[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 change in total debt to be repaid in the contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2005 between 2009 and 2008?

Pre-table text:
contractual obligations for future payments under existing debt and lease commitments and purchase obli- gations at december 31 , 2005 , were as follows : in millions 2006 2007 2008 2009 2010 thereafter .

Table:
in millions	2006	2007	2008	2009	2010	thereafter
total debt	$ 1181	$ 570	$ 308	$ 2330	$ 1534	$ 6281
lease obligations	172	144	119	76	63	138
purchase obligations ( a )	3264	393	280	240	204	1238
total	$ 4617	$ 1107	$ 707	$ 2646	$ 1801	$ 7657

Post-table text:
( a ) the 2006 amount includes $ 2.4 billion for contracts made in the ordinary course of business to purchase pulpwood , logs and wood chips .
the majority of our other purchase obligations are take-or-pay or purchase commitments made in the ordinary course of business related to raw material purchases and energy contracts .
other significant items include purchase obligations related to contracted services .
transformation plan in july 2005 , the company announced a plan to focus its business portfolio on two key global platform businesses : uncoated papers ( including distribution ) and packaging .
the plan also focuses on improving shareholder return through mill realignments in those two businesses , additional cost improvements and exploring strategic options for other businesses , includ- ing possible sale or spin-off .
in connection with this process , in the third quarter of 2005 , the company completed the sale of its 50.5% ( 50.5 % ) interest in carter holt harvey limited .
other businesses currently under re- view include : 2022 the coated and supercalendered papers busi- ness , including the coated groundwood mill and associated assets in brazil , 2022 the beverage packaging business , including the pine bluff , arkansas mill , 2022 the kraft papers business , including the roa- noke rapids , north carolina mill , 2022 arizona chemical , 2022 the wood products business , and 2022 segments or potentially all of the company 2019s 6.5 million acres of u.s .
forestlands .
consistent with this evaluation process , the com- pany has distributed bid package information for some of these businesses .
the exact timing of this evaluation process will vary by business ; however , it is anticipated that decisions will be made for some of these businesses during 2006 .
while the exact use of any proceeds from potential future sales is dependent upon various factors affecting future cash flows , such as the amount of any proceeds received and changes in market conditions , input costs and capital spending , the company remains committed to using its free cash flow in 2006 to pay down debt , to return value to shareholders , and for se- lective high-return investments .
critical accounting policies the preparation of financial statements in con- formity with generally accepted accounting principles in the united states requires international paper to estab- lish accounting policies and to make estimates that af- fect both the amounts and timing of the recording of assets , liabilities , revenues and expenses .
some of these estimates require judgments about matters that are in- herently uncertain .
accounting policies whose application may have a significant effect on the reported results of operations and financial position of international paper , and that can require judgments by management that affect their application , include sfas no .
5 , 201caccounting for contingencies , 201d sfas no .
144 , 201caccounting for the impairment or disposal of long-lived assets , 201d sfas no .
142 , 201cgoodwill and other intangible assets , 201d sfas no .
87 , 201cemployers 2019 accounting for pensions , 201d sfas no .
106 , 201cemployers 2019 accounting for postretirement benefits other than pensions , 201d as amended by sfas nos .
132 and 132r , 201cemployers 2019 disclosures about pension and other postretirement benefits , 201d and sfas no .
109 , 201caccounting for income taxes . 201d the following is a discussion of the impact of these accounting policies on international paper : contingent liabilities .
accruals for contingent li- abilities , including legal and environmental matters , are recorded when it is probable that a liability has been incurred or an asset impaired and the amount of the loss can be reasonably estimated .
liabilities accrued for legal matters require judgments regarding projected outcomes and range of loss based on historical experience and recommendations of legal counsel .
additionally , as dis- cussed in note 10 of the notes to consolidated finan- cial statements in item 8 .
financial statements and supplementary data , reserves for projected future claims settlements relating to exterior siding and roofing prod- ucts previously manufactured by masonite require judgments regarding projections of future claims rates and amounts .
international paper utilizes an in- dependent third party consultant to assist in developing these estimates .
liabilities for environmental matters require evaluations of relevant environmental regu- lations and estimates of future remediation alternatives and costs .
international paper determines these esti- mates after a detailed evaluation of each site .
impairment of long-lived assets and goodwill .
an impairment of a long-lived asset exists when the asset 2019s carrying amount exceeds its fair value , and is recorded when the carrying amount is not recoverable through future operations .
a goodwill impairment exists when the carrying amount of goodwill exceeds its fair value .
assessments of possible impairments of long-lived assets and goodwill are made when events or changes in cir- cumstances indicate that the carrying value of the asset .

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 average net sales for space systems in millions from 2013 to 2015?

Pre-table text:
2014 compared to 2013 mst 2019s net sales decreased $ 305 million , or 3% ( 3 % ) , in 2014 as compared to 2013 .
net sales decreased by approximately $ 305 million due to the wind-down or completion of certain c4isr programs ( primarily ptds ) ; about $ 85 million for undersea systems programs due to decreased volume and deliveries ; and about $ 55 million related to the settlements of contract cost matters on certain programs in 2013 that were not repeated in 2014 ( including a portion of the terminated presidential helicopter program ) .
the decreases were partially offset by higher net sales of approximately $ 80 million for integrated warfare systems and sensors programs due to increased volume ( primarily space fence ) ; and approximately $ 40 million for training and logistics solutions programs due to increased deliveries ( primarily close combat tactical trainer ) .
mst 2019s operating profit decreased $ 129 million , or 12% ( 12 % ) , in 2014 as compared to 2013 .
the decrease was primarily attributable to lower operating profit of approximately $ 120 million related to the settlements of contract cost matters on certain programs in 2013 that were not repeated in 2014 ( including a portion of the terminated presidential helicopter program ) ; approximately $ 55 million due to the reasons described above for lower c4isr program sales , as well as performance matters on an international program ; and approximately $ 45 million due to higher reserves recorded on certain training and logistics solutions programs .
the decreases were partially offset by higher operating profit of approximately $ 45 million for performance matters and reserves recorded in 2013 that were not repeated in 2014 ; and about $ 60 million for various programs due to increased risk retirements ( including mh-60 and radar surveillance programs ) .
adjustments not related to volume , including net profit booking rate adjustments and other matters , were approximately $ 85 million lower for 2014 compared to 2013 .
backlog backlog increased in 2015 compared to 2014 primarily due to the addition of sikorsky backlog , as well as higher orders on new program starts ( such as australian defence force pilot training system ) .
backlog increased in 2014 compared to 2013 primarily due to higher orders on new program starts ( such as space fence ) .
trends we expect mst 2019s 2016 net sales to increase in the mid-double digit percentage range compared to 2015 net sales due to the inclusion of sikorsky programs for a full year , partially offset by a decline in volume due to the wind-down or completion of certain programs .
operating profit is expected to be equivalent to 2015 on higher volume , and operating margin is expected to decline due to costs associated with the sikorsky acquisition , including the impact of purchase accounting adjustments , integration costs and inherited restructuring costs associated with actions committed to by sikorsky prior to acquisition .
space systems our space systems business segment is engaged in the research and development , design , engineering and production of satellites , strategic and defensive missile systems and space transportation systems .
space systems provides network-enabled situational awareness and integrates complex global systems to help our customers gather , analyze , and securely distribute critical intelligence data .
space systems is also responsible for various classified systems and services in support of vital national security systems .
space systems 2019 major programs include the trident ii d5 fleet ballistic missile ( fbm ) , orion , space based infrared system ( sbirs ) , aehf , gps-iii , geostationary operational environmental satellite r-series ( goes-r ) , and muos .
operating profit for our space systems business segment includes our share of earnings for our investment in ula , which provides expendable launch services to the u.s .
government .
space systems 2019 operating results included the following ( in millions ) : .

