[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 number of towers bought?

Dialogue history:
[Turn 1] what was the total cost of the all the towers in the mtn group acquisition, in millions of dollars?
[Turn 2] and what is that in dollars?
[Turn 3] and what was the number of towers bought?

Pre-table text:
american tower corporation and subsidiaries notes to consolidated financial statements ( 3 ) consists of customer-related intangibles of approximately $ 15.5 million and network location intangibles of approximately $ 19.8 million .
the customer-related intangibles and network location intangibles are being amortized on a straight-line basis over periods of up to 20 years .
( 4 ) the company expects that the goodwill recorded will be deductible for tax purposes .
the goodwill was allocated to the company 2019s international rental and management segment .
uganda acquisition 2014on december 8 , 2011 , the company entered into a definitive agreement with mtn group to establish a joint venture in uganda .
the joint venture is controlled by a holding company of which a wholly owned subsidiary of the company ( the 201catc uganda subsidiary 201d ) holds a 51% ( 51 % ) interest and a wholly owned subsidiary of mtn group ( the 201cmtn uganda subsidiary 201d ) holds a 49% ( 49 % ) interest .
the joint venture is managed and controlled by the company and owns a tower operations company in uganda .
pursuant to the agreement , the joint venture agreed to purchase a total of up to 1000 existing communications sites from mtn group 2019s operating subsidiary in uganda , subject to customary closing conditions .
on june 29 , 2012 , the joint venture acquired 962 communications sites for an aggregate purchase price of $ 171.5 million , subject to post-closing adjustments .
the aggregate purchase price was subsequently increased to $ 173.2 million , subject to future post-closing adjustments .
under the terms of the purchase agreement , legal title to certain of these communications sites will be transferred upon fulfillment of certain conditions by mtn group .
prior to the fulfillment of these conditions , the company will operate and maintain control of these communications sites , and accordingly , reflect these sites in the allocation of purchase price and the consolidated operating results .
the following table summarizes the preliminary allocation of the aggregate purchase price consideration paid and the amounts of assets acquired and liabilities assumed based upon their estimated fair value at the date of acquisition ( in thousands ) : preliminary purchase price allocation .

Table:
	preliminary purchase price allocation
non-current assets	$ 2258
property and equipment	102366
intangible assets ( 1 )	63500
other non-current liabilities	-7528 ( 7528 )
fair value of net assets acquired	$ 160596
goodwill ( 2 )	12564

Post-table text:
( 1 ) consists of customer-related intangibles of approximately $ 36.5 million and network location intangibles of approximately $ 27.0 million .
the customer-related intangibles and network location intangibles are being amortized on a straight-line basis over periods of up to 20 years .
( 2 ) the company expects that the goodwill recorded will be not be deductible for tax purposes .
the goodwill was allocated to the company 2019s international rental and management segment .
germany acquisition 2014on november 14 , 2012 , the company entered into a definitive agreement to purchase communications sites from e-plus mobilfunk gmbh & co .
kg .
on december 4 , 2012 , the company completed the purchase of 2031 communications sites , for an aggregate purchase price of $ 525.7 million. .

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

Return JSON only in this form:
{"program_tokens": ["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, their average price?

Dialogue history:
[Turn 1] what was the total cost of the all the towers in the mtn group acquisition, in millions of dollars?
[Turn 2] and what is that in dollars?
[Turn 3] and what was the number of towers bought?
[Turn 4] what was, then, their average price?

Pre-table text:
american tower corporation and subsidiaries notes to consolidated financial statements ( 3 ) consists of customer-related intangibles of approximately $ 15.5 million and network location intangibles of approximately $ 19.8 million .
the customer-related intangibles and network location intangibles are being amortized on a straight-line basis over periods of up to 20 years .
( 4 ) the company expects that the goodwill recorded will be deductible for tax purposes .
the goodwill was allocated to the company 2019s international rental and management segment .
uganda acquisition 2014on december 8 , 2011 , the company entered into a definitive agreement with mtn group to establish a joint venture in uganda .
the joint venture is controlled by a holding company of which a wholly owned subsidiary of the company ( the 201catc uganda subsidiary 201d ) holds a 51% ( 51 % ) interest and a wholly owned subsidiary of mtn group ( the 201cmtn uganda subsidiary 201d ) holds a 49% ( 49 % ) interest .
the joint venture is managed and controlled by the company and owns a tower operations company in uganda .
pursuant to the agreement , the joint venture agreed to purchase a total of up to 1000 existing communications sites from mtn group 2019s operating subsidiary in uganda , subject to customary closing conditions .
on june 29 , 2012 , the joint venture acquired 962 communications sites for an aggregate purchase price of $ 171.5 million , subject to post-closing adjustments .
the aggregate purchase price was subsequently increased to $ 173.2 million , subject to future post-closing adjustments .
under the terms of the purchase agreement , legal title to certain of these communications sites will be transferred upon fulfillment of certain conditions by mtn group .
prior to the fulfillment of these conditions , the company will operate and maintain control of these communications sites , and accordingly , reflect these sites in the allocation of purchase price and the consolidated operating results .
the following table summarizes the preliminary allocation of the aggregate purchase price consideration paid and the amounts of assets acquired and liabilities assumed based upon their estimated fair value at the date of acquisition ( in thousands ) : preliminary purchase price allocation .

Table:
	preliminary purchase price allocation
non-current assets	$ 2258
property and equipment	102366
intangible assets ( 1 )	63500
other non-current liabilities	-7528 ( 7528 )
fair value of net assets acquired	$ 160596
goodwill ( 2 )	12564

Post-table text:
( 1 ) consists of customer-related intangibles of approximately $ 36.5 million and network location intangibles of approximately $ 27.0 million .
the customer-related intangibles and network location intangibles are being amortized on a straight-line basis over periods of up to 20 years .
( 2 ) the company expects that the goodwill recorded will be not be deductible for tax purposes .
the goodwill was allocated to the company 2019s international rental and management segment .
germany acquisition 2014on november 14 , 2012 , the company entered into a definitive agreement to purchase communications sites from e-plus mobilfunk gmbh & co .
kg .
on december 4 , 2012 , the company completed the purchase of 2031 communications sites , for an aggregate purchase price of $ 525.7 million. .

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

Return JSON only in this form:
{"program_tokens": ["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 concerning that total cost, by how much did it change with the adjustments?

