[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 total acquired intangible assets in thousands?

Dialogue history:
[Turn 1] what is the total acquired intangible assets in thousands?

Pre-table text:
software and will give the company a comprehensive design-to-silicon flow that links directly into the semiconductor manufacturing process .
integrating hpl 2019s yield management and test chip technologies into the company 2019s industry-leading dfm portfolio is also expected to enable customers to increase their productivity and improve profitability in the design and manufacture of advanced semiconductor devices .
purchase price .
the company paid $ 11.0 million in cash for all outstanding shares of hpl .
in addition , the company had a prior investment in hpl of approximately $ 1.9 million .
the total purchase consideration consisted of: .

Table:
	( in thousands )
cash paid	$ 11001
prior investment in hpl	1872
acquisition-related costs	2831
total purchase price	$ 15704

Post-table text:
acquisition-related costs of $ 2.8 million consist primarily of legal , tax and accounting fees of $ 1.6 million , $ 0.3 million of estimated facilities closure costs and other directly related charges , and $ 0.9 million in employee termination costs .
as of october 31 , 2006 , the company had paid $ 2.2 million of the acquisition related costs , of which $ 1.1 million were for professional services costs , $ 0.2 million were for facilities closure costs and $ 0.9 million were for employee termination costs .
the $ 0.6 million balance remaining at october 31 , 2006 consists of professional and tax-related service fees and facilities closure costs .
assets acquired .
the company acquired $ 8.5 million of intangible assets consisting of $ 5.1 million in core developed technology , $ 3.2 million in customer relationships and $ 0.2 million in backlog to be amortized over two to four years .
approximately $ 0.8 million of the purchase price represents the fair value of acquired in-process research and development projects that have not yet reached technological feasibility and have no alternative future use .
accordingly , the amount was immediately expensed and included in the company 2019s condensed consolidated statement of operations for the first quarter of fiscal year 2006 .
additionally , the company acquired tangible assets of $ 14.0 million and assumed liabilities of $ 10.9 million .
goodwill , representing the excess of the purchase price over the fair value of the net tangible and identifiable intangible assets acquired in the merger was $ 3.4 million .
goodwill resulted primarily from the company 2019s expectation of synergies from the integration of hpl 2019s technology with the company 2019s technology and operations .
other .
during the fiscal year 2006 , the company completed an asset acquisition for cash consideration of $ 1.5 million .
this acquisition is not considered material to the company 2019s consolidated balance sheet and results of operations .
fiscal 2005 acquisitions nassda corporation ( nassda ) the company acquired nassda on may 11 , 2005 .
reasons for the acquisition .
the company believes nassda 2019s full-chip circuit simulation and analysis software will broaden its offerings of transistor-level circuit simulation tools , particularly in the area of mixed-signal and memory design .
purchase price .
the company acquired all the outstanding shares of nassda for total cash consideration of $ 200.2 million , or $ 7.00 per share .
in addition , as required by the merger agreement , certain nassda officers , directors and employees who were defendants in certain preexisting litigation .

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 total purchase price in thousands?

Dialogue history:
[Turn 1] what is the total acquired intangible assets in thousands?
[Turn 2] what is the total purchase price in thousands?

Pre-table text:
software and will give the company a comprehensive design-to-silicon flow that links directly into the semiconductor manufacturing process .
integrating hpl 2019s yield management and test chip technologies into the company 2019s industry-leading dfm portfolio is also expected to enable customers to increase their productivity and improve profitability in the design and manufacture of advanced semiconductor devices .
purchase price .
the company paid $ 11.0 million in cash for all outstanding shares of hpl .
in addition , the company had a prior investment in hpl of approximately $ 1.9 million .
the total purchase consideration consisted of: .

Table:
	( in thousands )
cash paid	$ 11001
prior investment in hpl	1872
acquisition-related costs	2831
total purchase price	$ 15704

Post-table text:
acquisition-related costs of $ 2.8 million consist primarily of legal , tax and accounting fees of $ 1.6 million , $ 0.3 million of estimated facilities closure costs and other directly related charges , and $ 0.9 million in employee termination costs .
as of october 31 , 2006 , the company had paid $ 2.2 million of the acquisition related costs , of which $ 1.1 million were for professional services costs , $ 0.2 million were for facilities closure costs and $ 0.9 million were for employee termination costs .
the $ 0.6 million balance remaining at october 31 , 2006 consists of professional and tax-related service fees and facilities closure costs .
assets acquired .
the company acquired $ 8.5 million of intangible assets consisting of $ 5.1 million in core developed technology , $ 3.2 million in customer relationships and $ 0.2 million in backlog to be amortized over two to four years .
approximately $ 0.8 million of the purchase price represents the fair value of acquired in-process research and development projects that have not yet reached technological feasibility and have no alternative future use .
accordingly , the amount was immediately expensed and included in the company 2019s condensed consolidated statement of operations for the first quarter of fiscal year 2006 .
additionally , the company acquired tangible assets of $ 14.0 million and assumed liabilities of $ 10.9 million .
goodwill , representing the excess of the purchase price over the fair value of the net tangible and identifiable intangible assets acquired in the merger was $ 3.4 million .
goodwill resulted primarily from the company 2019s expectation of synergies from the integration of hpl 2019s technology with the company 2019s technology and operations .
other .
during the fiscal year 2006 , the company completed an asset acquisition for cash consideration of $ 1.5 million .
this acquisition is not considered material to the company 2019s consolidated balance sheet and results of operations .
fiscal 2005 acquisitions nassda corporation ( nassda ) the company acquired nassda on may 11 , 2005 .
reasons for the acquisition .
the company believes nassda 2019s full-chip circuit simulation and analysis software will broaden its offerings of transistor-level circuit simulation tools , particularly in the area of mixed-signal and memory design .
purchase price .
the company acquired all the outstanding shares of nassda for total cash consideration of $ 200.2 million , or $ 7.00 per share .
in addition , as required by the merger agreement , certain nassda officers , directors and employees who were defendants in certain preexisting litigation .

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 portion of the total purchase price is for intangible assets?

