , primarily reflecting higher average assets under supervision , and higher transaction revenues .
commissions and fees in the consolidated statements of earnings were $ 3.32 billion for 2015 , essentially unchanged compared with 2014 .
market-making revenues in the consolidated statements of earnings were $ 9.52 billion for 2015 , 14% ( 14 % ) higher than 2014 .
excluding a gain of $ 289 million in 2014 related to the extinguishment of certain of our junior subordinated debt , market-making revenues were 18% ( 18 % ) higher than 2014 , reflecting significantly higher revenues in interest rate products , currencies , equity cash products and equity derivatives .
these increases were partially offset by significantly lower revenues in mortgages , commodities and credit products .
other principal transactions revenues in the consolidated statements of earnings were $ 5.02 billion for 2015 , 24% ( 24 % ) lower than 2014 .
this decrease was primarily due to lower revenues from investments in equities , principally reflecting the sale of metro international trade services ( metro ) in the fourth quarter of 2014 and lower net gains from investments in private equities , driven by corporate performance .
in addition , revenues in debt securities and loans were significantly lower , reflecting lower net gains from investments .
net interest income .
net interest income in the consolidated statements of earnings was $ 3.06 billion for 2015 , 24% ( 24 % ) lower than 2014 .
the decrease compared with 2014 was due to lower interest income resulting from a reduction in interest income related to financial instruments owned , at fair value , partially offset by the impact of an increase in total average loans receivable .
the decrease in interest income was partially offset by a decrease in interest expense , which primarily reflected lower interest expense related to financial instruments sold , but not yet purchased , at fair value and other interest-bearing liabilities , partially offset by higher interest expense related to long-term borrowings .
see 201csupplemental financial information 2014 statistical disclosures 2014 distribution of assets , liabilities and shareholders 2019 equity 201d for further information about our sources of net interest income .
operating expenses our operating expenses are primarily influenced by compensation , headcount and levels of business activity .
compensation and benefits includes salaries , discretionary compensation , amortization of equity awards and other items such as benefits .
discretionary compensation is significantly impacted by , among other factors , the level of net revenues , overall financial performance , prevailing labor markets , business mix , the structure of our share- based compensation programs and the external environment .
in addition , see 201cuse of estimates 201d for additional information about expenses that may arise from litigation and regulatory proceedings .
in the context of the challenging environment during the first half of 2016 , we completed an initiative that identified areas where we can operate more efficiently , resulting in a reduction of approximately $ 900 million in annual run rate compensation .
for 2016 , net savings from this initiative , after severance and other related costs , were approximately $ 500 million .
the table below presents our operating expenses and total staff ( which includes employees , consultants and temporary staff ) . .

Table:
$ in millions	year ended december 2016	year ended december 2015	year ended december 2014
compensation and benefits	$ 11647	$ 12678	$ 12691
brokerage clearing exchange anddistribution fees	2555	2576	2501
market development	457	557	549
communications and technology	809	806	779
depreciation and amortization	998	991	1337
occupancy	788	772	827
professional fees	882	963	902
other expenses	2168	5699	2585
total non-compensation expenses	8657	12364	9480
total operating expenses	$ 20304	$ 25042	$ 22171
total staff at period-end	34400	36800	34000

Post-table text:
56 goldman sachs 2016 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:
how much of a greater return , in percentage , was gained in the s&p retail index compared to the tractor supply company?

Pre-table text:
stock performance graph this performance graph shall not be deemed 201cfiled 201d for purposes of section 18 of the securities exchange act of 1934 , as amended ( the 201cexchange act 201d ) or otherwise subject to the liabilities under that section and shall not be deemed to be incorporated by reference into any filing of tractor supply company under the securities act of 1933 , as amended , or the exchange act .
the following graph compares the cumulative total stockholder return on our common stock from december 28 , 2013 to december 29 , 2018 ( the company 2019s fiscal year-end ) , with the cumulative total returns of the s&p 500 index and the s&p retail index over the same period .
the comparison assumes that $ 100 was invested on december 28 , 2013 , in our common stock and in each of the foregoing indices and in each case assumes reinvestment of dividends .
the historical stock price performance shown on this graph is not indicative of future performance. .

Table:
	12/28/2013	12/27/2014	12/26/2015	12/31/2016	12/30/2017	12/29/2018
tractor supply company	$ 100.00	$ 104.11	$ 115.45	$ 103.33	$ 103.67	$ 117.18
s&p 500	$ 100.00	$ 115.76	$ 116.64	$ 129.55	$ 157.84	$ 149.63
s&p retail index	$ 100.00	$ 111.18	$ 140.22	$ 148.53	$ 193.68	$ 217.01

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 difference in total additions between 2006 and 2007 in millions?