Table:
	2015	2014	2013
net sales	$ 9105	$ 9202	$ 9288
operating profit	1171	1187	1198
operating margins	12.9% ( 12.9 % )	12.9% ( 12.9 % )	12.9% ( 12.9 % )
backlog at year-end	$ 17400	$ 20300	$ 21400

Post-table text:
2015 compared to 2014 space systems 2019 net sales in 2015 decreased $ 97 million , or 1% ( 1 % ) , compared to 2014 .
the decrease was attributable to approximately $ 335 million lower net sales for government satellite programs due to decreased volume ( primarily aehf ) and the wind-down or completion of mission solutions programs ; and approximately $ 55 million for strategic missile and defense systems due to lower volume .
these decreases were partially offset by higher net sales of approximately $ 235 million for businesses acquired in 2014 ; and approximately $ 75 million for the orion program due to increased volume. .

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 five year total return on ball stock?

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 cash flow statement effect of the change in cash used for working capital from 2013 to 2014?

Pre-table text:
management 2019s discussion and analysis of financial condition and results of operations 2013 ( continued ) ( amounts in millions , except per share amounts ) liquidity and capital resources cash flow overview the following tables summarize key financial data relating to our liquidity , capital resources and uses of capital. .

Table:
cash flow data	years ended december 31 , 2015	years ended december 31 , 2014	years ended december 31 , 2013
net income adjusted to reconcile net income to net cashprovided by operating activities1	$ 848.2	$ 831.2	$ 598.4
net cash used in working capital2	-117.5 ( 117.5 )	-131.1 ( 131.1 )	-9.6 ( 9.6 )
changes in other non-current assets and liabilities using cash	-56.7 ( 56.7 )	-30.6 ( 30.6 )	4.1
net cash provided by operating activities	$ 674.0	$ 669.5	$ 592.9
net cash used in investing activities	-202.8 ( 202.8 )	-200.8 ( 200.8 )	-224.5 ( 224.5 )
net cash used in financing activities	-472.8 ( 472.8 )	-343.9 ( 343.9 )	-1212.3 ( 1212.3 )

Post-table text:
1 reflects net income adjusted primarily for depreciation and amortization of fixed assets and intangible assets , amortization of restricted stock and other non-cash compensation , non-cash ( gain ) loss related to early extinguishment of debt , losses on sales of businesses and deferred income taxes .
2 reflects changes in accounts receivable , expenditures billable to clients , other current assets , accounts payable and accrued liabilities .
operating activities net cash provided by operating activities during 2015 was $ 674.0 , which was an improvement of $ 4.5 as compared to 2014 , primarily as a result of an improvement in working capital usage of $ 13.6 .
due to the seasonality of our business , we typically generate cash from working capital in the second half of a year and use cash from working capital in the first half of a year , with the largest impacts in the first and fourth quarters .
our net working capital usage in 2015 was primarily attributable to our media businesses .
net cash provided by operating activities during 2014 was $ 669.5 , which was an improvement of $ 76.6 as compared to 2013 , primarily as a result of an increase in net income , offset by an increase in working capital usage of $ 121.5 .
our net working capital usage in 2014 was impacted by our media businesses .
the timing of media buying on behalf of our clients affects our working capital and operating cash flow .
in most of our businesses , our agencies enter into commitments to pay production and media costs on behalf of clients .
to the extent possible , we pay production and media charges after we have received funds from our clients .
the amounts involved substantially exceed our revenues and primarily affect the level of accounts receivable , expenditures billable to clients , accounts payable and accrued liabilities .
our assets include both cash received and accounts receivable from clients for these pass-through arrangements , while our liabilities include amounts owed on behalf of clients to media and production suppliers .
our accrued liabilities are also affected by the timing of certain other payments .
for example , while annual cash incentive awards are accrued throughout the year , they are generally paid during the first quarter of the subsequent year .
investing activities net cash used in investing activities during 2015 primarily related to payments for capital expenditures of $ 161.1 , largely attributable to purchases of leasehold improvements and computer hardware .
net cash used in investing activities during 2014 primarily related to payments for capital expenditures and acquisitions .
capital expenditures of $ 148.7 related primarily to computer hardware and software and leasehold improvements .
we made payments of $ 67.8 related to acquisitions completed during 2014 , net of cash acquired. .

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

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


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

[User]
Question:
what portion of the company owned facilities are located in the rest of the world?

Pre-table text:
item 1b .
unresolved staff comments .
item 2 .
properties .
our corporate co-headquarters are located in pittsburgh , pennsylvania and chicago , illinois .
our co-headquarters are leased and house our executive offices , certain u.s .
business units , and our administrative , finance , and human resource functions .
we maintain additional owned and leased offices throughout the regions in which we operate .
we manufacture our products in our network of manufacturing and processing facilities located throughout the world .
as of december 31 , 2016 , we operated 87 manufacturing and processing facilities .
we own 83 and lease four of these facilities .
our manufacturing and processing facilities count by segment as of december 31 , 2016 was: .

Table:
	owned	leased
united states	43	2
canada	3	2014
europe	11	2014
rest of world	26	2

Post-table text:
we maintain all of our manufacturing and processing facilities in good condition and believe they are suitable and are adequate for our present needs .
we also enter into co-manufacturing arrangements with third parties if we determine it is advantageous to outsource the production of any of our products .
in the fourth quarter of 2016 , we reorganized our segment structure to move our russia business from the rest of world segment to the europe segment .
we have reflected this change in the table above .
see note 18 , segment reporting , to the consolidated financial statements for additional information .
several of our current manufacturing and processing facilities are scheduled to be closed within the next year .
see note 3 , integration and restructuring expenses , to the consolidated financial statements for additional information .
item 3 .
legal proceedings .
we are routinely involved in legal proceedings , claims , and governmental inquiries , inspections or investigations ( 201clegal matters 201d ) arising in the ordinary course of our business .
on april 1 , 2015 , the commodity futures trading commission ( 201ccftc 201d ) filed a formal complaint against mondel 0113z international ( formerly known as kraft foods inc. ) and kraft in the u.s .
district court for the northern district of illinois , eastern division , related to activities involving the trading of december 2011 wheat futures contracts .
the complaint alleges that mondel 0113z international and kraft ( 1 ) manipulated or attempted to manipulate the wheat markets during the fall of 2011 , ( 2 ) violated position limit levels for wheat futures , and ( 3 ) engaged in non-competitive trades by trading both sides of exchange-for-physical chicago board of trade wheat contracts .
as previously disclosed by kraft , these activities arose prior to the october 1 , 2012 spin-off of kraft by mondel 0113z international to its shareholders and involve the business now owned and operated by mondel 0113z international or its affiliates .
the separation and distribution agreement between kraft and mondel 0113z international , dated as of september 27 , 2012 , governs the allocation of liabilities between mondel 0113z international and kraft and , accordingly , mondel 0113z international will predominantly bear the costs of this matter and any monetary penalties or other payments that the cftc may impose .
we do not expect this matter to have a material adverse effect on our financial condition , results of operations , or business .
while we cannot predict with certainty the results of legal matters in which we are currently involved or may in the future be involved , we do not expect that the ultimate costs to resolve any of the legal matters that are currently pending will have a material adverse effect on our financial condition or results of operations .
item 4 .
mine safety disclosures .
not applicable. .

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?

Pre-table text:
risk and insurance brokerage services .

