[System] You are solving conversational numerical reasoning over financial reports. Use only the current question, dialogue history, 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-family DSL program tokens ending with "EOF". Do not return the final answer directly and do not include extra text.

[User]
Current question:
and what was the total of accounts payable and other current liabilities?

Dialogue history:
[Turn 1] as of december 31, 2008, what was the amount of the accrued wages and vacation?
[Turn 2] and what was the total of accounts payable and other current liabilities?

Pre-table text:
when we purchase an asset , we capitalize all costs necessary to make the asset ready for its intended use .
however , many of our assets are self-constructed .
a large portion of our capital expenditures is for track structure expansion ( capacity projects ) and replacement ( program projects ) , which is typically performed by our employees .
approximately 13% ( 13 % ) of our full-time equivalent employees are dedicated to the construction of capital assets .
costs that are directly attributable or overhead costs that relate directly to capital projects are capitalized .
direct costs that are capitalized as part of self-constructed assets include material , labor , and work equipment .
indirect costs are capitalized if they clearly relate to the construction of the asset .
these costs are allocated using appropriate statistical bases .
the capitalization of indirect costs is consistent with fasb statement no .
67 , accounting for costs and initial rental operations of real estate projects .
general and administrative expenditures are expensed as incurred .
normal repairs and maintenance are also expensed as incurred , while costs incurred that extend the useful life of an asset , improve the safety of our operations or improve operating efficiency are capitalized .
assets held under capital leases are recorded at the lower of the net present value of the minimum lease payments or the fair value of the leased asset at the inception of the lease .
amortization expense is computed using the straight-line method over the shorter of the estimated useful lives of the assets or the period of the related lease .
10 .
accounts payable and other current liabilities dec .
31 , dec .
31 , millions of dollars 2008 2007 .

Table:
millions of dollars	dec . 31 2008	dec . 31 2007
accounts payable	$ 629	$ 732
accrued wages and vacation	367	394
accrued casualty costs	390	371
income and other taxes	207	343
dividends and interest	328	284
equipment rents payable	93	103
other	546	675
total accounts payable and other current liabilities	$ 2560	$ 2902

Post-table text:
11 .
fair value measurements during the first quarter of 2008 , we fully adopted fasb statement no .
157 , fair value measurements ( fas 157 ) .
fas 157 established a framework for measuring fair value and expanded disclosures about fair value measurements .
the adoption of fas 157 had no impact on our financial position or results of operations .
fas 157 applies to all assets and liabilities that are measured and reported on a fair value basis .
this enables the reader of the financial statements to assess the inputs used to develop those measurements by establishing a hierarchy for ranking the quality and reliability of the information used to determine fair values .
the statement requires that each asset and liability carried at fair value be classified into one of the following categories : level 1 : quoted market prices in active markets for identical assets or liabilities .
level 2 : observable market based inputs or unobservable inputs that are corroborated by market data .
level 3 : unobservable inputs that are not corroborated by market data. .

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

Return JSON only in this form:
{"program_tokens": ["subtract(", "5829", "5735", ")", "EOF"]}
For number_turn cases, a valid program can also be a single numeric token followed by EOF, for example {"program_tokens": ["206588", "EOF"]}.


[System] You are solving conversational numerical reasoning over financial reports. Use only the current question, dialogue history, 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-family DSL program tokens ending with "EOF". Do not return the final answer directly and do not include extra text.

[User]
Current question:
what percentage, then, did that amount represent in relation to this total?

Dialogue history:
[Turn 1] as of december 31, 2008, what was the amount of the accrued wages and vacation?
[Turn 2] and what was the total of accounts payable and other current liabilities?
[Turn 3] what percentage, then, did that amount represent in relation to this total?

Pre-table text:
when we purchase an asset , we capitalize all costs necessary to make the asset ready for its intended use .
however , many of our assets are self-constructed .
a large portion of our capital expenditures is for track structure expansion ( capacity projects ) and replacement ( program projects ) , which is typically performed by our employees .
approximately 13% ( 13 % ) of our full-time equivalent employees are dedicated to the construction of capital assets .
costs that are directly attributable or overhead costs that relate directly to capital projects are capitalized .
direct costs that are capitalized as part of self-constructed assets include material , labor , and work equipment .
indirect costs are capitalized if they clearly relate to the construction of the asset .
these costs are allocated using appropriate statistical bases .
the capitalization of indirect costs is consistent with fasb statement no .
67 , accounting for costs and initial rental operations of real estate projects .
general and administrative expenditures are expensed as incurred .
normal repairs and maintenance are also expensed as incurred , while costs incurred that extend the useful life of an asset , improve the safety of our operations or improve operating efficiency are capitalized .
assets held under capital leases are recorded at the lower of the net present value of the minimum lease payments or the fair value of the leased asset at the inception of the lease .
amortization expense is computed using the straight-line method over the shorter of the estimated useful lives of the assets or the period of the related lease .
10 .
accounts payable and other current liabilities dec .
31 , dec .
31 , millions of dollars 2008 2007 .

Table:
millions of dollars	dec . 31 2008	dec . 31 2007
accounts payable	$ 629	$ 732
accrued wages and vacation	367	394
accrued casualty costs	390	371
income and other taxes	207	343
dividends and interest	328	284
equipment rents payable	93	103
other	546	675
total accounts payable and other current liabilities	$ 2560	$ 2902

Post-table text:
11 .
fair value measurements during the first quarter of 2008 , we fully adopted fasb statement no .
157 , fair value measurements ( fas 157 ) .
fas 157 established a framework for measuring fair value and expanded disclosures about fair value measurements .
the adoption of fas 157 had no impact on our financial position or results of operations .
fas 157 applies to all assets and liabilities that are measured and reported on a fair value basis .
this enables the reader of the financial statements to assess the inputs used to develop those measurements by establishing a hierarchy for ranking the quality and reliability of the information used to determine fair values .
the statement requires that each asset and liability carried at fair value be classified into one of the following categories : level 1 : quoted market prices in active markets for identical assets or liabilities .
level 2 : observable market based inputs or unobservable inputs that are corroborated by market data .
level 3 : unobservable inputs that are not corroborated by market data. .

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

Return JSON only in this form:
{"program_tokens": ["subtract(", "5829", "5735", ")", "EOF"]}
For number_turn cases, a valid program can also be a single numeric token followed by EOF, for example {"program_tokens": ["206588", "EOF"]}.


[System] You are solving conversational numerical reasoning over financial reports. Use only the current question, dialogue history, 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-family DSL program tokens ending with "EOF". Do not return the final answer directly and do not include extra text.

[User]
Current question:
and from 2007 to that year, what was the change in the total of equipment rents payable?

Dialogue history:
[Turn 1] as of december 31, 2008, what was the amount of the accrued wages and vacation?
[Turn 2] and what was the total of accounts payable and other current liabilities?
[Turn 3] what percentage, then, did that amount represent in relation to this total?
[Turn 4] and from 2007 to that year, what was the change in the total of equipment rents payable?

Pre-table text:
when we purchase an asset , we capitalize all costs necessary to make the asset ready for its intended use .
however , many of our assets are self-constructed .
a large portion of our capital expenditures is for track structure expansion ( capacity projects ) and replacement ( program projects ) , which is typically performed by our employees .
approximately 13% ( 13 % ) of our full-time equivalent employees are dedicated to the construction of capital assets .
costs that are directly attributable or overhead costs that relate directly to capital projects are capitalized .
direct costs that are capitalized as part of self-constructed assets include material , labor , and work equipment .
indirect costs are capitalized if they clearly relate to the construction of the asset .
these costs are allocated using appropriate statistical bases .
the capitalization of indirect costs is consistent with fasb statement no .
67 , accounting for costs and initial rental operations of real estate projects .
general and administrative expenditures are expensed as incurred .
normal repairs and maintenance are also expensed as incurred , while costs incurred that extend the useful life of an asset , improve the safety of our operations or improve operating efficiency are capitalized .
assets held under capital leases are recorded at the lower of the net present value of the minimum lease payments or the fair value of the leased asset at the inception of the lease .
amortization expense is computed using the straight-line method over the shorter of the estimated useful lives of the assets or the period of the related lease .
10 .
accounts payable and other current liabilities dec .
31 , dec .
31 , millions of dollars 2008 2007 .

Table:
millions of dollars	dec . 31 2008	dec . 31 2007
accounts payable	$ 629	$ 732
accrued wages and vacation	367	394
accrued casualty costs	390	371
income and other taxes	207	343
dividends and interest	328	284
equipment rents payable	93	103
other	546	675
total accounts payable and other current liabilities	$ 2560	$ 2902

Post-table text:
11 .
fair value measurements during the first quarter of 2008 , we fully adopted fasb statement no .
157 , fair value measurements ( fas 157 ) .
fas 157 established a framework for measuring fair value and expanded disclosures about fair value measurements .
the adoption of fas 157 had no impact on our financial position or results of operations .
fas 157 applies to all assets and liabilities that are measured and reported on a fair value basis .
this enables the reader of the financial statements to assess the inputs used to develop those measurements by establishing a hierarchy for ranking the quality and reliability of the information used to determine fair values .
the statement requires that each asset and liability carried at fair value be classified into one of the following categories : level 1 : quoted market prices in active markets for identical assets or liabilities .
level 2 : observable market based inputs or unobservable inputs that are corroborated by market data .
level 3 : unobservable inputs that are not corroborated by market data. .