Pre-table text:
jpmorgan chase & co .
/ 2007 annual report 155 flows at risk-adjusted rates .
the model considers portfolio characteris- tics , contractually specified servicing fees , prepayment assumptions , delinquency rates , late charges , other ancillary revenue and costs to service , and other economic factors .
the firm reassesses and periodi- cally adjusts the underlying inputs and assumptions used in the oas model to reflect market conditions and assumptions that a market par- ticipant would consider in valuing the msr asset .
during the fourth quarter of the 2007 , the firm 2019s proprietary prepayment model was refined to reflect a decrease in estimated future mortgage prepay- ments based upon a number of market related factors including a downward trend in home prices , general tightening of credit under- writing standards and the associated impact on refinancing activity .
the firm compares fair value estimates and assumptions to observable market data where available and to recent market activity and actual portfolio experience .
the fair value of msrs is sensitive to changes in interest rates , includ- ing their effect on prepayment speeds .
jpmorgan chase uses or has used combinations of derivatives , afs securities and trading instru- ments to manage changes in the fair value of msrs .
the intent is to offset any changes in the fair value of msrs with changes in the fair value of the related risk management instruments .
msrs decrease in value when interest rates decline .
conversely , securities ( such as mort- gage-backed securities ) , principal-only certificates and certain deriva- tives ( when the firm receives fixed-rate interest payments ) increase in value when interest rates decline .
in march 2006 , the fasb issued sfas 156 , which permits an entity a one-time irrevocable election to adopt fair value accounting for a class of servicing assets .
jpmorgan chase elected to adopt the standard effective january 1 , 2006 , and defined msrs as one class of servicing assets for this election .
at the transition date , the fair value of the msrs exceeded their carrying amount , net of any related valuation allowance , by $ 150 million net of taxes .
this amount was recorded as a cumulative-effect adjustment to retained earnings as of january 1 , 2006 .
msrs are recognized in the consolidated balance sheet at fair value , and changes in their fair value are recorded in current- period earnings .
revenue amounts related to msrs and the financial instruments used to manage the risk of msrs are recorded in mortgage fees and related income .
for the year ended december 31 , 2005 , msrs were accounted for under sfas 140 , using a lower of cost or fair value approach .
under this approach , msrs were amortized as a reduction of the actual servicing income received in proportion to , and over the period of , the estimated future net servicing income stream of the underlying mortgage loans .
for purposes of evaluating and measuring impairment of msrs , the firm stratified the portfolio on the basis of the predominant risk characteristics , which are loan type and interest rate .
any indicated impairment was rec- ognized as a reduction in revenue through a valuation allowance , which represented the extent to which the carrying value of an individual stra- tum exceeded its estimated fair value .
any gross carrying value and relat- ed valuation allowance amounts which were not expected to be recov- ered in the foreseeable future , based upon the interest rate scenario , were considered to be other-than-temporary .
prior to the adoption of sfas 156 , the firm designated certain deriva- tives used to risk manage msrs ( e.g. , a combination of swaps , swap- tions and floors ) as sfas 133 fair value hedges of benchmark interest rate risk .
sfas 133 hedge accounting allowed the carrying value of the hedged msrs to be adjusted through earnings in the same period that the change in value of the hedging derivatives was recognized through earnings .
the designated hedge period was daily .
in designat- ing the benchmark interest rate , the firm considered the impact that the change in the benchmark rate had on the prepayment speed esti- mates in determining the fair value of the msrs .
hedge effectiveness was assessed using a regression analysis of the change in fair value of the msrs as a result of changes in benchmark interest rates and of the change in the fair value of the designated derivatives .
the valua- tion adjustments to both the msrs and sfas 133 derivatives were recorded in mortgage fees and related income .
with the election to apply fair value accounting to the msrs under sfas 156 , sfas 133 hedge accounting is no longer necessary .
for a further discussion on derivative instruments and hedging activities , see note 30 on pages 168 2013169 of this annual report .
the following table summarizes msr activity , certain key assumptions , and the sensitivity of the fair value of msrs to adverse changes in those key assumptions for the years ended december 31 , 2007 and 2006 , during which period msrs were accounted for under sfas year ended december 31 , ( in millions ) 2007 2006 .

Table:
year ended december 31 ( inmillions )	2007	2006
balance at beginning of period after valuation allowance	$ 7546	$ 6452
cumulative effect of change in accounting principle	2014	230
fair value at beginning of period	7546	6682
originations of msrs	2335	1512
purchase of msrs	798	627
total additions	3133	2139
change in valuation due to inputs and assumptions ( a )	-516 ( 516 )	165
other changes in fair value ( b )	-1531 ( 1531 )	-1440 ( 1440 )
total change in fair value	-2047 ( 2047 )	-1275 ( 1275 )
fair value at december 31	$ 8632	$ 7546
change in unrealized ( losses ) gains included in income related to msrs held at december 31	$ -516 ( 516 )	na

Post-table text:
change in unrealized ( losses ) gains included in income related to msrs held at december 31 $ ( 516 ) na ( a ) represents msr asset fair value adjustments due to changes in market-based inputs , such as interest rates and volatility , as well as updates to assumptions used in the msr valuation model .
this caption also represents total realized and unrealized gains ( losses ) included in net income per the sfas 157 disclosure for fair value measurement using significant unobservable inputs ( level 3 ) .
these changes in fair value are recorded in mortgage fees and related income .
( b ) includes changes in the msr value due to modeled servicing portfolio runoff ( or time decay ) .
this caption represents the impact of cash settlements per the sfas 157 disclosure for fair value measurement using significant unobservable inputs ( level 3 ) .
these changes in fair value are recorded in mortgage fees and related income. .

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 net change in the number of staff in 2015?