Table:
years ended december 31,	2009	2008	2007
segment revenue	$ 6305	$ 6197	$ 5918
segment operating income	900	846	954
segment operating income margin	14.3% ( 14.3 % )	13.7% ( 13.7 % )	16.1% ( 16.1 % )

Post-table text:
during 2009 we continued to see a soft market , which began in 2007 , in our retail brokerage product line .
in 2007 , we experienced a soft market in many business lines and in many geographic areas .
in a 2018 2018soft market , 2019 2019 premium rates flatten or decrease , along with commission revenues , due to increased competition for market share among insurance carriers or increased underwriting capacity .
changes in premiums have a direct and potentially material impact on the insurance brokerage industry , as commission revenues are generally based on a percentage of the premiums paid by insureds .
prices fell throughout 2007 , with the greatest declines seen in large and middle-market accounts .
prices continued to decline during 2008 , although the rate of decline slowed toward the end of the year .
in our reinsurance brokerage product line , pricing overall during 2009 was also down , although during a portion of the year it was flat to up slightly .
additionally , beginning in late 2008 and continuing throughout 2009 , we faced difficult conditions as a result of unprecedented disruptions in the global economy , the repricing of credit risk and the deterioration of the financial markets .
continued volatility and further deterioration in the credit markets have reduced our customers 2019 demand for our retail brokerage and reinsurance brokerage products , which have negatively hurt our operational results .
in addition , overall capacity in the industry could decrease if a significant insurer either fails or withdraws from writing insurance coverages that we offer our clients .
this failure could reduce our revenues and profitability , since we would no longer have access to certain lines and types of insurance .
risk and insurance brokerage services generated approximately 83% ( 83 % ) of our consolidated total revenues in 2009 .
revenues are generated primarily through fees paid by clients , commissions and fees paid by insurance and reinsurance companies , and investment income on funds held on behalf of clients .
our revenues vary from quarter to quarter throughout the year as a result of the timing of our clients 2019 policy renewals , the net effect of new and lost business , the timing of services provided to our clients , and the income we earn on investments , which is heavily influenced by short-term interest rates .
we operate in a highly competitive industry and compete with many retail insurance brokerage and agency firms , as well as with individual brokers , agents , and direct writers of insurance coverage .
specifically , we address the highly specialized product development and risk management needs of commercial enterprises , professional groups , insurance companies , governments , healthcare providers , and non-profit groups , among others ; provide affinity products for professional liability , life , disability income , and personal lines for individuals , associations , and businesses ; provide reinsurance services to insurance and reinsurance companies and other risk assumption entities by acting as brokers or intermediaries on all classes of reinsurance ; provide investment banking products and services , including mergers and acquisitions and other financial advisory services , capital raising , contingent capital financing , insurance-linked securitizations and derivative applications ; provide managing underwriting to independent agents and brokers as well as corporate clients ; provide actuarial , loss prevention , and administrative services to businesses and consumers ; and manage captive insurance companies .
in november 2008 we expanded our product offerings through the merger with benfield , a leading independent reinsurance intermediary .
benfield products have been integrated with our existing reinsurance products in 2009 .
in february 2009 , we completed the sale of the u.s .
operations of cananwill , our premium finance business .
in june and july of 2009 , we entered into agreements with third parties with respect to our .

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
)
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 millions in 2014 , 2013 , and 2012 , what was the greatest amount of hedged borrowings and bank deposits?

Pre-table text:
notes to consolidated financial statements hedge accounting the firm applies hedge accounting for ( i ) certain interest rate swaps used to manage the interest rate exposure of certain fixed-rate unsecured long-term and short-term borrowings and certain fixed-rate certificates of deposit , ( ii ) certain foreign currency forward contracts and foreign currency-denominated debt used to manage foreign currency exposures on the firm 2019s net investment in certain non-u.s .
operations and ( iii ) certain commodities-related swap and forward contracts used to manage the exposure to the variability in cash flows associated with the forecasted sales of certain energy commodities by one of the firm 2019s consolidated investments .
to qualify for hedge accounting , the derivative hedge must be highly effective at reducing the risk from the exposure being hedged .
additionally , the firm must formally document the hedging relationship at inception and test the hedging relationship at least on a quarterly basis to ensure the derivative hedge continues to be highly effective over the life of the hedging relationship .
fair value hedges the firm designates certain interest rate swaps as fair value hedges .
these interest rate swaps hedge changes in fair value attributable to the designated benchmark interest rate ( e.g. , london interbank offered rate ( libor ) or ois ) , effectively converting a substantial portion of fixed-rate obligations into floating-rate obligations .
the firm applies a statistical method that utilizes regression analysis when assessing the effectiveness of its fair value hedging relationships in achieving offsetting changes in the fair values of the hedging instrument and the risk being hedged ( i.e. , interest rate risk ) .
an interest rate swap is considered highly effective in offsetting changes in fair value attributable to changes in the hedged risk when the regression analysis results in a coefficient of determination of 80% ( 80 % ) or greater and a slope between 80% ( 80 % ) and 125% ( 125 % ) .
for qualifying fair value hedges , gains or losses on derivatives are included in 201cinterest expense . 201d the change in fair value of the hedged item attributable to the risk being hedged is reported as an adjustment to its carrying value and is subsequently amortized into interest expense over its remaining life .
gains or losses resulting from hedge ineffectiveness are included in 201cinterest expense . 201d when a derivative is no longer designated as a hedge , any remaining difference between the carrying value and par value of the hedged item is amortized to interest expense over the remaining life of the hedged item using the effective interest method .
see note 23 for further information about interest income and interest expense .
the table below presents the gains/ ( losses ) from interest rate derivatives accounted for as hedges , the related hedged borrowings and bank deposits , and the hedge ineffectiveness on these derivatives , which primarily consists of amortization of prepaid credit spreads resulting from the passage of time. .

Table:
$ in millions	year ended december 2014	year ended december 2013	year ended december 2012
interest rate hedges	$ 1936	$ -8683 ( 8683 )	$ -2383 ( 2383 )
hedged borrowings and bank deposits	-2451 ( 2451 )	6999	665
hedge ineffectiveness	$ -515 ( 515 )	$ -1684 ( 1684 )	$ -1718 ( 1718 )

Post-table text:
134 goldman sachs 2014 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"]}

table_max(
hedged borrowings and bank deposits
)
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 growth of the aggregate fair values of our outstanding fuel hedge for 2014 to 2015

Pre-table text:
republic services , inc .
notes to consolidated financial statements 2014 ( continued ) 16 .
financial instruments fuel hedges we have entered into multiple swap agreements designated as cash flow hedges to mitigate some of our exposure related to changes in diesel fuel prices .
these swaps qualified for , and were designated as , effective hedges of changes in the prices of forecasted diesel fuel purchases ( fuel hedges ) .
the following table summarizes our outstanding fuel hedges as of december 31 , 2015 : year gallons hedged weighted average contract price per gallon .

Table:
year	gallons hedged	weighted average contractprice per gallon
2016	27000000	$ 3.57
2017	12000000	2.92

Post-table text:
if the national u.s .
on-highway average price for a gallon of diesel fuel as published by the department of energy exceeds the contract price per gallon , we receive the difference between the average price and the contract price ( multiplied by the notional gallons ) from the counterparty .
if the average price is less than the contract price per gallon , we pay the difference to the counterparty .
the fair values of our fuel hedges are determined using standard option valuation models with assumptions about commodity prices based on those observed in underlying markets ( level 2 in the fair value hierarchy ) .
the aggregate fair values of our outstanding fuel hedges as of december 31 , 2015 and 2014 were current liabilities of $ 37.8 million and $ 34.4 million , respectively , and have been recorded in other accrued liabilities in our consolidated balance sheets .
the ineffective portions of the changes in fair values resulted in a loss of $ 0.4 million and $ 0.5 million for the years ended december 31 , 2015 and 2014 respectively , and a gain of less than $ 0.1 million for the year ended december 31 , 2013 , and have been recorded in other income , net in our consolidated statements of income .
total ( loss ) gain recognized in other comprehensive ( loss ) income for fuel hedges ( the effective portion ) was $ ( 2.0 ) million , $ ( 24.2 ) million and $ 2.4 million , for the years ended december 31 , 2015 , 2014 and 2013 , respectively .
recycling commodity hedges revenue from the sale of recycled commodities is primarily from sales of old corrugated cardboard and old newspaper .
from time to time we use derivative instruments such as swaps and costless collars designated as cash flow hedges to manage our exposure to changes in prices of these commodities .
we had no outstanding recycling commodity hedges as of december 31 , 2015 and 2014 .
no amounts were recognized in other income , net in our consolidated statements of income for the ineffective portion of the changes in fair values during the years ended december 31 , 2015 , 2014 and 2013 .
total gain ( loss ) recognized in other comprehensive income for recycling commodity hedges ( the effective portion ) was $ 0.1 million and $ ( 0.1 ) million for the years ended december 31 , 2014 and 2013 , respectively .
no amount was recognized in other comprehensive income for 2015 .
fair value measurements in measuring fair values of assets and liabilities , we use valuation techniques that maximize the use of observable inputs ( level 1 ) and minimize the use of unobservable inputs ( level 3 ) .
we also use market data or assumptions that we believe market participants would use in pricing an asset or liability , including assumptions about risk when appropriate. .