Dialogue history:
[Turn 1] what was the total cost of the all the towers in the mtn group acquisition, in millions of dollars?
[Turn 2] and what is that in dollars?
[Turn 3] and what was the number of towers bought?
[Turn 4] what was, then, their average price?
[Turn 5] and concerning that total cost, by how much did it change with the adjustments?

Pre-table text:
american tower corporation and subsidiaries notes to consolidated financial statements ( 3 ) consists of customer-related intangibles of approximately $ 15.5 million and network location intangibles of approximately $ 19.8 million .
the customer-related intangibles and network location intangibles are being amortized on a straight-line basis over periods of up to 20 years .
( 4 ) the company expects that the goodwill recorded will be deductible for tax purposes .
the goodwill was allocated to the company 2019s international rental and management segment .
uganda acquisition 2014on december 8 , 2011 , the company entered into a definitive agreement with mtn group to establish a joint venture in uganda .
the joint venture is controlled by a holding company of which a wholly owned subsidiary of the company ( the 201catc uganda subsidiary 201d ) holds a 51% ( 51 % ) interest and a wholly owned subsidiary of mtn group ( the 201cmtn uganda subsidiary 201d ) holds a 49% ( 49 % ) interest .
the joint venture is managed and controlled by the company and owns a tower operations company in uganda .
pursuant to the agreement , the joint venture agreed to purchase a total of up to 1000 existing communications sites from mtn group 2019s operating subsidiary in uganda , subject to customary closing conditions .
on june 29 , 2012 , the joint venture acquired 962 communications sites for an aggregate purchase price of $ 171.5 million , subject to post-closing adjustments .
the aggregate purchase price was subsequently increased to $ 173.2 million , subject to future post-closing adjustments .
under the terms of the purchase agreement , legal title to certain of these communications sites will be transferred upon fulfillment of certain conditions by mtn group .
prior to the fulfillment of these conditions , the company will operate and maintain control of these communications sites , and accordingly , reflect these sites in the allocation of purchase price and the consolidated operating results .
the following table summarizes the preliminary allocation of the aggregate purchase price consideration paid and the amounts of assets acquired and liabilities assumed based upon their estimated fair value at the date of acquisition ( in thousands ) : preliminary purchase price allocation .

Table:
	preliminary purchase price allocation
non-current assets	$ 2258
property and equipment	102366
intangible assets ( 1 )	63500
other non-current liabilities	-7528 ( 7528 )
fair value of net assets acquired	$ 160596
goodwill ( 2 )	12564

Post-table text:
( 1 ) consists of customer-related intangibles of approximately $ 36.5 million and network location intangibles of approximately $ 27.0 million .
the customer-related intangibles and network location intangibles are being amortized on a straight-line basis over periods of up to 20 years .
( 2 ) the company expects that the goodwill recorded will be not be deductible for tax purposes .
the goodwill was allocated to the company 2019s international rental and management segment .
germany acquisition 2014on november 14 , 2012 , the company entered into a definitive agreement to purchase communications sites from e-plus mobilfunk gmbh & co .
kg .
on december 4 , 2012 , the company completed the purchase of 2031 communications sites , for an aggregate purchase price of $ 525.7 million. .

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

Return JSON only in this form:
{"program_tokens": ["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 of total other assets was made of goodwill and identifiable intangible assets in 2012?

Dialogue history:
[Turn 1] what percentage of total other assets was made of goodwill and identifiable intangible assets in 2012?

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

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

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

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

Return JSON only in this form:
{"program_tokens": ["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 2011?

Dialogue history:
[Turn 1] what percentage of total other assets was made of goodwill and identifiable intangible assets in 2012?
[Turn 2] and in 2011?

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

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

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

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

Return JSON only in this form:
{"program_tokens": ["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 the total increase in the volume/weather segment from 2009 to 2010?

Dialogue history:
[Turn 1] what was the total increase in the volume/weather segment from 2009 to 2010?

Pre-table text:
entergy mississippi , inc .
management 2019s financial discussion and analysis 2010 compared to 2009 net revenue consists of operating revenues net of : 1 ) fuel , fuel-related expenses , and gas purchased for resale , 2 ) purchased power expenses , and 3 ) other regulatory charges ( credits ) .
following is an analysis of the change in net revenue comparing 2010 to 2009 .
amount ( in millions ) .

Table:
	amount ( in millions )
2009 net revenue	$ 536.7
volume/weather	18.9
other	-0.3 ( 0.3 )
2010 net revenue	$ 555.3

Post-table text:
the volume/weather variance is primarily due to an increase of 1046 gwh , or 8% ( 8 % ) , in billed electricity usage in all sectors , primarily due to the effect of more favorable weather on the residential sector .
gross operating revenues , fuel and purchased power expenses , and other regulatory charges ( credits ) gross operating revenues increased primarily due to an increase of $ 22 million in power management rider revenue as the result of higher rates , the volume/weather variance discussed above , and an increase in grand gulf rider revenue as a result of higher rates and increased usage , offset by a decrease of $ 23.5 million in fuel cost recovery revenues due to lower fuel rates .
fuel and purchased power expenses decreased primarily due to a decrease in deferred fuel expense as a result of prior over-collections , offset by an increase in the average market price of purchased power coupled with increased net area demand .
other regulatory charges increased primarily due to increased recovery of costs associated with the power management recovery rider .
other income statement variances 2011 compared to 2010 other operation and maintenance expenses decreased primarily due to : a $ 5.4 million decrease in compensation and benefits costs primarily resulting from an increase in the accrual for incentive-based compensation in 2010 and a decrease in stock option expense ; and the sale of $ 4.9 million of surplus oil inventory .
the decrease was partially offset by an increase of $ 3.9 million in legal expenses due to the deferral in 2010 of certain litigation expenses in accordance with regulatory treatment .
taxes other than income taxes increased primarily due to an increase in ad valorem taxes due to a higher 2011 assessment as compared to 2010 , partially offset by higher capitalized property taxes as compared with prior year .
depreciation and amortization expenses increased primarily due to an increase in plant in service .
interest expense decreased primarily due to a revision caused by ferc 2019s acceptance of a change in the treatment of funds received from independent power producers for transmission interconnection projects. .

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 is the average of this increase per gwh increased in the billed electricity usage?

Dialogue history:
[Turn 1] what was the total increase in the volume/weather segment from 2009 to 2010?
[Turn 2] and what is the average of this increase per gwh increased in the billed electricity usage?

Pre-table text:
entergy mississippi , inc .
management 2019s financial discussion and analysis 2010 compared to 2009 net revenue consists of operating revenues net of : 1 ) fuel , fuel-related expenses , and gas purchased for resale , 2 ) purchased power expenses , and 3 ) other regulatory charges ( credits ) .
following is an analysis of the change in net revenue comparing 2010 to 2009 .
amount ( in millions ) .