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

Return JSON only in this form:
{"program_tokens": ["subtract(", "5829", "5735", ")", "EOF"]}
For number_turn cases, a valid program can also be a single numeric token followed by EOF, for example {"program_tokens": ["206588", "EOF"]}.


[System] You are solving conversational numerical reasoning over financial reports. Use only the current question, dialogue history, 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-family DSL program tokens ending with "EOF". Do not return the final answer directly and do not include extra text.

[User]
Current question:
what is this change as a percentage of that total in 2007?

Dialogue history:
[Turn 1] as of december 31, 2008, what was the amount of the accrued wages and vacation?
[Turn 2] and what was the total of accounts payable and other current liabilities?
[Turn 3] what percentage, then, did that amount represent in relation to this total?
[Turn 4] and from 2007 to that year, what was the change in the total of equipment rents payable?
[Turn 5] what is this change as a percentage of that total in 2007?

Pre-table text:
when we purchase an asset , we capitalize all costs necessary to make the asset ready for its intended use .
however , many of our assets are self-constructed .
a large portion of our capital expenditures is for track structure expansion ( capacity projects ) and replacement ( program projects ) , which is typically performed by our employees .
approximately 13% ( 13 % ) of our full-time equivalent employees are dedicated to the construction of capital assets .
costs that are directly attributable or overhead costs that relate directly to capital projects are capitalized .
direct costs that are capitalized as part of self-constructed assets include material , labor , and work equipment .
indirect costs are capitalized if they clearly relate to the construction of the asset .
these costs are allocated using appropriate statistical bases .
the capitalization of indirect costs is consistent with fasb statement no .
67 , accounting for costs and initial rental operations of real estate projects .
general and administrative expenditures are expensed as incurred .
normal repairs and maintenance are also expensed as incurred , while costs incurred that extend the useful life of an asset , improve the safety of our operations or improve operating efficiency are capitalized .
assets held under capital leases are recorded at the lower of the net present value of the minimum lease payments or the fair value of the leased asset at the inception of the lease .
amortization expense is computed using the straight-line method over the shorter of the estimated useful lives of the assets or the period of the related lease .
10 .
accounts payable and other current liabilities dec .
31 , dec .
31 , millions of dollars 2008 2007 .

Table:
millions of dollars	dec . 31 2008	dec . 31 2007
accounts payable	$ 629	$ 732
accrued wages and vacation	367	394
accrued casualty costs	390	371
income and other taxes	207	343
dividends and interest	328	284
equipment rents payable	93	103
other	546	675
total accounts payable and other current liabilities	$ 2560	$ 2902

Post-table text:
11 .
fair value measurements during the first quarter of 2008 , we fully adopted fasb statement no .
157 , fair value measurements ( fas 157 ) .
fas 157 established a framework for measuring fair value and expanded disclosures about fair value measurements .
the adoption of fas 157 had no impact on our financial position or results of operations .
fas 157 applies to all assets and liabilities that are measured and reported on a fair value basis .
this enables the reader of the financial statements to assess the inputs used to develop those measurements by establishing a hierarchy for ranking the quality and reliability of the information used to determine fair values .
the statement requires that each asset and liability carried at fair value be classified into one of the following categories : level 1 : quoted market prices in active markets for identical assets or liabilities .
level 2 : observable market based inputs or unobservable inputs that are corroborated by market data .
level 3 : unobservable inputs that are not corroborated by market data. .

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

Return JSON only in this form:
{"program_tokens": ["subtract(", "5829", "5735", ")", "EOF"]}
For number_turn cases, a valid program can also be a single numeric token followed by EOF, for example {"program_tokens": ["206588", "EOF"]}.


[System] You are solving conversational numerical reasoning over financial reports. Use only the current question, dialogue history, 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-family DSL program tokens ending with "EOF". Do not return the final answer directly and do not include extra text.

[User]
Current question:
between 2016 and 2017, what was the variation in the credit net?

Dialogue history:
[Turn 1] between 2016 and 2017, what was the variation in the credit net?

Pre-table text:
the goldman sachs group , inc .
and subsidiaries notes to consolidated financial statements in the tables above : 2030 the gross fair values exclude the effects of both counterparty netting and collateral netting , and therefore are not representative of the firm 2019s exposure .
2030 counterparty netting is reflected in each level to the extent that receivable and payable balances are netted within the same level and is included in counterparty netting in levels .
where the counterparty netting is across levels , the netting is included in cross-level counterparty netting .
2030 derivative assets are shown as positive amounts and derivative liabilities are shown as negative amounts .
significant unobservable inputs the table below presents the amount of level 3 assets ( liabilities ) , and ranges , averages and medians of significant unobservable inputs used to value the firm 2019s level 3 derivatives .
level 3 assets ( liabilities ) and range of significant unobservable inputs ( average/median ) as of december $ in millions 2017 2016 .

Table:
$ in millions	level 3 assets ( liabilities ) and range of significant unobservable inputs ( average/median ) as of december 2017	level 3 assets ( liabilities ) and range of significant unobservable inputs ( average/median ) as of december 2016
interest rates net	$ -410 ( 410 )	$ -381 ( 381 )
correlation	( 10 ) % (  % ) to 95% ( 95 % ) ( 71%/79% ( 71%/79 % ) )	( 10 ) % (  % ) to 86% ( 86 % ) ( 56%/60% ( 56%/60 % ) )
volatility ( bps )	31 to 150 ( 84/78 )	31 to 151 ( 84/57 )
credit net	$ 1505	$ 2504
correlation	28% ( 28 % ) to 84% ( 84 % ) ( 61%/60% ( 61%/60 % ) )	35% ( 35 % ) to 91% ( 91 % ) ( 65%/68% ( 65%/68 % ) )
credit spreads ( bps )	1 to 633 ( 69/42 )	1 to 993 ( 122/73 )
upfront credit points	0 to 97 ( 42/38 )	0 to 100 ( 43/35 )
recovery rates	22% ( 22 % ) to 73% ( 73 % ) ( 68%/73% ( 68%/73 % ) )	1% ( 1 % ) to 97% ( 97 % ) ( 58%/70% ( 58%/70 % ) )
currencies net	$ -181 ( 181 )	$ 3
correlation	49% ( 49 % ) to 72% ( 72 % ) ( 61%/62% ( 61%/62 % ) )	25% ( 25 % ) to 70% ( 70 % ) ( 50%/55% ( 50%/55 % ) )
commodities net	$ 47	$ 73
volatility	9% ( 9 % ) to 79% ( 79 % ) ( 24%/24% ( 24%/24 % ) )	13% ( 13 % ) to 68% ( 68 % ) ( 33%/33% ( 33%/33 % ) )
natural gas spread	$ ( 2.38 ) to $ 3.34 ( $ ( 0.22 ) /$ ( 0.12 ) )	$ ( 1.81 ) to $ 4.33 ( $ ( 0.14 ) /$ ( 0.05 ) )
oil spread	$ ( 2.86 ) to $ 23.61 ( $ 6.47/$ 2.35 )	$ ( 19.72 ) to $ 64.92 ( $ 25.30/$ 16.43 )
equities net	$ -1249 ( 1249 )	$ -3416 ( 3416 )
correlation	( 36 ) % (  % ) to 94% ( 94 % ) ( 50%/52% ( 50%/52 % ) )	( 39 ) % (  % ) to 88% ( 88 % ) ( 41%/41% ( 41%/41 % ) )
volatility	4% ( 4 % ) to 72% ( 72 % ) ( 24%/22% ( 24%/22 % ) )	5% ( 5 % ) to 72% ( 72 % ) ( 24%/23% ( 24%/23 % ) )

Post-table text:
in the table above : 2030 derivative assets are shown as positive amounts and derivative liabilities are shown as negative amounts .
2030 ranges represent the significant unobservable inputs that were used in the valuation of each type of derivative .
2030 averages represent the arithmetic average of the inputs and are not weighted by the relative fair value or notional of the respective financial instruments .
an average greater than the median indicates that the majority of inputs are below the average .
for example , the difference between the average and the median for credit spreads and oil spread inputs indicates that the majority of the inputs fall in the lower end of the range .
2030 the ranges , averages and medians of these inputs are not representative of the appropriate inputs to use when calculating the fair value of any one derivative .
for example , the highest correlation for interest rate derivatives is appropriate for valuing a specific interest rate derivative but may not be appropriate for valuing any other interest rate derivative .
accordingly , the ranges of inputs do not represent uncertainty in , or possible ranges of , fair value measurements of the firm 2019s level 3 derivatives .
2030 interest rates , currencies and equities derivatives are valued using option pricing models , credit derivatives are valued using option pricing , correlation and discounted cash flow models , and commodities derivatives are valued using option pricing and discounted cash flow models .
2030 the fair value of any one instrument may be determined using multiple valuation techniques .
for example , option pricing models and discounted cash flows models are typically used together to determine fair value .
therefore , the level 3 balance encompasses both of these techniques .
2030 correlation within currencies and equities includes cross- product type correlation .
2030 natural gas spread represents the spread per million british thermal units of natural gas .
2030 oil spread represents the spread per barrel of oil and refined products .
range of significant unobservable inputs the following is information about the ranges of significant unobservable inputs used to value the firm 2019s level 3 derivative instruments : 2030 correlation .
ranges for correlation cover a variety of underliers both within one product type ( e.g. , equity index and equity single stock names ) and across product types ( e.g. , correlation of an interest rate and a currency ) , as well as across regions .
generally , cross-product type correlation inputs are used to value more complex instruments and are lower than correlation inputs on assets within the same derivative product type .
2030 volatility .
ranges for volatility cover numerous underliers across a variety of markets , maturities and strike prices .
for example , volatility of equity indices is generally lower than volatility of single stocks .
2030 credit spreads , upfront credit points and recovery rates .
the ranges for credit spreads , upfront credit points and recovery rates cover a variety of underliers ( index and single names ) , regions , sectors , maturities and credit qualities ( high-yield and investment-grade ) .
the broad range of this population gives rise to the width of the ranges of significant unobservable inputs .
130 goldman sachs 2017 form 10-k .