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 2005 what was the ratio of the breast implant receivables to the breast implant liabilities

Pre-table text:
the following table shows the major categories of ongoing claims for which the company has been able to estimate its probable liability and for which the company has taken reserves and the related insurance receivables : at december 31 .

Table:
( millions )	2005	2004	2003
breast implant liabilities	$ 7	$ 11	$ 13
breast implant receivables	130	278	338
respirator mask/asbestos liabilities	210	248	289
respirator mask/asbestos receivables	447	464	448
environmental remediation liabilities	30	39	41
environmental remediation receivables	15	16	16

Post-table text:
for those significant pending legal proceedings that do not appear in the table and that are not the subject of pending settlement agreements , the company has determined that liability is not probable or the amount of the liability is not estimable , or both , and the company is unable to estimate the possible loss or range of loss at this time .
the amounts in the preceding table with respect to breast implant and environmental remediation represent the company 2019s best estimate of the respective liabilities .
the company has recorded liabilities with respect to the two pending transparent tape antitrust class action settlements .
breast implant insurance receivables : as of december 31 , 2005 , the company had receivables for insurance recoveries related to the breast implant matter of $ 130 million , representing amounts covered by the minnesota supreme court 2019s ruling of august 2003 but yet to be received and other amounts that have been claimed from various reinsurers , the minnesota insurance guaranty association , and the estates of certain insolvent insurance carriers .
the company received about $ 92 million in the fourth quarter of 2005 ( bringing total recoveries in 2005 to $ 148 million ) , offsetting a portion of the previously recorded receivable , pursuant to settlements with seven insurers and one reinsurer that were consistent with the company 2019s overall expectation of recovery as a result of the minnesota supreme court ruling .
with these recent settlements and the previously disclosed settlements , 17 of the 29 insurers have withdrawn from the pending proceedings and have settled the company 2019s claims under the minnesota supreme court decision .
various factors could affect the timing and amount of recovery of the balance of the company 2019s insurance receivables , including ( i ) additional delays in or avoidance of payment by insurers ; ( ii ) the extent to which insurers may become insolvent in the future , and ( iii ) the outcome of the pending legal proceedings involving the insurers .
respirator mask/asbestos liabilities and insurance receivables : the company estimates its respirator mask/asbestos liabilities , including the cost to resolve the claim and defense costs , by examining : ( i ) the company 2019s experience in resolving claims , ( ii ) apparent trends , ( iii ) the apparent quality of claims ( e.g. , the company believes many of the claims have been asserted on behalf of asymptomatic claimants ) , ( iv ) changes in the nature and mix of claims ( e.g. , the proportion of claims asserting usage of the company 2019s mask or respirator products and alleging exposure to each of asbestos , silica or other occupational dusts , and claims pleading use of asbestos-containing products allegedly manufactured by the company ) , ( v ) the number of current claims and a projection of the number of future asbestos and other claims that may be filed against the company , ( vi ) the cost to resolve recently settled claims , and ( vii ) an estimate of the cost to resolve and defend against current and future claims .
because of the inherent difficulty in projecting the number of claims that have not yet been asserted , particularly with respect to the company's respiratory products that themselves did not contain any harmful materials ( which makes the various published studies that purport to project future asbestos claims substantially removed from the company's principal experience and which themselves vary widely ) , the company does not believe that there is any single best estimate of this liability , nor that it can reliably estimate the amount or range of amounts by which the liability may exceed the reserve the company has established .
no liability has been recorded regarding the pending action brought by the west virginia attorney general previously described .
developments may occur that could affect the company 2019s estimate of its liabilities .
these developments include , but are not limited to , significant changes in ( i ) the number of future claims , ( ii ) the average cost of resolving claims , ( iii ) the legal costs of defending these claims and in maintaining trial readiness , ( iv ) changes in the mix and nature of claims received , ( v ) trial and appellate outcomes , ( vi ) changes in the law and procedure applicable to these claims , and ( vii ) the financial viability of other co-defendants and insurers .
congress is currently considering legislation that would terminate essentially all litigation related to asbestos ( but not other occupational dusts ) in exchange for substantial annual payments by the defendant companies and their insurers and , accordingly , such legislation , if enacted , would bring considerable certainty to the assessment of the company's future asbestos-related liability ; 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 percentage of total market risk for positions , accounted for at fair value , that are not included in var is comprised of equity in 2017?

Pre-table text:
the goldman sachs group , inc .
and subsidiaries management 2019s discussion and analysis sensitivity measures certain portfolios and individual positions are not included in var because var is not the most appropriate risk measure .
other sensitivity measures we use to analyze market risk are described below .
10% ( 10 % ) sensitivity measures .
the table below presents market risk for positions , accounted for at fair value , that are not included in var by asset category. .

Table:
$ in millions	as of december 2017	as of december 2016	as of december 2015
equity	$ 2096	$ 2085	$ 2157
debt	1606	1702	1479
total	$ 3702	$ 3787	$ 3636

Post-table text:
in the table above : 2030 the market risk of these positions is determined by estimating the potential reduction in net revenues of a 10% ( 10 % ) decline in the value of these positions .
2030 equity positions relate to private and restricted public equity securities , including interests in funds that invest in corporate equities and real estate and interests in hedge funds .
2030 debt positions include interests in funds that invest in corporate mezzanine and senior debt instruments , loans backed by commercial and residential real estate , corporate bank loans and other corporate debt , including acquired portfolios of distressed loans .
2030 equity and debt funded positions are included in our consolidated statements of financial condition in financial instruments owned .
see note 6 to the consolidated financial statements for further information about cash instruments .
2030 these measures do not reflect the diversification effect across asset categories or across other market risk measures .
credit spread sensitivity on derivatives and financial liabilities .
var excludes the impact of changes in counterparty and our own credit spreads on derivatives , as well as changes in our own credit spreads ( debt valuation adjustment ) on financial liabilities for which the fair value option was elected .
the estimated sensitivity to a one basis point increase in credit spreads ( counterparty and our own ) on derivatives was a gain of $ 3 million and $ 2 million ( including hedges ) as of december 2017 and december 2016 , respectively .
in addition , the estimated sensitivity to a one basis point increase in our own credit spreads on financial liabilities for which the fair value option was elected was a gain of $ 35 million and $ 25 million as of december 2017 and december 2016 , respectively .
however , the actual net impact of a change in our own credit spreads is also affected by the liquidity , duration and convexity ( as the sensitivity is not linear to changes in yields ) of those financial liabilities for which the fair value option was elected , as well as the relative performance of any hedges undertaken .
interest rate sensitivity .
loans receivable as of december 2017 and december 2016 were $ 65.93 billion and $ 49.67 billion , respectively , substantially all of which had floating interest rates .
as of december 2017 and december 2016 , the estimated sensitivity to a 100 basis point increase in interest rates on such loans was $ 527 million and $ 405 million , respectively , of additional interest income over a twelve-month period , which does not take into account the potential impact of an increase in costs to fund such loans .
see note 9 to the consolidated financial statements for further information about loans receivable .
other market risk considerations as of december 2017 and december 2016 , we had commitments and held loans for which we have obtained credit loss protection from sumitomo mitsui financial group , inc .
see note 18 to the consolidated financial statements for further information about such lending commitments .
in addition , we make investments in securities that are accounted for as available-for-sale and included in financial instruments owned in the consolidated statements of financial condition .
see note 6 to the consolidated financial statements for further information .
we also make investments accounted for under the equity method and we also make direct investments in real estate , both of which are included in other assets .
direct investments in real estate are accounted for at cost less accumulated depreciation .
see note 13 to the consolidated financial statements for further information about other assets .
goldman sachs 2017 form 10-k 93 .

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

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


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

[User]
Question:
what percent of total operating income was asia-pacific in 2015?