Table:
	amount ( in millions )
2009 net revenue	$ 536.7
volume/weather	18.9
other	-0.3 ( 0.3 )
2010 net revenue	$ 555.3

Post-table text:
the volume/weather variance is primarily due to an increase of 1046 gwh , or 8% ( 8 % ) , in billed electricity usage in all sectors , primarily due to the effect of more favorable weather on the residential sector .
gross operating revenues , fuel and purchased power expenses , and other regulatory charges ( credits ) gross operating revenues increased primarily due to an increase of $ 22 million in power management rider revenue as the result of higher rates , the volume/weather variance discussed above , and an increase in grand gulf rider revenue as a result of higher rates and increased usage , offset by a decrease of $ 23.5 million in fuel cost recovery revenues due to lower fuel rates .
fuel and purchased power expenses decreased primarily due to a decrease in deferred fuel expense as a result of prior over-collections , offset by an increase in the average market price of purchased power coupled with increased net area demand .
other regulatory charges increased primarily due to increased recovery of costs associated with the power management recovery rider .
other income statement variances 2011 compared to 2010 other operation and maintenance expenses decreased primarily due to : a $ 5.4 million decrease in compensation and benefits costs primarily resulting from an increase in the accrual for incentive-based compensation in 2010 and a decrease in stock option expense ; and the sale of $ 4.9 million of surplus oil inventory .
the decrease was partially offset by an increase of $ 3.9 million in legal expenses due to the deferral in 2010 of certain litigation expenses in accordance with regulatory treatment .
taxes other than income taxes increased primarily due to an increase in ad valorem taxes due to a higher 2011 assessment as compared to 2010 , partially offset by higher capitalized property taxes as compared with prior year .
depreciation and amortization expenses increased primarily due to an increase in plant in service .
interest expense decreased primarily due to a revision caused by ferc 2019s acceptance of a change in the treatment of funds received from independent power producers for transmission interconnection projects. .

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:
in that same period, what was the total change in the net revenue?

Dialogue history:
[Turn 1] what was the total increase in the volume/weather segment from 2009 to 2010?
[Turn 2] and what is the average of this increase per gwh increased in the billed electricity usage?
[Turn 3] in that same period, what was the total change in the net revenue?

Pre-table text:
entergy mississippi , inc .
management 2019s financial discussion and analysis 2010 compared to 2009 net revenue consists of operating revenues net of : 1 ) fuel , fuel-related expenses , and gas purchased for resale , 2 ) purchased power expenses , and 3 ) other regulatory charges ( credits ) .
following is an analysis of the change in net revenue comparing 2010 to 2009 .
amount ( in millions ) .

Table:
	amount ( in millions )
2009 net revenue	$ 536.7
volume/weather	18.9
other	-0.3 ( 0.3 )
2010 net revenue	$ 555.3

Post-table text:
the volume/weather variance is primarily due to an increase of 1046 gwh , or 8% ( 8 % ) , in billed electricity usage in all sectors , primarily due to the effect of more favorable weather on the residential sector .
gross operating revenues , fuel and purchased power expenses , and other regulatory charges ( credits ) gross operating revenues increased primarily due to an increase of $ 22 million in power management rider revenue as the result of higher rates , the volume/weather variance discussed above , and an increase in grand gulf rider revenue as a result of higher rates and increased usage , offset by a decrease of $ 23.5 million in fuel cost recovery revenues due to lower fuel rates .
fuel and purchased power expenses decreased primarily due to a decrease in deferred fuel expense as a result of prior over-collections , offset by an increase in the average market price of purchased power coupled with increased net area demand .
other regulatory charges increased primarily due to increased recovery of costs associated with the power management recovery rider .
other income statement variances 2011 compared to 2010 other operation and maintenance expenses decreased primarily due to : a $ 5.4 million decrease in compensation and benefits costs primarily resulting from an increase in the accrual for incentive-based compensation in 2010 and a decrease in stock option expense ; and the sale of $ 4.9 million of surplus oil inventory .
the decrease was partially offset by an increase of $ 3.9 million in legal expenses due to the deferral in 2010 of certain litigation expenses in accordance with regulatory treatment .
taxes other than income taxes increased primarily due to an increase in ad valorem taxes due to a higher 2011 assessment as compared to 2010 , partially offset by higher capitalized property taxes as compared with prior year .
depreciation and amortization expenses increased primarily due to an increase in plant in service .
interest expense decreased primarily due to a revision caused by ferc 2019s acceptance of a change in the treatment of funds received from independent power producers for transmission interconnection projects. .

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 is this change as a percentage of that net revenue in 2009?

Dialogue history:
[Turn 1] what was the total increase in the volume/weather segment from 2009 to 2010?
[Turn 2] and what is the average of this increase per gwh increased in the billed electricity usage?
[Turn 3] in that same period, what was the total change in the net revenue?
[Turn 4] and what is this change as a percentage of that net revenue in 2009?

Pre-table text:
entergy mississippi , inc .
management 2019s financial discussion and analysis 2010 compared to 2009 net revenue consists of operating revenues net of : 1 ) fuel , fuel-related expenses , and gas purchased for resale , 2 ) purchased power expenses , and 3 ) other regulatory charges ( credits ) .
following is an analysis of the change in net revenue comparing 2010 to 2009 .
amount ( in millions ) .

Table:
	amount ( in millions )
2009 net revenue	$ 536.7
volume/weather	18.9
other	-0.3 ( 0.3 )
2010 net revenue	$ 555.3

Post-table text:
the volume/weather variance is primarily due to an increase of 1046 gwh , or 8% ( 8 % ) , in billed electricity usage in all sectors , primarily due to the effect of more favorable weather on the residential sector .
gross operating revenues , fuel and purchased power expenses , and other regulatory charges ( credits ) gross operating revenues increased primarily due to an increase of $ 22 million in power management rider revenue as the result of higher rates , the volume/weather variance discussed above , and an increase in grand gulf rider revenue as a result of higher rates and increased usage , offset by a decrease of $ 23.5 million in fuel cost recovery revenues due to lower fuel rates .
fuel and purchased power expenses decreased primarily due to a decrease in deferred fuel expense as a result of prior over-collections , offset by an increase in the average market price of purchased power coupled with increased net area demand .
other regulatory charges increased primarily due to increased recovery of costs associated with the power management recovery rider .
other income statement variances 2011 compared to 2010 other operation and maintenance expenses decreased primarily due to : a $ 5.4 million decrease in compensation and benefits costs primarily resulting from an increase in the accrual for incentive-based compensation in 2010 and a decrease in stock option expense ; and the sale of $ 4.9 million of surplus oil inventory .
the decrease was partially offset by an increase of $ 3.9 million in legal expenses due to the deferral in 2010 of certain litigation expenses in accordance with regulatory treatment .
taxes other than income taxes increased primarily due to an increase in ad valorem taxes due to a higher 2011 assessment as compared to 2010 , partially offset by higher capitalized property taxes as compared with prior year .
depreciation and amortization expenses increased primarily due to an increase in plant in service .
interest expense decreased primarily due to a revision caused by ferc 2019s acceptance of a change in the treatment of funds received from independent power producers for transmission interconnection projects. .