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

Return JSON only in this form:
{"program_tokens": ["subtract(", "5829", "5735", ")", "EOF"]}
For number_turn cases, a valid program can also be a single numeric token followed by EOF, for example {"program_tokens": ["206588", "EOF"]}.


[System] You are solving conversational numerical reasoning over financial reports. Use only the current question, dialogue history, 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-family DSL program tokens ending with "EOF". Do not return the final answer directly and do not include extra text.

[User]
Current question:
and what was that credit net in 2016?

Dialogue history:
[Turn 1] between 2016 and 2017, what was the variation in the credit net?
[Turn 2] and what was that credit net in 2016?

Pre-table text:
the goldman sachs group , inc .
and subsidiaries notes to consolidated financial statements in the tables above : 2030 the gross fair values exclude the effects of both counterparty netting and collateral netting , and therefore are not representative of the firm 2019s exposure .
2030 counterparty netting is reflected in each level to the extent that receivable and payable balances are netted within the same level and is included in counterparty netting in levels .
where the counterparty netting is across levels , the netting is included in cross-level counterparty netting .
2030 derivative assets are shown as positive amounts and derivative liabilities are shown as negative amounts .
significant unobservable inputs the table below presents the amount of level 3 assets ( liabilities ) , and ranges , averages and medians of significant unobservable inputs used to value the firm 2019s level 3 derivatives .
level 3 assets ( liabilities ) and range of significant unobservable inputs ( average/median ) as of december $ in millions 2017 2016 .

Table:
$ in millions	level 3 assets ( liabilities ) and range of significant unobservable inputs ( average/median ) as of december 2017	level 3 assets ( liabilities ) and range of significant unobservable inputs ( average/median ) as of december 2016
interest rates net	$ -410 ( 410 )	$ -381 ( 381 )
correlation	( 10 ) % (  % ) to 95% ( 95 % ) ( 71%/79% ( 71%/79 % ) )	( 10 ) % (  % ) to 86% ( 86 % ) ( 56%/60% ( 56%/60 % ) )
volatility ( bps )	31 to 150 ( 84/78 )	31 to 151 ( 84/57 )
credit net	$ 1505	$ 2504
correlation	28% ( 28 % ) to 84% ( 84 % ) ( 61%/60% ( 61%/60 % ) )	35% ( 35 % ) to 91% ( 91 % ) ( 65%/68% ( 65%/68 % ) )
credit spreads ( bps )	1 to 633 ( 69/42 )	1 to 993 ( 122/73 )
upfront credit points	0 to 97 ( 42/38 )	0 to 100 ( 43/35 )
recovery rates	22% ( 22 % ) to 73% ( 73 % ) ( 68%/73% ( 68%/73 % ) )	1% ( 1 % ) to 97% ( 97 % ) ( 58%/70% ( 58%/70 % ) )
currencies net	$ -181 ( 181 )	$ 3
correlation	49% ( 49 % ) to 72% ( 72 % ) ( 61%/62% ( 61%/62 % ) )	25% ( 25 % ) to 70% ( 70 % ) ( 50%/55% ( 50%/55 % ) )
commodities net	$ 47	$ 73
volatility	9% ( 9 % ) to 79% ( 79 % ) ( 24%/24% ( 24%/24 % ) )	13% ( 13 % ) to 68% ( 68 % ) ( 33%/33% ( 33%/33 % ) )
natural gas spread	$ ( 2.38 ) to $ 3.34 ( $ ( 0.22 ) /$ ( 0.12 ) )	$ ( 1.81 ) to $ 4.33 ( $ ( 0.14 ) /$ ( 0.05 ) )
oil spread	$ ( 2.86 ) to $ 23.61 ( $ 6.47/$ 2.35 )	$ ( 19.72 ) to $ 64.92 ( $ 25.30/$ 16.43 )
equities net	$ -1249 ( 1249 )	$ -3416 ( 3416 )
correlation	( 36 ) % (  % ) to 94% ( 94 % ) ( 50%/52% ( 50%/52 % ) )	( 39 ) % (  % ) to 88% ( 88 % ) ( 41%/41% ( 41%/41 % ) )
volatility	4% ( 4 % ) to 72% ( 72 % ) ( 24%/22% ( 24%/22 % ) )	5% ( 5 % ) to 72% ( 72 % ) ( 24%/23% ( 24%/23 % ) )

Post-table text:
in the table above : 2030 derivative assets are shown as positive amounts and derivative liabilities are shown as negative amounts .
2030 ranges represent the significant unobservable inputs that were used in the valuation of each type of derivative .
2030 averages represent the arithmetic average of the inputs and are not weighted by the relative fair value or notional of the respective financial instruments .
an average greater than the median indicates that the majority of inputs are below the average .
for example , the difference between the average and the median for credit spreads and oil spread inputs indicates that the majority of the inputs fall in the lower end of the range .
2030 the ranges , averages and medians of these inputs are not representative of the appropriate inputs to use when calculating the fair value of any one derivative .
for example , the highest correlation for interest rate derivatives is appropriate for valuing a specific interest rate derivative but may not be appropriate for valuing any other interest rate derivative .
accordingly , the ranges of inputs do not represent uncertainty in , or possible ranges of , fair value measurements of the firm 2019s level 3 derivatives .
2030 interest rates , currencies and equities derivatives are valued using option pricing models , credit derivatives are valued using option pricing , correlation and discounted cash flow models , and commodities derivatives are valued using option pricing and discounted cash flow models .
2030 the fair value of any one instrument may be determined using multiple valuation techniques .
for example , option pricing models and discounted cash flows models are typically used together to determine fair value .
therefore , the level 3 balance encompasses both of these techniques .
2030 correlation within currencies and equities includes cross- product type correlation .
2030 natural gas spread represents the spread per million british thermal units of natural gas .
2030 oil spread represents the spread per barrel of oil and refined products .
range of significant unobservable inputs the following is information about the ranges of significant unobservable inputs used to value the firm 2019s level 3 derivative instruments : 2030 correlation .
ranges for correlation cover a variety of underliers both within one product type ( e.g. , equity index and equity single stock names ) and across product types ( e.g. , correlation of an interest rate and a currency ) , as well as across regions .
generally , cross-product type correlation inputs are used to value more complex instruments and are lower than correlation inputs on assets within the same derivative product type .
2030 volatility .
ranges for volatility cover numerous underliers across a variety of markets , maturities and strike prices .
for example , volatility of equity indices is generally lower than volatility of single stocks .
2030 credit spreads , upfront credit points and recovery rates .
the ranges for credit spreads , upfront credit points and recovery rates cover a variety of underliers ( index and single names ) , regions , sectors , maturities and credit qualities ( high-yield and investment-grade ) .
the broad range of this population gives rise to the width of the ranges of significant unobservable inputs .
130 goldman sachs 2017 form 10-k .

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

Return JSON only in this form:
{"program_tokens": ["subtract(", "5829", "5735", ")", "EOF"]}
For number_turn cases, a valid program can also be a single numeric token followed by EOF, for example {"program_tokens": ["206588", "EOF"]}.


[System] You are solving conversational numerical reasoning over financial reports. Use only the current question, dialogue history, 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-family DSL program tokens ending with "EOF". Do not return the final answer directly and do not include extra text.

[User]
Current question:
what was, then, that variation as a percent of this 2016 amount?

Dialogue history:
[Turn 1] between 2016 and 2017, what was the variation in the credit net?
[Turn 2] and what was that credit net in 2016?
[Turn 3] what was, then, that variation as a percent of this 2016 amount?

Pre-table text:
the goldman sachs group , inc .
and subsidiaries notes to consolidated financial statements in the tables above : 2030 the gross fair values exclude the effects of both counterparty netting and collateral netting , and therefore are not representative of the firm 2019s exposure .
2030 counterparty netting is reflected in each level to the extent that receivable and payable balances are netted within the same level and is included in counterparty netting in levels .
where the counterparty netting is across levels , the netting is included in cross-level counterparty netting .
2030 derivative assets are shown as positive amounts and derivative liabilities are shown as negative amounts .
significant unobservable inputs the table below presents the amount of level 3 assets ( liabilities ) , and ranges , averages and medians of significant unobservable inputs used to value the firm 2019s level 3 derivatives .
level 3 assets ( liabilities ) and range of significant unobservable inputs ( average/median ) as of december $ in millions 2017 2016 .

