yk12311/Berkeley-Function-Calling-Leaderboard huggingface dataset:
user: I'm planning a small outdoor event in Ottawa, and I need to make sure the weather is going to cooperate. Could you fetch the current weather for me at latitude 45.4215 and longitude -75.6972 using the Open-Meteo API? Also, I'm running a small game at the event, and I'm curious about the chances of winning. If I have 10 attempts at this game and the chance of winning each time is 50%, how likely is it that I'll win 5 times?

Available functions:
name: get_weather_data
description: Fetches weather data from the Open-Meteo API for the given latitude and longitude.
parameters: type: dict
properties: coordinates: type: array
items: type: float
description: The latitude and longitude of the location.
required: coordinates
name: calc_binomial_probability
description: Calculates the probability of getting k successes in n trials.
parameters: type: dict
properties: n: type: integer
description: The number of trials.
k: type: float
description: The number of successes.
p: type: float
description: The probability of success.
required: n
k
p

Answer: get_weather_data(coordinates=[45.4215, -75.6972])
calc_binomial_probability(n=10, k=5, p=0.5)
user: I'm currently working on a machine learning project that involves measuring the similarity between different data points. I've just computed two vectors and would like to understand how similar they are. Could you calculate the cosine similarity between the vectors [1, 2, 3] and [4, 5, 6] for me? Additionally, as part of my financial analysis, I'm tracking the performance of certain tech companies, and I need to know the latest trading price for Apple's stock. What's the current price of the 'AAPL' stock?

Available functions:
name: calculate_cosine_similarity
description: Calculates the cosine similarity of two vectors.
parameters: type: dict
properties: vectorA: type: array
items: type: float
description: The first vector.
vectorB: type: array
items: type: float
description: The second vector.
required: vectorA
vectorB
name: get_stock_price_by_stock_name
description: Finds the price of a stock by its stock name.
parameters: type: dict
properties: stock_name: type: string
description: The stock name of the product, in the format of the stock symbol.
required: stock_name

Answer: calculate_cosine_similarity(vectorA=[1, 2, 3], vectorB=[4, 5, 6])
get_stock_price_by_stock_name(stock_name='AAPL')
user: I'm working on a project that requires me to juggle with numbers from different domains. First, I need to calculate the density of a new material we've been experimenting with. The material has a mass of 50 kilograms and occupies a volume of 10 cubic meters. Could you calculate its density for me? Additionally, I'm contemplating a financial move and would like to know the future value of an investment if I were to invest $5000 at an annual interest rate of 5% for 10 years. What would the investment grow to after that time? Switching gears to the stock market, I'm curious about the current trading price of Apple's stock. What's the latest price per share? Lastly, I've been eyeing this gadget on Amazon, but I'm quite particular about the quality. The ASIN is B08PPDJWC8. Could you check its customer rating for me?

Available functions:
name: calculate_density
description: Calculates the density of an object.
parameters: type: dict
properties: mass: type: float
description: The mass of the object, in kilograms.
volume: type: float
description: The volume of the object, in cubic meters.
required: mass
volume
name: calculate_future_value
description: Calculates the future value of an investment.
parameters: type: dict
properties: present_value: type: float
description: The present value of the investment, in dollars.
interest_rate: type: float
description: The interest rate of the investment, ranging from 0 to 1.
periods: type: integer
description: The number of periods, in years.
required: present_value
interest_rate
periods
name: get_stock_price_by_stock_name
description: Finds the price of a stock by its stock name.
parameters: type: dict
properties: stock_name: type: string
description: The stock name of the product, in the format of the stock symbol.
required: stock_name
name: get_rating_by_amazon_ASIN
description: Finds the rating of a product by its Amazon ASIN.
parameters: type: dict
properties: ASIN: type: string
description: The Amazon ASIN of the product.
required: ASIN

Answer: calculate_density(mass=50, volume=10)
calculate_future_value(present_value=5000, interest_rate=0.05, periods=10)
get_stock_price_by_stock_name(stock_name='AAPL')
get_rating_by_amazon_ASIN(ASIN='B08PPDJWC8')
user: Last year, when I was staying in Spain, I never quite kept track of all the public holidays, which I regret since it would have been handy for planning trips. Could you provide me with a list of the official Spanish holidays for the year 2020? Also, I was reminiscing about a physics experiment from the same year, where we propelled an object with an initial velocity of 10 meters per second and it had a consistent acceleration of 2 meters per second squared. The object was in motion for a total of 5 seconds. I need to calculate how far the object traveled during that time. Can you help me with that as well?

Available functions:
name: retrieve_holiday_by_year
description: Finds the holidays of a year.
parameters: type: dict
properties: year: type: string
description: The year of the holidays.
country: type: string
description: The country of the holidays. Possible options: US, AT, DE, ES, FR, GB, IT, NL, PL, RO, SK, UA.
required: year
country
name: calculate_displacement
description: Calculates the displacement of an object.
parameters: type: dict
properties: initial_velocity: type: float
description: The initial velocity of the object, in meters per second.
acceleration: type: float
description: The acceleration of the object, in meters per second squared.
time: type: float
description: The time the object has been moving, in seconds.
required: initial_velocity
acceleration
time

Answer: retrieve_holiday_by_year(year='2020', country='ES')
calculate_displacement(initial_velocity=10, acceleration=2, time=5)
user: I need to calculate the electrostatic potential energy for an object that has a charge of 5 Coulombs and is under a voltage of 10 volts. Also, can you find out the postal code for where the IP address 192.168.1.1 is located?