Pre-table text:
the goldman sachs group , inc .
and subsidiaries management 2019s discussion and analysis non-interest revenues .
investment banking revenues in the consolidated statements of earnings were $ 7.03 billion for 2015 , 9% ( 9 % ) higher than 2014 , due to significantly higher revenues in financial advisory , reflecting strong client activity , particularly in the u.s .
industry-wide completed mergers and acquisitions increased significantly compared with the prior year .
revenues in underwriting were lower compared with a strong 2014 .
revenues in debt underwriting were lower compared with 2014 , reflecting significantly lower leveraged finance activity .
revenues in equity underwriting were also lower , reflecting significantly lower revenues from initial public offerings and convertible offerings , partially offset by significantly higher revenues from secondary offerings .
investment management revenues in the consolidated statements of earnings were $ 5.87 billion for 2015 , 2% ( 2 % ) higher than 2014 , due to slightly higher management and other fees , primarily reflecting higher average assets under supervision , and higher transaction revenues .
commissions and fees in the consolidated statements of earnings were $ 3.32 billion for 2015 , essentially unchanged compared with 2014 .
market-making revenues in the consolidated statements of earnings were $ 9.52 billion for 2015 , 14% ( 14 % ) higher than 2014 .
excluding a gain of $ 289 million in 2014 related to the extinguishment of certain of our junior subordinated debt , market-making revenues were 18% ( 18 % ) higher than 2014 , reflecting significantly higher revenues in interest rate products , currencies , equity cash products and equity derivatives .
these increases were partially offset by significantly lower revenues in mortgages , commodities and credit products .
other principal transactions revenues in the consolidated statements of earnings were $ 5.02 billion for 2015 , 24% ( 24 % ) lower than 2014 .
this decrease was primarily due to lower revenues from investments in equities , principally reflecting the sale of metro international trade services ( metro ) in the fourth quarter of 2014 and lower net gains from investments in private equities , driven by corporate performance .
in addition , revenues in debt securities and loans were significantly lower , reflecting lower net gains from investments .
net interest income .
net interest income in the consolidated statements of earnings was $ 3.06 billion for 2015 , 24% ( 24 % ) lower than 2014 .
the decrease compared with 2014 was due to lower interest income resulting from a reduction in interest income related to financial instruments owned , at fair value , partially offset by the impact of an increase in total average loans receivable .
the decrease in interest income was partially offset by a decrease in interest expense , which primarily reflected lower interest expense related to financial instruments sold , but not yet purchased , at fair value and other interest-bearing liabilities , partially offset by higher interest expense related to long-term borrowings .
see 201csupplemental financial information 2014 statistical disclosures 2014 distribution of assets , liabilities and shareholders 2019 equity 201d for further information about our sources of net interest income .
operating expenses our operating expenses are primarily influenced by compensation , headcount and levels of business activity .
compensation and benefits includes salaries , discretionary compensation , amortization of equity awards and other items such as benefits .
discretionary compensation is significantly impacted by , among other factors , the level of net revenues , overall financial performance , prevailing labor markets , business mix , the structure of our share- based compensation programs and the external environment .
in addition , see 201cuse of estimates 201d for additional information about expenses that may arise from litigation and regulatory proceedings .
in the context of the challenging environment during the first half of 2016 , we completed an initiative that identified areas where we can operate more efficiently , resulting in a reduction of approximately $ 900 million in annual run rate compensation .
for 2016 , net savings from this initiative , after severance and other related costs , were approximately $ 500 million .
the table below presents our operating expenses and total staff ( which includes employees , consultants and temporary staff ) . .

Table:
$ in millions	year ended december 2016	year ended december 2015	year ended december 2014
compensation and benefits	$ 11647	$ 12678	$ 12691
brokerage clearing exchange anddistribution fees	2555	2576	2501
market development	457	557	549
communications and technology	809	806	779
depreciation and amortization	998	991	1337
occupancy	788	772	827
professional fees	882	963	902
other expenses	2168	5699	2585
total non-compensation expenses	8657	12364	9480
total operating expenses	$ 20304	$ 25042	$ 22171
total staff at period-end	34400	36800	34000

Post-table text:
56 goldman sachs 2016 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 ratio of the acquisition related costs recognized in 2015 to 2014

Pre-table text:
simplify the presentation of deferred income taxes and reduce complexity without decreasing the usefulness of information provided to users of financial statements .
the adoption of this pronouncement did not have a significant impact on the company 2019s financial position , results of operations and cash flows .
3 .
acquisitions endomondo on january 5 , 2015 , the company acquired 100% ( 100 % ) of the outstanding equity of endomondo , a denmark- based digital connected fitness company , to expand the under armour connected fitness community .
the purchase price was $ 85.0 million , adjusted for working capital .
the company recognized $ 0.6 million and $ 0.8 million in acquisition related costs that were expensed during the three months ended march 31 , 2015 and december 31 , 2014 , respectively .
these costs are included in the consolidated statements of income in the line item entitled 201cselling , general and administrative expenses . 201d pro forma results are not presented , as the acquisition was not considered material to the consolidated company .
myfitnesspal on march 17 , 2015 , the company acquired 100% ( 100 % ) of the outstanding equity of mfp , a digital nutrition and connected fitness company , to expand the under armour connected fitness community .
the final adjusted transaction value totaled $ 474.0 million .
the total consideration of $ 463.9 million was adjusted to reflect the accelerated vesting of certain share awards of mfp , which are not conditioned upon continued employment , and transaction costs borne by the selling shareholders .
the acquisition was funded with $ 400.0 million of increased term loan borrowings and a draw on the revolving credit facility , with the remaining amount funded by cash on the company recognized $ 5.7 million of acquisition related costs that were expensed during the three months ended march 31 , 2015 .
these costs are included in the consolidated statement of income in the line item entitled 201cselling , general and administrative expenses . 201d the following represents the pro forma consolidated income statement as if mfp had been included in the consolidated results of the company for the year ended december 31 , 2015 and december 31 , 2014: .