Table:
$ in millions	level 3 assets ( liabilities ) and range of significant unobservable inputs ( average/median ) as of december 2017	level 3 assets ( liabilities ) and range of significant unobservable inputs ( average/median ) as of december 2016
interest rates net	$ -410 ( 410 )	$ -381 ( 381 )
correlation	( 10 ) % (  % ) to 95% ( 95 % ) ( 71%/79% ( 71%/79 % ) )	( 10 ) % (  % ) to 86% ( 86 % ) ( 56%/60% ( 56%/60 % ) )
volatility ( bps )	31 to 150 ( 84/78 )	31 to 151 ( 84/57 )
credit net	$ 1505	$ 2504
correlation	28% ( 28 % ) to 84% ( 84 % ) ( 61%/60% ( 61%/60 % ) )	35% ( 35 % ) to 91% ( 91 % ) ( 65%/68% ( 65%/68 % ) )
credit spreads ( bps )	1 to 633 ( 69/42 )	1 to 993 ( 122/73 )
upfront credit points	0 to 97 ( 42/38 )	0 to 100 ( 43/35 )
recovery rates	22% ( 22 % ) to 73% ( 73 % ) ( 68%/73% ( 68%/73 % ) )	1% ( 1 % ) to 97% ( 97 % ) ( 58%/70% ( 58%/70 % ) )
currencies net	$ -181 ( 181 )	$ 3
correlation	49% ( 49 % ) to 72% ( 72 % ) ( 61%/62% ( 61%/62 % ) )	25% ( 25 % ) to 70% ( 70 % ) ( 50%/55% ( 50%/55 % ) )
commodities net	$ 47	$ 73
volatility	9% ( 9 % ) to 79% ( 79 % ) ( 24%/24% ( 24%/24 % ) )	13% ( 13 % ) to 68% ( 68 % ) ( 33%/33% ( 33%/33 % ) )
natural gas spread	$ ( 2.38 ) to $ 3.34 ( $ ( 0.22 ) /$ ( 0.12 ) )	$ ( 1.81 ) to $ 4.33 ( $ ( 0.14 ) /$ ( 0.05 ) )
oil spread	$ ( 2.86 ) to $ 23.61 ( $ 6.47/$ 2.35 )	$ ( 19.72 ) to $ 64.92 ( $ 25.30/$ 16.43 )
equities net	$ -1249 ( 1249 )	$ -3416 ( 3416 )
correlation	( 36 ) % (  % ) to 94% ( 94 % ) ( 50%/52% ( 50%/52 % ) )	( 39 ) % (  % ) to 88% ( 88 % ) ( 41%/41% ( 41%/41 % ) )
volatility	4% ( 4 % ) to 72% ( 72 % ) ( 24%/22% ( 24%/22 % ) )	5% ( 5 % ) to 72% ( 72 % ) ( 24%/23% ( 24%/23 % ) )

Post-table text:
in the table above : 2030 derivative assets are shown as positive amounts and derivative liabilities are shown as negative amounts .
2030 ranges represent the significant unobservable inputs that were used in the valuation of each type of derivative .
2030 averages represent the arithmetic average of the inputs and are not weighted by the relative fair value or notional of the respective financial instruments .
an average greater than the median indicates that the majority of inputs are below the average .
for example , the difference between the average and the median for credit spreads and oil spread inputs indicates that the majority of the inputs fall in the lower end of the range .
2030 the ranges , averages and medians of these inputs are not representative of the appropriate inputs to use when calculating the fair value of any one derivative .
for example , the highest correlation for interest rate derivatives is appropriate for valuing a specific interest rate derivative but may not be appropriate for valuing any other interest rate derivative .
accordingly , the ranges of inputs do not represent uncertainty in , or possible ranges of , fair value measurements of the firm 2019s level 3 derivatives .
2030 interest rates , currencies and equities derivatives are valued using option pricing models , credit derivatives are valued using option pricing , correlation and discounted cash flow models , and commodities derivatives are valued using option pricing and discounted cash flow models .
2030 the fair value of any one instrument may be determined using multiple valuation techniques .
for example , option pricing models and discounted cash flows models are typically used together to determine fair value .
therefore , the level 3 balance encompasses both of these techniques .
2030 correlation within currencies and equities includes cross- product type correlation .
2030 natural gas spread represents the spread per million british thermal units of natural gas .
2030 oil spread represents the spread per barrel of oil and refined products .
range of significant unobservable inputs the following is information about the ranges of significant unobservable inputs used to value the firm 2019s level 3 derivative instruments : 2030 correlation .
ranges for correlation cover a variety of underliers both within one product type ( e.g. , equity index and equity single stock names ) and across product types ( e.g. , correlation of an interest rate and a currency ) , as well as across regions .
generally , cross-product type correlation inputs are used to value more complex instruments and are lower than correlation inputs on assets within the same derivative product type .
2030 volatility .
ranges for volatility cover numerous underliers across a variety of markets , maturities and strike prices .
for example , volatility of equity indices is generally lower than volatility of single stocks .
2030 credit spreads , upfront credit points and recovery rates .
the ranges for credit spreads , upfront credit points and recovery rates cover a variety of underliers ( index and single names ) , regions , sectors , maturities and credit qualities ( high-yield and investment-grade ) .
the broad range of this population gives rise to the width of the ranges of significant unobservable inputs .
130 goldman sachs 2017 form 10-k .

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

Return JSON only in this form:
{"program_tokens": ["subtract(", "5829", "5735", ")", "EOF"]}
For number_turn cases, a valid program can also be a single numeric token followed by EOF, for example {"program_tokens": ["206588", "EOF"]}.


[System] You are solving conversational numerical reasoning over financial reports. Use only the current question, dialogue history, 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-family DSL program tokens ending with "EOF". Do not return the final answer directly and do not include extra text.

[User]
Current question:
and in that same period, what was that variation for the net comodities?

Dialogue history:
[Turn 1] between 2016 and 2017, what was the variation in the credit net?
[Turn 2] and what was that credit net in 2016?
[Turn 3] what was, then, that variation as a percent of this 2016 amount?
[Turn 4] and in that same period, what was that variation for the net comodities?

Pre-table text:
the goldman sachs group , inc .
and subsidiaries notes to consolidated financial statements in the tables above : 2030 the gross fair values exclude the effects of both counterparty netting and collateral netting , and therefore are not representative of the firm 2019s exposure .
2030 counterparty netting is reflected in each level to the extent that receivable and payable balances are netted within the same level and is included in counterparty netting in levels .
where the counterparty netting is across levels , the netting is included in cross-level counterparty netting .
2030 derivative assets are shown as positive amounts and derivative liabilities are shown as negative amounts .
significant unobservable inputs the table below presents the amount of level 3 assets ( liabilities ) , and ranges , averages and medians of significant unobservable inputs used to value the firm 2019s level 3 derivatives .
level 3 assets ( liabilities ) and range of significant unobservable inputs ( average/median ) as of december $ in millions 2017 2016 .

Table:
$ in millions	level 3 assets ( liabilities ) and range of significant unobservable inputs ( average/median ) as of december 2017	level 3 assets ( liabilities ) and range of significant unobservable inputs ( average/median ) as of december 2016
interest rates net	$ -410 ( 410 )	$ -381 ( 381 )
correlation	( 10 ) % (  % ) to 95% ( 95 % ) ( 71%/79% ( 71%/79 % ) )	( 10 ) % (  % ) to 86% ( 86 % ) ( 56%/60% ( 56%/60 % ) )
volatility ( bps )	31 to 150 ( 84/78 )	31 to 151 ( 84/57 )
credit net	$ 1505	$ 2504
correlation	28% ( 28 % ) to 84% ( 84 % ) ( 61%/60% ( 61%/60 % ) )	35% ( 35 % ) to 91% ( 91 % ) ( 65%/68% ( 65%/68 % ) )
credit spreads ( bps )	1 to 633 ( 69/42 )	1 to 993 ( 122/73 )
upfront credit points	0 to 97 ( 42/38 )	0 to 100 ( 43/35 )
recovery rates	22% ( 22 % ) to 73% ( 73 % ) ( 68%/73% ( 68%/73 % ) )	1% ( 1 % ) to 97% ( 97 % ) ( 58%/70% ( 58%/70 % ) )
currencies net	$ -181 ( 181 )	$ 3
correlation	49% ( 49 % ) to 72% ( 72 % ) ( 61%/62% ( 61%/62 % ) )	25% ( 25 % ) to 70% ( 70 % ) ( 50%/55% ( 50%/55 % ) )
commodities net	$ 47	$ 73
volatility	9% ( 9 % ) to 79% ( 79 % ) ( 24%/24% ( 24%/24 % ) )	13% ( 13 % ) to 68% ( 68 % ) ( 33%/33% ( 33%/33 % ) )
natural gas spread	$ ( 2.38 ) to $ 3.34 ( $ ( 0.22 ) /$ ( 0.12 ) )	$ ( 1.81 ) to $ 4.33 ( $ ( 0.14 ) /$ ( 0.05 ) )
oil spread	$ ( 2.86 ) to $ 23.61 ( $ 6.47/$ 2.35 )	$ ( 19.72 ) to $ 64.92 ( $ 25.30/$ 16.43 )
equities net	$ -1249 ( 1249 )	$ -3416 ( 3416 )
correlation	( 36 ) % (  % ) to 94% ( 94 % ) ( 50%/52% ( 50%/52 % ) )	( 39 ) % (  % ) to 88% ( 88 % ) ( 41%/41% ( 41%/41 % ) )
volatility	4% ( 4 % ) to 72% ( 72 % ) ( 24%/22% ( 24%/22 % ) )	5% ( 5 % ) to 72% ( 72 % ) ( 24%/23% ( 24%/23 % ) )