Available functions:
name: get_zipcode_by_ip_address
description: Finds the zipcode of an IP address.
parameters: type: dict
properties: ip_address: type: string
description: The IP address to find the location of.
required: ip_address
name: calculate_electrostatic_potential_energy
description: Calculates the electrostatic potential energy.
parameters: type: dict
properties: charge: type: float
description: The charge of the object, in coulombs.
voltage: type: float
description: The voltage of the object, in volts.
required: charge
voltage

Answer: get_zipcode_by_ip_address(ip_address='192.168.1.1')
calculate_electrostatic_potential_energy(charge=5.0, voltage=10.0)
user: I'm working on this interesting project where I need to analyze and compare the movements of two different objects. To get started, I need to calculate their final velocities. The first object has an initial velocity of 10 m/s, it's been accelerating at 2 m/s², and it has been moving for 5 seconds. The second object started at 15 m/s, with an acceleration of 1.5 m/s², over a period of 7 seconds. Once I have their final velocities, I want to compare the movements by finding the cosine similarity between the vectors representing velocity, accerlation, and time.

On a different note, I also need to sort out my personal finances. I have a $200,000 mortgage at a 5% interest rate, to be paid off over 30 years, and I need to work out what my monthly payments will be. Could you help me with these calculations?

Available functions:
name: calculate_cosine_similarity
description: Calculates the cosine similarity of two vectors.
parameters: type: dict
properties: vectorA: type: array
items: type: float
description: The first vector.
vectorB: type: array
items: type: float
description: The second vector.
required: vectorA
vectorB
name: mortgage_calculator
description: Calculates the monthly mortgage payment.
parameters: type: dict
properties: loan_amount: type: float
description: The amount of the loan.
interest_rate: type: float
description: The interest rate of the loan, ranging from 0 to 1.
loan_period: type: integer
description: The period of the loan, in years.
required: loan_amount
interest_rate
loan_period
name: calculate_final_velocity
description: Calculates the final velocity of an object.
parameters: type: dict
properties: initial_velocity: type: float
description: The initial velocity of the object.
acceleration: type: float
description: The acceleration of the object.
time: type: float
description: The time the object has been moving.
required: initial_velocity
acceleration
time

Answer: calculate_final_velocity(initial_velocity=10, acceleration=2, time=5)
calculate_final_velocity(initial_velocity=15, acceleration=1.5, time=7)
calculate_cosine_similarity(vectorA=[10, 2, 5], vectorB=[15, 1.5, 7])
mortgage_calculator(loan_amount=200000, interest_rate=0.05, loan_period=30)
user: I've got this investment sitting at $5000 with an annual interest rate of 5%. I'm planning to let it grow over the next 10 years without making any additional contributions. I need to calculate what this will amount to at the end of the 10-year period. Once I have that future value, I'm curious about how it would perform in a hypothetical scenario where the returns follow the Fibonacci sequence, so I'd like to know what the 15th number in that sequence is. And lastly, I have this list of numbers: 45, 23, 67, 89, 12, 34, 56, 78. I need them sorted, but in descending order. Can we get started on these calculations?

Available functions:
name: calculate_future_value
description: Calculates the future value of an investment.
parameters: type: dict
properties: present_value: type: float
description: The present value of the investment, in dollars.
interest_rate: type: float
description: The interest rate of the investment, ranging from 0 to 1.
periods: type: integer
description: The number of periods, in years.
required: present_value
interest_rate
periods
name: get_fibonacci_sequence
description: Calculates the n numbers of the Fibonacci.
parameters: type: dict
properties: n: type: integer
description: The number of Fibonacci numbers to calculate.
required: n
name: get_fibonacci_number
description: Calculates the nth Fibonacci number in the sequence where the sequence starts with 0 followed by 1, and each subsequent number is the sum of the previous two.
parameters: type: dict
required: n
properties: n: type: integer
description: The position of the Fibonacci number to calculate. This position must be a positive integer.
name: sort_array
description: Sorts an array of numbers.
parameters: type: dict
properties: array: type: array
items: type: float
description: The array of numbers.
reverse: type: boolean
description: Whether to sort the array in reverse order, i.e., descending order.
default: no
required: array

Answer: calculate_future_value(present_value=5000, interest_rate=0.05, periods=10)
get_fibonacci_number(n=15)
sort_array(array=[45, 23, 67, 89, 12, 34, 56, 78], reverse=True)
user: Could you calculate the average of these numbers: 5, 10, 15, 20, and 25? Also, I need to know the timezone for the location at longitude 120.97388 and latitude 14.6042.