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 the change in the investment income from 2011 to 2012?

Dialogue history:
[Turn 1] what was the change in the investment income from 2011 to 2012?

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

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

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

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

Return JSON only in this form:
{"program_tokens": ["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 how much does this change represent in relation to that income in 2011, in percentage?

Dialogue history:
[Turn 1] what was the change in the investment income from 2011 to 2012?
[Turn 2] and how much does this change represent in relation to that income in 2011, in percentage?

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

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

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

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

Return JSON only in this form:
{"program_tokens": ["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:
in 2014, what percentage did the notional value of derivatives designated as hedging instruments under gaap represent in relation to the fair value?

Dialogue history:
[Turn 1] in 2014, what percentage did the notional value of derivatives designated as hedging instruments under gaap represent in relation to the fair value?

Pre-table text:
note 17 financial derivatives we use derivative financial instruments ( derivatives ) primarily to help manage exposure to interest rate , market and credit risk and reduce the effects that changes in interest rates may have on net income , fair value of assets and liabilities , and cash flows .
we also enter into derivatives with customers to facilitate their risk management activities .
derivatives represent contracts between parties that usually require little or no initial net investment and result in one party delivering cash or another type of asset to the other party based on a notional amount and an underlying as specified in the contract .
derivative transactions are often measured in terms of notional amount , but this amount is generally not exchanged and it is not recorded on the balance sheet .
the notional amount is the basis to which the underlying is applied to determine required payments under the derivative contract .
the underlying is a referenced interest rate ( commonly libor ) , security price , credit spread or other index .
residential and commercial real estate loan commitments associated with loans to be sold also qualify as derivative instruments .
the following table presents the notional amounts and gross fair values of all derivative assets and liabilities held by pnc : table 127 : total gross derivatives .

Table:
in millions	december 31 2013 notional/contractamount	december 31 2013 assetfairvalue ( a )	december 31 2013 liabilityfairvalue ( b )	december 31 2013 notional/contractamount	december 31 2013 assetfairvalue ( a )	liabilityfairvalue ( b )
derivatives designated as hedging instruments under gaap	$ 36197	$ 1189	$ 364	$ 29270	$ 1872	$ 152
derivatives not designated as hedging instruments under gaap	345059	3604	3570	337086	6696	6458
total gross derivatives	$ 381256	$ 4793	$ 3934	$ 366356	$ 8568	$ 6610

Post-table text:
( a ) included in other assets on our consolidated balance sheet .
( b ) included in other liabilities on our consolidated balance sheet .
all derivatives are carried on our consolidated balance sheet at fair value .
derivative balances are presented on the consolidated balance sheet on a net basis taking into consideration the effects of legally enforceable master netting agreements and any related cash collateral exchanged with counterparties .
further discussion regarding the rights of setoff associated with these legally enforceable master netting agreements is included in the offsetting , counterparty credit risk , and contingent features section below .
our exposure related to risk participations where we sold protection is discussed in the credit derivatives section below .
any nonperformance risk , including credit risk , is included in the determination of the estimated net fair value of the derivatives .
further discussion on how derivatives are accounted for is included in note 1 accounting policies .
derivatives designated as hedging instruments under gaap certain derivatives used to manage interest rate risk as part of our asset and liability risk management activities are designated as accounting hedges under gaap .
derivatives hedging the risks associated with changes in the fair value of assets or liabilities are considered fair value hedges , derivatives hedging the variability of expected future cash flows are considered cash flow hedges , and derivatives hedging a net investment in a foreign subsidiary are considered net investment hedges .
designating derivatives as accounting hedges allows for gains and losses on those derivatives , to the extent effective , to be recognized in the income statement in the same period the hedged items affect earnings .
the pnc financial services group , inc .
2013 form 10-k 189 .

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 which one was higher: the notional amount of those designated derivatives or of the non designated ones?

Dialogue history:
[Turn 1] in 2014, what percentage did the notional value of derivatives designated as hedging instruments under gaap represent in relation to the fair value?
[Turn 2] and which one was higher: the notional amount of those designated derivatives or of the non designated ones?

Pre-table text:
note 17 financial derivatives we use derivative financial instruments ( derivatives ) primarily to help manage exposure to interest rate , market and credit risk and reduce the effects that changes in interest rates may have on net income , fair value of assets and liabilities , and cash flows .
we also enter into derivatives with customers to facilitate their risk management activities .
derivatives represent contracts between parties that usually require little or no initial net investment and result in one party delivering cash or another type of asset to the other party based on a notional amount and an underlying as specified in the contract .
derivative transactions are often measured in terms of notional amount , but this amount is generally not exchanged and it is not recorded on the balance sheet .
the notional amount is the basis to which the underlying is applied to determine required payments under the derivative contract .
the underlying is a referenced interest rate ( commonly libor ) , security price , credit spread or other index .
residential and commercial real estate loan commitments associated with loans to be sold also qualify as derivative instruments .
the following table presents the notional amounts and gross fair values of all derivative assets and liabilities held by pnc : table 127 : total gross derivatives .