Dialogue history:
[Turn 1] what is the total acquired intangible assets in thousands?
[Turn 2] what is the total purchase price in thousands?
[Turn 3] what portion of the total purchase price is for intangible assets?

Pre-table text:
software and will give the company a comprehensive design-to-silicon flow that links directly into the semiconductor manufacturing process .
integrating hpl 2019s yield management and test chip technologies into the company 2019s industry-leading dfm portfolio is also expected to enable customers to increase their productivity and improve profitability in the design and manufacture of advanced semiconductor devices .
purchase price .
the company paid $ 11.0 million in cash for all outstanding shares of hpl .
in addition , the company had a prior investment in hpl of approximately $ 1.9 million .
the total purchase consideration consisted of: .

Table:
	( in thousands )
cash paid	$ 11001
prior investment in hpl	1872
acquisition-related costs	2831
total purchase price	$ 15704

Post-table text:
acquisition-related costs of $ 2.8 million consist primarily of legal , tax and accounting fees of $ 1.6 million , $ 0.3 million of estimated facilities closure costs and other directly related charges , and $ 0.9 million in employee termination costs .
as of october 31 , 2006 , the company had paid $ 2.2 million of the acquisition related costs , of which $ 1.1 million were for professional services costs , $ 0.2 million were for facilities closure costs and $ 0.9 million were for employee termination costs .
the $ 0.6 million balance remaining at october 31 , 2006 consists of professional and tax-related service fees and facilities closure costs .
assets acquired .
the company acquired $ 8.5 million of intangible assets consisting of $ 5.1 million in core developed technology , $ 3.2 million in customer relationships and $ 0.2 million in backlog to be amortized over two to four years .
approximately $ 0.8 million of the purchase price represents the fair value of acquired in-process research and development projects that have not yet reached technological feasibility and have no alternative future use .
accordingly , the amount was immediately expensed and included in the company 2019s condensed consolidated statement of operations for the first quarter of fiscal year 2006 .
additionally , the company acquired tangible assets of $ 14.0 million and assumed liabilities of $ 10.9 million .
goodwill , representing the excess of the purchase price over the fair value of the net tangible and identifiable intangible assets acquired in the merger was $ 3.4 million .
goodwill resulted primarily from the company 2019s expectation of synergies from the integration of hpl 2019s technology with the company 2019s technology and operations .
other .
during the fiscal year 2006 , the company completed an asset acquisition for cash consideration of $ 1.5 million .
this acquisition is not considered material to the company 2019s consolidated balance sheet and results of operations .
fiscal 2005 acquisitions nassda corporation ( nassda ) the company acquired nassda on may 11 , 2005 .
reasons for the acquisition .
the company believes nassda 2019s full-chip circuit simulation and analysis software will broaden its offerings of transistor-level circuit simulation tools , particularly in the area of mixed-signal and memory design .
purchase price .
the company acquired all the outstanding shares of nassda for total cash consideration of $ 200.2 million , or $ 7.00 per share .
in addition , as required by the merger agreement , certain nassda officers , directors and employees who were defendants in certain preexisting litigation .

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 of non-utility nuclear earnings by the end of 2002?

Dialogue history:
[Turn 1] what was the total of non-utility nuclear earnings by the end of 2002?

Pre-table text:
entergy corporation and subsidiaries management's financial discussion and analysis the decrease in interest income in 2002 was primarily due to : fffd interest recognized in 2001 on grand gulf 1's decommissioning trust funds resulting from the final order addressing system energy's rate proceeding ; fffd interest recognized in 2001 at entergy mississippi and entergy new orleans on the deferred system energy costs that were not being recovered through rates ; and fffd lower interest earned on declining deferred fuel balances .
the decrease in interest charges in 2002 is primarily due to : fffd a decrease of $ 31.9 million in interest on long-term debt primarily due to the retirement of long-term debt in late 2001 and early 2002 ; and fffd a decrease of $ 76.0 million in other interest expense primarily due to interest recorded on system energy's reserve for rate refund in 2001 .
the refund was made in december 2001 .
2001 compared to 2000 results for the year ended december 31 , 2001 for u.s .
utility were also affected by an increase in interest charges of $ 61.5 million primarily due to : fffd the final ferc order addressing the 1995 system energy rate filing ; fffd debt issued at entergy arkansas in july 2001 , at entergy gulf states in june 2000 and august 2001 , at entergy mississippi in january 2001 , and at entergy new orleans in july 2000 and february 2001 ; and fffd borrowings under credit facilities during 2001 , primarily at entergy arkansas .
non-utility nuclear the increase in earnings in 2002 for non-utility nuclear from $ 128 million to $ 201 million was primarily due to the operation of indian point 2 and vermont yankee , which were purchased in september 2001 and july 2002 , respectively .
the increase in earnings in 2001 for non-utility nuclear from $ 49 million to $ 128 million was primarily due to the operation of fitzpatrick and indian point 3 for a full year , as each was purchased in november 2000 , and the operation of indian point 2 , which was purchased in september 2001 .
following are key performance measures for non-utility nuclear: .

Table:
	2002	2001	2000
net mw in operation at december 31	3955	3445	2475
generation in gwh for the year	29953	22614	7171
capacity factor for the year	93% ( 93 % )	93% ( 93 % )	94% ( 94 % )

Post-table text:
2002 compared to 2001 the following fluctuations in the results of operations for non-utility nuclear in 2002 were primarily caused by the acquisitions of indian point 2 and vermont yankee ( except as otherwise noted ) : fffd operating revenues increased $ 411.0 million to $ 1.2 billion ; fffd other operation and maintenance expenses increased $ 201.8 million to $ 596.3 million ; fffd depreciation and amortization expenses increased $ 25.1 million to $ 42.8 million ; fffd fuel expenses increased $ 29.4 million to $ 105.2 million ; fffd nuclear refueling outage expenses increased $ 23.9 million to $ 46.8 million , which was due primarily to a .

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 it by the beginning of that year?

Dialogue history:
[Turn 1] what was the total of non-utility nuclear earnings by the end of 2002?
[Turn 2] and what was it by the beginning of that year?

