yk12311/Berkeley-Function-Calling-Leaderboard huggingface dataset:
user: Calculate the Greatest Common Divisor (GCD) of 96 and 128, and the least common multiple (LCM) of 15 and 25.

Available functions:
name: primeFactors
description: Find all prime factors of an integer.
parameters: type: dict
properties: num: type: integer
description: The integer.
withMultiplicity: type: boolean
description: If true, includes the multiplicity of each factor.
required: num
name: lcm
description: Calculate the least common multiple of two integers.
parameters: type: dict
properties: num1: type: integer
description: The first integer.
num2: type: integer
description: The second integer.
required: num1
num2
name: gcd
description: Calculate the greatest common divisor of two integers.
parameters: type: dict
properties: num1: type: integer
description: The first integer.
num2: type: integer
description: The second integer.
required: num1
num2
user: Calculate the magnetic field produced by a wire carrying a current of 4 amps with a distance of 2 m from the wire. And find the voltage difference of a region in the direction of the electric field that is 3 m apart, assuming the electric field is 5 N/C.

Available functions:
name: calculate_voltage_difference
description: Calculate the voltage difference between two points in an electric field.
parameters: type: dict
properties: electric_field: type: float
description: The electric field in newtons per coulomb.
distance: type: float
description: The distance between the two points in the direction of the field in meters.
charge: type: float
description: The charge of the test particle, typically an electron, in coulombs. Default to 0
required: electric_field
distance
name: calculate_magnetic_field
description: Calculate the magnetic field produced by a current-carrying wire.
parameters: type: dict
properties: current: type: float
description: The current in the wire in amperes.
distance: type: float
description: The perpendicular distance from the wire in meters.
permeability: type: float
description: The permeability of free space, a constant value. Default 0.1
required: current
distance
user: Determine the median and variance for the following data points 3,4,5,2,8,5. Also determine the mode for these points.

Available functions:
name: statistics.variance
description: This function calculates the variance of a given set of numbers.
parameters: type: dict
properties: data: type: array
items: type: integer
description: The list of data points.
population: type: boolean
description: Determines whether to use population variance formula. Default to True
required: data
name: statistics.median
description: This function returns the median of the data set provided.
parameters: type: dict
properties: data: type: array
items: type: integer
description: The list of data points.
required: data
name: statistics.mode
description: This function determines the mode of a list of numbers.
parameters: type: dict
properties: data: type: array
items: type: integer
description: The list of data points.
required: data
user: Use the data from dataset.csv file and fit a linear regression model to predict future sales by setting x=data['sales'] and y=data['future_sales']. Additionally, calculate and return the residuals.

Available functions:
name: linear_regression_fit
description: Fit a linear regression model to data.
parameters: type: dict
properties: x: type: array
items: type: float
description: Array of the predictor variable.
y: type: array
items: type: float
description: Array of the dependent variable.
return_residuals: type: boolean
description: Flag indicating whether to return the residuals (the difference between the observed and predicted values). Optional.
required: x
y
name: data_loading
description: Load data from a csv file into a data structure.
parameters: type: dict
properties: file_path: type: string
description: The path to the file to load.
delimiter: type: string
description: The character used to separate values in the file. Optional.
required: file_path
user: Get me the transaction history for my account '00125648' for the past 7 days and also calculate the total balance.

Available functions:
name: bank.get_transaction_history
description: Retrieve transaction history for a specific bank account over a specified time frame.
parameters: type: dict
properties: account: type: string
description: The account number for which transaction history is required.
days: type: integer
description: Number of past days for which to retrieve the transaction history.
required: account
days
name: bank.calculate_balance
description: Calculate the balance of a specified bank account based on the transactions.
parameters: type: dict
properties: account: type: string
description: The account number for which balance is to be calculated.
transactions: type: array
description: Transaction array Default is empty array.
items: type: dict
properties: amount: type: float
description: The amount of the transaction. Default 0
type: type: string
enum: credit
debit
description: Type of the transaction. Default is credit.
starting_balance: type: float
description: The starting balance of the account, if known. Default 0.0
required: account
user: Find cases that pertain to 'Theft' from court record in 'New York' and from 'San Francisco', filed in year 2021, and display briefs of top 5 relevant cases.

Available functions:
name: briefs.display_cases
description: Display briefs of the cases
parameters: type: dict
properties: case_id: type: array
items: type: string
description: A list of unique identifiers for cases.
required: case_id
name: court_records.search_cases
description: Search for court cases based on specific criteria.
parameters: type: dict
properties: location: type: string
description: The city where the court is located
query: type: string
description: Search string to look for specific cases
year: type: integer
description: Year the case was filed
limit: type: integer
description: Limits the number of results returned
required: location
query
year
user: Find all law cases where Charles Dickens is a party and it happened in Boston. Also, get cases where University of California was a party and happened in Los Angeles.