Table:
in millions	december 31 2013 notional/contractamount	december 31 2013 assetfairvalue ( a )	december 31 2013 liabilityfairvalue ( b )	december 31 2013 notional/contractamount	december 31 2013 assetfairvalue ( a )	liabilityfairvalue ( b )
derivatives designated as hedging instruments under gaap	$ 36197	$ 1189	$ 364	$ 29270	$ 1872	$ 152
derivatives not designated as hedging instruments under gaap	345059	3604	3570	337086	6696	6458
total gross derivatives	$ 381256	$ 4793	$ 3934	$ 366356	$ 8568	$ 6610

Post-table text:
( a ) included in other assets on our consolidated balance sheet .
( b ) included in other liabilities on our consolidated balance sheet .
all derivatives are carried on our consolidated balance sheet at fair value .
derivative balances are presented on the consolidated balance sheet on a net basis taking into consideration the effects of legally enforceable master netting agreements and any related cash collateral exchanged with counterparties .
further discussion regarding the rights of setoff associated with these legally enforceable master netting agreements is included in the offsetting , counterparty credit risk , and contingent features section below .
our exposure related to risk participations where we sold protection is discussed in the credit derivatives section below .
any nonperformance risk , including credit risk , is included in the determination of the estimated net fair value of the derivatives .
further discussion on how derivatives are accounted for is included in note 1 accounting policies .
derivatives designated as hedging instruments under gaap certain derivatives used to manage interest rate risk as part of our asset and liability risk management activities are designated as accounting hedges under gaap .
derivatives hedging the risks associated with changes in the fair value of assets or liabilities are considered fair value hedges , derivatives hedging the variability of expected future cash flows are considered cash flow hedges , and derivatives hedging a net investment in a foreign subsidiary are considered net investment hedges .
designating derivatives as accounting hedges allows for gains and losses on those derivatives , to the extent effective , to be recognized in the income statement in the same period the hedged items affect earnings .
the pnc financial services group , inc .
2013 form 10-k 189 .

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 were cabinet sales in 2017?

Dialogue history:
[Turn 1] what were cabinet sales in 2017?

Pre-table text:
south america .
approximately 26% ( 26 % ) of 2017 net sales were to international markets .
this segment sells directly through its own sales force and indirectly through independent manufacturers 2019 representatives , primarily to wholesalers , home centers , mass merchandisers and industrial distributors .
in aggregate , sales to the home depot and lowe 2019s comprised approximately 23% ( 23 % ) of net sales of the plumbing segment in 2017 .
this segment 2019s chief competitors include delta ( owned by masco ) , kohler , pfister ( owned by spectrum brands ) , american standard ( owned by lixil group ) , insinkerator ( owned by emerson electronic company ) and imported private-label brands .
doors .
our doors segment manufactures and sells fiberglass and steel entry door systems under the therma-tru brand and urethane millwork product lines under the fypon brand .
this segment benefits from the long-term trend away from traditional materials , such as wood , steel and aluminum , toward more energy-efficient and durable synthetic materials .
therma-tru products include fiberglass and steel residential entry door and patio door systems , primarily for sale in the u.s .
and canada .
this segment 2019s principal customers are home centers , millwork building products and wholesale distributors , and specialty dealers that provide products to the residential new construction market , as well as to the remodeling and renovation markets .
in aggregate , sales to the home depot and lowe 2019s comprised approximately 14% ( 14 % ) of net sales of the doors segment in 2017 .
this segment 2019s competitors include masonite , jeld-wen , plastpro and pella .
security .
our security segment 2019s products consist of locks , safety and security devices , and electronic security products manufactured , sourced and distributed primarily under the master lock brand and fire resistant safes , security containers and commercial cabinets manufactured , sourced and distributed under the sentrysafe brand .
this segment sells products principally in the u.s. , canada , europe , central america , japan and australia .
approximately 25% ( 25 % ) of 2017 net sales were to international markets .
this segment manufactures and sells key-controlled and combination padlocks , bicycle and cable locks , built-in locker locks , door hardware , automotive , trailer and towing locks , electronic access control solutions , and other specialty safety and security devices for consumer use to hardware , home center and other retail outlets .
in addition , the segment sells lock systems and fire resistant safes to locksmiths , industrial and institutional users , and original equipment manufacturers .
in aggregate , sales to the home depot and lowe 2019s comprised approximately 18% ( 18 % ) of the net sales of the security segment in 2017 .
master lock competes with abus , w.h .
brady , hampton , kwikset ( owned by spectrum brands ) , schlage ( owned by allegion ) , assa abloy and various imports , and sentrysafe competes with first alert , magnum , fortress , stack-on and fire king .
annual net sales for each of the last three fiscal years for each of our business segments were as follows : ( in millions ) 2017 2016 2015 .

Table:
( in millions )	2017	2016	2015
cabinets	$ 2467.1	$ 2397.8	$ 2173.4
plumbing	1720.8	1534.4	1414.5
doors	502.9	473.0	439.1
security	592.5	579.7	552.4
total	$ 5283.3	$ 4984.9	$ 4579.4

Post-table text:
for additional financial information for each of our business segments , refer to note 18 , 201cinformation on business segments , 201d to the consolidated financial statements in item 8 of this annual report on form other information raw materials .
the table below indicates the principal raw materials used by each of our segments .
these materials are available from a number of sources .
volatility in the prices of commodities and energy used in making and distributing our products impacts the cost of manufacturing our products. .

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 were they in 2016?

Dialogue history:
[Turn 1] what were cabinet sales in 2017?
[Turn 2] what were they in 2016?

Pre-table text:
south america .
approximately 26% ( 26 % ) of 2017 net sales were to international markets .
this segment sells directly through its own sales force and indirectly through independent manufacturers 2019 representatives , primarily to wholesalers , home centers , mass merchandisers and industrial distributors .
in aggregate , sales to the home depot and lowe 2019s comprised approximately 23% ( 23 % ) of net sales of the plumbing segment in 2017 .
this segment 2019s chief competitors include delta ( owned by masco ) , kohler , pfister ( owned by spectrum brands ) , american standard ( owned by lixil group ) , insinkerator ( owned by emerson electronic company ) and imported private-label brands .
doors .
our doors segment manufactures and sells fiberglass and steel entry door systems under the therma-tru brand and urethane millwork product lines under the fypon brand .
this segment benefits from the long-term trend away from traditional materials , such as wood , steel and aluminum , toward more energy-efficient and durable synthetic materials .
therma-tru products include fiberglass and steel residential entry door and patio door systems , primarily for sale in the u.s .
and canada .
this segment 2019s principal customers are home centers , millwork building products and wholesale distributors , and specialty dealers that provide products to the residential new construction market , as well as to the remodeling and renovation markets .
in aggregate , sales to the home depot and lowe 2019s comprised approximately 14% ( 14 % ) of net sales of the doors segment in 2017 .
this segment 2019s competitors include masonite , jeld-wen , plastpro and pella .
security .
our security segment 2019s products consist of locks , safety and security devices , and electronic security products manufactured , sourced and distributed primarily under the master lock brand and fire resistant safes , security containers and commercial cabinets manufactured , sourced and distributed under the sentrysafe brand .
this segment sells products principally in the u.s. , canada , europe , central america , japan and australia .
approximately 25% ( 25 % ) of 2017 net sales were to international markets .
this segment manufactures and sells key-controlled and combination padlocks , bicycle and cable locks , built-in locker locks , door hardware , automotive , trailer and towing locks , electronic access control solutions , and other specialty safety and security devices for consumer use to hardware , home center and other retail outlets .
in addition , the segment sells lock systems and fire resistant safes to locksmiths , industrial and institutional users , and original equipment manufacturers .
in aggregate , sales to the home depot and lowe 2019s comprised approximately 18% ( 18 % ) of the net sales of the security segment in 2017 .
master lock competes with abus , w.h .
brady , hampton , kwikset ( owned by spectrum brands ) , schlage ( owned by allegion ) , assa abloy and various imports , and sentrysafe competes with first alert , magnum , fortress , stack-on and fire king .
annual net sales for each of the last three fiscal years for each of our business segments were as follows : ( in millions ) 2017 2016 2015 .