Table:
( in thousands )	year ended december 31 , 2015	year ended december 31 , 2014
net revenues	$ 3967008	$ 3098341
net income	231277	189659

Post-table text:
these amounts have been calculated after applying the company 2019s accounting policies and adjusting the results of mfp to reflect the acquisition as if it closed on january 1 , 2014 .
pro forma net income for the year ended december 31 , 2014 includes $ 5.7 million in transaction expenses which were included in the consolidated statement of income for the year ended december 31 , 2015 , but excluded from the calculation of pro forma net income for december 31 , 2015. .

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 average of investments from 2014 to 2015?

Pre-table text:
the company had net realized capital losses for 2015 of $ 184.1 million .
in 2015 , the company recorded $ 102.2 million of other-than-temporary impairments on fixed maturity securities , $ 45.6 million of losses due to fair value re-measurements and $ 36.3 million of net realized capital losses from sales of fixed maturity and equity securities .
in 2014 , net realized capital gains were $ 84.0 million due to $ 121.7 million of gains from fair value re-measurements on fixed maturity and equity securities and $ 1.9 million of net realized capital gains from sales of fixed maturity and equity securities , partially offset by $ 39.5 million of other-than- temporary impairments on fixed maturity securities .
in 2013 , net realized capital gains were $ 300.2 million due to $ 258.9 million of gains due to fair value re-measurements on fixed maturity and equity securities and $ 42.4 million of net realized capital gains from sales of fixed maturity and equity securities , partially offset by $ 1.1 million of other-than-temporary impairments on fixed maturity securities .
the company 2019s cash and invested assets totaled $ 17.7 billion at december 31 , 2015 , which consisted of 87.4% ( 87.4 % ) fixed maturities and cash , of which 91.4% ( 91.4 % ) were investment grade ; 8.2% ( 8.2 % ) equity securities and 4.4% ( 4.4 % ) other invested assets .
the average maturity of fixed maturity securities was 4.1 years at december 31 , 2015 , and their overall duration was 3.0 years .
as of december 31 , 2015 , the company did not have any direct investments in commercial real estate or direct commercial mortgages or any material holdings of derivative investments ( other than equity index put option contracts as discussed in item 8 , 201cfinancial statements and supplementary data 201d - note 4 of notes to consolidated financial statements ) or securities of issuers that are experiencing cash flow difficulty to an extent that the company 2019s management believes could threaten the issuer 2019s ability to meet debt service payments , except where other-than-temporary impairments have been recognized .
the company 2019s investment portfolio includes structured commercial mortgage-backed securities ( 201ccmbs 201d ) with a book value of $ 264.9 million and a market value of $ 266.3 million .
cmbs securities comprising more than 70% ( 70 % ) of the december 31 , 2015 market value are rated aaa by standard & poor 2019s financial services llc ( 201cstandard & poor 2019s 201d ) .
furthermore , securities comprising more than 90% ( 90 % ) of the market value are rated investment grade by standard & poor 2019s .
the following table reflects investment results for the company for the periods indicated: .

Table:
( dollars in millions )	december 31 , average investments ( 1 )	december 31 , pre-tax investment income ( 2 )	december 31 , pre-tax effective yield	december 31 , pre-tax realized net capital ( losses ) gains ( 3 )	december 31 , pre-tax unrealized net capital gains ( losses )
2015	$ 17430.8	$ 473.8	2.72% ( 2.72 % )	$ -184.1 ( 184.1 )	$ -194.0 ( 194.0 )
2014	16831.9	530.6	3.15% ( 3.15 % )	84.0	20.3
2013	16472.5	548.5	3.33% ( 3.33 % )	300.2	-467.2 ( 467.2 )
2012	16220.9	600.2	3.70% ( 3.70 % )	164.4	161.0
2011	15680.9	620.0	3.95% ( 3.95 % )	6.9	106.6

Post-table text:
pre-tax pre-tax pre-tax pre-tax realized net unrealized net average investment effective capital ( losses ) capital gains ( dollars in millions ) investments ( 1 ) income ( 2 ) yield gains ( 3 ) ( losses ) 17430.8$ 473.8$ 2.72% ( 2.72 % ) ( 184.1 ) $ ( 194.0 ) $ 16831.9 530.6 3.15% ( 3.15 % ) 84.0 20.3 16472.5 548.5 3.33% ( 3.33 % ) 300.2 ( 467.2 ) 16220.9 600.2 3.70% ( 3.70 % ) 164.4 161.0 15680.9 620.0 3.95% ( 3.95 % ) 6.9 106.6 ( 1 ) average of the beginning and ending carrying values of investments and cash , less net funds held , future policy benefit reserve , and non-interest bearing cash .
bonds , common stock and redeemable and non-redeemable preferred stocks are carried at market value .
common stock which are actively managed are carried at fair value .
( 2 ) after investment expenses , excluding realized net capital gains ( losses ) .
( 3 ) included in 2015 , 2014 , 2013 , 2012 and 2011 are fair value re-measurements of ( $ 45.6 ) million , $ 121.7 million , $ 258.9 million , $ 118.1 million and ( $ 4.4 ) million , 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 average payment volume per transaction for jcb?