Available functions:
name: movie_ratings.get_movie
description: Get a movie by its name.
parameters: type: dict
properties: movie_name: type: string
description: The name of the movie to be retrieved
required: movie_name
name: legal_case.get_summary
description: Get a summary of a legal case
parameters: type: dict
properties: case_id: type: string
description: The unique ID of the case to summarise
summary_type: type: string
description: Type of the summary to get, e.g., brief, full
required: case_id
optional: summary_type
name: legal_case.find_parties
description: Locate legal cases involving a specified party in a particular city
parameters: type: dict
properties: party_name: type: string
description: The name of the party involved in the case
city: type: string
description: The city where the case was heard
required: party_name
city
user: Find how many cases and the judge handling a specific lawsuit for Pacific Gas and Electric and Tesla Inc.

Available functions:
name: lawsuit.fetch_details
description: Fetch the details of a lawsuit for a specific company.
parameters: type: dict
properties: company_name: type: string
description: The company involved in the lawsuit.
required: company_name
name: lawsuit.judge
description: Fetch the judge handling a lawsuit for a specific company.
parameters: type: dict
properties: company_name: type: string
description: The company involved in the lawsuit.
lawsuit_id: type: integer
description: The ID number of the lawsuit. Default to 123
required: company_name
user: Get me the timeline of World War 2 in Europe and then get me an array of important leaders involved during the war.

Available functions:
name: history.get_timeline
description: Retrieve the timeline for a specific historical event
parameters: type: dict
properties: event: type: string
description: The historical event you want the timeline for.
region: type: string
description: Region of the event.
required: event
name: history.get_important_figures
description: Retrieve array of important figures involved during a specific historical event.
parameters: type: dict
properties: event: type: string
description: The historical event for which you want the array of important figures.
number: type: integer
description: Number of top figures you want. Default to 1
required: event
user: What is the exact birthdate of Nikola Tesla and what his most famous discovery was?

Available functions:
name: scientist_info.get_birthdate
description: Retrieve the birthdate of a specific scientist.
parameters: type: dict
properties: name: type: string
description: The name of the scientist.
required: name
name: scientist_info.get_famous_discovery
description: Retrieve the most famous discovery made by a specific scientist.
parameters: type: dict
properties: name: type: string
description: The name of the scientist.
discovery_order: type: integer
description: The order of discoveries if the scientist made multiple discoveries. If not provided, the first (or most famous) discovery will be returned.
required: name
user: Find me a bronze statue in the Modern Arts Museum in New York and a stone sculpture in the Louvre Museum in Paris. Also, find me a painting made by Picasso in the Metropolitan Museum of Art.

Available functions:
name: book.find
description: Find a book in a library based on specific criteria like author, genre or publication year.
parameters: type: dict
properties: library: type: string
description: The name of the library.
author: type: string
description: Author of the book.
genre: type: string
description: Genre of the book.
year: type: integer
description: Year of publication.
required: library
author
name: historical_landmark.find
description: Find historical landmarks based on specific criteria like location or era.
parameters: type: dict
properties: location: type: string
description: Location of the landmark.
era: type: string
description: Era of the landmark. E.g. Middle Ages, Renaissance
required: location
name: artwork.find
description: Locate artwork in museums based on specific criteria like type of material, artist, or era.
parameters: type: dict
properties: museum: type: string
description: The name of the museum, e.g. Modern Arts Museum, New York
type: type: string
description: Type of the artwork. E.g. Painting, Sculpture
material: type: string
description: Material of the artwork if it's a sculpture. E.g. Bronze, Marble
artist: type: string
description: Name of the artist.
required: museum
type
user: Find the operational hours for Louvre Museum and the waiting time, then tell me how long it will take to travel from my current location to the museum.

Available functions:
name: museum.get_hours
description: Retrieve the operational hours of a specified museum.
parameters: type: dict
properties: museum_name: type: string
description: The name of the museum.
required: museum_name
name: location.get_travel_time
description: Retrieve the estimated travel time from current location to a specific destination.
parameters: type: dict
properties: destination: type: string
description: The destination location.
mode: type: string
enum: Driving
Biking
Walking
description: Mode of travel.
required: destination
name: museum.get_waiting_time
description: Retrieve the estimated waiting time at a specific museum.
parameters: type: dict
properties: museum_name: type: string
description: The name of the museum.
day: type: string
enum: Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
Sunday
description: Day of the week.
required: museum_name
user: Create a hip hop beat at 95 beats per minute with a major scale and make a bass melody with C4, E4, F4, G4.