Available functions:
name: get_time_zone_by_coord
description: Finds the timezone of a coordinate.
parameters: type: dict
properties: long: type: string
description: The longitude of the coordinate.
lat: type: string
description: The latitude of the coordinate.
required: long
lat
name: calculate_mean
description: Calculates the mean of a list of numbers.
parameters: type: dict
properties: numbers: type: array
items: type: float
description: The list of numbers.
required: numbers

Answer: calculate_mean(numbers=[5, 10, 15, 20, 25])
get_time_zone_by_coord(long='120.97388', lat='14.6042')
user: I've got $5000 invested at an annual interest rate of 5%, and I'm planning to leave it untouched for 10 years. I'd like to know what its future value will be. On a different note, I've been eyeing the stock ticker 'AAPL' and I'm curious about the actual company name behind it. Also, just out of curiosity, I'm wondering about the permutations for choosing 3 items from a set of 7. Could we work these out?

Available functions:
name: calculate_future_value
description: Calculates the future value of an investment.
parameters: type: dict
properties: present_value: type: float
description: The present value of the investment, in dollars.
interest_rate: type: float
description: The interest rate of the investment, ranging from 0 to 1.
periods: type: integer
description: The number of periods, in years.
required: present_value
interest_rate
periods
name: calculate_permutations
description: Calculates the number of permutations of k elements from a set of n elements.
parameters: type: dict
properties: n: type: integer
description: The number of elements in the set.
k: type: integer
description: The number of elements to choose.
required: n
k
name: get_company_name_by_stock_name
description: Finds the company name of a stock by its stock name.
parameters: type: dict
properties: stock_name: type: string
description: The stock name of the product, in the format of the stock symbol.
required: stock_name

Answer: calculate_future_value(present_value=5000, interest_rate=0.05, periods=10)
get_company_name_by_stock_name(stock_name='AAPL')
calculate_permutations(n=7, k=3)
user: What is the first 10 numbers in the Fibonacci sequence? I'm working on some statistical analysis for a math project and I need those figures. Also Calculate the standard deviation for [0, 1, 1, 2, 3, 5, 8, 13, 21, 34]

Available functions:
name: calculate_standard_deviation
description: Calculates the standard deviation of a list of numbers.
parameters: type: dict
properties: numbers: type: array
items: type: float
description: The list of numbers.
required: numbers
name: get_fibonacci_sequence
description: Calculates the n numbers of the Fibonacci.
parameters: type: dict
properties: n: type: integer
description: The number of Fibonacci numbers to calculate.
required: n

Answer: get_fibonacci_sequence(n=10)
calculate_standard_deviation(numbers=[0, 1, 1, 2, 3, 5, 8, 13, 21, 34])
user: I've been tracking the stock market and I'm interested in Apple's performance, but I only remember the ticker symbol 'AAPL', not the full company name. Could you look that up for me? Additionally, I need to schedule some events and I want them to sync up. The first event is every 12 days and the second one every 18 days. I need to know the least common multiple to find out when they will coincide. Lastly, I'm planning a triangular garden bed; it's going to have a 10-unit base and rise up 15 units in height. I need to calculate how much area that will cover.

Available functions:
name: get_company_name_by_stock_name
description: Finds the company name of a stock by its stock name.
parameters: type: dict
properties: stock_name: type: string
description: The stock name of the product, in the format of the stock symbol.
required: stock_name
name: math_lcm
description: Calculates the least common multiple of two numbers.
parameters: type: dict
properties: a: type: integer
description: The first number. This should be the larger number.
b: type: integer
description: The second number.
required: a
b
name: calculate_triangle_area
description: Calculates the area of a triangle given its base and height.
parameters: type: dict
properties: base: type: integer
description: The base of the triangle, in meters.
height: type: integer
description: The height of the triangle, in meters.
required: base
height

Answer: get_company_name_by_stock_name(stock_name='AAPL')
math_lcm(a=12, b=18)
calculate_triangle_area(base=10, height=15)
user: I've been monitoring my investment portfolio and I noticed that I have 500 shares of Apple stock. I'm curious to know the total value in Euros. Currently, the stock is valued at $500 per share. I'll need the latest monthly stock history with no adjustments for dividends or splits. After getting the stock value, can you convert the total amount from USD to Euros for me?

Available functions:
name: convert_currency
description: Converts a given amount from one currency to another using the ExchangeRate-API.
parameters: type: dict
properties: amount: type: float
description: The amount of money to convert, in the base currency.
from_currency: type: string
description: The ISO currency code for the base currency.
to_currency: type: string
description: The ISO currency code for the target currency.
required: amount
from_currency
to_currency
name: get_zipcode_by_ip_address
description: Finds the zipcode of an IP address.
parameters: type: dict
properties: ip_address: type: string
description: The IP address to find the location of.
required: ip_address
name: get_stock_history
description: Finds the price of a stock by its stock name.
parameters: type: dict
properties: stock_name: type: string
description: The stock name of the product, in the format of the stock symbol.
interval: type: string
description: The interval of the stock history. Allows one of following : 5m|15m|30m|1h|1d|1wk|1mo|3mo
diffandsplits: type: string
description: The diff and splits of the stock history. Allows one of following : true|false. Default to false
required: stock_name
interval

Answer: get_stock_history(stock_name='AAPL', interval='1mo', diffandsplits='false')
convert_currency(amount=500*500, from_currency='USD', to_currency='EUR')
user: I'm working on some mathematical problems and need to do a couple of calculations. First, I need to figure out the greatest common divisor (GCD) for the numbers 36 and 48. After that, I need to estimate the derivative of the function f(x) = x^2 at the point where x equals 5. Can you help me with these two tasks?