Pre-table text:
largest operators of open-loop and closed-loop retail electronic payments networks the largest operators of open-loop and closed-loop retail electronic payments networks are visa , mastercard , american express , discover , jcb and diners club .
with the exception of discover , which primarily operates in the united states , all of the other network operators can be considered multi- national or global providers of payments network services .
based on payments volume , total volume , number of transactions and number of cards in circulation , visa is the largest retail electronic payments network in the world .
the following chart compares our network with those of our major competitors for calendar year 2007 : company payments volume volume transactions cards ( billions ) ( billions ) ( billions ) ( millions ) visa inc. ( 1 ) .
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$ 2457 $ 3822 50.3 1592 .

Table:
company	payments volume ( billions )	total volume ( billions )	total transactions ( billions )	cards ( millions )
visa inc. ( 1 )	$ 2457	$ 3822	50.3	1592
mastercard	1697	2276	27.0	916
american express	637	647	5.0	86
discover	102	119	1.6	57
jcb	55	61	0.6	58
diners club	29	30	0.2	7

Post-table text:
( 1 ) visa inc .
figures as reported previously in our filings .
source : the nilson report , issue 902 ( may 2008 ) and issue 903 ( may 2008 ) .
note : visa inc .
figures exclude visa europe .
figures for competitors include their respective european operations .
visa figures include visa , visa electron , and interlink brands .
visa cards include plus proprietary cards , but proprietary plus cash volume is not included .
domestic china figures are excluded .
mastercard figures include pin-based debit card figures on mastercard cards , but not maestro or cirrus figures .
china commercial funds transfers are excluded .
american express and discover include business from third-party issuers .
jcb figures are for april 2006 through march 2007 , but cards and outlets are as of september 2007 .
jcb total transaction figures are estimates .
our primary operations we generate revenue from the transaction processing services we offer to our customers .
our customers deliver visa products and payment services to consumers and merchants based on the product platforms we define and manage .
payments network management is a core part of our operations , as it ensures that our payments system provides a safe , efficient , consistent , and interoperable service to cardholders , merchants , and financial institutions worldwide .
transaction processing services core processing services our core processing services involve the routing of payment information and related data to facilitate the authorization , clearing and settlement of transactions between visa issuers , which are the financial institutions that issue visa cards to cardholders , and acquirers , which are the financial institutions that offer visa network connectivity and payments acceptance services to merchants .
in addition , we offer a range of value-added processing services to support our customers 2019 visa programs and to promote the growth and security of the visa payments network .
authorization is the process of approving or declining a transaction before a purchase is finalized or cash is disbursed .
clearing is the process of delivering final transaction data from an acquirer to an issuer for posting to the cardholder 2019s account , the calculation of certain fees and charges that apply to the issuer and acquirer involved in the transaction , and the conversion of transaction amounts to the .

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 lowest segment operating income margin?

Pre-table text:
of exiting a business in japan , economic weakness in asia and political unrest in thailand , partially offset by growth in new zealand and certain emerging markets .
reinsurance commissions , fees and other revenue increased 48% ( 48 % ) , due mainly to the benfield merger , partially offset by unfavorable foreign currency translation .
organic revenue is even with 2008 , as growth in domestic treaty business and slightly higher pricing was offset by greater client retention , and declines in investment banking and facultative placements .
operating income operating income increased $ 54 million or 6% ( 6 % ) from 2008 to $ 900 million in 2009 .
in 2009 , operating income margins in this segment were 14.3% ( 14.3 % ) , up 60 basis points from 13.7% ( 13.7 % ) in 2008 .
contributing to increased operating income and margins were the merger with benfield , lower e&o costs due to insurance recoveries , a pension curtailment gain of $ 54 million in 2009 versus a curtailment loss of $ 6 million in 2008 , declines in anti-corruption and compliance initiative costs of $ 35 million , restructuring savings , and other cost savings initiatives .
these items were partially offset by an increase of $ 140 million in restructuring costs , $ 95 million of lower fiduciary investment income , benfield integration costs and higher amortization of intangible assets obtained in the merger , and unfavorable foreign currency translation .
consulting .

Table:
years ended december 31,	2009	2008	2007
segment revenue	$ 1267	$ 1356	$ 1345
segment operating income	203	208	180
segment operating income margin	16.0% ( 16.0 % )	15.3% ( 15.3 % )	13.4% ( 13.4 % )

Post-table text:
our consulting segment generated 17% ( 17 % ) of our consolidated total revenues in 2009 and provides a broad range of human capital consulting services , as follows : consulting services : 1 .
health and benefits advises clients about how to structure , fund , and administer employee benefit programs that attract , retain , and motivate employees .
benefits consulting include health and welfare , executive benefits , workforce strategies and productivity , absence management , benefits administration , data-driven health , compliance , employee commitment , investment advisory and elective benefits services .
2 .
retirement specializes in global actuarial services , defined contribution consulting , investment consulting , tax and erisa consulting , and pension administration .
3 .
compensation focuses on compensatory advisory/counsel including : compensation planning design , executive reward strategies , salary survey and benchmarking , market share studies and sales force effectiveness , with special expertise in the financial services and technology industries .
4 .
strategic human capital delivers advice to complex global organizations on talent , change and organizational effectiveness issues , including talent strategy and acquisition , executive on-boarding , performance management , leadership assessment and development , communication strategy , workforce training and change management .
outsourcing offers employment processing , performance improvement , benefits administration and other employment-related services .
beginning in late 2008 and continuing throughout 2009 , the disruption in the global credit markets and the deterioration of the financial markets has created significant uncertainty in the marketplace .
the prolonged economic downturn is adversely impacting our clients 2019 financial condition and the levels of business activities in the industries and geographies where we operate .
while we believe that the majority of our practices are well positioned to manage through this time , these challenges are reducing demand for some of our services and depressing the price of those services , which is having an adverse effect on our new business and results of operations. .