Pre-table text:
entergy corporation and subsidiaries management's financial discussion and analysis the decrease in interest income in 2002 was primarily due to : fffd interest recognized in 2001 on grand gulf 1's decommissioning trust funds resulting from the final order addressing system energy's rate proceeding ; fffd interest recognized in 2001 at entergy mississippi and entergy new orleans on the deferred system energy costs that were not being recovered through rates ; and fffd lower interest earned on declining deferred fuel balances .
the decrease in interest charges in 2002 is primarily due to : fffd a decrease of $ 31.9 million in interest on long-term debt primarily due to the retirement of long-term debt in late 2001 and early 2002 ; and fffd a decrease of $ 76.0 million in other interest expense primarily due to interest recorded on system energy's reserve for rate refund in 2001 .
the refund was made in december 2001 .
2001 compared to 2000 results for the year ended december 31 , 2001 for u.s .
utility were also affected by an increase in interest charges of $ 61.5 million primarily due to : fffd the final ferc order addressing the 1995 system energy rate filing ; fffd debt issued at entergy arkansas in july 2001 , at entergy gulf states in june 2000 and august 2001 , at entergy mississippi in january 2001 , and at entergy new orleans in july 2000 and february 2001 ; and fffd borrowings under credit facilities during 2001 , primarily at entergy arkansas .
non-utility nuclear the increase in earnings in 2002 for non-utility nuclear from $ 128 million to $ 201 million was primarily due to the operation of indian point 2 and vermont yankee , which were purchased in september 2001 and july 2002 , respectively .
the increase in earnings in 2001 for non-utility nuclear from $ 49 million to $ 128 million was primarily due to the operation of fitzpatrick and indian point 3 for a full year , as each was purchased in november 2000 , and the operation of indian point 2 , which was purchased in september 2001 .
following are key performance measures for non-utility nuclear: .

Table:
	2002	2001	2000
net mw in operation at december 31	3955	3445	2475
generation in gwh for the year	29953	22614	7171
capacity factor for the year	93% ( 93 % )	93% ( 93 % )	94% ( 94 % )

Post-table text:
2002 compared to 2001 the following fluctuations in the results of operations for non-utility nuclear in 2002 were primarily caused by the acquisitions of indian point 2 and vermont yankee ( except as otherwise noted ) : fffd operating revenues increased $ 411.0 million to $ 1.2 billion ; fffd other operation and maintenance expenses increased $ 201.8 million to $ 596.3 million ; fffd depreciation and amortization expenses increased $ 25.1 million to $ 42.8 million ; fffd fuel expenses increased $ 29.4 million to $ 105.2 million ; fffd nuclear refueling outage expenses increased $ 23.9 million to $ 46.8 million , which was due primarily to a .

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:
throughout the year, then, by how much did it increase?

Dialogue history:
[Turn 1] what was the total of non-utility nuclear earnings by the end of 2002?
[Turn 2] and what was it by the beginning of that year?
[Turn 3] throughout the year, then, by how much did it increase?

Pre-table text:
entergy corporation and subsidiaries management's financial discussion and analysis the decrease in interest income in 2002 was primarily due to : fffd interest recognized in 2001 on grand gulf 1's decommissioning trust funds resulting from the final order addressing system energy's rate proceeding ; fffd interest recognized in 2001 at entergy mississippi and entergy new orleans on the deferred system energy costs that were not being recovered through rates ; and fffd lower interest earned on declining deferred fuel balances .
the decrease in interest charges in 2002 is primarily due to : fffd a decrease of $ 31.9 million in interest on long-term debt primarily due to the retirement of long-term debt in late 2001 and early 2002 ; and fffd a decrease of $ 76.0 million in other interest expense primarily due to interest recorded on system energy's reserve for rate refund in 2001 .
the refund was made in december 2001 .
2001 compared to 2000 results for the year ended december 31 , 2001 for u.s .
utility were also affected by an increase in interest charges of $ 61.5 million primarily due to : fffd the final ferc order addressing the 1995 system energy rate filing ; fffd debt issued at entergy arkansas in july 2001 , at entergy gulf states in june 2000 and august 2001 , at entergy mississippi in january 2001 , and at entergy new orleans in july 2000 and february 2001 ; and fffd borrowings under credit facilities during 2001 , primarily at entergy arkansas .
non-utility nuclear the increase in earnings in 2002 for non-utility nuclear from $ 128 million to $ 201 million was primarily due to the operation of indian point 2 and vermont yankee , which were purchased in september 2001 and july 2002 , respectively .
the increase in earnings in 2001 for non-utility nuclear from $ 49 million to $ 128 million was primarily due to the operation of fitzpatrick and indian point 3 for a full year , as each was purchased in november 2000 , and the operation of indian point 2 , which was purchased in september 2001 .
following are key performance measures for non-utility nuclear: .

Table:
	2002	2001	2000
net mw in operation at december 31	3955	3445	2475
generation in gwh for the year	29953	22614	7171
capacity factor for the year	93% ( 93 % )	93% ( 93 % )	94% ( 94 % )

Post-table text:
2002 compared to 2001 the following fluctuations in the results of operations for non-utility nuclear in 2002 were primarily caused by the acquisitions of indian point 2 and vermont yankee ( except as otherwise noted ) : fffd operating revenues increased $ 411.0 million to $ 1.2 billion ; fffd other operation and maintenance expenses increased $ 201.8 million to $ 596.3 million ; fffd depreciation and amortization expenses increased $ 25.1 million to $ 42.8 million ; fffd fuel expenses increased $ 29.4 million to $ 105.2 million ; fffd nuclear refueling outage expenses increased $ 23.9 million to $ 46.8 million , which was due primarily to a .

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 increase as a percent of the beginning of the year total?

Dialogue history:
[Turn 1] what was the total of non-utility nuclear earnings by the end of 2002?
[Turn 2] and what was it by the beginning of that year?
[Turn 3] throughout the year, then, by how much did it increase?
[Turn 4] and what was this increase as a percent of the beginning of the year total?