Post-table text:
in the table above : 2030 derivative assets are shown as positive amounts and derivative liabilities are shown as negative amounts .
2030 ranges represent the significant unobservable inputs that were used in the valuation of each type of derivative .
2030 averages represent the arithmetic average of the inputs and are not weighted by the relative fair value or notional of the respective financial instruments .
an average greater than the median indicates that the majority of inputs are below the average .
for example , the difference between the average and the median for credit spreads and oil spread inputs indicates that the majority of the inputs fall in the lower end of the range .
2030 the ranges , averages and medians of these inputs are not representative of the appropriate inputs to use when calculating the fair value of any one derivative .
for example , the highest correlation for interest rate derivatives is appropriate for valuing a specific interest rate derivative but may not be appropriate for valuing any other interest rate derivative .
accordingly , the ranges of inputs do not represent uncertainty in , or possible ranges of , fair value measurements of the firm 2019s level 3 derivatives .
2030 interest rates , currencies and equities derivatives are valued using option pricing models , credit derivatives are valued using option pricing , correlation and discounted cash flow models , and commodities derivatives are valued using option pricing and discounted cash flow models .
2030 the fair value of any one instrument may be determined using multiple valuation techniques .
for example , option pricing models and discounted cash flows models are typically used together to determine fair value .
therefore , the level 3 balance encompasses both of these techniques .
2030 correlation within currencies and equities includes cross- product type correlation .
2030 natural gas spread represents the spread per million british thermal units of natural gas .
2030 oil spread represents the spread per barrel of oil and refined products .
range of significant unobservable inputs the following is information about the ranges of significant unobservable inputs used to value the firm 2019s level 3 derivative instruments : 2030 correlation .
ranges for correlation cover a variety of underliers both within one product type ( e.g. , equity index and equity single stock names ) and across product types ( e.g. , correlation of an interest rate and a currency ) , as well as across regions .
generally , cross-product type correlation inputs are used to value more complex instruments and are lower than correlation inputs on assets within the same derivative product type .
2030 volatility .
ranges for volatility cover numerous underliers across a variety of markets , maturities and strike prices .
for example , volatility of equity indices is generally lower than volatility of single stocks .
2030 credit spreads , upfront credit points and recovery rates .
the ranges for credit spreads , upfront credit points and recovery rates cover a variety of underliers ( index and single names ) , regions , sectors , maturities and credit qualities ( high-yield and investment-grade ) .
the broad range of this population gives rise to the width of the ranges of significant unobservable inputs .
130 goldman sachs 2017 form 10-k .

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

Return JSON only in this form:
{"program_tokens": ["subtract(", "5829", "5735", ")", "EOF"]}
For number_turn cases, a valid program can also be a single numeric token followed by EOF, for example {"program_tokens": ["206588", "EOF"]}.


[System] You are solving conversational numerical reasoning over financial reports. Use only the current question, dialogue history, 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-family DSL program tokens ending with "EOF". Do not return the final answer directly and do not include extra text.

[User]
Current question:
and what percentage did this variation represent in relation to the 2016 commodities?

Dialogue history:
[Turn 1] between 2016 and 2017, what was the variation in the credit net?
[Turn 2] and what was that credit net in 2016?
[Turn 3] what was, then, that variation as a percent of this 2016 amount?
[Turn 4] and in that same period, what was that variation for the net comodities?
[Turn 5] and what percentage did this variation represent in relation to the 2016 commodities?

Pre-table text:
the goldman sachs group , inc .
and subsidiaries notes to consolidated financial statements in the tables above : 2030 the gross fair values exclude the effects of both counterparty netting and collateral netting , and therefore are not representative of the firm 2019s exposure .
2030 counterparty netting is reflected in each level to the extent that receivable and payable balances are netted within the same level and is included in counterparty netting in levels .
where the counterparty netting is across levels , the netting is included in cross-level counterparty netting .
2030 derivative assets are shown as positive amounts and derivative liabilities are shown as negative amounts .
significant unobservable inputs the table below presents the amount of level 3 assets ( liabilities ) , and ranges , averages and medians of significant unobservable inputs used to value the firm 2019s level 3 derivatives .
level 3 assets ( liabilities ) and range of significant unobservable inputs ( average/median ) as of december $ in millions 2017 2016 .

Table:
$ in millions	level 3 assets ( liabilities ) and range of significant unobservable inputs ( average/median ) as of december 2017	level 3 assets ( liabilities ) and range of significant unobservable inputs ( average/median ) as of december 2016
interest rates net	$ -410 ( 410 )	$ -381 ( 381 )
correlation	( 10 ) % (  % ) to 95% ( 95 % ) ( 71%/79% ( 71%/79 % ) )	( 10 ) % (  % ) to 86% ( 86 % ) ( 56%/60% ( 56%/60 % ) )
volatility ( bps )	31 to 150 ( 84/78 )	31 to 151 ( 84/57 )
credit net	$ 1505	$ 2504
correlation	28% ( 28 % ) to 84% ( 84 % ) ( 61%/60% ( 61%/60 % ) )	35% ( 35 % ) to 91% ( 91 % ) ( 65%/68% ( 65%/68 % ) )
credit spreads ( bps )	1 to 633 ( 69/42 )	1 to 993 ( 122/73 )
upfront credit points	0 to 97 ( 42/38 )	0 to 100 ( 43/35 )
recovery rates	22% ( 22 % ) to 73% ( 73 % ) ( 68%/73% ( 68%/73 % ) )	1% ( 1 % ) to 97% ( 97 % ) ( 58%/70% ( 58%/70 % ) )
currencies net	$ -181 ( 181 )	$ 3
correlation	49% ( 49 % ) to 72% ( 72 % ) ( 61%/62% ( 61%/62 % ) )	25% ( 25 % ) to 70% ( 70 % ) ( 50%/55% ( 50%/55 % ) )
commodities net	$ 47	$ 73
volatility	9% ( 9 % ) to 79% ( 79 % ) ( 24%/24% ( 24%/24 % ) )	13% ( 13 % ) to 68% ( 68 % ) ( 33%/33% ( 33%/33 % ) )
natural gas spread	$ ( 2.38 ) to $ 3.34 ( $ ( 0.22 ) /$ ( 0.12 ) )	$ ( 1.81 ) to $ 4.33 ( $ ( 0.14 ) /$ ( 0.05 ) )
oil spread	$ ( 2.86 ) to $ 23.61 ( $ 6.47/$ 2.35 )	$ ( 19.72 ) to $ 64.92 ( $ 25.30/$ 16.43 )
equities net	$ -1249 ( 1249 )	$ -3416 ( 3416 )
correlation	( 36 ) % (  % ) to 94% ( 94 % ) ( 50%/52% ( 50%/52 % ) )	( 39 ) % (  % ) to 88% ( 88 % ) ( 41%/41% ( 41%/41 % ) )
volatility	4% ( 4 % ) to 72% ( 72 % ) ( 24%/22% ( 24%/22 % ) )	5% ( 5 % ) to 72% ( 72 % ) ( 24%/23% ( 24%/23 % ) )

Post-table text:
in the table above : 2030 derivative assets are shown as positive amounts and derivative liabilities are shown as negative amounts .
2030 ranges represent the significant unobservable inputs that were used in the valuation of each type of derivative .
2030 averages represent the arithmetic average of the inputs and are not weighted by the relative fair value or notional of the respective financial instruments .
an average greater than the median indicates that the majority of inputs are below the average .
for example , the difference between the average and the median for credit spreads and oil spread inputs indicates that the majority of the inputs fall in the lower end of the range .
2030 the ranges , averages and medians of these inputs are not representative of the appropriate inputs to use when calculating the fair value of any one derivative .
for example , the highest correlation for interest rate derivatives is appropriate for valuing a specific interest rate derivative but may not be appropriate for valuing any other interest rate derivative .
accordingly , the ranges of inputs do not represent uncertainty in , or possible ranges of , fair value measurements of the firm 2019s level 3 derivatives .
2030 interest rates , currencies and equities derivatives are valued using option pricing models , credit derivatives are valued using option pricing , correlation and discounted cash flow models , and commodities derivatives are valued using option pricing and discounted cash flow models .
2030 the fair value of any one instrument may be determined using multiple valuation techniques .
for example , option pricing models and discounted cash flows models are typically used together to determine fair value .
therefore , the level 3 balance encompasses both of these techniques .
2030 correlation within currencies and equities includes cross- product type correlation .
2030 natural gas spread represents the spread per million british thermal units of natural gas .
2030 oil spread represents the spread per barrel of oil and refined products .
range of significant unobservable inputs the following is information about the ranges of significant unobservable inputs used to value the firm 2019s level 3 derivative instruments : 2030 correlation .
ranges for correlation cover a variety of underliers both within one product type ( e.g. , equity index and equity single stock names ) and across product types ( e.g. , correlation of an interest rate and a currency ) , as well as across regions .
generally , cross-product type correlation inputs are used to value more complex instruments and are lower than correlation inputs on assets within the same derivative product type .
2030 volatility .
ranges for volatility cover numerous underliers across a variety of markets , maturities and strike prices .
for example , volatility of equity indices is generally lower than volatility of single stocks .
2030 credit spreads , upfront credit points and recovery rates .
the ranges for credit spreads , upfront credit points and recovery rates cover a variety of underliers ( index and single names ) , regions , sectors , maturities and credit qualities ( high-yield and investment-grade ) .
the broad range of this population gives rise to the width of the ranges of significant unobservable inputs .
130 goldman sachs 2017 form 10-k .