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"]}

table_min(
segment operating income margin
)
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 quarterly cash dividend for the period ended march 31 2002 to the period ended december 31 2002?

Pre-table text:
market price and dividends d u k e r e a l t y c o r p o r a t i o n 3 8 2 0 0 2 a n n u a l r e p o r t the company 2019s common shares are listed for trading on the new york stock exchange , symbol dre .
the following table sets forth the high and low sales prices of the common stock for the periods indicated and the dividend paid per share during each such period .
comparable cash dividends are expected in the future .
on january 29 , 2003 , the company declared a quarterly cash dividend of $ .455 per share , payable on february 28 , 2003 , to common shareholders of record on february 14 , 2003. .

Table:
quarter ended	2002 high	2002 low	2002 dividend	2002 high	2002 low	dividend
december 31	$ 25.84	$ 21.50	$ .455	$ 24.80	$ 22.00	$ .45
september 30	28.88	21.40	.455	26.17	21.60	.45
june 30	28.95	25.46	.450	24.99	22.00	.43
march 31	26.50	22.92	.450	25.44	21.85	.43

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:
considering the year 2016 , what is the short-term debt as a percent of total debt?

Pre-table text:
15 .
debt the tables below summarize our outstanding debt at 30 september 2016 and 2015 : total debt .

Table:
30 september	2016	2015
short-term borrowings	$ 935.8	$ 1494.3
current portion of long-term debt	371.3	435.6
long-term debt	4918.1	3949.1
total debt	$ 6225.2	$ 5879.0
short-term borrowings
30 september	2016	2015
bank obligations	$ 133.1	$ 234.3
commercial paper	802.7	1260.0
total short-term borrowings	$ 935.8	$ 1494.3

Post-table text:
the weighted average interest rate of short-term borrowings outstanding at 30 september 2016 and 2015 was 1.1% ( 1.1 % ) and .8% ( .8 % ) , respectively .
cash paid for interest , net of amounts capitalized , was $ 121.1 in 2016 , $ 97.5 in 2015 , and $ 132.4 in 2014. .

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:
by how much did the average price per share increase from 2010 to 2011?

Pre-table text:
during the fourth quarter of 2010 , schlumberger issued 20ac1.0 billion 2.75% ( 2.75 % ) guaranteed notes due under this program .
schlumberger entered into agreements to swap these euro notes for us dollars on the date of issue until maturity , effectively making this a us denominated debt on which schlumberger will pay interest in us dollars at a rate of 2.56% ( 2.56 % ) .
during the first quarter of 2009 , schlumberger issued 20ac1.0 billion 4.50% ( 4.50 % ) guaranteed notes due 2014 under this program .
schlumberger entered into agreements to swap these euro notes for us dollars on the date of issue until maturity , effectively making this a us dollar denominated debt on which schlumberger will pay interest in us dollars at a rate of 4.95% ( 4.95 % ) .
0160 on april 17 , 2008 , the schlumberger board of directors approved an $ 8 billion share repurchase program for shares of schlumberger common stock , to be acquired in the open market before december 31 , 2011 .
on july 21 , 2011 , the schlumberger board of directors approved an extension of this repurchase program to december 31 , 2013 .
schlumberger had repurchased $ 7.12 billion of shares under this program as of december 31 , 2012 .
the following table summarizes the activity under this share repurchase program during 2012 , 2011 and 2010 : ( stated in thousands except per share amounts ) total cost of shares purchased total number of shares purchased average price paid per share .

Table:
	total cost of shares purchased	total number of shares purchased	average price paid per share
2012	$ 971883	14087.8	$ 68.99
2011	$ 2997688	36940.4	$ 81.15
2010	$ 1716675	26624.8	$ 64.48

Post-table text:
0160 cash flow provided by operations was $ 6.8 billion in 2012 , $ 6.1 billion in 2011 and $ 5.5 billion in 2010 .
in recent years , schlumberger has actively managed its activity levels in venezuela relative to its accounts receivable balance , and has recently experienced an increased delay in payment from its national oil company customer there .
schlumberger operates in approximately 85 countries .
at december 31 , 2012 , only five of those countries ( including venezuela ) individually accounted for greater than 5% ( 5 % ) of schlumberger 2019s accounts receivable balance of which only one , the united states , represented greater than 10% ( 10 % ) .
0160 dividends paid during 2012 , 2011 and 2010 were $ 1.43 billion , $ 1.30 billion and $ 1.04 billion , respectively .
on january 17 , 2013 , schlumberger announced that its board of directors had approved an increase in the quarterly dividend of 13.6% ( 13.6 % ) , to $ 0.3125 .
on january 19 , 2012 , schlumberger announced that its board of directors had approved an increase in the quarterly dividend of 10% ( 10 % ) , to $ 0.275 .
on january 21 , 2011 , schlumberger announced that its board of directors had approved an increase in the quarterly dividend of 19% ( 19 % ) , to $ 0.25 .
0160 capital expenditures were $ 4.7 billion in 2012 , $ 4.0 billion in 2011 and $ 2.9 billion in 2010 .
capital expenditures are expected to approach $ 3.9 billion for the full year 2013 .
0160 during 2012 , 2011 and 2010 schlumberger made contributions of $ 673 million , $ 601 million and $ 868 million , respectively , to its postretirement benefit plans .
the us pension plans were 82% ( 82 % ) funded at december 31 , 2012 based on the projected benefit obligation .
this compares to 87% ( 87 % ) funded at december 31 , 2011 .
schlumberger 2019s international defined benefit pension plans are a combined 88% ( 88 % ) funded at december 31 , 2012 based on the projected benefit obligation .
this compares to 88% ( 88 % ) funded at december 31 , 2011 .
schlumberger currently anticipates contributing approximately $ 650 million to its postretirement benefit plans in 2013 , subject to market and business conditions .
0160 there were $ 321 million outstanding series b debentures at december 31 , 2009 .
during 2010 , the remaining $ 320 million of the 2.125% ( 2.125 % ) series b convertible debentures due june 1 , 2023 were converted by holders into 8.0 million shares of schlumberger common stock and the remaining $ 1 million of outstanding series b debentures were redeemed for cash. .