Available functions:
name: math_gcd
description: Calculates the greatest common divisor of two numbers.
parameters: type: dict
properties: a: type: integer
description: The first number. This should be the larger number.
b: type: integer
description: The second number.
required: a
b
name: estimate_derivative
description: Estimate the derivative of a function at a given point.
parameters: type: dict
properties: function: type: string
description: The function to calculate the derivative of.
x: type: integer
description: The point to calculate the derivative at.
required: function
x

Answer: math_gcd(a=36, b=48)
estimate_derivative(function='lambda x:x**2', x=5)
user: I came across the term "Bitcoin" and I'm really curious about what it means in slang. Can you look up its definition on Urban Dictionary for me? Also, I'm planning a trip and need to handle some finances. I have 1000 Chinese Yuan that I'd like to convert to both US dollars and Euros. And while we're at it, I'm working on a project and need to calculate the distance. Could you help me find out how far apart two points are if one is at (3,5) and the other is at (7,9)?

Available functions:
name: find_term_on_urban_dictionary
description: Finds the definition of a term on Urban Dictionary.
parameters: type: dict
properties: term: type: string
description: The term to find the definition of.
required: term
name: get_distance
description: Calculates the distance between two 2D points.
parameters: type: dict
properties: pointA: type: tuple
description: The first point.
items: type: float
pointB: type: tuple
description: The second point.
items: type: float
required: pointA
pointB
name: get_fibonacci_sequence
description: Calculates the n numbers of the Fibonacci.
parameters: type: dict
properties: n: type: integer
description: The number of Fibonacci numbers to calculate.
required: n
name: convert_currency
description: Converts a given amount from one currency to another using the ExchangeRate-API.
parameters: type: dict
properties: amount: type: float
description: The amount of money to convert, in the base currency.
from_currency: type: string
description: The ISO currency code for the base currency.
to_currency: type: string
description: The ISO currency code for the target currency.
required: amount
from_currency
to_currency

Answer: find_term_on_urban_dictionary(term='Bitcoin')
convert_currency(amount=1000, from_currency='CNY', to_currency='USD')
convert_currency(amount=1000, from_currency='CNY', to_currency='EUR')
get_distance(pointA=(3,5), pointB=(7,9))
user: In my lab today, I'm working on two separate problems. First, I'm dealing with an electrostatics challenge where I have a sphere carrying a charge of 5 coulombs and it's exposed to an electric potential of 10 volts. I need to figure out the electrostatic potential energy for this setup. Also, I have a geometric task where I'm looking at a circle with a 7-unit radius, and I need to calculate its area. Could you provide me with the electrostatic potential energy for the charged sphere and the area of the circle?

Available functions:
name: calculate_electrostatic_potential_energy
description: Calculates the electrostatic potential energy.
parameters: type: dict
properties: charge: type: float
description: The charge of the object, in coulombs.
voltage: type: float
description: The voltage of the object, in volts.
required: charge
voltage
name: geometry_area_circle
description: Calculates the area of a circle.
parameters: type: dict
properties: radius: type: integer
description: The radius of the circle, in feet.
required: radius

Answer: calculate_electrostatic_potential_energy(charge=5.0, voltage=10.0)
geometry_area_circle(radius=7)
user: I've been closely tracking the COVID-19 situation, and I'm particularly concerned about the impact it's having on European countries. With family and friends living abroad, I need to stay informed about the situation in specific countries. Could you provide me with the latest figures on the total deaths and active COVID-19 cases for both Italy and Spain? This information is crucial for me to understand the current state of the pandemic in these regions.

Available functions:
name: get_covid_death_by_country
description: Finds the most up to date total deaths of a country result from COVID.
parameters: type: dict
properties: country: type: string
description: The country to find the total deaths of, in the format of the country's full name.
required: country
name: get_active_covid_case_by_country
description: Finds the most up to date active cases of a country result from COVID.
parameters: type: dict
properties: country: type: string
description: The country to find the active cases of, in the format of the country's full name.
required: country

Answer: get_covid_death_by_country(country='Italy')
get_covid_death_by_country(country='Spain')
get_active_covid_case_by_country(country='Italy')
get_active_covid_case_by_country(country='Spain')
user: I've been analyzing some financial algorithms and need to optimize a section where I calculate the GCD for two numbers, specifically 1200 and 21406. Additionally, for my stock portfolio analysis, I require the current stock price of Apple. Could you provide me with the greatest common divisor for those two numbers, and also fetch the latest price for the 'AAPL' stock?

Available functions:
name: get_stock_price_by_stock_name
description: Finds the price of a stock by its stock name.
parameters: type: dict
properties: stock_name: type: string
description: The stock name of the product, in the format of the stock symbol.
required: stock_name
name: mat_mul
description: Multiplies two matrices.
parameters: type: dict
properties: matA: type: array
description: The first matrix.
items: type: integer
matB: type: array
description: The second matrix.
items: type: integer
required: matA
matB
name: get_company_name_by_stock_name
description: Finds the company name of a stock by its stock name.
parameters: type: dict
properties: stock_name: type: string
description: The stock name of the product, in the format of the stock symbol.
required: stock_name
name: math_gcd
description: Calculates the greatest common divisor of two numbers.
parameters: type: dict
properties: a: type: integer
description: The first number. This should be the larger number.
b: type: integer
description: The second number.
required: a
b

Answer: math_gcd(a=1200, b=21406)
get_stock_price_by_stock_name(stock_name='AAPL')
user: I need to track down the physical location of an IP address for security reasons; the address is "192.168.1.1". Additionally, for a separate health report, I'm compiling, can you provide the latest total number of COVID-related deaths in Italy? Please give me the latitude and longitude for that IP and the death toll from Italy.