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

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

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

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

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


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

[User]
Question:
what was the average backlog at year-end from 2013 to 2015

Pre-table text:
2014 compared to 2013 mst 2019s net sales decreased $ 305 million , or 3% ( 3 % ) , in 2014 as compared to 2013 .
net sales decreased by approximately $ 305 million due to the wind-down or completion of certain c4isr programs ( primarily ptds ) ; about $ 85 million for undersea systems programs due to decreased volume and deliveries ; and about $ 55 million related to the settlements of contract cost matters on certain programs in 2013 that were not repeated in 2014 ( including a portion of the terminated presidential helicopter program ) .
the decreases were partially offset by higher net sales of approximately $ 80 million for integrated warfare systems and sensors programs due to increased volume ( primarily space fence ) ; and approximately $ 40 million for training and logistics solutions programs due to increased deliveries ( primarily close combat tactical trainer ) .
mst 2019s operating profit decreased $ 129 million , or 12% ( 12 % ) , in 2014 as compared to 2013 .
the decrease was primarily attributable to lower operating profit of approximately $ 120 million related to the settlements of contract cost matters on certain programs in 2013 that were not repeated in 2014 ( including a portion of the terminated presidential helicopter program ) ; approximately $ 55 million due to the reasons described above for lower c4isr program sales , as well as performance matters on an international program ; and approximately $ 45 million due to higher reserves recorded on certain training and logistics solutions programs .
the decreases were partially offset by higher operating profit of approximately $ 45 million for performance matters and reserves recorded in 2013 that were not repeated in 2014 ; and about $ 60 million for various programs due to increased risk retirements ( including mh-60 and radar surveillance programs ) .
adjustments not related to volume , including net profit booking rate adjustments and other matters , were approximately $ 85 million lower for 2014 compared to 2013 .
backlog backlog increased in 2015 compared to 2014 primarily due to the addition of sikorsky backlog , as well as higher orders on new program starts ( such as australian defence force pilot training system ) .
backlog increased in 2014 compared to 2013 primarily due to higher orders on new program starts ( such as space fence ) .
trends we expect mst 2019s 2016 net sales to increase in the mid-double digit percentage range compared to 2015 net sales due to the inclusion of sikorsky programs for a full year , partially offset by a decline in volume due to the wind-down or completion of certain programs .
operating profit is expected to be equivalent to 2015 on higher volume , and operating margin is expected to decline due to costs associated with the sikorsky acquisition , including the impact of purchase accounting adjustments , integration costs and inherited restructuring costs associated with actions committed to by sikorsky prior to acquisition .
space systems our space systems business segment is engaged in the research and development , design , engineering and production of satellites , strategic and defensive missile systems and space transportation systems .
space systems provides network-enabled situational awareness and integrates complex global systems to help our customers gather , analyze , and securely distribute critical intelligence data .
space systems is also responsible for various classified systems and services in support of vital national security systems .
space systems 2019 major programs include the trident ii d5 fleet ballistic missile ( fbm ) , orion , space based infrared system ( sbirs ) , aehf , gps-iii , geostationary operational environmental satellite r-series ( goes-r ) , and muos .
operating profit for our space systems business segment includes our share of earnings for our investment in ula , which provides expendable launch services to the u.s .
government .
space systems 2019 operating results included the following ( in millions ) : .

Table:
	2015	2014	2013
net sales	$ 9105	$ 9202	$ 9288
operating profit	1171	1187	1198
operating margins	12.9% ( 12.9 % )	12.9% ( 12.9 % )	12.9% ( 12.9 % )
backlog at year-end	$ 17400	$ 20300	$ 21400

Post-table text:
2015 compared to 2014 space systems 2019 net sales in 2015 decreased $ 97 million , or 1% ( 1 % ) , compared to 2014 .
the decrease was attributable to approximately $ 335 million lower net sales for government satellite programs due to decreased volume ( primarily aehf ) and the wind-down or completion of mission solutions programs ; and approximately $ 55 million for strategic missile and defense systems due to lower volume .
these decreases were partially offset by higher net sales of approximately $ 235 million for businesses acquired in 2014 ; and approximately $ 75 million for the orion program due to increased volume. .

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 the total oil and gas mmboe comes from canada?

Pre-table text:
the acquisition date is on or after the beginning of the first annual reporting period beginning on or after december 15 , 2008 .
we will evaluate how the new requirements of statement no .
141 ( r ) would impact any business combinations completed in 2009 or thereafter .
in december 2007 , the fasb also issued statement of financial accounting standards no .
160 , noncontrolling interests in consolidated financial statements 2014an amendment of accounting research bulletin no .
51 .
a noncontrolling interest , sometimes called a minority interest , is the portion of equity in a subsidiary not attributable , directly or indirectly , to a parent .
statement no .
160 establishes accounting and reporting standards for the noncontrolling interest in a subsidiary and for the deconsolidation of a subsidiary .
under statement no .
160 , noncontrolling interests in a subsidiary must be reported as a component of consolidated equity separate from the parent 2019s equity .
additionally , the amounts of consolidated net income attributable to both the parent and the noncontrolling interest must be reported separately on the face of the income statement .
statement no .
160 is effective for fiscal years beginning on or after december 15 , 2008 and earlier adoption is prohibited .
we do not expect the adoption of statement no .
160 to have a material impact on our financial statements and related disclosures .
2008 estimates the forward-looking statements provided in this discussion are based on our examination of historical operating trends , the information that was used to prepare the december 31 , 2007 reserve reports and other data in our possession or available from third parties .
these forward-looking statements were prepared assuming demand , curtailment , producibility and general market conditions for our oil , natural gas and ngls during 2008 will be substantially similar to those of 2007 , unless otherwise noted .
we make reference to the 201cdisclosure regarding forward-looking statements 201d at the beginning of this report .
amounts related to canadian operations have been converted to u.s .
dollars using a projected average 2008 exchange rate of $ 0.98 u.s .
dollar to $ 1.00 canadian dollar .
in january 2007 , we announced our intent to divest our west african oil and gas assets and terminate our operations in west africa , including equatorial guinea , cote d 2019ivoire , gabon and other countries in the region .
in november 2007 , we announced an agreement to sell our operations in gabon for $ 205.5 million .
we are finalizing purchase and sales agreements and obtaining the necessary partner and government approvals for the remaining properties in this divestiture package .
we are optimistic we can complete these sales during the first half of 2008 .
all west african related revenues , expenses and capital will be reported as discontinued operations in our 2008 financial statements .
accordingly , all forward-looking estimates in the following discussion exclude amounts related to our operations in west africa , unless otherwise noted .
though we have completed several major property acquisitions and dispositions in recent years , these transactions are opportunity driven .
thus , the following forward-looking estimates do not include any financial and operating effects of potential property acquisitions or divestitures that may occur during 2008 , except for west africa as previously discussed .
oil , gas and ngl production set forth below are our estimates of oil , gas and ngl production for 2008 .
we estimate that our combined 2008 oil , gas and ngl production will total approximately 240 to 247 mmboe .
of this total , approximately 92% ( 92 % ) is estimated to be produced from reserves classified as 201cproved 201d at december 31 , 2007 .
the following estimates for oil , gas and ngl production are calculated at the midpoint of the estimated range for total production .
oil gas ngls total ( mmbbls ) ( bcf ) ( mmbbls ) ( mmboe ) .

Table:
	oil ( mmbbls )	gas ( bcf )	ngls ( mmbbls )	total ( mmboe )
u.s . onshore	12	626	23	140
u.s . offshore	8	68	1	20
canada	23	198	4	60
international	23	2	2014	23
total	66	894	28	243

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 percent of the impairment charges to the net revenue in 2013

Pre-table text:
item 7 .
management 2019s discussion and analysis of financial condition and results of operations our management 2019s discussion and analysis of financial condition and results of operations ( md&a ) is provided in addition to the accompanying consolidated financial statements and notes to assist readers in understanding our results of operations , financial condition , and cash flows .
md&a is organized as follows : 2022 overview .
discussion of our business and overall analysis of financial and other highlights affecting the company in order to provide context for the remainder of md&a .
2022 critical accounting estimates .
accounting estimates that we believe are most important to understanding the assumptions and judgments incorporated in our reported financial results and forecasts .
2022 results of operations .
an analysis of our financial results comparing 2013 to 2012 and comparing 2012 to 2022 liquidity and capital resources .
an analysis of changes in our balance sheets and cash flows , and discussion of our financial condition and potential sources of liquidity .
2022 fair value of financial instruments .
discussion of the methodologies used in the valuation of our financial instruments .
2022 contractual obligations and off-balance-sheet arrangements .
overview of contractual obligations , contingent liabilities , commitments , and off-balance-sheet arrangements outstanding as of december 28 , 2013 , including expected payment schedule .
the various sections of this md&a contain a number of forward-looking statements that involve a number of risks and uncertainties .
words such as 201canticipates , 201d 201cexpects , 201d 201cintends , 201d 201cplans , 201d 201cbelieves , 201d 201cseeks , 201d 201cestimates , 201d 201ccontinues , 201d 201cmay , 201d 201cwill , 201d 201cshould , 201d and variations of such words and similar expressions are intended to identify such forward-looking statements .
in addition , any statements that refer to projections of our future financial performance , our anticipated growth and trends in our businesses , uncertain events or assumptions , and other characterizations of future events or circumstances are forward-looking statements .
such statements are based on our current expectations and could be affected by the uncertainties and risk factors described throughout this filing and particularly in 201crisk factors 201d in part i , item 1a of this form 10-k .
our actual results may differ materially , and these forward-looking statements do not reflect the potential impact of any divestitures , mergers , acquisitions , or other business combinations that had not been completed as of february 14 , 2014 .
overview our results of operations for each period were as follows: .