Pre-table text:
entergy corporation and subsidiaries management's financial discussion and analysis the decrease in interest income in 2002 was primarily due to : fffd interest recognized in 2001 on grand gulf 1's decommissioning trust funds resulting from the final order addressing system energy's rate proceeding ; fffd interest recognized in 2001 at entergy mississippi and entergy new orleans on the deferred system energy costs that were not being recovered through rates ; and fffd lower interest earned on declining deferred fuel balances .
the decrease in interest charges in 2002 is primarily due to : fffd a decrease of $ 31.9 million in interest on long-term debt primarily due to the retirement of long-term debt in late 2001 and early 2002 ; and fffd a decrease of $ 76.0 million in other interest expense primarily due to interest recorded on system energy's reserve for rate refund in 2001 .
the refund was made in december 2001 .
2001 compared to 2000 results for the year ended december 31 , 2001 for u.s .
utility were also affected by an increase in interest charges of $ 61.5 million primarily due to : fffd the final ferc order addressing the 1995 system energy rate filing ; fffd debt issued at entergy arkansas in july 2001 , at entergy gulf states in june 2000 and august 2001 , at entergy mississippi in january 2001 , and at entergy new orleans in july 2000 and february 2001 ; and fffd borrowings under credit facilities during 2001 , primarily at entergy arkansas .
non-utility nuclear the increase in earnings in 2002 for non-utility nuclear from $ 128 million to $ 201 million was primarily due to the operation of indian point 2 and vermont yankee , which were purchased in september 2001 and july 2002 , respectively .
the increase in earnings in 2001 for non-utility nuclear from $ 49 million to $ 128 million was primarily due to the operation of fitzpatrick and indian point 3 for a full year , as each was purchased in november 2000 , and the operation of indian point 2 , which was purchased in september 2001 .
following are key performance measures for non-utility nuclear: .

Table:
	2002	2001	2000
net mw in operation at december 31	3955	3445	2475
generation in gwh for the year	29953	22614	7171
capacity factor for the year	93% ( 93 % )	93% ( 93 % )	94% ( 94 % )

Post-table text:
2002 compared to 2001 the following fluctuations in the results of operations for non-utility nuclear in 2002 were primarily caused by the acquisitions of indian point 2 and vermont yankee ( except as otherwise noted ) : fffd operating revenues increased $ 411.0 million to $ 1.2 billion ; fffd other operation and maintenance expenses increased $ 201.8 million to $ 596.3 million ; fffd depreciation and amortization expenses increased $ 25.1 million to $ 42.8 million ; fffd fuel expenses increased $ 29.4 million to $ 105.2 million ; fffd nuclear refueling outage expenses increased $ 23.9 million to $ 46.8 million , which was due primarily to a .

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 this same year of 2002, how much did the net mw in operation represent in relation to the generation in gwh?

Dialogue history:
[Turn 1] what was the total of non-utility nuclear earnings by the end of 2002?
[Turn 2] and what was it by the beginning of that year?
[Turn 3] throughout the year, then, by how much did it increase?
[Turn 4] and what was this increase as a percent of the beginning of the year total?
[Turn 5] and in this same year of 2002, how much did the net mw in operation represent in relation to the generation in gwh?

Pre-table text:
entergy corporation and subsidiaries management's financial discussion and analysis the decrease in interest income in 2002 was primarily due to : fffd interest recognized in 2001 on grand gulf 1's decommissioning trust funds resulting from the final order addressing system energy's rate proceeding ; fffd interest recognized in 2001 at entergy mississippi and entergy new orleans on the deferred system energy costs that were not being recovered through rates ; and fffd lower interest earned on declining deferred fuel balances .
the decrease in interest charges in 2002 is primarily due to : fffd a decrease of $ 31.9 million in interest on long-term debt primarily due to the retirement of long-term debt in late 2001 and early 2002 ; and fffd a decrease of $ 76.0 million in other interest expense primarily due to interest recorded on system energy's reserve for rate refund in 2001 .
the refund was made in december 2001 .
2001 compared to 2000 results for the year ended december 31 , 2001 for u.s .
utility were also affected by an increase in interest charges of $ 61.5 million primarily due to : fffd the final ferc order addressing the 1995 system energy rate filing ; fffd debt issued at entergy arkansas in july 2001 , at entergy gulf states in june 2000 and august 2001 , at entergy mississippi in january 2001 , and at entergy new orleans in july 2000 and february 2001 ; and fffd borrowings under credit facilities during 2001 , primarily at entergy arkansas .
non-utility nuclear the increase in earnings in 2002 for non-utility nuclear from $ 128 million to $ 201 million was primarily due to the operation of indian point 2 and vermont yankee , which were purchased in september 2001 and july 2002 , respectively .
the increase in earnings in 2001 for non-utility nuclear from $ 49 million to $ 128 million was primarily due to the operation of fitzpatrick and indian point 3 for a full year , as each was purchased in november 2000 , and the operation of indian point 2 , which was purchased in september 2001 .
following are key performance measures for non-utility nuclear: .

Table:
	2002	2001	2000
net mw in operation at december 31	3955	3445	2475
generation in gwh for the year	29953	22614	7171
capacity factor for the year	93% ( 93 % )	93% ( 93 % )	94% ( 94 % )

Post-table text:
2002 compared to 2001 the following fluctuations in the results of operations for non-utility nuclear in 2002 were primarily caused by the acquisitions of indian point 2 and vermont yankee ( except as otherwise noted ) : fffd operating revenues increased $ 411.0 million to $ 1.2 billion ; fffd other operation and maintenance expenses increased $ 201.8 million to $ 596.3 million ; fffd depreciation and amortization expenses increased $ 25.1 million to $ 42.8 million ; fffd fuel expenses increased $ 29.4 million to $ 105.2 million ; fffd nuclear refueling outage expenses increased $ 23.9 million to $ 46.8 million , which was due primarily to a .

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 beginning number of stores in 2012?

Dialogue history:
[Turn 1] what was the beginning number of stores in 2012?

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

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

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

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

Return JSON only in this form:
{"program_tokens": ["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 the number of stores in the end of that year?

Dialogue history:
[Turn 1] what was the beginning number of stores in 2012?
[Turn 2] and what was the number of stores in the end of that year?

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

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

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

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

Return JSON only in this form:
{"program_tokens": ["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, the change in that number throughout the year?