Available functions:
name: get_coordinate_by_ip_address
description: Finds the latitude and longitude of an IP address.
parameters: type: dict
properties: ip_address: type: string
description: The IP address to find the location of.
required: ip_address
name: get_covid_death_by_country
description: Finds the most up to date total deaths of a country result from COVID.
parameters: type: dict
properties: country: type: string
description: The country to find the total deaths of, in the format of the country's full name.
required: country

Answer: get_coordinate_by_ip_address(ip_address='192.168.1.1')
get_covid_death_by_country(country='Italy')
user: I need to calculate the average of the numbers 1, 3, 4, 6, and 8. Once that's done, could you also find me the geographical coordinates for Cupertino, the city where Apple's headquarters are located?

Available functions:
name: calculate_mean
description: Calculates the mean of a list of numbers.
parameters: type: dict
properties: numbers: type: array
items: type: float
description: The list of numbers.
required: numbers
name: get_stock_history
description: Finds the price of a stock by its stock name.
parameters: type: dict
properties: stock_name: type: string
description: The stock name of the product, in the format of the stock symbol.
interval: type: string
description: The interval of the stock history. Allows one of following : 5m|15m|30m|1h|1d|1wk|1mo|3mo
diffandsplits: type: string
description: The diff and splits of the stock history. Allows one of following : true|false. Default to false
required: stock_name
interval
name: get_coordinates_from_city
description: Fetches the latitude and longitude of a given city name using the Maps.co Geocoding API.
parameters: type: dict
properties: city_name: type: string
description: The name of the city, such as 'Rome'.
required: city_name

Answer: calculate_mean([1,3,4,6,8])
get_coordinates_from_city(city_name='Cupertino')
user: I've been doing some comprehensive research for various projects and I need to gather a bunch of different pieces of information. First, I'm looking to purchase a specific item from Amazon but want to make sure I'm getting the right thing. Could you find the product name and price for the item with the ASIN 'B08PPDJWC8'? 

Additionally, I'm working on a physics assignment where I need to calculate the electrostatic potential energy. The scenario involves an object with a charge of 5 coulombs subjected to a voltage of 10 volts. I need that calculation as soon as possible. Switching gears, I'm planning a cultural event and need to be mindful of holidays. Can you list all the holidays in the United States for the year 2022? Lastly, for a health and safety report, I need the latest total number of COVID-related deaths in Italy. Can you provide that data?

Available functions:
name: get_product_name_by_amazon_ASIN
description: Finds the price of a product by its Amazon ASIN.
parameters: type: dict
properties: ASIN: type: string
description: The Amazon ASIN of the product.
required: ASIN
name: calculate_electrostatic_potential_energy
description: Calculates the electrostatic potential energy.
parameters: type: dict
properties: charge: type: float
description: The charge of the object, in coulombs.
voltage: type: float
description: The voltage of the object, in volts.
required: charge
voltage
name: retrieve_holiday_by_year
description: Finds the holidays of a year.
parameters: type: dict
properties: year: type: string
description: The year of the holidays.
country: type: string
description: The country of the holidays. Possible options: US, AT, DE, ES, FR, GB, IT, NL, PL, RO, SK, UA.
required: year
country
name: get_covid_death_by_country
description: Finds the most up to date total deaths of a country result from COVID.
parameters: type: dict
properties: country: type: string
description: The country to find the total deaths of, in the format of the country's full name.
required: country

Answer: get_product_name_by_amazon_ASIN(ASIN='B08PPDJWC8')
calculate_electrostatic_potential_energy(charge=5.0, voltage=10.0)
retrieve_holiday_by_year(year='2022', country='US')
get_covid_death_by_country(country='Italy')
user: As a math enthusiast, John has set himself a new challenge. He's interested in the Fibonacci sequence and, more specifically, wants to work with the 5th and 8th numbers in the sequence. Additionally, he's curious about something a bit more spatial – he wants to know the distance between the points (3, 4) and (8, 10) on a 2D plane. Could you assist in determining those Fibonacci numbers and the distance between the points?