Table:
( dollars in millions except per share amounts )	three months ended dec . 282013	three months ended sept . 282013	three months ended change	three months ended dec . 282013	three months ended dec . 292012	change
net revenue	$ 13834	$ 13483	$ 351	$ 52708	$ 53341	$ -633 ( 633 )
gross margin	$ 8571	$ 8414	$ 157	$ 31521	$ 33151	$ -1630 ( 1630 )
gross margin percentage	62.0% ( 62.0 % )	62.4% ( 62.4 % )	( 0.4 ) % (  % )	59.8% ( 59.8 % )	62.1% ( 62.1 % )	( 2.3 ) % (  % )
operating income	$ 3549	$ 3504	$ 45	$ 12291	$ 14638	$ -2347 ( 2347 )
net income	$ 2625	$ 2950	$ -325 ( 325 )	$ 9620	$ 11005	$ -1385 ( 1385 )
diluted earnings per common share	$ 0.51	$ 0.58	$ -0.07 ( 0.07 )	$ 1.89	$ 2.13	$ -0.24 ( 0.24 )

Post-table text:
revenue for 2013 was down 1% ( 1 % ) from 2012 .
pccg experienced lower platform unit sales in the first half of the year , but saw offsetting growth in the back half as the pc market began to show signs of stabilization .
dcg continued to benefit from the build out of internet cloud computing and the strength of our product portfolio resulting in increased platform volumes for dcg for the year .
higher factory start-up costs for our next-generation 14nm process technology led to a decrease in gross margin compared to 2012 .
in response to the current business environment and to better align resources , management approved several restructuring actions including targeted workforce reductions as well as the exit of certain businesses and facilities .
these actions resulted in restructuring and asset impairment charges of $ 240 million for 2013 .
table of contents .

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

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


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

[User]
Question:
what was the total net change in net fair value of derivatives outstanding at between 2007 and 2008 in thousands?

Pre-table text:
oneok partners 2019 commodity price risk is estimated as a hypothetical change in the price of ngls , crude oil and natural gas at december 31 , 2008 , excluding the effects of hedging and assuming normal operating conditions .
oneok partners 2019 condensate sales are based on the price of crude oil .
oneok partners estimates the following : 2022 a $ 0.01 per gallon decrease in the composite price of ngls would decrease annual net margin by approximately $ 1.2 million ; 2022 a $ 1.00 per barrel decrease in the price of crude oil would decrease annual net margin by approximately $ 1.0 million ; and 2022 a $ 0.10 per mmbtu decrease in the price of natural gas would decrease annual net margin by approximately $ 0.6 million .
the above estimates of commodity price risk do not include any effects on demand for its services that might be caused by , or arise in conjunction with , price changes .
for example , a change in the gross processing spread may cause a change in the amount of ethane extracted from the natural gas stream , impacting gathering and processing margins , ngl exchange revenues , natural gas deliveries , and ngl volumes shipped and fractionated .
oneok partners is also exposed to commodity price risk primarily as a result of ngls in storage , the relative values of the various ngl products to each other , the relative value of ngls to natural gas and the relative value of ngl purchases at one location and sales at another location , known as basis risk .
oneok partners utilizes fixed-price physical forward contracts to reduce earnings volatility related to ngl price fluctuations .
oneok partners has not entered into any financial instruments with respect to its ngl marketing activities .
in addition , oneok partners is exposed to commodity price risk as its natural gas interstate and intrastate pipelines collect natural gas from its customers for operations or as part of its fee for services provided .
when the amount of natural gas consumed in operations by these pipelines differs from the amount provided by its customers , the pipelines must buy or sell natural gas , or store or use natural gas from inventory , which exposes oneok partners to commodity price risk .
at december 31 , 2008 , there were no hedges in place with respect to natural gas price risk from oneok partners 2019 natural gas pipeline business .
distribution our distribution segment uses derivative instruments to hedge the cost of anticipated natural gas purchases during the winter heating months to protect their customers from upward volatility in the market price of natural gas .
gains or losses associated with these derivative instruments are included in , and recoverable through , the monthly purchased gas cost mechanism .
energy services our energy services segment is exposed to commodity price risk , basis risk and price volatility arising from natural gas in storage , requirement contracts , asset management contracts and index-based purchases and sales of natural gas at various market locations .
we minimize the volatility of our exposure to commodity price risk through the use of derivative instruments , which , under certain circumstances , are designated as cash flow or fair value hedges .
we are also exposed to commodity price risk from fixed-price purchases and sales of natural gas , which we hedge with derivative instruments .
both the fixed-price purchases and sales and related derivatives are recorded at fair value .
fair value component of the energy marketing and risk management assets and liabilities - the following table sets forth the fair value component of the energy marketing and risk management assets and liabilities , excluding $ 21.0 million of net liabilities from derivative instruments declared as either fair value or cash flow hedges. .

Table:
	( thousands of dollars )
net fair value of derivatives outstanding at december 31 2007	$ 25171
derivatives reclassified or otherwise settled during the period	-55874 ( 55874 )
fair value of new derivatives entered into during the period	236772
other changes in fair value	52731
net fair value of derivatives outstanding at december 31 2008 ( a )	$ 258800

Post-table text:
( a ) - the maturiti es of derivatives are based on inject ion and withdrawal periods from april through m arc h , which is consistent with our business s trategy .
the maturities are as fol lows : $ 225.0 mi llion matures through march 2009 , $ 33.9 mi llion matures through march 2012 and $ ( 0.1 ) mil lion matures through march 2014 .
fair v alue com ponent of energy m arketing and risk m anagement assets and liabili ti es .

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

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


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

[User]
Question:
what was the average net revenue between 2016 and 2017 in millions

Pre-table text:
entergy arkansas , inc .
and subsidiaries management 2019s financial discussion and analysis results of operations net income 2017 compared to 2016 net income decreased $ 27.4 million primarily due to higher nuclear refueling outage expenses , higher depreciation and amortization expenses , higher taxes other than income taxes , and higher interest expense , partially offset by higher other income .
2016 compared to 2015 net income increased $ 92.9 million primarily due to higher net revenue and lower other operation and maintenance expenses , partially offset by a higher effective income tax rate and higher depreciation and amortization expenses .
net revenue 2017 compared to 2016 net revenue consists of operating revenues net of : 1 ) fuel , fuel-related expenses , and gas purchased for resale , 2 ) purchased power expenses , and 3 ) other regulatory charges ( credits ) . a0 a0following is an analysis of the change in net revenue comparing 2017 to 2016 .
amount ( in millions ) .

Table:
	amount ( in millions )
2016 net revenue	$ 1520.5
retail electric price	33.8
opportunity sales	5.6
asset retirement obligation	-14.8 ( 14.8 )
volume/weather	-29.0 ( 29.0 )
other	6.5
2017 net revenue	$ 1522.6

Post-table text:
the retail electric price variance is primarily due to the implementation of formula rate plan rates effective with the first billing cycle of january 2017 and an increase in base rates effective february 24 , 2016 , each as approved by the apsc .
a significant portion of the base rate increase was related to the purchase of power block 2 of the union power station in march 2016 .
the increase was partially offset by decreases in the energy efficiency rider , as approved by the apsc , effective april 2016 and january 2017 .
see note 2 to the financial statements for further discussion of the rate case and formula rate plan filings .
see note 14 to the financial statements for further discussion of the union power station purchase .
the opportunity sales variance results from the estimated net revenue effect of the 2017 and 2016 ferc orders in the opportunity sales proceeding attributable to wholesale customers .
see note 2 to the financial statements for further discussion of the opportunity sales proceeding. .