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

Return JSON only in this form:
{"program_tokens": ["subtract(", "5829", "5735", ")", "EOF"]}
For number_turn cases, a valid program can also be a single numeric token followed by EOF, for example {"program_tokens": ["206588", "EOF"]}.


[System] You are solving conversational numerical reasoning over financial reports. Use only the current question, dialogue history, 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-family DSL program tokens ending with "EOF". Do not return the final answer directly and do not include extra text.

[User]
Current question:
what is the difference in segment revenue from 2008 to 2009?

Dialogue history:
[Turn 1] what is the difference in segment revenue from 2008 to 2009?

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

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

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

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

Return JSON only in this form:
{"program_tokens": ["subtract(", "5829", "5735", ")", "EOF"]}
For number_turn cases, a valid program can also be a single numeric token followed by EOF, for example {"program_tokens": ["206588", "EOF"]}.


[System] You are solving conversational numerical reasoning over financial reports. Use only the current question, dialogue history, 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-family DSL program tokens ending with "EOF". Do not return the final answer directly and do not include extra text.

[User]
Current question:
what is the 2008 value?

Dialogue history:
[Turn 1] what is the difference in segment revenue from 2008 to 2009?
[Turn 2] what is the 2008 value?

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

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

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

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

Return JSON only in this form:
{"program_tokens": ["subtract(", "5829", "5735", ")", "EOF"]}
For number_turn cases, a valid program can also be a single numeric token followed by EOF, for example {"program_tokens": ["206588", "EOF"]}.


[System] You are solving conversational numerical reasoning over financial reports. Use only the current question, dialogue history, 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-family DSL program tokens ending with "EOF". Do not return the final answer directly and do not include extra text.

[User]
Current question:
what is the net change over the 2008 value?

Dialogue history:
[Turn 1] what is the difference in segment revenue from 2008 to 2009?
[Turn 2] what is the 2008 value?
[Turn 3] what is the net change over the 2008 value?

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

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

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

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

Return JSON only in this form:
{"program_tokens": ["subtract(", "5829", "5735", ")", "EOF"]}
For number_turn cases, a valid program can also be a single numeric token followed by EOF, for example {"program_tokens": ["206588", "EOF"]}.


[System] You are solving conversational numerical reasoning over financial reports. Use only the current question, dialogue history, 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-family DSL program tokens ending with "EOF". Do not return the final answer directly and do not include extra text.

[User]
Current question:
what is the increased rent after five years?

Dialogue history:
[Turn 1] what is the increased rent after five years?

Pre-table text:
used to refinance certain indebtedness which matured in the fourth quarter of 2014 .
interest is payable semi-annually in arrears on march 18 and september 18 of each year , or approximately $ 35 million per year .
the 2024 notes may be redeemed prior to maturity at any time in whole or in part at the option of the company at a 201cmake-whole 201d redemption price .
the unamortized discount and debt issuance costs are being amortized over the remaining term of the 2024 notes .
2022 notes .
in may 2012 , the company issued $ 1.5 billion in aggregate principal amount of unsecured unsubordinated obligations .
these notes were issued as two separate series of senior debt securities , including $ 750 million of 1.375% ( 1.375 % ) notes , which were repaid in june 2015 at maturity , and $ 750 million of 3.375% ( 3.375 % ) notes maturing in june 2022 ( the 201c2022 notes 201d ) .
net proceeds were used to fund the repurchase of blackrock 2019s common stock and series b preferred from barclays and affiliates and for general corporate purposes .
interest on the 2022 notes of approximately $ 25 million per year is payable semi-annually on june 1 and december 1 of each year .
the 2022 notes may be redeemed prior to maturity at any time in whole or in part at the option of the company at a 201cmake-whole 201d redemption price .
the 201cmake-whole 201d redemption price represents a price , subject to the specific terms of the 2022 notes and related indenture , that is the greater of ( a ) par value and ( b ) the present value of future payments that will not be paid because of an early redemption , which is discounted at a fixed spread over a comparable treasury security .
the unamortized discount and debt issuance costs are being amortized over the remaining term of the 2022 notes .
2021 notes .
in may 2011 , the company issued $ 1.5 billion in aggregate principal amount of unsecured unsubordinated obligations .
these notes were issued as two separate series of senior debt securities , including $ 750 million of 4.25% ( 4.25 % ) notes maturing in may 2021 and $ 750 million of floating rate notes , which were repaid in may 2013 at maturity .
net proceeds of this offering were used to fund the repurchase of blackrock 2019s series b preferred from affiliates of merrill lynch & co. , inc .
interest on the 4.25% ( 4.25 % ) notes due in 2021 ( 201c2021 notes 201d ) is payable semi-annually on may 24 and november 24 of each year , and is approximately $ 32 million per year .
the 2021 notes may be redeemed prior to maturity at any time in whole or in part at the option of the company at a 201cmake-whole 201d redemption price .
the unamortized discount and debt issuance costs are being amortized over the remaining term of the 2021 notes .
2019 notes .
in december 2009 , the company issued $ 2.5 billion in aggregate principal amount of unsecured and unsubordinated obligations .
these notes were issued as three separate series of senior debt securities including $ 0.5 billion of 2.25% ( 2.25 % ) notes , which were repaid in december 2012 , $ 1.0 billion of 3.50% ( 3.50 % ) notes , which were repaid in december 2014 at maturity , and $ 1.0 billion of 5.0% ( 5.0 % ) notes maturing in december 2019 ( the 201c2019 notes 201d ) .
net proceeds of this offering were used to repay borrowings under the cp program , which was used to finance a portion of the acquisition of barclays global investors from barclays on december 1 , 2009 , and for general corporate purposes .
interest on the 2019 notes of approximately $ 50 million per year is payable semi-annually in arrears on june 10 and december 10 of each year .
these notes may be redeemed prior to maturity at any time in whole or in part at the option of the company at a 201cmake-whole 201d redemption price .
the unamortized discount and debt issuance costs are being amortized over the remaining term of the 2019 notes .
13 .
commitments and contingencies operating lease commitments the company leases its primary office spaces under agreements that expire through 2043 .
future minimum commitments under these operating leases are as follows : ( in millions ) .

Table:
year	amount
2018	141
2019	132
2020	126
2021	118
2022	109
thereafter	1580
total	$ 2206

Post-table text:
in may 2017 , the company entered into an agreement with 50 hymc owner llc , for the lease of approximately 847000 square feet of office space located at 50 hudson yards , new york , new york .
the term of the lease is twenty years from the date that rental payments begin , expected to occur in may 2023 , with the option to renew for a specified term .
the lease requires annual base rental payments of approximately $ 51 million per year during the first five years of the lease term , increasing every five years to $ 58 million , $ 66 million and $ 74 million per year ( or approximately $ 1.2 billion in base rent over its twenty-year term ) .
this lease is classified as an operating lease and , as such , is not recorded as a liability on the consolidated statements of financial condition .
rent expense and certain office equipment expense under lease agreements amounted to $ 132 million , $ 134 million and $ 136 million in 2017 , 2016 and 2015 , respectively .
investment commitments .
at december 31 , 2017 , the company had $ 298 million of various capital commitments to fund sponsored investment funds , including consolidated vies .
these funds include private equity funds , real assets funds , and opportunistic funds .
this amount excludes additional commitments made by consolidated funds of funds to underlying third-party funds as third-party noncontrolling interest holders have the legal obligation to fund the respective commitments of such funds of funds .
generally , the timing of the funding of these commitments is unknown and the commitments are callable on demand at any time prior to the expiration of the commitment .
these unfunded commitments are not recorded on the consolidated statements of financial condition .
these commitments do not include potential future commitments approved by the company that are not yet legally binding .
the company intends to make additional capital commitments from time to time to fund additional investment products for , and with , its clients .
contingencies contingent payments related to business acquisitions .
in connection with certain acquisitions , blackrock is required to make contingent payments , subject to achieving specified performance targets , which may include revenue related to acquired contracts or new capital commitments for certain products .
the fair value of the remaining aggregate contingent payments at december 31 , 2017 totaled $ 236 million , including $ 128 million related to the first reserve transaction , and is included in other liabilities on the consolidated statements of financial condition. .

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

Return JSON only in this form:
{"program_tokens": ["subtract(", "5829", "5735", ")", "EOF"]}
For number_turn cases, a valid program can also be a single numeric token followed by EOF, for example {"program_tokens": ["206588", "EOF"]}.


[System] You are solving conversational numerical reasoning over financial reports. Use only the current question, dialogue history, 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-family DSL program tokens ending with "EOF". Do not return the final answer directly and do not include extra text.

[User]
Current question:
and the base rental during the first five years?

Dialogue history:
[Turn 1] what is the increased rent after five years?
[Turn 2] and the base rental during the first five years?