Dialogue history:
[Turn 1] what was the beginning number of stores in 2012?
[Turn 2] and what was the number of stores in the end of that year?
[Turn 3] what was, then, the change in that number throughout the year?

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

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

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

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

Return JSON only in this form:
{"program_tokens": ["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 ending number of stores in 2012?

Dialogue history:
[Turn 1] what was the beginning number of stores in 2012?
[Turn 2] and what was the number of stores in the end of that year?
[Turn 3] what was, then, the change in that number throughout the year?
[Turn 4] what was the ending number of stores in 2012?

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

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

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

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

Return JSON only in this form:
{"program_tokens": ["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 that change represent in relation to this number?

Dialogue history:
[Turn 1] what was the beginning number of stores in 2012?
[Turn 2] and what was the number of stores in the end of that year?
[Turn 3] what was, then, the change in that number throughout the year?
[Turn 4] what was the ending number of stores in 2012?
[Turn 5] and how much does that change represent in relation to this number?

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

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

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

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

Return JSON only in this form:
{"program_tokens": ["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 share price from lowest to highest during the quarter ended september 30 of 2010?

Dialogue history:
[Turn 1] what was the change in the share price from lowest to highest during the quarter ended september 30 of 2010?

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

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

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

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

Return JSON only in this form:
{"program_tokens": ["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 the lowest price of that quarter, in percentage?

Dialogue history:
[Turn 1] what was the change in the share price from lowest to highest during the quarter ended september 30 of 2010?
[Turn 2] and how much does this change represent in relation to the lowest price of that quarter, in percentage?

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

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

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

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

Return JSON only in this form:
{"program_tokens": ["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 value of the investment in snap-onincorporated	in 2008?

Dialogue history:
[Turn 1] what is the value of the investment in snap-onincorporated	in 2008?

Pre-table text:
five-year stock performance graph the graph below illustrates the cumulative total shareholder return on snap-on common stock since december 31 , 2007 , assuming that dividends were reinvested .
the graph compares snap-on 2019s performance to that of the standard & poor 2019s 500 stock index ( 201cs&p 500 201d ) and a peer group .
snap-on incorporated total shareholder return ( 1 ) fiscal year ended ( 2 ) snap-on incorporated peer group ( 3 ) s&p 500 .

Table:
fiscal year ended ( 2 )	snap-onincorporated	peer group ( 3 )	s&p 500
december 31 2007	$ 100.00	$ 100.00	$ 100.00
december 31 2008	83.66	66.15	63.00
december 31 2009	93.20	84.12	79.67
december 31 2010	128.21	112.02	91.67
december 31 2011	117.47	109.70	93.61
december 31 2012	187.26	129.00	108.59

Post-table text:
( 1 ) assumes $ 100 was invested on december 31 , 2007 , and that dividends were reinvested quarterly .
( 2 ) the company's fiscal year ends on the saturday that is on or nearest to december 31 of each year ; for ease of calculation , the fiscal year end is assumed to be december 31 .
( 3 ) the peer group consists of : stanley black & decker , inc. , danaher corporation , emerson electric co. , genuine parts company , newell rubbermaid inc. , pentair ltd. , spx corporation and w.w .
grainger , inc .
cooper industries plc , a former member of the peer group , was removed , as it was acquired by a larger , non-comparable company in 2012 .
2012 annual report 23 snap-on incorporated peer group s&p 500 2007 2008 201120102009 2012 .

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 in value?

Dialogue history:
[Turn 1] what is the value of the investment in snap-onincorporated	in 2008?
[Turn 2] what is the net change in value?

Pre-table text:
five-year stock performance graph the graph below illustrates the cumulative total shareholder return on snap-on common stock since december 31 , 2007 , assuming that dividends were reinvested .
the graph compares snap-on 2019s performance to that of the standard & poor 2019s 500 stock index ( 201cs&p 500 201d ) and a peer group .
snap-on incorporated total shareholder return ( 1 ) fiscal year ended ( 2 ) snap-on incorporated peer group ( 3 ) s&p 500 .

Table:
fiscal year ended ( 2 )	snap-onincorporated	peer group ( 3 )	s&p 500
december 31 2007	$ 100.00	$ 100.00	$ 100.00
december 31 2008	83.66	66.15	63.00
december 31 2009	93.20	84.12	79.67
december 31 2010	128.21	112.02	91.67
december 31 2011	117.47	109.70	93.61
december 31 2012	187.26	129.00	108.59

Post-table text:
( 1 ) assumes $ 100 was invested on december 31 , 2007 , and that dividends were reinvested quarterly .
( 2 ) the company's fiscal year ends on the saturday that is on or nearest to december 31 of each year ; for ease of calculation , the fiscal year end is assumed to be december 31 .
( 3 ) the peer group consists of : stanley black & decker , inc. , danaher corporation , emerson electric co. , genuine parts company , newell rubbermaid inc. , pentair ltd. , spx corporation and w.w .
grainger , inc .
cooper industries plc , a former member of the peer group , was removed , as it was acquired by a larger , non-comparable company in 2012 .
2012 annual report 23 snap-on incorporated peer group s&p 500 2007 2008 201120102009 2012 .

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 change does this represent?

Dialogue history:
[Turn 1] what is the value of the investment in snap-onincorporated	in 2008?
[Turn 2] what is the net change in value?
[Turn 3] what percentage change does this represent?

Pre-table text:
five-year stock performance graph the graph below illustrates the cumulative total shareholder return on snap-on common stock since december 31 , 2007 , assuming that dividends were reinvested .
the graph compares snap-on 2019s performance to that of the standard & poor 2019s 500 stock index ( 201cs&p 500 201d ) and a peer group .
snap-on incorporated total shareholder return ( 1 ) fiscal year ended ( 2 ) snap-on incorporated peer group ( 3 ) s&p 500 .