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:
in 2013 what was the percentage of the sites closed down

Pre-table text:
our environmental site activity was as follows : 2013 2012 2011 .

Table:
	2013	2012	2011
open sites beginning balance	284	285	294
new sites	41	56	51
closed sites	-57 ( 57 )	-57 ( 57 )	-60 ( 60 )
open sites ending balance atdecember 31	268	284	285

Post-table text:
the environmental liability includes future costs for remediation and restoration of sites , as well as ongoing monitoring costs , but excludes any anticipated recoveries from third parties .
cost estimates are based on information available for each site , financial viability of other potentially responsible parties , and existing technology , laws , and regulations .
the ultimate liability for remediation is difficult to determine because of the number of potentially responsible parties , site-specific cost sharing arrangements with other potentially responsible parties , the degree of contamination by various wastes , the scarcity and quality of volumetric data related to many of the sites , and the speculative nature of remediation costs .
estimates of liability may vary over time due to changes in federal , state , and local laws governing environmental remediation .
current obligations are not expected to have a material adverse effect on our consolidated results of operations , financial condition , or liquidity .
property and depreciation 2013 our railroad operations are highly capital intensive , and our large base of homogeneous , network-type assets turns over on a continuous basis .
each year we develop a capital program for the replacement of assets and for the acquisition or construction of assets that enable us to enhance our operations or provide new service offerings to customers .
assets purchased or constructed throughout the year are capitalized if they meet applicable minimum units of property criteria .
properties and equipment are carried at cost and are depreciated on a straight-line basis over their estimated service lives , which are measured in years , except for rail in high-density traffic corridors ( i.e. , all rail lines except for those subject to abandonment , yard and switching tracks , and electronic yards ) for which lives are measured in millions of gross tons per mile of track .
we use the group method of depreciation in which all items with similar characteristics , use , and expected lives are grouped together in asset classes , and are depreciated using composite depreciation rates .
the group method of depreciation treats each asset class as a pool of resources , not as singular items .
we currently have more than 60 depreciable asset classes , and we may increase or decrease the number of asset classes due to changes in technology , asset strategies , or other factors .
we determine the estimated service lives of depreciable railroad property by means of depreciation studies .
we perform depreciation studies at least every three years for equipment and every six years for track assets ( i.e. , rail and other track material , ties , and ballast ) and other road property .
our depreciation studies take into account the following factors : f0b7 statistical analysis of historical patterns of use and retirements of each of our asset classes ; f0b7 evaluation of any expected changes in current operations and the outlook for continued use of the assets ; f0b7 evaluation of technological advances and changes to maintenance practices ; and f0b7 expected salvage to be received upon retirement .
for rail in high-density traffic corridors , we measure estimated service lives in millions of gross tons per mile of track .
it has been our experience that the lives of rail in high-density traffic corridors are closely correlated to usage ( i.e. , the amount of weight carried over the rail ) .
the service lives also vary based on rail weight , rail condition ( e.g. , new or secondhand ) , and rail type ( e.g. , straight or curve ) .
our depreciation studies for rail in high density traffic corridors consider each of these factors in determining the estimated service lives .
for rail in high-density traffic corridors , we calculate depreciation rates annually by dividing the number of gross ton-miles carried over the rail ( i.e. , the weight of loaded and empty freight cars , locomotives and maintenance of way equipment transported over the rail ) by the estimated service lives of the rail measured in millions of gross tons per mile .
rail in high-density traffic corridors accounts for approximately 70 percent of the historical cost of rail and other track material .
based on the number of gross ton-miles carried over our rail in high density traffic corridors during 2013 , the estimated service lives of the majority of this rail ranged from approximately 15 years to approximately 30 years .
for all other depreciable assets , we compute depreciation based on the estimated service lives .

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:
in 2014 , what percentage of the total amortization amount was from intangibles?