Table:
( in millions )	2017	2016	2015
cabinets	$ 2467.1	$ 2397.8	$ 2173.4
plumbing	1720.8	1534.4	1414.5
doors	502.9	473.0	439.1
security	592.5	579.7	552.4
total	$ 5283.3	$ 4984.9	$ 4579.4

Post-table text:
for additional financial information for each of our business segments , refer to note 18 , 201cinformation on business segments , 201d to the consolidated financial statements in item 8 of this annual report on form other information raw materials .
the table below indicates the principal raw materials used by each of our segments .
these materials are available from a number of sources .
volatility in the prices of commodities and energy used in making and distributing our products impacts the cost of manufacturing our products. .

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?

Dialogue history:
[Turn 1] what were cabinet sales in 2017?
[Turn 2] what were they in 2016?
[Turn 3] what is the net change?

Pre-table text:
south america .
approximately 26% ( 26 % ) of 2017 net sales were to international markets .
this segment sells directly through its own sales force and indirectly through independent manufacturers 2019 representatives , primarily to wholesalers , home centers , mass merchandisers and industrial distributors .
in aggregate , sales to the home depot and lowe 2019s comprised approximately 23% ( 23 % ) of net sales of the plumbing segment in 2017 .
this segment 2019s chief competitors include delta ( owned by masco ) , kohler , pfister ( owned by spectrum brands ) , american standard ( owned by lixil group ) , insinkerator ( owned by emerson electronic company ) and imported private-label brands .
doors .
our doors segment manufactures and sells fiberglass and steel entry door systems under the therma-tru brand and urethane millwork product lines under the fypon brand .
this segment benefits from the long-term trend away from traditional materials , such as wood , steel and aluminum , toward more energy-efficient and durable synthetic materials .
therma-tru products include fiberglass and steel residential entry door and patio door systems , primarily for sale in the u.s .
and canada .
this segment 2019s principal customers are home centers , millwork building products and wholesale distributors , and specialty dealers that provide products to the residential new construction market , as well as to the remodeling and renovation markets .
in aggregate , sales to the home depot and lowe 2019s comprised approximately 14% ( 14 % ) of net sales of the doors segment in 2017 .
this segment 2019s competitors include masonite , jeld-wen , plastpro and pella .
security .
our security segment 2019s products consist of locks , safety and security devices , and electronic security products manufactured , sourced and distributed primarily under the master lock brand and fire resistant safes , security containers and commercial cabinets manufactured , sourced and distributed under the sentrysafe brand .
this segment sells products principally in the u.s. , canada , europe , central america , japan and australia .
approximately 25% ( 25 % ) of 2017 net sales were to international markets .
this segment manufactures and sells key-controlled and combination padlocks , bicycle and cable locks , built-in locker locks , door hardware , automotive , trailer and towing locks , electronic access control solutions , and other specialty safety and security devices for consumer use to hardware , home center and other retail outlets .
in addition , the segment sells lock systems and fire resistant safes to locksmiths , industrial and institutional users , and original equipment manufacturers .
in aggregate , sales to the home depot and lowe 2019s comprised approximately 18% ( 18 % ) of the net sales of the security segment in 2017 .
master lock competes with abus , w.h .
brady , hampton , kwikset ( owned by spectrum brands ) , schlage ( owned by allegion ) , assa abloy and various imports , and sentrysafe competes with first alert , magnum , fortress , stack-on and fire king .
annual net sales for each of the last three fiscal years for each of our business segments were as follows : ( in millions ) 2017 2016 2015 .

Table:
( in millions )	2017	2016	2015
cabinets	$ 2467.1	$ 2397.8	$ 2173.4
plumbing	1720.8	1534.4	1414.5
doors	502.9	473.0	439.1
security	592.5	579.7	552.4
total	$ 5283.3	$ 4984.9	$ 4579.4

Post-table text:
for additional financial information for each of our business segments , refer to note 18 , 201cinformation on business segments , 201d to the consolidated financial statements in item 8 of this annual report on form other information raw materials .
the table below indicates the principal raw materials used by each of our segments .
these materials are available from a number of sources .
volatility in the prices of commodities and energy used in making and distributing our products impacts the cost of manufacturing our products. .

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 the 2016 value?

Dialogue history:
[Turn 1] what were cabinet sales in 2017?
[Turn 2] what were they in 2016?
[Turn 3] what is the net change?
[Turn 4] what was the 2016 value?