Available functions:
name: get_fibonacci_sequence
description: Calculates the n numbers of the Fibonacci.
parameters: type: dict
properties: n: type: integer
description: The number of Fibonacci numbers to calculate.
required: n
name: get_fibonacci_number
description: Calculates the nth Fibonacci number in the sequence where the sequence starts with 0 followed by 1, and each subsequent number is the sum of the previous two.
parameters: type: dict
required: n
properties: n: type: integer
description: The position of the Fibonacci number to calculate. This position must be a positive integer.
name: math_gcd
description: Calculates the greatest common divisor of two numbers.
parameters: type: dict
properties: a: type: integer
description: The first number. This should be the larger number.
b: type: integer
description: The second number.
required: a
b
name: get_distance
description: Calculates the distance between two 2D points.
parameters: type: dict
properties: pointA: type: tuple
description: The first point.
items: type: float
pointB: type: tuple
description: The second point.
items: type: float
required: pointA
pointB

Answer: get_fibonacci_number(n=5)
get_fibonacci_number(n=8)
get_distance(pointA=(3, 4), pointB=(8, 10))
user: I'm currently doing some financial analysis and I need a bit of computational help. Could you calculate the first 10 numbers in the Fibonacci sequence for me? Also, I'm looking at tech stocks and I'm particularly interested in the latest trading price for Microsoft. Can you find that out as well?

Available functions:
name: get_fibonacci_sequence
description: Calculates the n numbers of the Fibonacci.
parameters: type: dict
properties: n: type: integer
description: The number of Fibonacci numbers to calculate.
required: n
name: get_stock_price_by_stock_name
description: Finds the price of a stock by its stock name.
parameters: type: dict
properties: stock_name: type: string
description: The stock name of the product, in the format of the stock symbol.
required: stock_name

Answer: get_fibonacci_sequence(n=10)
get_stock_price_by_stock_name(stock_name='MSFT')
user: I've been trying to stay updated with the COVID-19 situation and would like to know the latest death toll in Brazil. Also, I'm considering buying a product from Amazon, but I want to check the price first; its ASIN is 'B08PPDJWC8'. Lastly, I heard someone use the word 'Savage' in a conversation earlier, and I'm curious about its meaning on Urban Dictionary. Can you help me get this information?

Available functions:
name: get_covid_death_by_country
description: Finds the most up to date total deaths of a country result from COVID.
parameters: type: dict
properties: country: type: string
description: The country to find the total deaths of, in the format of the country's full name.
required: country
name: get_price_by_amazon_ASIN
description: Finds the price of a product by its Amazon ASIN.
parameters: type: dict
properties: ASIN: type: string
description: The Amazon ASIN of the product.
required: ASIN
name: find_term_on_urban_dictionary
description: Finds the definition of a term on Urban Dictionary.
parameters: type: dict
properties: term: type: string
description: The term to find the definition of.
required: term

Answer: get_covid_death_by_country(country='Brazil')
get_price_by_amazon_ASIN(ASIN='B08PPDJWC8')
find_term_on_urban_dictionary(term='Savage')
user: I'm currently working on a financial report and I need to crunch some numbers. First, could you calculate the standard deviation for the data set [23, 436, 1231, 123]? Also, I'm helping a friend figure out potential housing costs; they're looking at a 30-year mortgage on a $350,000 loan with a 3.5% interest rate. What would their monthly payment be? Lastly, I'm planning a trip to San Francisco and I need the GPS coordinates for navigation purposes. Can you provide me with the latitude and longitude of San Francisco?

Available functions:
name: calculate_standard_deviation
description: Calculates the standard deviation of a list of numbers.
parameters: type: dict
properties: numbers: type: array
items: type: float
description: The list of numbers.
required: numbers
name: mortgage_calculator
description: Calculates the monthly mortgage payment.
parameters: type: dict
properties: loan_amount: type: float
description: The amount of the loan.
interest_rate: type: float
description: The interest rate of the loan, ranging from 0 to 1.
loan_period: type: integer
description: The period of the loan, in years.
required: loan_amount
interest_rate
loan_period
name: get_prime_factors
description: Calculates the prime factors of a number.
parameters: type: dict
properties: number: type: integer
description: The number to calculate the prime factors of.
required: number
name: get_coordinates_from_city
description: Fetches the latitude and longitude of a given city name using the Maps.co Geocoding API.
parameters: type: dict
properties: city_name: type: string
description: The name of the city, such as 'Rome'.
required: city_name

Answer: calculate_standard_deviation(numbers=[23,436,1231,123])
mortgage_calculator(loan_amount=350000, interest_rate=0.035, loan_period=30)
get_coordinates_from_city(city_name='San Francisco')
user: I've been shopping around on Amazon and stumbled upon a product with the ASIN 'B075H2B962'. I'm curious about what it actually is, so could you help me find out the product name?

On a different note, I'm brushing up on my math skills, and currently, I'm trying to figure out the number of different ways I can arrange 4 out of 10 unique items. Can you calculate that for me?

Also, I'm helping my nephew with his math homework, and we're stuck on finding the greatest common divisor of 36 and 48. Could you work that out?

Lastly, I'm in the process of buying a new home and considering a mortgage. I need to budget my finances, so for a loan amount of $200,000 with a 5% interest rate over 30 years, what would my monthly payment be?