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

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


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

[User]
Question:
what was the percentage change in net fair value of derivatives outstanding at between 2007 and 2008 in thousands?

Pre-table text:
oneok partners 2019 commodity price risk is estimated as a hypothetical change in the price of ngls , crude oil and natural gas at december 31 , 2008 , excluding the effects of hedging and assuming normal operating conditions .
oneok partners 2019 condensate sales are based on the price of crude oil .
oneok partners estimates the following : 2022 a $ 0.01 per gallon decrease in the composite price of ngls would decrease annual net margin by approximately $ 1.2 million ; 2022 a $ 1.00 per barrel decrease in the price of crude oil would decrease annual net margin by approximately $ 1.0 million ; and 2022 a $ 0.10 per mmbtu decrease in the price of natural gas would decrease annual net margin by approximately $ 0.6 million .
the above estimates of commodity price risk do not include any effects on demand for its services that might be caused by , or arise in conjunction with , price changes .
for example , a change in the gross processing spread may cause a change in the amount of ethane extracted from the natural gas stream , impacting gathering and processing margins , ngl exchange revenues , natural gas deliveries , and ngl volumes shipped and fractionated .
oneok partners is also exposed to commodity price risk primarily as a result of ngls in storage , the relative values of the various ngl products to each other , the relative value of ngls to natural gas and the relative value of ngl purchases at one location and sales at another location , known as basis risk .
oneok partners utilizes fixed-price physical forward contracts to reduce earnings volatility related to ngl price fluctuations .
oneok partners has not entered into any financial instruments with respect to its ngl marketing activities .
in addition , oneok partners is exposed to commodity price risk as its natural gas interstate and intrastate pipelines collect natural gas from its customers for operations or as part of its fee for services provided .
when the amount of natural gas consumed in operations by these pipelines differs from the amount provided by its customers , the pipelines must buy or sell natural gas , or store or use natural gas from inventory , which exposes oneok partners to commodity price risk .
at december 31 , 2008 , there were no hedges in place with respect to natural gas price risk from oneok partners 2019 natural gas pipeline business .
distribution our distribution segment uses derivative instruments to hedge the cost of anticipated natural gas purchases during the winter heating months to protect their customers from upward volatility in the market price of natural gas .
gains or losses associated with these derivative instruments are included in , and recoverable through , the monthly purchased gas cost mechanism .
energy services our energy services segment is exposed to commodity price risk , basis risk and price volatility arising from natural gas in storage , requirement contracts , asset management contracts and index-based purchases and sales of natural gas at various market locations .
we minimize the volatility of our exposure to commodity price risk through the use of derivative instruments , which , under certain circumstances , are designated as cash flow or fair value hedges .
we are also exposed to commodity price risk from fixed-price purchases and sales of natural gas , which we hedge with derivative instruments .
both the fixed-price purchases and sales and related derivatives are recorded at fair value .
fair value component of the energy marketing and risk management assets and liabilities - the following table sets forth the fair value component of the energy marketing and risk management assets and liabilities , excluding $ 21.0 million of net liabilities from derivative instruments declared as either fair value or cash flow hedges. .

Table:
	( thousands of dollars )
net fair value of derivatives outstanding at december 31 2007	$ 25171
derivatives reclassified or otherwise settled during the period	-55874 ( 55874 )
fair value of new derivatives entered into during the period	236772
other changes in fair value	52731
net fair value of derivatives outstanding at december 31 2008 ( a )	$ 258800

Post-table text:
( a ) - the maturiti es of derivatives are based on inject ion and withdrawal periods from april through m arc h , which is consistent with our business s trategy .
the maturities are as fol lows : $ 225.0 mi llion matures through march 2009 , $ 33.9 mi llion matures through march 2012 and $ ( 0.1 ) mil lion matures through march 2014 .
fair v alue com ponent of energy m arketing and risk m anagement assets and liabili ti es .

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 of the additions in comparison with the growth of the deductions during 2003 and 2004?

Pre-table text:
federal realty investment trust schedule iii summary of real estate and accumulated depreciation 2014continued three years ended december 31 , 2005 reconciliation of accumulated depreciation and amortization .

Table:
balance december 31 2002	$ 450697000
additions during period 2014depreciation and amortization expense	68125000
deductions during period 2014disposition and retirements of property	-4645000 ( 4645000 )
balance december 31 2003	514177000
additions during period 2014depreciation and amortization expense	82551000
deductions during period 2014disposition and retirements of property	-1390000 ( 1390000 )
balance december 31 2004	595338000
additions during period 2014depreciation and amortization expense	83656000
deductions during period 2014disposition and retirements of property	-15244000 ( 15244000 )
balance december 31 2005	$ 663750000

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:
5 development costs incurred during the period 1654 1251 1030

Pre-table text:
supplementary information on oil and gas producing activities ( unaudited ) c o n t i n u e d summary of changes in standardized measure of discounted future net cash flows relating to proved oil and gas reserves ( in millions ) 2007 2006 2005 sales and transfers of oil and gas produced , net of production , transportation and administrative costs $ ( 4887 ) $ ( 5312 ) $ ( 3754 ) net changes in prices and production , transportation and administrative costs related to future production 12845 ( 1342 ) 6648 .

Table:
( in millions )	2007	2006	2005
sales and transfers of oil and gas produced net of production transportation and administrative costs	$ -4887 ( 4887 )	$ -5312 ( 5312 )	$ -3754 ( 3754 )
net changes in prices and production transportation and administrative costs related to future production	12845	-1342 ( 1342 )	6648
extensions discoveries and improved recovery less related costs	1816	1290	700
development costs incurred during the period	1654	1251	1030
changes in estimated future development costs	-1727 ( 1727 )	-527 ( 527 )	-552 ( 552 )
revisions of previous quantity estimates	290	1319	820
net changes in purchases and sales of minerals in place	23	30	4557
accretion of discount	1726	1882	1124
net change in income taxes	-6751 ( 6751 )	-660 ( 660 )	-6694 ( 6694 )
timing and other	-12 ( 12 )	-14 ( 14 )	307
net change for the year	4977	-2083 ( 2083 )	4186
beginning of year	8518	10601	6415
end of year	$ 13495	$ 8518	$ 10601
net change for the year from discontinued operations	$ 2013	$ -216 ( 216 )	$ 162

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"]}

development costs incurred during the period


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

[User]
Question:
what was the percentage change in the unrecognized tax benefits from 2014 to 2015?

Pre-table text:
the aes corporation notes to consolidated financial statements 2014 ( continued ) december 31 , 2016 , 2015 , and 2014 the following is a reconciliation of the beginning and ending amounts of unrecognized tax benefits for the periods indicated ( in millions ) : .