Pre-table text:
used to refinance certain indebtedness which matured in the fourth quarter of 2014 .
interest is payable semi-annually in arrears on march 18 and september 18 of each year , or approximately $ 35 million per year .
the 2024 notes may be redeemed prior to maturity at any time in whole or in part at the option of the company at a 201cmake-whole 201d redemption price .
the unamortized discount and debt issuance costs are being amortized over the remaining term of the 2024 notes .
2022 notes .
in may 2012 , the company issued $ 1.5 billion in aggregate principal amount of unsecured unsubordinated obligations .
these notes were issued as two separate series of senior debt securities , including $ 750 million of 1.375% ( 1.375 % ) notes , which were repaid in june 2015 at maturity , and $ 750 million of 3.375% ( 3.375 % ) notes maturing in june 2022 ( the 201c2022 notes 201d ) .
net proceeds were used to fund the repurchase of blackrock 2019s common stock and series b preferred from barclays and affiliates and for general corporate purposes .
interest on the 2022 notes of approximately $ 25 million per year is payable semi-annually on june 1 and december 1 of each year .
the 2022 notes may be redeemed prior to maturity at any time in whole or in part at the option of the company at a 201cmake-whole 201d redemption price .
the 201cmake-whole 201d redemption price represents a price , subject to the specific terms of the 2022 notes and related indenture , that is the greater of ( a ) par value and ( b ) the present value of future payments that will not be paid because of an early redemption , which is discounted at a fixed spread over a comparable treasury security .
the unamortized discount and debt issuance costs are being amortized over the remaining term of the 2022 notes .
2021 notes .
in may 2011 , the company issued $ 1.5 billion in aggregate principal amount of unsecured unsubordinated obligations .
these notes were issued as two separate series of senior debt securities , including $ 750 million of 4.25% ( 4.25 % ) notes maturing in may 2021 and $ 750 million of floating rate notes , which were repaid in may 2013 at maturity .
net proceeds of this offering were used to fund the repurchase of blackrock 2019s series b preferred from affiliates of merrill lynch & co. , inc .
interest on the 4.25% ( 4.25 % ) notes due in 2021 ( 201c2021 notes 201d ) is payable semi-annually on may 24 and november 24 of each year , and is approximately $ 32 million per year .
the 2021 notes may be redeemed prior to maturity at any time in whole or in part at the option of the company at a 201cmake-whole 201d redemption price .
the unamortized discount and debt issuance costs are being amortized over the remaining term of the 2021 notes .
2019 notes .
in december 2009 , the company issued $ 2.5 billion in aggregate principal amount of unsecured and unsubordinated obligations .
these notes were issued as three separate series of senior debt securities including $ 0.5 billion of 2.25% ( 2.25 % ) notes , which were repaid in december 2012 , $ 1.0 billion of 3.50% ( 3.50 % ) notes , which were repaid in december 2014 at maturity , and $ 1.0 billion of 5.0% ( 5.0 % ) notes maturing in december 2019 ( the 201c2019 notes 201d ) .
net proceeds of this offering were used to repay borrowings under the cp program , which was used to finance a portion of the acquisition of barclays global investors from barclays on december 1 , 2009 , and for general corporate purposes .
interest on the 2019 notes of approximately $ 50 million per year is payable semi-annually in arrears on june 10 and december 10 of each year .
these notes may be redeemed prior to maturity at any time in whole or in part at the option of the company at a 201cmake-whole 201d redemption price .
the unamortized discount and debt issuance costs are being amortized over the remaining term of the 2019 notes .
13 .
commitments and contingencies operating lease commitments the company leases its primary office spaces under agreements that expire through 2043 .
future minimum commitments under these operating leases are as follows : ( in millions ) .

Table:
year	amount
2018	141
2019	132
2020	126
2021	118
2022	109
thereafter	1580
total	$ 2206

Post-table text:
in may 2017 , the company entered into an agreement with 50 hymc owner llc , for the lease of approximately 847000 square feet of office space located at 50 hudson yards , new york , new york .
the term of the lease is twenty years from the date that rental payments begin , expected to occur in may 2023 , with the option to renew for a specified term .
the lease requires annual base rental payments of approximately $ 51 million per year during the first five years of the lease term , increasing every five years to $ 58 million , $ 66 million and $ 74 million per year ( or approximately $ 1.2 billion in base rent over its twenty-year term ) .
this lease is classified as an operating lease and , as such , is not recorded as a liability on the consolidated statements of financial condition .
rent expense and certain office equipment expense under lease agreements amounted to $ 132 million , $ 134 million and $ 136 million in 2017 , 2016 and 2015 , respectively .
investment commitments .
at december 31 , 2017 , the company had $ 298 million of various capital commitments to fund sponsored investment funds , including consolidated vies .
these funds include private equity funds , real assets funds , and opportunistic funds .
this amount excludes additional commitments made by consolidated funds of funds to underlying third-party funds as third-party noncontrolling interest holders have the legal obligation to fund the respective commitments of such funds of funds .
generally , the timing of the funding of these commitments is unknown and the commitments are callable on demand at any time prior to the expiration of the commitment .
these unfunded commitments are not recorded on the consolidated statements of financial condition .
these commitments do not include potential future commitments approved by the company that are not yet legally binding .
the company intends to make additional capital commitments from time to time to fund additional investment products for , and with , its clients .
contingencies contingent payments related to business acquisitions .
in connection with certain acquisitions , blackrock is required to make contingent payments , subject to achieving specified performance targets , which may include revenue related to acquired contracts or new capital commitments for certain products .
the fair value of the remaining aggregate contingent payments at december 31 , 2017 totaled $ 236 million , including $ 128 million related to the first reserve transaction , and is included in other liabilities on the consolidated statements of financial condition. .

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

Return JSON only in this form:
{"program_tokens": ["subtract(", "5829", "5735", ")", "EOF"]}
For number_turn cases, a valid program can also be a single numeric token followed by EOF, for example {"program_tokens": ["206588", "EOF"]}.


[System] You are solving conversational numerical reasoning over financial reports. Use only the current question, dialogue history, 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-family DSL program tokens ending with "EOF". Do not return the final answer directly and do not include extra text.

[User]
Current question:
so what was the difference between these two values?

Dialogue history:
[Turn 1] what is the increased rent after five years?
[Turn 2] and the base rental during the first five years?
[Turn 3] so what was the difference between these two values?

Pre-table text:
used to refinance certain indebtedness which matured in the fourth quarter of 2014 .
interest is payable semi-annually in arrears on march 18 and september 18 of each year , or approximately $ 35 million per year .
the 2024 notes may be redeemed prior to maturity at any time in whole or in part at the option of the company at a 201cmake-whole 201d redemption price .
the unamortized discount and debt issuance costs are being amortized over the remaining term of the 2024 notes .
2022 notes .
in may 2012 , the company issued $ 1.5 billion in aggregate principal amount of unsecured unsubordinated obligations .
these notes were issued as two separate series of senior debt securities , including $ 750 million of 1.375% ( 1.375 % ) notes , which were repaid in june 2015 at maturity , and $ 750 million of 3.375% ( 3.375 % ) notes maturing in june 2022 ( the 201c2022 notes 201d ) .
net proceeds were used to fund the repurchase of blackrock 2019s common stock and series b preferred from barclays and affiliates and for general corporate purposes .
interest on the 2022 notes of approximately $ 25 million per year is payable semi-annually on june 1 and december 1 of each year .
the 2022 notes may be redeemed prior to maturity at any time in whole or in part at the option of the company at a 201cmake-whole 201d redemption price .
the 201cmake-whole 201d redemption price represents a price , subject to the specific terms of the 2022 notes and related indenture , that is the greater of ( a ) par value and ( b ) the present value of future payments that will not be paid because of an early redemption , which is discounted at a fixed spread over a comparable treasury security .
the unamortized discount and debt issuance costs are being amortized over the remaining term of the 2022 notes .
2021 notes .
in may 2011 , the company issued $ 1.5 billion in aggregate principal amount of unsecured unsubordinated obligations .
these notes were issued as two separate series of senior debt securities , including $ 750 million of 4.25% ( 4.25 % ) notes maturing in may 2021 and $ 750 million of floating rate notes , which were repaid in may 2013 at maturity .
net proceeds of this offering were used to fund the repurchase of blackrock 2019s series b preferred from affiliates of merrill lynch & co. , inc .
interest on the 4.25% ( 4.25 % ) notes due in 2021 ( 201c2021 notes 201d ) is payable semi-annually on may 24 and november 24 of each year , and is approximately $ 32 million per year .
the 2021 notes may be redeemed prior to maturity at any time in whole or in part at the option of the company at a 201cmake-whole 201d redemption price .
the unamortized discount and debt issuance costs are being amortized over the remaining term of the 2021 notes .
2019 notes .
in december 2009 , the company issued $ 2.5 billion in aggregate principal amount of unsecured and unsubordinated obligations .
these notes were issued as three separate series of senior debt securities including $ 0.5 billion of 2.25% ( 2.25 % ) notes , which were repaid in december 2012 , $ 1.0 billion of 3.50% ( 3.50 % ) notes , which were repaid in december 2014 at maturity , and $ 1.0 billion of 5.0% ( 5.0 % ) notes maturing in december 2019 ( the 201c2019 notes 201d ) .
net proceeds of this offering were used to repay borrowings under the cp program , which was used to finance a portion of the acquisition of barclays global investors from barclays on december 1 , 2009 , and for general corporate purposes .
interest on the 2019 notes of approximately $ 50 million per year is payable semi-annually in arrears on june 10 and december 10 of each year .
these notes may be redeemed prior to maturity at any time in whole or in part at the option of the company at a 201cmake-whole 201d redemption price .
the unamortized discount and debt issuance costs are being amortized over the remaining term of the 2019 notes .
13 .
commitments and contingencies operating lease commitments the company leases its primary office spaces under agreements that expire through 2043 .
future minimum commitments under these operating leases are as follows : ( in millions ) .