Table:
fiscal year ended ( 2 )	snap-onincorporated	peer group ( 3 )	s&p 500
december 31 2007	$ 100.00	$ 100.00	$ 100.00
december 31 2008	83.66	66.15	63.00
december 31 2009	93.20	84.12	79.67
december 31 2010	128.21	112.02	91.67
december 31 2011	117.47	109.70	93.61
december 31 2012	187.26	129.00	108.59

Post-table text:
( 1 ) assumes $ 100 was invested on december 31 , 2007 , and that dividends were reinvested quarterly .
( 2 ) the company's fiscal year ends on the saturday that is on or nearest to december 31 of each year ; for ease of calculation , the fiscal year end is assumed to be december 31 .
( 3 ) the peer group consists of : stanley black & decker , inc. , danaher corporation , emerson electric co. , genuine parts company , newell rubbermaid inc. , pentair ltd. , spx corporation and w.w .
grainger , inc .
cooper industries plc , a former member of the peer group , was removed , as it was acquired by a larger , non-comparable company in 2012 .
2012 annual report 23 snap-on incorporated peer group s&p 500 2007 2008 201120102009 2012 .

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

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


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

[User]
Current question:
between the years of 2016 and 2017, what was the change in the number of class a common stocks issued and outstanding?

Dialogue history:
[Turn 1] between the years of 2016 and 2017, what was the change in the number of class a common stocks issued and outstanding?

Pre-table text:
14 .
capital stock shares outstanding .
the following table presents information regarding capital stock: .

Table:
( in thousands )	december 31 , 2017	december 31 , 2016
class a common stock authorized	1000000	1000000
class a common stock issued and outstanding	339235	338240
class b-1 common stock authorized issued and outstanding	0.6	0.6
class b-2 common stock authorized issued and outstanding	0.8	0.8
class b-3 common stock authorized issued and outstanding	1.3	1.3
class b-4 common stock authorized issued and outstanding	0.4	0.4

Post-table text:
cme group has no shares of preferred stock issued and outstanding .
associated trading rights .
members of cme , cbot , nymex and comex own or lease trading rights which entitle them to access open outcry trading , discounts on trading fees and the right to vote on certain exchange matters as provided for by the rules of the particular exchange and cme group 2019s or the subsidiaries 2019 organizational documents .
each class of cme group class b common stock is associated with a membership in a specific division for trading at cme .
a cme trading right is a separate asset that is not part of or evidenced by the associated share of class b common stock of cme group .
the class b common stock of cme group is intended only to ensure that the class b shareholders of cme group retain rights with respect to representation on the board of directors and approval rights with respect to the core rights described below .
trading rights at cbot are evidenced by class b memberships in cbot , at nymex by class a memberships in nymex and at comex by comex division memberships .
members of cbot , nymex and comex do not have any rights to elect members of the board of directors and are not entitled to receive dividends or other distributions on their memberships or trading permits .
core rights .
holders of cme group class b common shares have the right to approve changes in specified rights relating to the trading privileges at cme associated with those shares .
these core rights relate primarily to trading right protections , certain trading fee protections and certain membership benefit protections .
votes on changes to these core rights are weighted by class .
each class of class b common stock has the following number of votes on matters relating to core rights : class b-1 , six votes per share ; class b-2 , two votes per share ; class b-3 , one vote per share ; and class b-4 , 1/6th of one vote per share .
the approval of a majority of the votes cast by the holders of shares of class b common stock is required in order to approve any changes to core rights .
holders of shares of class a common stock do not have the right to vote on changes to core rights .
voting rights .
with the exception of the matters reserved to holders of cme group class b common stock , holders of cme group common stock vote together on all matters for which a vote of common shareholders is required .
in these votes , each holder of shares of class a or class b common stock of cme group has one vote per share .
transfer restrictions .
each class of cme group class b common stock is subject to transfer restrictions contained in the certificate of incorporation of cme group .
these transfer restrictions prohibit the sale or transfer of any shares of class b common stock separate from the sale of the associated trading rights .
election of directors .
the cme group board of directors is currently comprised of 20 members .
holders of class b-1 , class b-2 and class b-3 common stock have the right to elect six directors , of which three are elected by class b-1 shareholders , two are elected by class b-2 shareholders and one is elected by class b-3 shareholders .
the remaining directors are elected by the class a and class b shareholders voting as a single class. .

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

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


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

[User]
Current question:
and in that year of 2017, what percentage did this number represent in relation to the total amount of class a common stock authorized?

Dialogue history:
[Turn 1] between the years of 2016 and 2017, what was the change in the number of class a common stocks issued and outstanding?
[Turn 2] and in that year of 2017, what percentage did this number represent in relation to the total amount of class a common stock authorized?

Pre-table text:
14 .
capital stock shares outstanding .
the following table presents information regarding capital stock: .

Table:
( in thousands )	december 31 , 2017	december 31 , 2016
class a common stock authorized	1000000	1000000
class a common stock issued and outstanding	339235	338240
class b-1 common stock authorized issued and outstanding	0.6	0.6
class b-2 common stock authorized issued and outstanding	0.8	0.8
class b-3 common stock authorized issued and outstanding	1.3	1.3
class b-4 common stock authorized issued and outstanding	0.4	0.4

Post-table text:
cme group has no shares of preferred stock issued and outstanding .
associated trading rights .
members of cme , cbot , nymex and comex own or lease trading rights which entitle them to access open outcry trading , discounts on trading fees and the right to vote on certain exchange matters as provided for by the rules of the particular exchange and cme group 2019s or the subsidiaries 2019 organizational documents .
each class of cme group class b common stock is associated with a membership in a specific division for trading at cme .
a cme trading right is a separate asset that is not part of or evidenced by the associated share of class b common stock of cme group .
the class b common stock of cme group is intended only to ensure that the class b shareholders of cme group retain rights with respect to representation on the board of directors and approval rights with respect to the core rights described below .
trading rights at cbot are evidenced by class b memberships in cbot , at nymex by class a memberships in nymex and at comex by comex division memberships .
members of cbot , nymex and comex do not have any rights to elect members of the board of directors and are not entitled to receive dividends or other distributions on their memberships or trading permits .
core rights .
holders of cme group class b common shares have the right to approve changes in specified rights relating to the trading privileges at cme associated with those shares .
these core rights relate primarily to trading right protections , certain trading fee protections and certain membership benefit protections .
votes on changes to these core rights are weighted by class .
each class of class b common stock has the following number of votes on matters relating to core rights : class b-1 , six votes per share ; class b-2 , two votes per share ; class b-3 , one vote per share ; and class b-4 , 1/6th of one vote per share .
the approval of a majority of the votes cast by the holders of shares of class b common stock is required in order to approve any changes to core rights .
holders of shares of class a common stock do not have the right to vote on changes to core rights .
voting rights .
with the exception of the matters reserved to holders of cme group class b common stock , holders of cme group common stock vote together on all matters for which a vote of common shareholders is required .
in these votes , each holder of shares of class a or class b common stock of cme group has one vote per share .
transfer restrictions .
each class of cme group class b common stock is subject to transfer restrictions contained in the certificate of incorporation of cme group .
these transfer restrictions prohibit the sale or transfer of any shares of class b common stock separate from the sale of the associated trading rights .
election of directors .
the cme group board of directors is currently comprised of 20 members .
holders of class b-1 , class b-2 and class b-3 common stock have the right to elect six directors , of which three are elected by class b-1 shareholders , two are elected by class b-2 shareholders and one is elected by class b-3 shareholders .
the remaining directors are elected by the class a and class b shareholders voting as a single class. .