Pre-table text:
south america .
approximately 26% ( 26 % ) of 2017 net sales were to international markets .
this segment sells directly through its own sales force and indirectly through independent manufacturers 2019 representatives , primarily to wholesalers , home centers , mass merchandisers and industrial distributors .
in aggregate , sales to the home depot and lowe 2019s comprised approximately 23% ( 23 % ) of net sales of the plumbing segment in 2017 .
this segment 2019s chief competitors include delta ( owned by masco ) , kohler , pfister ( owned by spectrum brands ) , american standard ( owned by lixil group ) , insinkerator ( owned by emerson electronic company ) and imported private-label brands .
doors .
our doors segment manufactures and sells fiberglass and steel entry door systems under the therma-tru brand and urethane millwork product lines under the fypon brand .
this segment benefits from the long-term trend away from traditional materials , such as wood , steel and aluminum , toward more energy-efficient and durable synthetic materials .
therma-tru products include fiberglass and steel residential entry door and patio door systems , primarily for sale in the u.s .
and canada .
this segment 2019s principal customers are home centers , millwork building products and wholesale distributors , and specialty dealers that provide products to the residential new construction market , as well as to the remodeling and renovation markets .
in aggregate , sales to the home depot and lowe 2019s comprised approximately 14% ( 14 % ) of net sales of the doors segment in 2017 .
this segment 2019s competitors include masonite , jeld-wen , plastpro and pella .
security .
our security segment 2019s products consist of locks , safety and security devices , and electronic security products manufactured , sourced and distributed primarily under the master lock brand and fire resistant safes , security containers and commercial cabinets manufactured , sourced and distributed under the sentrysafe brand .
this segment sells products principally in the u.s. , canada , europe , central america , japan and australia .
approximately 25% ( 25 % ) of 2017 net sales were to international markets .
this segment manufactures and sells key-controlled and combination padlocks , bicycle and cable locks , built-in locker locks , door hardware , automotive , trailer and towing locks , electronic access control solutions , and other specialty safety and security devices for consumer use to hardware , home center and other retail outlets .
in addition , the segment sells lock systems and fire resistant safes to locksmiths , industrial and institutional users , and original equipment manufacturers .
in aggregate , sales to the home depot and lowe 2019s comprised approximately 18% ( 18 % ) of the net sales of the security segment in 2017 .
master lock competes with abus , w.h .
brady , hampton , kwikset ( owned by spectrum brands ) , schlage ( owned by allegion ) , assa abloy and various imports , and sentrysafe competes with first alert , magnum , fortress , stack-on and fire king .
annual net sales for each of the last three fiscal years for each of our business segments were as follows : ( in millions ) 2017 2016 2015 .

Table:
( in millions )	2017	2016	2015
cabinets	$ 2467.1	$ 2397.8	$ 2173.4
plumbing	1720.8	1534.4	1414.5
doors	502.9	473.0	439.1
security	592.5	579.7	552.4
total	$ 5283.3	$ 4984.9	$ 4579.4

Post-table text:
for additional financial information for each of our business segments , refer to note 18 , 201cinformation on business segments , 201d to the consolidated financial statements in item 8 of this annual report on form other information raw materials .
the table below indicates the principal raw materials used by each of our segments .
these materials are available from a number of sources .
volatility in the prices of commodities and energy used in making and distributing our products impacts the cost of manufacturing our products. .

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 2016 value?

Dialogue history:
[Turn 1] what were cabinet sales in 2017?
[Turn 2] what were they in 2016?
[Turn 3] what is the net change?
[Turn 4] what was the 2016 value?
[Turn 5] what is the net change over the 2016 value?

Pre-table text:
south america .
approximately 26% ( 26 % ) of 2017 net sales were to international markets .
this segment sells directly through its own sales force and indirectly through independent manufacturers 2019 representatives , primarily to wholesalers , home centers , mass merchandisers and industrial distributors .
in aggregate , sales to the home depot and lowe 2019s comprised approximately 23% ( 23 % ) of net sales of the plumbing segment in 2017 .
this segment 2019s chief competitors include delta ( owned by masco ) , kohler , pfister ( owned by spectrum brands ) , american standard ( owned by lixil group ) , insinkerator ( owned by emerson electronic company ) and imported private-label brands .
doors .
our doors segment manufactures and sells fiberglass and steel entry door systems under the therma-tru brand and urethane millwork product lines under the fypon brand .
this segment benefits from the long-term trend away from traditional materials , such as wood , steel and aluminum , toward more energy-efficient and durable synthetic materials .
therma-tru products include fiberglass and steel residential entry door and patio door systems , primarily for sale in the u.s .
and canada .
this segment 2019s principal customers are home centers , millwork building products and wholesale distributors , and specialty dealers that provide products to the residential new construction market , as well as to the remodeling and renovation markets .
in aggregate , sales to the home depot and lowe 2019s comprised approximately 14% ( 14 % ) of net sales of the doors segment in 2017 .
this segment 2019s competitors include masonite , jeld-wen , plastpro and pella .
security .
our security segment 2019s products consist of locks , safety and security devices , and electronic security products manufactured , sourced and distributed primarily under the master lock brand and fire resistant safes , security containers and commercial cabinets manufactured , sourced and distributed under the sentrysafe brand .
this segment sells products principally in the u.s. , canada , europe , central america , japan and australia .
approximately 25% ( 25 % ) of 2017 net sales were to international markets .
this segment manufactures and sells key-controlled and combination padlocks , bicycle and cable locks , built-in locker locks , door hardware , automotive , trailer and towing locks , electronic access control solutions , and other specialty safety and security devices for consumer use to hardware , home center and other retail outlets .
in addition , the segment sells lock systems and fire resistant safes to locksmiths , industrial and institutional users , and original equipment manufacturers .
in aggregate , sales to the home depot and lowe 2019s comprised approximately 18% ( 18 % ) of the net sales of the security segment in 2017 .
master lock competes with abus , w.h .
brady , hampton , kwikset ( owned by spectrum brands ) , schlage ( owned by allegion ) , assa abloy and various imports , and sentrysafe competes with first alert , magnum , fortress , stack-on and fire king .
annual net sales for each of the last three fiscal years for each of our business segments were as follows : ( in millions ) 2017 2016 2015 .

Table:
( in millions )	2017	2016	2015
cabinets	$ 2467.1	$ 2397.8	$ 2173.4
plumbing	1720.8	1534.4	1414.5
doors	502.9	473.0	439.1
security	592.5	579.7	552.4
total	$ 5283.3	$ 4984.9	$ 4579.4

Post-table text:
for additional financial information for each of our business segments , refer to note 18 , 201cinformation on business segments , 201d to the consolidated financial statements in item 8 of this annual report on form other information raw materials .
the table below indicates the principal raw materials used by each of our segments .
these materials are available from a number of sources .
volatility in the prices of commodities and energy used in making and distributing our products impacts the cost of manufacturing our products. .

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 sum of net revenues from 2016 and 2017?

Dialogue history:
[Turn 1] what is the sum of net revenues from 2016 and 2017?

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

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

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

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

Return JSON only in this form:
{"program_tokens": ["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 that divided by 2?

Dialogue history:
[Turn 1] what is the sum of net revenues from 2016 and 2017?
[Turn 2] what is that divided by 2?

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

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

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

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

Return JSON only in this form:
{"program_tokens": ["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:
for the five year period ended in 2012, what was the fluctuation of the stockholder return for cadence design systems inc .?