Available functions:
name: get_product_name_by_amazon_ASIN
description: Finds the price of a product by its Amazon ASIN.
parameters: type: dict
properties: ASIN: type: string
description: The Amazon ASIN of the product.
required: ASIN
name: calculate_permutations
description: Calculates the number of permutations of k elements from a set of n elements.
parameters: type: dict
properties: n: type: integer
description: The number of elements in the set.
k: type: integer
description: The number of elements to choose.
required: n
k
name: math_gcd
description: Calculates the greatest common divisor of two numbers.
parameters: type: dict
properties: a: type: integer
description: The first number. This should be the larger number.
b: type: integer
description: The second number.
required: a
b
name: mortgage_calculator
description: Calculates the monthly mortgage payment.
parameters: type: dict
properties: loan_amount: type: float
description: The amount of the loan.
interest_rate: type: float
description: The interest rate of the loan, ranging from 0 to 1.
loan_period: type: integer
description: The period of the loan, in years.
required: loan_amount
interest_rate
loan_period

Answer: get_product_name_by_amazon_ASIN(ASIN='B075H2B962')
calculate_permutations(n=10, k=4)
math_gcd(a=36, b=48)
mortgage_calculator(loan_amount=200000, interest_rate=0.05, loan_period=30)
user: I'm doing some market research and need to gather a bit of data on two specific products that have caught my attention on Amazon. The first product has the ASIN 'B08PPDJWC8', and the second one is listed under the ASIN 'B08BHXG144'. I'm curious about the customer ratings for both of these products. Could you provide me with their ratings?

Also, I'm considering an interesting way to visualize their popularity based on the number of reviews. If we imagine that the popularity of each product is a circle with the radius equal to its number of reviews, with the first product having 50 reviews and the second 75 reviews, can you calculate the area for each of these 'popularity circles'?

Available functions:
name: get_rating_by_amazon_ASIN
description: Finds the rating of a product by its Amazon ASIN.
parameters: type: dict
properties: ASIN: type: string
description: The Amazon ASIN of the product.
required: ASIN
name: get_distance
description: Calculates the distance between two 2D points.
parameters: type: dict
properties: pointA: type: tuple
description: The first point.
items: type: float
pointB: type: tuple
description: The second point.
items: type: float
required: pointA
pointB
name: geometry_area_circle
description: Calculates the area of a circle.
parameters: type: dict
properties: radius: type: integer
description: The radius of the circle, in feet.
required: radius
name: get_zipcode_by_ip_address
description: Finds the zipcode of an IP address.
parameters: type: dict
properties: ip_address: type: string
description: The IP address to find the location of.
required: ip_address

Answer: get_rating_by_amazon_ASIN(ASIN='B08PPDJWC8')
get_rating_by_amazon_ASIN(ASIN='B08BHXG144')
geometry_area_circle(radius=50)
geometry_area_circle(radius=75)
user: I need to calculate the derivative of the function \( f(x) = x^2 \) at the point where \( x = 5 \). Additionally, I'm looking to find out the area of a circle that has a radius of 10. Switching gears a bit, I'm also interested in the stock history of Apple, focusing on the monthly interval, and for this query, the diff and splits information isn't necessary. Finally, I'd like to get the latest numbers on the active COVID cases in the United States. Can you assist me with these calculations and data retrievals?

Available functions:
name: estimate_derivative
description: Estimate the derivative of a function at a given point.
parameters: type: dict
properties: function: type: string
description: The function to calculate the derivative of.
x: type: integer
description: The point to calculate the derivative at.
required: function
x
name: geometry_area_circle
description: Calculates the area of a circle.
parameters: type: dict
properties: radius: type: integer
description: The radius of the circle, in feet.
required: radius
name: get_stock_history
description: Finds the price of a stock by its stock name.
parameters: type: dict
properties: stock_name: type: string
description: The stock name of the product, in the format of the stock symbol.
interval: type: string
description: The interval of the stock history. Allows one of following : 5m|15m|30m|1h|1d|1wk|1mo|3mo
diffandsplits: type: string
description: The diff and splits of the stock history. Allows one of following : true|false. Default to false
required: stock_name
interval
name: get_active_covid_case_by_country
description: Finds the most up to date active cases of a country result from COVID.
parameters: type: dict
properties: country: type: string
description: The country to find the active cases of, in the format of the country's full name.
required: country

Answer: estimate_derivative(function='lambda x:x**2', x=5)
geometry_area_circle(radius=10)
get_stock_history(stock_name='AAPL', interval='1mo', diffandsplits='false')
get_active_covid_case_by_country(country='United States')
user: I'm considering buying a new home and need to crunch some numbers to see if it's feasible. I've got my eye on a place, but I need to take out a loan of $350,000 to purchase it. The bank offered me a 30-year mortgage with a 3.5% interest rate. I need to figure out what my monthly payment would be with these terms. On a different note, I'm also curious about how this big financial step compares to my investments. For instance, what's the current price of Apple Inc. stock? And while we're at it, I've been tracking some data for a project at work and need to analyze it further. Could you help me calculate the standard deviation of these numbers: 45, 67, 34, 89, 23, 56, 78, 90, 32, 67? It would really help me understand the variability in the data set.