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 value of euro notes with march 2021 maturities?

Dialogue history:
[Turn 1] what is the value of euro notes with march 2021 maturities?

Pre-table text:
our debt issuances in 2014 were as follows : ( in millions ) type face value ( e ) interest rate issuance maturity euro notes ( a ) 20ac750 ( approximately $ 1029 ) 1.875% ( 1.875 % ) march 2014 march 2021 euro notes ( a ) 20ac1000 ( approximately $ 1372 ) 2.875% ( 2.875 % ) march 2014 march 2026 euro notes ( b ) 20ac500 ( approximately $ 697 ) 2.875% ( 2.875 % ) may 2014 may 2029 swiss franc notes ( c ) chf275 ( approximately $ 311 ) 0.750% ( 0.750 % ) may 2014 december 2019 swiss franc notes ( b ) chf250 ( approximately $ 283 ) 1.625% ( 1.625 % ) may 2014 may 2024 u.s .
dollar notes ( d ) $ 500 1.250% ( 1.250 % ) november 2014 november 2017 u.s .
dollar notes ( d ) $ 750 3.250% ( 3.250 % ) november 2014 november 2024 u.s .
dollar notes ( d ) $ 750 4.250% ( 4.250 % ) november 2014 november 2044 ( a ) interest on these notes is payable annually in arrears beginning in march 2015 .
( b ) interest on these notes is payable annually in arrears beginning in may 2015 .
( c ) interest on these notes is payable annually in arrears beginning in december 2014 .
( d ) interest on these notes is payable semiannually in arrears beginning in may 2015 .
( e ) u.s .
dollar equivalents for foreign currency notes were calculated based on exchange rates on the date of issuance .
the net proceeds from the sale of the securities listed in the table above will be used for general corporate purposes .
the weighted-average time to maturity of our long-term debt was 10.8 years at the end of 2013 and 2014 .
2022 off-balance sheet arrangements and aggregate contractual obligations we have no off-balance sheet arrangements , including special purpose entities , other than guarantees and contractual obligations discussed below .
guarantees 2013 at december 31 , 2014 , we were contingently liable for $ 1.0 billion of guarantees of our own performance , which were primarily related to excise taxes on the shipment of our products .
there is no liability in the consolidated financial statements associated with these guarantees .
at december 31 , 2014 , our third-party guarantees were insignificant. .

Table:
type		face value ( e )	interest rate	issuance	maturity
euro notes	( a )	20ac750 ( approximately $ 1029 )	1.875% ( 1.875 % )	march 2014	march 2021
euro notes	( a )	20ac1000 ( approximately $ 1372 )	2.875% ( 2.875 % )	march 2014	march 2026
euro notes	( b )	20ac500 ( approximately $ 697 )	2.875% ( 2.875 % )	may 2014	may 2029
swiss franc notes	( c )	chf275 ( approximately $ 311 )	0.750% ( 0.750 % )	may 2014	december 2019
swiss franc notes	( b )	chf250 ( approximately $ 283 )	1.625% ( 1.625 % )	may 2014	may 2024
u.s . dollar notes	( d )	$ 500	1.250% ( 1.250 % )	november 2014	november 2017
u.s . dollar notes	( d )	$ 750	3.250% ( 3.250 % )	november 2014	november 2024
u.s . dollar notes	( d )	$ 750	4.250% ( 4.250 % )	november 2014	november 2044

Post-table text:
our debt issuances in 2014 were as follows : ( in millions ) type face value ( e ) interest rate issuance maturity euro notes ( a ) 20ac750 ( approximately $ 1029 ) 1.875% ( 1.875 % ) march 2014 march 2021 euro notes ( a ) 20ac1000 ( approximately $ 1372 ) 2.875% ( 2.875 % ) march 2014 march 2026 euro notes ( b ) 20ac500 ( approximately $ 697 ) 2.875% ( 2.875 % ) may 2014 may 2029 swiss franc notes ( c ) chf275 ( approximately $ 311 ) 0.750% ( 0.750 % ) may 2014 december 2019 swiss franc notes ( b ) chf250 ( approximately $ 283 ) 1.625% ( 1.625 % ) may 2014 may 2024 u.s .
dollar notes ( d ) $ 500 1.250% ( 1.250 % ) november 2014 november 2017 u.s .
dollar notes ( d ) $ 750 3.250% ( 3.250 % ) november 2014 november 2024 u.s .
dollar notes ( d ) $ 750 4.250% ( 4.250 % ) november 2014 november 2044 ( a ) interest on these notes is payable annually in arrears beginning in march 2015 .
( b ) interest on these notes is payable annually in arrears beginning in may 2015 .
( c ) interest on these notes is payable annually in arrears beginning in december 2014 .
( d ) interest on these notes is payable semiannually in arrears beginning in may 2015 .
( e ) u.s .
dollar equivalents for foreign currency notes were calculated based on exchange rates on the date of issuance .
the net proceeds from the sale of the securities listed in the table above will be used for general corporate purposes .
the weighted-average time to maturity of our long-term debt was 10.8 years at the end of 2013 and 2014 .
2022 off-balance sheet arrangements and aggregate contractual obligations we have no off-balance sheet arrangements , including special purpose entities , other than guarantees and contractual obligations discussed below .
guarantees 2013 at december 31 , 2014 , we were contingently liable for $ 1.0 billion of guarantees of our own performance , which were primarily related to excise taxes on the shipment of our products .
there is no liability in the consolidated financial statements associated with these guarantees .
at december 31 , 2014 , our third-party guarantees were insignificant. .