Available functions:
name: melody_generator
description: Create a melody based on specified notes.
parameters: type: dict
properties: note_sequence: type: array
items: type: string
description: The sequence of notes for the melody.
instrument: type: string
description: The instrument to play the melody, e.g. Bass.
required: note_sequence
name: beat_generator
description: Generate a beat based on specified genre and beats per minute.
parameters: type: dict
properties: genre: type: string
description: The genre of the beat, e.g. Hip Hop.
bpm: type: integer
description: The beats per minute of the beat.
scale: type: string
description: The scale for the beat, e.g. Major.
required: genre
bpm
user: In game Battle Reign, change the armor level to 5 and find me a game guide for how to win in snowy weather conditions. Also find me any strategy guides available for game Shadow Fall.

Available functions:
name: BattleReignGameAPI.update_player_equipment
description: Modify the player's equipment level for specified attributes
parameters: type: dict
properties: attribute: type: string
description: The attribute of the equipment to modify.
level: type: integer
description: The level to modify the attribute to.
playerID: type: integer
description: Player ID of the player. Default to 123
required: attribute
level
name: GameGuideAPI.search_guide
description: Search for game guides given specific conditions and preferences
parameters: type: dict
properties: game: type: string
description: Name of the game.
condition: type: string
description: Specific game conditions. (eg: 'snowy weather', 'hard mode').
type: type: string
description: Specific type of guide. (eg: 'strategy', 'walkthrough')
required: game
user: Find hotels in Paris, France and New York, USA with at least 4 stars rating. Also I prefer hotels with amenities like free WiFi, breakfast included, and gym facility

Available functions:
name: hotel.find
description: Search for hotels given the location, minimum stars and specific amenities.
parameters: type: dict
properties: location: type: string
description: The city where you want to find the hotel
stars: type: integer
description: Minimum number of stars the hotel should have. Default 1
amenities: type: array
items: type: string
description: Preferred amenities in hotel. Here are a list of possible option : 'Free WiFi', 'Breakfast Included', 'Gym', 'Free Parking'
enum: Free WiFi
Breakfast Included
Gym
Free Parking
description: List of preferred amenities in hotel. Default to empty array
required: location
stars
name: flight.search
description: Search for flights given the origin, destination, date, and number of passengers.
parameters: type: dict
properties: origin: type: string
description: The origin of the flight
destination: type: string
description: The destination of the flight
date: type: any
description: The date of the flight. Default ''
passengers: type: integer
description: The number of passengers
required: origin
destination
user: "Could you please help me with a couple of calculations? I have two points in a 2D space, Point A with coordinates [3, 2] and Point B with coordinates [7, 5]. First, I would like to know the Euclidean distance between these two points, rounded to 2 decimal places. Then, I would like to find out the angle between these two points with respect to the x-axis, also rounded to 2 decimal places. After that, I have another set of points, Point C with coordinates [10, 8] and Point D with coordinates [14, 12]. Could you please calculate the Euclidean distance and the angle to the x-axis for these points as well, both rounded to 2 decimal places?"

Available functions:
name: angleToXAxis.calculate
description: Calculate the angle between two points with respect to x-axis.
parameters: type: dict
properties: pointA: type: array
items: type: integer
description: Coordinates for Point A.
pointB: type: array
items: type: integer
description: Coordinates for Point B.
rounding: type: integer
description: Optional: The number of decimals to round off the result.
required: pointA
pointB
name: EuclideanDistance.calculate
description: Calculate the Euclidean distance between two points.
parameters: type: dict
properties: pointA: type: array
items: type: integer
description: Coordinates for Point A.
pointB: type: array
items: type: integer
description: Coordinates for Point B.
rounding: type: integer
description: Optional: The number of decimals to round off the result.
required: pointA
pointB
user: "A car is traveling on a straight road. At the start, it has an initial speed of 5 m/s. Suddenly, the driver sees a traffic light turning red in the distance and starts to accelerate at a rate of 2 m/s^2. The driver keeps this acceleration for 10 seconds. Can you calculate the displacement of the car during this time? Also, what is the final speed of the car after this 10 seconds? Please round off your answers to 2 decimal places."