Dialogue history:
[Turn 1] for the five year period ended in 2012, what was the fluctuation of the stockholder return for cadence design systems inc .?

Pre-table text:
stockholder return performance graphs the following graph compares the cumulative 5-year total stockholder return on our common stock relative to the cumulative total return of the nasdaq composite index and the s&p 400 information technology index .
the graph assumes that the value of the investment in our common stock and in each index ( including reinvestment of dividends ) was $ 100 on december 29 , 2007 and tracks it through december 29 , 2012 .
comparison of 5 year cumulative total return* among cadence design systems , inc. , the nasdaq composite index , and s&p 400 information technology cadence design systems , inc .
nasdaq composite s&p 400 information technology 12/29/1212/31/111/1/111/2/101/3/0912/29/07 *$ 100 invested on 12/29/07 in stock or 12/31/07 in index , including reinvestment of dividends .
indexes calculated on month-end basis .
copyright a9 2013 s&p , a division of the mcgraw-hill companies inc .
all rights reserved. .

Table:
	12/29/2007	1/3/2009	1/2/2010	1/1/2011	12/31/2011	12/29/2012
cadence design systems inc .	100.00	22.55	35.17	48.50	61.07	78.92
nasdaq composite	100.00	59.03	82.25	97.32	98.63	110.78
s&p 400 information technology	100.00	54.60	82.76	108.11	95.48	109.88

Post-table text:
the stock price performance included in this graph is not necessarily indicative of future stock price performance .

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 is this fluctuation as a percent of that return in 2007?

Dialogue history:
[Turn 1] for the five year period ended in 2012, what was the fluctuation of the stockholder return for cadence design systems inc .?
[Turn 2] and what is this fluctuation as a percent of that return in 2007?

Pre-table text:
stockholder return performance graphs the following graph compares the cumulative 5-year total stockholder return on our common stock relative to the cumulative total return of the nasdaq composite index and the s&p 400 information technology index .
the graph assumes that the value of the investment in our common stock and in each index ( including reinvestment of dividends ) was $ 100 on december 29 , 2007 and tracks it through december 29 , 2012 .
comparison of 5 year cumulative total return* among cadence design systems , inc. , the nasdaq composite index , and s&p 400 information technology cadence design systems , inc .
nasdaq composite s&p 400 information technology 12/29/1212/31/111/1/111/2/101/3/0912/29/07 *$ 100 invested on 12/29/07 in stock or 12/31/07 in index , including reinvestment of dividends .
indexes calculated on month-end basis .
copyright a9 2013 s&p , a division of the mcgraw-hill companies inc .
all rights reserved. .

Table:
	12/29/2007	1/3/2009	1/2/2010	1/1/2011	12/31/2011	12/29/2012
cadence design systems inc .	100.00	22.55	35.17	48.50	61.07	78.92
nasdaq composite	100.00	59.03	82.25	97.32	98.63	110.78
s&p 400 information technology	100.00	54.60	82.76	108.11	95.48	109.88

Post-table text:
the stock price performance included in this graph is not necessarily indicative of future stock price performance .

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:
in that same period, what was that fluctuation for the nasdaq composite?

Dialogue history:
[Turn 1] for the five year period ended in 2012, what was the fluctuation of the stockholder return for cadence design systems inc .?
[Turn 2] and what is this fluctuation as a percent of that return in 2007?
[Turn 3] in that same period, what was that fluctuation for the nasdaq composite?

Pre-table text:
stockholder return performance graphs the following graph compares the cumulative 5-year total stockholder return on our common stock relative to the cumulative total return of the nasdaq composite index and the s&p 400 information technology index .
the graph assumes that the value of the investment in our common stock and in each index ( including reinvestment of dividends ) was $ 100 on december 29 , 2007 and tracks it through december 29 , 2012 .
comparison of 5 year cumulative total return* among cadence design systems , inc. , the nasdaq composite index , and s&p 400 information technology cadence design systems , inc .
nasdaq composite s&p 400 information technology 12/29/1212/31/111/1/111/2/101/3/0912/29/07 *$ 100 invested on 12/29/07 in stock or 12/31/07 in index , including reinvestment of dividends .
indexes calculated on month-end basis .
copyright a9 2013 s&p , a division of the mcgraw-hill companies inc .
all rights reserved. .

Table:
	12/29/2007	1/3/2009	1/2/2010	1/1/2011	12/31/2011	12/29/2012
cadence design systems inc .	100.00	22.55	35.17	48.50	61.07	78.92
nasdaq composite	100.00	59.03	82.25	97.32	98.63	110.78
s&p 400 information technology	100.00	54.60	82.76	108.11	95.48	109.88

Post-table text:
the stock price performance included in this graph is not necessarily indicative of future stock price performance .

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 this nasdaq composite fluctuation as a percentage of the return of that stock in 2007?

Dialogue history:
[Turn 1] for the five year period ended in 2012, what was the fluctuation of the stockholder return for cadence design systems inc .?
[Turn 2] and what is this fluctuation as a percent of that return in 2007?
[Turn 3] in that same period, what was that fluctuation for the nasdaq composite?
[Turn 4] and what was this nasdaq composite fluctuation as a percentage of the return of that stock in 2007?

Pre-table text:
stockholder return performance graphs the following graph compares the cumulative 5-year total stockholder return on our common stock relative to the cumulative total return of the nasdaq composite index and the s&p 400 information technology index .
the graph assumes that the value of the investment in our common stock and in each index ( including reinvestment of dividends ) was $ 100 on december 29 , 2007 and tracks it through december 29 , 2012 .
comparison of 5 year cumulative total return* among cadence design systems , inc. , the nasdaq composite index , and s&p 400 information technology cadence design systems , inc .
nasdaq composite s&p 400 information technology 12/29/1212/31/111/1/111/2/101/3/0912/29/07 *$ 100 invested on 12/29/07 in stock or 12/31/07 in index , including reinvestment of dividends .
indexes calculated on month-end basis .
copyright a9 2013 s&p , a division of the mcgraw-hill companies inc .
all rights reserved. .

Table:
	12/29/2007	1/3/2009	1/2/2010	1/1/2011	12/31/2011	12/29/2012
cadence design systems inc .	100.00	22.55	35.17	48.50	61.07	78.92
nasdaq composite	100.00	59.03	82.25	97.32	98.63	110.78
s&p 400 information technology	100.00	54.60	82.76	108.11	95.48	109.88

Post-table text:
the stock price performance included in this graph is not necessarily indicative of future stock price performance .

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"]}.