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 value with march 2026 maturities?

Dialogue history:
[Turn 1] what is the value of euro notes with march 2021 maturities?
[Turn 2] what is the value with march 2026 maturities?

Pre-table text:
our debt issuances in 2014 were as follows : ( in millions ) type face value ( e ) interest rate issuance maturity euro notes ( a ) 20ac750 ( approximately $ 1029 ) 1.875% ( 1.875 % ) march 2014 march 2021 euro notes ( a ) 20ac1000 ( approximately $ 1372 ) 2.875% ( 2.875 % ) march 2014 march 2026 euro notes ( b ) 20ac500 ( approximately $ 697 ) 2.875% ( 2.875 % ) may 2014 may 2029 swiss franc notes ( c ) chf275 ( approximately $ 311 ) 0.750% ( 0.750 % ) may 2014 december 2019 swiss franc notes ( b ) chf250 ( approximately $ 283 ) 1.625% ( 1.625 % ) may 2014 may 2024 u.s .
dollar notes ( d ) $ 500 1.250% ( 1.250 % ) november 2014 november 2017 u.s .
dollar notes ( d ) $ 750 3.250% ( 3.250 % ) november 2014 november 2024 u.s .
dollar notes ( d ) $ 750 4.250% ( 4.250 % ) november 2014 november 2044 ( a ) interest on these notes is payable annually in arrears beginning in march 2015 .
( b ) interest on these notes is payable annually in arrears beginning in may 2015 .
( c ) interest on these notes is payable annually in arrears beginning in december 2014 .
( d ) interest on these notes is payable semiannually in arrears beginning in may 2015 .
( e ) u.s .
dollar equivalents for foreign currency notes were calculated based on exchange rates on the date of issuance .
the net proceeds from the sale of the securities listed in the table above will be used for general corporate purposes .
the weighted-average time to maturity of our long-term debt was 10.8 years at the end of 2013 and 2014 .
2022 off-balance sheet arrangements and aggregate contractual obligations we have no off-balance sheet arrangements , including special purpose entities , other than guarantees and contractual obligations discussed below .
guarantees 2013 at december 31 , 2014 , we were contingently liable for $ 1.0 billion of guarantees of our own performance , which were primarily related to excise taxes on the shipment of our products .
there is no liability in the consolidated financial statements associated with these guarantees .
at december 31 , 2014 , our third-party guarantees were insignificant. .

Table:
type		face value ( e )	interest rate	issuance	maturity
euro notes	( a )	20ac750 ( approximately $ 1029 )	1.875% ( 1.875 % )	march 2014	march 2021
euro notes	( a )	20ac1000 ( approximately $ 1372 )	2.875% ( 2.875 % )	march 2014	march 2026
euro notes	( b )	20ac500 ( approximately $ 697 )	2.875% ( 2.875 % )	may 2014	may 2029
swiss franc notes	( c )	chf275 ( approximately $ 311 )	0.750% ( 0.750 % )	may 2014	december 2019
swiss franc notes	( b )	chf250 ( approximately $ 283 )	1.625% ( 1.625 % )	may 2014	may 2024
u.s . dollar notes	( d )	$ 500	1.250% ( 1.250 % )	november 2014	november 2017
u.s . dollar notes	( d )	$ 750	3.250% ( 3.250 % )	november 2014	november 2024
u.s . dollar notes	( d )	$ 750	4.250% ( 4.250 % )	november 2014	november 2044

Post-table text:
our debt issuances in 2014 were as follows : ( in millions ) type face value ( e ) interest rate issuance maturity euro notes ( a ) 20ac750 ( approximately $ 1029 ) 1.875% ( 1.875 % ) march 2014 march 2021 euro notes ( a ) 20ac1000 ( approximately $ 1372 ) 2.875% ( 2.875 % ) march 2014 march 2026 euro notes ( b ) 20ac500 ( approximately $ 697 ) 2.875% ( 2.875 % ) may 2014 may 2029 swiss franc notes ( c ) chf275 ( approximately $ 311 ) 0.750% ( 0.750 % ) may 2014 december 2019 swiss franc notes ( b ) chf250 ( approximately $ 283 ) 1.625% ( 1.625 % ) may 2014 may 2024 u.s .
dollar notes ( d ) $ 500 1.250% ( 1.250 % ) november 2014 november 2017 u.s .
dollar notes ( d ) $ 750 3.250% ( 3.250 % ) november 2014 november 2024 u.s .
dollar notes ( d ) $ 750 4.250% ( 4.250 % ) november 2014 november 2044 ( a ) interest on these notes is payable annually in arrears beginning in march 2015 .
( b ) interest on these notes is payable annually in arrears beginning in may 2015 .
( c ) interest on these notes is payable annually in arrears beginning in december 2014 .
( d ) interest on these notes is payable semiannually in arrears beginning in may 2015 .
( e ) u.s .
dollar equivalents for foreign currency notes were calculated based on exchange rates on the date of issuance .
the net proceeds from the sale of the securities listed in the table above will be used for general corporate purposes .
the weighted-average time to maturity of our long-term debt was 10.8 years at the end of 2013 and 2014 .
2022 off-balance sheet arrangements and aggregate contractual obligations we have no off-balance sheet arrangements , including special purpose entities , other than guarantees and contractual obligations discussed below .
guarantees 2013 at december 31 , 2014 , we were contingently liable for $ 1.0 billion of guarantees of our own performance , which were primarily related to excise taxes on the shipment of our products .
there is no liability in the consolidated financial statements associated with these guarantees .
at december 31 , 2014 , our third-party guarantees were insignificant. .

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"]}.