Available functions:
name: kinematics.calculate_final_speed
description: Calculate the final speed of an object that starts from an initial speed and then accelerates for a certain duration.
parameters: type: dict
properties: initial_speed: type: float
description: The initial speed of the moving object in m/s.
acceleration: type: float
description: The rate of change of speed, m/s^2.
time: type: float
description: The time interval during which the acceleration is applied, in seconds.
rounding: type: integer
description: The number of decimals to round off the result (optional).
required: initial_speed
acceleration
time
name: kinematics.calculate_displacement
description: Calculate displacement based on initial speed, acceleration, and time interval for a motion along a straight line.
parameters: type: dict
properties: initial_speed: type: float
description: The initial speed of the moving object in m/s.
acceleration: type: float
description: The rate of change of speed, m/s^2.
time: type: float
description: The time interval during which the acceleration is applied, in seconds.
rounding: type: integer
description: The number of decimals to round off the result (optional).
required: initial_speed
acceleration
time
user: "Can you help me understand the ecological impact of the African Elephant in the Serengeti ecosystem over the last 5 years and also assess the population growth of the same species in the same location over the last 10 years? After that, I would also like to know the ecological impact of the Bengal Tiger in the Sundarbans ecosystem over the last 3 years and assess the population growth of the same species in the same location over the last 7 years."

Available functions:
name: wildlife_population.assess_growth
description: Assesses the population growth of a specific species in a specified location over a period.
parameters: type: dict
properties: species: type: string
description: The species for which the growth is to be calculated.
location: type: string
description: The area where the species is present.
duration: type: integer
description: The time period for which the population growth should be calculated in years.
required: species
location
duration
name: ecological_impact.analyze
description: Analyzes the impact of a species on a particular ecosystem.
parameters: type: dict
properties: species: type: string
description: The species whose impact is to be calculated.
ecosystem: type: string
description: The ecosystem being affected.
location: type: string
description: The area where the impact is analyzed.
timeframe: type: integer
description: The time period for which the impact analysis should be carried out in years.
required: species
ecosystem
location
user: "Can you help me with some math problems? First, I need to find the roots of a quadratic equation. The equation is 3x^2 + 4x - 7 = 0, where 3 is the coefficient of the second-degree term, 4 is the coefficient of the first-degree term, and -7 is the constant term. 

Second, I have a cubic equation, 2x^3 - 5x^2 + 3x - 1 = 0. Here, 2 is the coefficient of the third-degree term, -5 is the coefficient of the second-degree term, 3 is the coefficient of the first-degree term, and -1 is the constant term. 

Finally, I have a polynomial equation of degree 4, which is 6x^4 - 3x^3 + 2x^2 - x + 1 = 0. The array of coefficients of the polynomial equation starting from the highest degree term is [6, -3, 2, -1, 1]. Can you calculate the roots for these equations?"

Available functions:
name: math.roots.polynomial
description: Calculate the roots of a polynomial equation.
parameters: type: dict
properties: coefficients: type: array
items: type: float
description: Array of coefficients of the polynomial equation starting from highest degree term.
degree: type: float
description: Degree of the polynomial equation.
required: coefficients
name: math.roots.cubic
description: Calculate the roots of a cubic equation.
parameters: type: dict
properties: a: type: float
description: Coefficient of the third-degree term.
b: type: float
description: Coefficient of the second-degree term.
c: type: float
description: Coefficient of the first-degree term.
d: type: float
description: Constant term.
required: a
b
c
d
name: math_roots.quadratic
description: Calculate the roots of a quadratic equation.
parameters: type: dict
properties: a: type: float
description: Coefficient of the second-degree term.
b: type: float
description: Coefficient of the first-degree term.
c: type: float
description: Constant term.
required: a
b
c
user: "Imagine you are a real estate investor. You bought a property 5 years ago for $500,000. The annual depreciation rate for the property is 2%. Can you calculate the current depreciated value of the property? Now, consider you had a sum of $200,000 at the same time you bought the property. If the annual inflation rate has been 3% for the past 5 years, how much would that sum be worth today? Also, suppose you took out a loan of $300,000 with an annual interest rate of 4% to help finance the property purchase. If the loan term was 10 years, what would be your monthly repayment for the loan? Lastly, if you calculate the property depreciation monthly instead of annually, what would be the depreciated value of the property now?"