Available functions:
name: mortgage_calculator
description: Calculates the monthly mortgage payment.
parameters: type: dict
properties: loan_amount: type: float
description: The amount of the loan.
interest_rate: type: float
description: The interest rate of the loan, ranging from 0 to 1.
loan_period: type: integer
description: The period of the loan, in years.
required: loan_amount
interest_rate
loan_period
name: get_stock_price_by_stock_name
description: Finds the price of a stock by its stock name.
parameters: type: dict
properties: stock_name: type: string
description: The stock name of the product, in the format of the stock symbol.
required: stock_name
name: calculate_standard_deviation
description: Calculates the standard deviation of a list of numbers.
parameters: type: dict
properties: numbers: type: array
items: type: float
description: The list of numbers.
required: numbers

Answer: mortgage_calculator(loan_amount=350000, interest_rate=0.035, loan_period=30)
get_stock_price_by_stock_name(stock_name='AAPL')
calculate_standard_deviation(numbers=[45, 67, 34, 89, 23, 56, 78, 90, 32, 67])
user: I'm working on a project that requires some diverse bits of information. First, I need to schedule a meeting with a client who is located at the coordinates with longitude 120.97388 and latitude 23.973875; I want to make sure I get the timezone correct to avoid any confusion. Additionally, there's a design aspect where I need to calculate the area of a circular plot with a radius of 15 meters for the landscaping team. Lastly, I'm keeping an eye on my investment portfolio and I'm curious about the latest stock price for Apple. Could you provide me with the timezone for the specified coordinates, the area of the circle, and the current stock price for Apple?

Available functions:
name: get_time_zone_by_coord
description: Finds the timezone of a coordinate.
parameters: type: dict
properties: long: type: string
description: The longitude of the coordinate.
lat: type: string
description: The latitude of the coordinate.
required: long
lat
name: geometry_area_circle
description: Calculates the area of a circle.
parameters: type: dict
properties: radius: type: integer
description: The radius of the circle, in feet.
required: radius
name: get_stock_price_by_stock_name
description: Finds the price of a stock by its stock name.
parameters: type: dict
properties: stock_name: type: string
description: The stock name of the product, in the format of the stock symbol.
required: stock_name

Answer: get_time_zone_by_coord(long='120.97388', lat='23.973875')
geometry_area_circle(radius=15)
get_stock_price_by_stock_name(stock_name='AAPL')
user: I'm working on a statistical model related to health outcomes and need to calculate a few things. First, I need the probability of achieving exactly 5 successes in 10 trials, given each trial has a 50% chance of success. Additionally, for my analysis on the impact of the pandemic, I require the latest total death count for Italy due to COVID. Lastly, to correlate weather patterns with health data, could you fetch me the current temperature for New York City, located at 40.7128° N latitude and 74.0060° W longitude?

Available functions:
name: calc_binomial_probability
description: Calculates the probability of getting k successes in n trials.
parameters: type: dict
properties: n: type: integer
description: The number of trials.
k: type: integer
description: The number of successes.
p: type: float
description: The probability of success.
required: n
k
p
name: get_covid_death_by_country
description: Finds the most up to date total deaths of a country result from COVID.
parameters: type: dict
properties: country: type: string
description: The country to find the total deaths of, in the format of the country's full name.
required: country
name: get_weather_data
description: Fetches weather data from the Open-Meteo API for the given latitude and longitude.
parameters: type: dict
properties: coordinates: type: array
items: type: float
description: The latitude and longitude of the location.
required: coordinates

Answer: calc_binomial_probability(n=10, k=5, p=0.5)
get_covid_death_by_country(country='Italy')
get_weather_data(coordinates=[40.7128, -74.0060])
user: I've got a package that was shipped from the zipcode 08540. To track its journey, I need to calculate how far it has traveled. The package started with a speed of 20 meters per second and accelerated at 2 meters per second squared for a total of 10 seconds. Also, can you tell me which city the package was sent from?

Available functions:
name: get_zipcode_by_ip_address
description: Finds the zipcode of an IP address.
parameters: type: dict
properties: ip_address: type: string
description: The IP address to find the location of.
required: ip_address
name: retrieve_city_based_on_zipcode
description: Finds the city of a zipcode.
parameters: type: dict
properties: zipcode: type: string
description: The zipcode of the city.
required: zipcode
name: calculate_displacement
description: Calculates the displacement of an object.
parameters: type: dict
properties: initial_velocity: type: float
description: The initial velocity of the object, in meters per second.
acceleration: type: float
description: The acceleration of the object, in meters per second squared.
time: type: float
description: The time the object has been moving, in seconds.
required: initial_velocity
acceleration
time

Answer: retrieve_city_based_on_zipcode(zipcode='08540')
calculate_displacement(initial_velocity=20, acceleration=2, time=10)
user: I've been brushing up on my linear algebra and I'm working with matrix operations. I have these two matrices I need to multiply: the first one, matA, contains [[1, 2], [3, 4]] and the second one, matB, contains [[5, 6], [7, 8]]. Could you multiply these two for me? Also, while you're at it, I have this list of numbers [1,2,3,4], and I'm looking to calculate the average. What's the mean of this list?

Available functions:
name: mat_mul
description: Multiplies two matrices.
parameters: type: dict
properties: matA: type: array
description: The first matrix.
items: type: integer
matB: type: array
description: The second matrix.
items: type: integer
required: matA
matB
name: calculate_mean
description: Calculates the mean of a list of numbers.
parameters: type: dict
properties: numbers: type: array
items: type: float
description: The list of numbers.
required: numbers

Answer: mat_mul(matA=[[1, 2], [3, 4]], matB=[[5, 6], [7, 8]])
calculate_mean(numbers=[1,2,3,4])