Table:
december 31,	2016	2015	2014
balance at january 1	$ 373	$ 394	$ 392
additions for current year tax positions	8	7	7
additions for tax positions of prior years	1	12	14
reductions for tax positions of prior years	-1 ( 1 )	-7 ( 7 )	-2 ( 2 )
effects of foreign currency translation	2	-7 ( 7 )	-3 ( 3 )
settlements	-13 ( 13 )	-19 ( 19 )	-2 ( 2 )
lapse of statute of limitations	-1 ( 1 )	-7 ( 7 )	-12 ( 12 )
balance at december 31	$ 369	$ 373	$ 394

Post-table text:
the company and certain of its subsidiaries are currently under examination by the relevant taxing authorities for various tax years .
the company regularly assesses the potential outcome of these examinations in each of the taxing jurisdictions when determining the adequacy of the amount of unrecognized tax benefit recorded .
while it is often difficult to predict the final outcome or the timing of resolution of any particular uncertain tax position , we believe we have appropriately accrued for our uncertain tax benefits .
however , audit outcomes and the timing of audit settlements and future events that would impact our previously recorded unrecognized tax benefits and the range of anticipated increases or decreases in unrecognized tax benefits are subject to significant uncertainty .
it is possible that the ultimate outcome of current or future examinations may exceed our provision for current unrecognized tax benefits in amounts that could be material , but cannot be estimated as of december 31 , 2016 .
our effective tax rate and net income in any given future period could therefore be materially impacted .
22 .
discontinued operations brazil distribution 2014 due to a portfolio evaluation in the first half of 2016 , management has decided to pursue a strategic shift of its distribution companies in brazil , aes sul and eletropaulo .
the disposal of sul was completed in october 2016 .
in december 2016 , eletropaulo underwent a corporate restructuring which is expected to , among other things , provide more liquidity of its shares .
aes is continuing to pursue strategic options for eletropaulo in order to complete its strategic shift to reduce aes 2019 exposure to the brazilian distribution business , including preparation for listing its shares into the novo mercado , which is a listing segment of the brazilian stock exchange with the highest standards of corporate governance .
the company executed an agreement for the sale of its wholly-owned subsidiary aes sul in june 2016 .
we have reported the results of operations and financial position of aes sul as discontinued operations in the consolidated financial statements for all periods presented .
upon meeting the held-for-sale criteria , the company recognized an after tax loss of $ 382 million comprised of a pretax impairment charge of $ 783 million , offset by a tax benefit of $ 266 million related to the impairment of the sul long lived assets and a tax benefit of $ 135 million for deferred taxes related to the investment in aes sul .
prior to the impairment charge in the second quarter , the carrying value of the aes sul asset group of $ 1.6 billion was greater than its approximate fair value less costs to sell .
however , the impairment charge was limited to the carrying value of the long lived assets of the aes sul disposal group .
on october 31 , 2016 , the company completed the sale of aes sul and received final proceeds less costs to sell of $ 484 million , excluding contingent consideration .
upon disposal of aes sul , we incurred an additional after- tax loss on sale of $ 737 million .
the cumulative impact to earnings of the impairment and loss on sale was $ 1.1 billion .
this includes the reclassification of approximately $ 1 billion of cumulative translation losses , resulting in a net reduction to the company 2019s stockholders 2019 equity of $ 92 million .
sul 2019s pretax loss attributable to aes for the years ended december 31 , 2016 and 2015 was $ 1.4 billion and $ 32 million , respectively .
sul 2019s pretax gain attributable to aes for the year ended december 31 , 2014 was $ 133 million .
prior to its classification as discontinued operations , sul was reported in the brazil sbu reportable segment .
as discussed in note 1 2014general and summary of significant accounting policies , effective july 1 , 2014 , the company prospectively adopted asu no .
2014-08 .
discontinued operations prior to adoption of asu no .
2014-08 include the results of cameroon , saurashtra and various u.s .
wind projects which were each sold in the first half of cameroon 2014 in september 2013 , the company executed agreements for the sale of its 56% ( 56 % ) equity interests in businesses in cameroon : sonel , an integrated utility , kribi , a gas and light fuel oil plant , and dibamba , a heavy .

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 were the remaining mondovi net assets acquired following the sale of certain excess assets from the deal , in thousands?

Pre-table text:
c o n s t e l l a t i o n b r a n d s , i n c .
baroness philippine de rothschild announced an agree- ment to maintain equal ownership of opus one .
opus one produces fine wines at its napa valley winery .
the acquisition of robert mondavi supports the com- pany 2019s strategy of strengthening the breadth of its portfolio across price segments to capitalize on the overall growth in the premium , super-premium and fine wine categories .
the company believes that the acquired robert mondavi brand names have strong brand recognition globally .
the vast majority of sales from these brands are generated in the united states .
the company is leveraging the robert mondavi brands in the united states through its selling , marketing and distribution infrastructure .
the company also intends to further expand distribution for the robert mondavi brands in europe through its constellation europe infrastructure .
the robert mondavi acquisition supports the com- pany 2019s strategy of growth and breadth across categories and geographies , and strengthens its competitive position in its core markets .
the robert mondavi acquisition provides the company with a greater presence in the growing premium , super-premium and fine wine sectors within the united states and the ability to capitalize on the broader geographic distribution in strategic international markets .
in particular , the company believes there are growth opportunities for premium , super-premium and fine wines in the united kingdom and other 201cnew world 201d wine markets .
total con- sideration paid in cash to the robert mondavi shareholders was $ 1030.7 million .
additionally , the company incurred direct acquisition costs of $ 12.0 million .
the purchase price was financed with borrowings under the company 2019s 2004 credit agreement ( as defined in note 9 ) .
in accordance with the purchase method of accounting , the acquired net assets are recorded at fair value at the date of acquisition .
the purchase price was based primarily on the estimated future operating results of the robert mondavi business , including the factors described above , as well as an estimated benefit from operating cost synergies .
the results of operations of the robert mondavi busi- ness are reported in the constellation wines segment and have been included in the consolidated statements of income since the acquisition date .
the following table summarizes the fair values of the assets acquired and liabilities assumed in the robert mondavi acquisition at the date of acquisition , as adjusted for the final appraisal : ( in thousands ) .

Table:
current assets	$ 513782
property plant and equipment	438140
other assets	124450
trademarks	138000
goodwill	634203
total assets acquired	1848575
current liabilities	310919
long-term liabilities	494995
total liabilities assumed	805914
net assets acquired	$ 1042661

Post-table text:
the trademarks are not subject to amortization .
none of the goodwill is expected to be deductible for tax purposes .
following the robert mondavi acquisition , the company sold certain of the acquired vineyard properties and related assets , investments accounted for under the equity method , and other winery properties and related assets , during the years ended february 28 , 2006 , and february 28 , 2005 .
the company realized net proceeds of $ 170.8 million from the sale of these assets during the year ended february 28 , 2006 .
amounts realized during the year ended february 28 , 2005 , were not material .
no gain or loss has been recognized upon the sale of these assets .
hardy acquisition 2013 on march 27 , 2003 , the company acquired control of brl hardy limited , now known as hardy wine company limited ( 201chardy 201d ) , and on april 9 , 2003 , the company completed its acquisition of all of hardy 2019s outstanding capital stock .
as a result of the acquisi- tion of hardy , the company also acquired the remaining 50% ( 50 % ) ownership of pacific wine partners llc ( 201cpwp 201d ) , the joint venture the company established with hardy in july 2001 .
the acquisition of hardy along with the remaining interest in pwp is referred to together as the 201chardy acquisition . 201d through this acquisition , the company acquired one of australia 2019s largest wine producers with interests in wineries and vineyards in most of australia 2019s major wine regions as well as new zealand and the united states and hardy 2019s marketing and sales operations in the united kingdom .
in october 2005 , pwp was merged into another subsidiary of the company .
total consideration paid in cash and class a common stock to the hardy shareholders was $ 1137.4 million .
additionally , the company recorded direct acquisition costs of $ 17.2 million .
the acquisition date for accounting pur- poses is march 27 , 2003 .
the company has recorded a $ 1.6 million reduction in the purchase price to reflect imputed interest between the accounting acquisition date and the final payment of consideration .
this charge is included as interest expense in the consolidated statement of income for the year ended february 29 , 2004 .
the cash portion of the purchase price paid to the hardy shareholders and optionholders ( $ 1060.2 million ) was financed with $ 660.2 million of borrowings under the company 2019s then existing credit agreement and $ 400.0 million of borrowings under the company 2019s then existing bridge loan agreement .
addi- tionally , the company issued 6577826 shares of the com- pany 2019s class a common stock , which were valued at $ 77.2 million based on the simple average of the closing market price of the company 2019s class a common stock beginning two days before and ending two days after april 4 , 2003 , the day the hardy shareholders elected the form of consid- eration they wished to receive .
the purchase price was based primarily on a discounted cash flow analysis that contemplated , among other things , the value of a broader geographic distribution in strategic international markets and a presence in the important australian winemaking regions .
the company and hardy have complementary businesses that share a common growth orientation and operating philosophy .
the hardy acquisition supports the company 2019s strategy of growth and breadth across categories .

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"]}