Pre-table text:
devon energy corporation and subsidiaries notes to consolidated financial statements 2013 ( continued ) asset divestitures in conjunction with the asset divestitures in 2013 and 2014 , devon removed $ 26 million and $ 706 million of goodwill , respectively , which were allocated to these assets .
impairment devon 2019s canadian goodwill was originally recognized in 2001 as a result of a business combination consisting almost entirely of conventional gas assets that devon no longer owns .
as a result of performing the goodwill impairment test described in note 1 , devon concluded the implied fair value of its canadian goodwill was zero as of december 31 , 2014 .
this conclusion was largely based on the significant decline in benchmark oil prices , particularly after opec 2019s decision not to reduce its production targets that was announced in late november 2014 .
consequently , in the fourth quarter of 2014 , devon wrote off its remaining canadian goodwill and recognized a $ 1.9 billion impairment .
other intangible assets as of december 31 , 2014 , intangible assets associated with customer relationships had a gross carrying amount of $ 569 million and $ 36 million of accumulated amortization .
the weighted-average amortization period for the customer relationships is 13.7 years .
amortization expense for intangibles was approximately $ 36 million for the year ended december 31 , 2014 .
other intangible assets are reported in other long-term assets in the accompanying consolidated balance sheets .
the following table summarizes the estimated aggregate amortization expense for the next five years .
year amortization amount ( in millions ) .

Table:
year	amortization amount ( in millions )
2015	$ 45
2016	$ 45
2017	$ 45
2018	$ 45
2019	$ 44

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 operating margin for 2014?

Pre-table text:
2014 vs .
2013 sales increased 9% ( 9 % ) , as higher volumes of 9% ( 9 % ) and favorable currency of 1% ( 1 % ) were partially offset by lower pricing of 1% ( 1 % ) .
electronics sales increased 8% ( 8 % ) , as higher delivery systems equipment sales and materials volumes of 8% ( 8 % ) and favorable currency of 1% ( 1 % ) were partially offset by lower pricing of 1% ( 1 % ) .
performance materials sales increased 10% ( 10 % ) , as higher volumes of 11% ( 11 % ) were partially offset by lower pricing of 1% ( 1 % ) .
the higher volumes were across all product lines and major regions .
the lower pricing was primarily due to unfavorable mix impacts .
operating income of $ 425.3 increased 32% ( 32 % ) , or $ 104.0 , primarily from higher volumes of $ 93 , lower operating costs of $ 31 , and favorable currency impacts of $ 5 , partially offset by unfavorable price and mix impacts of $ 26 .
operating margin of 17.4% ( 17.4 % ) increased 310 bp , primarily due to improved loading and leverage from the higher volumes and improved cost performance , partially offset by the unfavorable pricing impacts .
2013 vs .
2012 sales decreased 3% ( 3 % ) , as lower volumes of 4% ( 4 % ) and lower pricing of 1% ( 1 % ) were partially offset by acquisitions of 2% ( 2 % ) .
electronics sales decreased 8% ( 8 % ) , as weaker materials volumes and equipment sales were partially offset by the acquisition of da nanomaterials .
performance materials sales increased 2% ( 2 % ) , as higher volumes of 4% ( 4 % ) were partially offset by lower pricing of 2% ( 2 % ) .
the increase in volumes was primarily due to strength in the automobile and u.s .
housing markets partially offset by weaker volumes to certain construction markets and marine coatings .
the lower pricing was primarily due to unfavorable mix impacts .
operating income of $ 321.3 decreased 25% ( 25 % ) , or $ 104.3 , and operating margin of 14.3% ( 14.3 % ) decreased 400 bp , as 2012 included a gain on the previously held equity interest in da nanomaterials of $ 85.9 .
on a non-gaap basis , operating income of $ 321.3 decreased 5% ( 5 % ) , or $ 18.4 , primarily from unfavorable price and mix impacts of $ 15 , lower volumes of $ 9 , and higher operating costs of $ 4 partially offset by higher acquisitions of $ 6 and favorable currency of $ 4 .
operating margin decreased 30 bp , primarily due to lower volumes and unfavorable price mix .
equipment and energy .

Table:
	2014	2013	2012
sales	$ 450.4	$ 451.1	$ 420.1
operating income	88.2	65.5	44.6

Post-table text:
2014 vs .
2013 sales of $ 450.4 were relatively flat as higher liquefied natural gas ( lng ) project activity was offset by lower air separation ( asu ) project activity .
operating income of $ 88.2 increased from the higher lng project activity .
the sales backlog for the equipment business at 30 september 2014 was $ 520 , compared to $ 402 at 30 september 2013 .
the increase was primarily due to new lng orders as global project development activity remains high .
it is expected that approximately $ 320 of the backlog will be completed during 2015 .
2013 vs .
2012 sales of $ 451.1 increased primarily from higher lng project activity .
operating income of $ 65.5 increased from the higher lng project activity .
the sales backlog for the equipment business at 30 september 2013 was $ 402 , compared to $ 450 at 30 september other operating income ( loss ) primarily includes other expense and income that cannot be directly associated with the business segments , including foreign exchange gains and losses .
also included are lifo inventory valuation adjustments , as the business segments use fifo , and the lifo pool valuation adjustments are not allocated to the business segments .
other also included stranded costs resulting from discontinued operations , as these costs were not reallocated to the businesses in 2012 .
2014 vs .
2013 other operating loss was $ 13.5 , compared to $ 4.7 in the prior year .
the decrease was primarily due to unfavorable foreign exchange losses of $ 5 and lifo adjustments of $ 4 .
2013 vs .
2012 other operating loss was $ 4.7 , compared to $ 6.6 in the prior year .
the other operating loss in 2013 includes an unfavorable lifo adjustment versus the prior year of $ 11 .
the other operating loss in 2012 included stranded costs from discontinued operations of $ 10. .

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"]}