Table:
year	amount
2018	141
2019	132
2020	126
2021	118
2022	109
thereafter	1580
total	$ 2206

Post-table text:
in may 2017 , the company entered into an agreement with 50 hymc owner llc , for the lease of approximately 847000 square feet of office space located at 50 hudson yards , new york , new york .
the term of the lease is twenty years from the date that rental payments begin , expected to occur in may 2023 , with the option to renew for a specified term .
the lease requires annual base rental payments of approximately $ 51 million per year during the first five years of the lease term , increasing every five years to $ 58 million , $ 66 million and $ 74 million per year ( or approximately $ 1.2 billion in base rent over its twenty-year term ) .
this lease is classified as an operating lease and , as such , is not recorded as a liability on the consolidated statements of financial condition .
rent expense and certain office equipment expense under lease agreements amounted to $ 132 million , $ 134 million and $ 136 million in 2017 , 2016 and 2015 , respectively .
investment commitments .
at december 31 , 2017 , the company had $ 298 million of various capital commitments to fund sponsored investment funds , including consolidated vies .
these funds include private equity funds , real assets funds , and opportunistic funds .
this amount excludes additional commitments made by consolidated funds of funds to underlying third-party funds as third-party noncontrolling interest holders have the legal obligation to fund the respective commitments of such funds of funds .
generally , the timing of the funding of these commitments is unknown and the commitments are callable on demand at any time prior to the expiration of the commitment .
these unfunded commitments are not recorded on the consolidated statements of financial condition .
these commitments do not include potential future commitments approved by the company that are not yet legally binding .
the company intends to make additional capital commitments from time to time to fund additional investment products for , and with , its clients .
contingencies contingent payments related to business acquisitions .
in connection with certain acquisitions , blackrock is required to make contingent payments , subject to achieving specified performance targets , which may include revenue related to acquired contracts or new capital commitments for certain products .
the fair value of the remaining aggregate contingent payments at december 31 , 2017 totaled $ 236 million , including $ 128 million related to the first reserve transaction , and is included in other liabilities on the consolidated statements of financial condition. .

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

Return JSON only in this form:
{"program_tokens": ["subtract(", "5829", "5735", ")", "EOF"]}
For number_turn cases, a valid program can also be a single numeric token followed by EOF, for example {"program_tokens": ["206588", "EOF"]}.


[System] You are solving conversational numerical reasoning over financial reports. Use only the current question, dialogue history, 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-family DSL program tokens ending with "EOF". Do not return the final answer directly and do not include extra text.

[User]
Current question:
and the growth rate of this value?

Dialogue history:
[Turn 1] what is the increased rent after five years?
[Turn 2] and the base rental during the first five years?
[Turn 3] so what was the difference between these two values?
[Turn 4] and the growth rate of this value?

Pre-table text:
used to refinance certain indebtedness which matured in the fourth quarter of 2014 .
interest is payable semi-annually in arrears on march 18 and september 18 of each year , or approximately $ 35 million per year .
the 2024 notes may be redeemed prior to maturity at any time in whole or in part at the option of the company at a 201cmake-whole 201d redemption price .
the unamortized discount and debt issuance costs are being amortized over the remaining term of the 2024 notes .
2022 notes .
in may 2012 , the company issued $ 1.5 billion in aggregate principal amount of unsecured unsubordinated obligations .
these notes were issued as two separate series of senior debt securities , including $ 750 million of 1.375% ( 1.375 % ) notes , which were repaid in june 2015 at maturity , and $ 750 million of 3.375% ( 3.375 % ) notes maturing in june 2022 ( the 201c2022 notes 201d ) .
net proceeds were used to fund the repurchase of blackrock 2019s common stock and series b preferred from barclays and affiliates and for general corporate purposes .
interest on the 2022 notes of approximately $ 25 million per year is payable semi-annually on june 1 and december 1 of each year .
the 2022 notes may be redeemed prior to maturity at any time in whole or in part at the option of the company at a 201cmake-whole 201d redemption price .
the 201cmake-whole 201d redemption price represents a price , subject to the specific terms of the 2022 notes and related indenture , that is the greater of ( a ) par value and ( b ) the present value of future payments that will not be paid because of an early redemption , which is discounted at a fixed spread over a comparable treasury security .
the unamortized discount and debt issuance costs are being amortized over the remaining term of the 2022 notes .
2021 notes .
in may 2011 , the company issued $ 1.5 billion in aggregate principal amount of unsecured unsubordinated obligations .
these notes were issued as two separate series of senior debt securities , including $ 750 million of 4.25% ( 4.25 % ) notes maturing in may 2021 and $ 750 million of floating rate notes , which were repaid in may 2013 at maturity .
net proceeds of this offering were used to fund the repurchase of blackrock 2019s series b preferred from affiliates of merrill lynch & co. , inc .
interest on the 4.25% ( 4.25 % ) notes due in 2021 ( 201c2021 notes 201d ) is payable semi-annually on may 24 and november 24 of each year , and is approximately $ 32 million per year .
the 2021 notes may be redeemed prior to maturity at any time in whole or in part at the option of the company at a 201cmake-whole 201d redemption price .
the unamortized discount and debt issuance costs are being amortized over the remaining term of the 2021 notes .
2019 notes .
in december 2009 , the company issued $ 2.5 billion in aggregate principal amount of unsecured and unsubordinated obligations .
these notes were issued as three separate series of senior debt securities including $ 0.5 billion of 2.25% ( 2.25 % ) notes , which were repaid in december 2012 , $ 1.0 billion of 3.50% ( 3.50 % ) notes , which were repaid in december 2014 at maturity , and $ 1.0 billion of 5.0% ( 5.0 % ) notes maturing in december 2019 ( the 201c2019 notes 201d ) .
net proceeds of this offering were used to repay borrowings under the cp program , which was used to finance a portion of the acquisition of barclays global investors from barclays on december 1 , 2009 , and for general corporate purposes .
interest on the 2019 notes of approximately $ 50 million per year is payable semi-annually in arrears on june 10 and december 10 of each year .
these notes may be redeemed prior to maturity at any time in whole or in part at the option of the company at a 201cmake-whole 201d redemption price .
the unamortized discount and debt issuance costs are being amortized over the remaining term of the 2019 notes .
13 .
commitments and contingencies operating lease commitments the company leases its primary office spaces under agreements that expire through 2043 .
future minimum commitments under these operating leases are as follows : ( in millions ) .

Table:
year	amount
2018	141
2019	132
2020	126
2021	118
2022	109
thereafter	1580
total	$ 2206

Post-table text:
in may 2017 , the company entered into an agreement with 50 hymc owner llc , for the lease of approximately 847000 square feet of office space located at 50 hudson yards , new york , new york .
the term of the lease is twenty years from the date that rental payments begin , expected to occur in may 2023 , with the option to renew for a specified term .
the lease requires annual base rental payments of approximately $ 51 million per year during the first five years of the lease term , increasing every five years to $ 58 million , $ 66 million and $ 74 million per year ( or approximately $ 1.2 billion in base rent over its twenty-year term ) .
this lease is classified as an operating lease and , as such , is not recorded as a liability on the consolidated statements of financial condition .
rent expense and certain office equipment expense under lease agreements amounted to $ 132 million , $ 134 million and $ 136 million in 2017 , 2016 and 2015 , respectively .
investment commitments .
at december 31 , 2017 , the company had $ 298 million of various capital commitments to fund sponsored investment funds , including consolidated vies .
these funds include private equity funds , real assets funds , and opportunistic funds .
this amount excludes additional commitments made by consolidated funds of funds to underlying third-party funds as third-party noncontrolling interest holders have the legal obligation to fund the respective commitments of such funds of funds .
generally , the timing of the funding of these commitments is unknown and the commitments are callable on demand at any time prior to the expiration of the commitment .
these unfunded commitments are not recorded on the consolidated statements of financial condition .
these commitments do not include potential future commitments approved by the company that are not yet legally binding .
the company intends to make additional capital commitments from time to time to fund additional investment products for , and with , its clients .
contingencies contingent payments related to business acquisitions .
in connection with certain acquisitions , blackrock is required to make contingent payments , subject to achieving specified performance targets , which may include revenue related to acquired contracts or new capital commitments for certain products .
the fair value of the remaining aggregate contingent payments at december 31 , 2017 totaled $ 236 million , including $ 128 million related to the first reserve transaction , and is included in other liabilities on the consolidated statements of financial condition. .

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

Return JSON only in this form:
{"program_tokens": ["subtract(", "5829", "5735", ")", "EOF"]}
For number_turn cases, a valid program can also be a single numeric token followed by EOF, for example {"program_tokens": ["206588", "EOF"]}.