Available functions:
name: finance.loan_repayment
description: Calculates the monthly repayment for a loan.
parameters: type: dict
properties: loan_amount: type: float
description: The amount borrowed or loaned.
interest_rate: type: float
description: The annual interest rate.
loan_term: type: integer
description: The term of the loan in years.
required: loan_amount
interest_rate
loan_term
name: finance.inflation_adjustment
description: Adjusts a sum of money for inflation based on the consumer price index (CPI).
parameters: type: dict
properties: initial_sum: type: float
description: The initial sum of money.
years: type: integer
description: The number of years over which inflation is calculated.
inflation_rate: type: float
description: The annual rate of inflation.
required: initial_sum
years
inflation_rate
name: finance.property_depreciation
description: Calculates the depreciated value of a property given its initial cost, depreciation rate, and the number of years.
parameters: type: dict
properties: initial_cost: type: float
description: The initial cost of the property.
depreciation_rate: type: float
description: The annual depreciation rate in percentage.
years: type: integer
description: The number of years for which to calculate the depreciation.
monthly: type: boolean
description: If set to true, it will calculate monthly depreciation instead of annually. (optional)
required: initial_cost
depreciation_rate
years
user: "Could you first check the availability of a sculpture named 'The Thinker' made of bronze in the inventory using the 'sculpture_availability.check' function? Then, could you provide information about a sculptor named 'Auguste Rodin' using the 'sculptor_info.get' function? Lastly, could you calculate the estimated price to commission a sculpture made of marble, 10 feet in size, and with high complexity using the 'sculpture_price.calculate' function?"

Available functions:
name: sculpture_availability.check
description: Check the availability of a specific sculpture in the inventory.
parameters: type: dict
properties: sculpture_name: type: string
description: The name of the sculpture.
material: type: string
description: The material of the sculpture.
required: sculpture_name
material
name: sculptor_info.get
description: Get information about a specific sculptor.
parameters: type: dict
properties: name: type: string
description: The name of the sculptor.
required: name
name: sculpture_price.calculate
description: Calculate the estimated price to commission a sculpture based on the material and size.
parameters: type: dict
properties: material: type: string
description: The material used for the sculpture.
size: type: integer
description: The size of the sculpture in feet.
complexity: type: string
enum: low
medium
high
description: The complexity level of the sculpture. Default is 'medium'.
required: material
size
user: "Could you please generate a sinusoidal sound wave with a frequency of 440 Hz and a duration of 5 seconds, save it to a WAV file named 'test.wav', then generate a square wave sound with a frequency of 880 Hz and a duration of 10 seconds, save it to a file named 'test2.wav', and finally play the 'test.wav' file at a volume level of 0.8 and the 'test2.wav' file at a volume level of 0.6?"

Available functions:
name: generate_sound_wave
description: This function is for generating a sinusoidal sound wave file of a certain frequency for a specific duration and save it to a WAV file.
parameters: type: dict
properties: frequency: type: float
description: The frequency of the sound wave in Hz.
duration: type: integer
description: The duration of the sound in seconds.
wave_type: type: string
enum: sine
square
sawtooth
description: The waveform to be used to generate the sound.
required: frequency
duration
name: play_sound_wave
description: This function is for playing a sound wave file.
parameters: type: dict
properties: wave_file: type: string
description: The filename of the sound wave file to be played.
volume: type: float
description: The volume level at which the sound is to be played (1 is 100%).
required: wave_file
user: "Can you help me plan my day? I want to start from my home in New York and go to a chess club named 'Knight Gambit' located in Boston. I want to take the fastest route. After that, I want to go to another chess club named 'Rook Corner' in Philadelphia, again taking the fastest route. Finally, I want to return home, but this time I want to take the shortest route. Can you also provide me with the details of the events hosted by both chess clubs?"

Available functions:
name: chess_club_details.find
description: Provides details about a chess club, including location.
parameters: type: dict
properties: name: type: string
description: The name of the chess club.
city: type: string
description: The city in which the chess club is located.
event: type: string
description: The event hosted by the club.
required: name
city
name: route_planner.calculate_route
description: Determines the best route between two points.
parameters: type: dict
properties: start: type: string
description: The starting point of the journey.
destination: type: string
description: The destination of the journey.
method: type: string
enum: fastest
shortest
balanced
description: The method to use when calculating the route (default is 'fastest').
required: start
destination
user: "Can you help me plan a trip? I would like to first find the shortest path from my home in New York City to the Metropolitan Museum of Art by walking. Then, I want to estimate how long it will take to walk this route. After visiting the museum, I plan to bike to Central Park. Could you find the shortest path for this bike trip? And finally, I would like to know how long it would take to bike this route."

Available functions:
name: maps.shortest_path
description: Find the shortest path from one location to another by using a specific mode of transportation.
parameters: type: dict
properties: start_location: type: string
description: The name or coordinates of the start location.
end_location: type: string
description: The name or coordinates of the end location.
mode: type: string
description: The mode of transportation (walk, bike, transit, drive).
required: start_location
end_location
name: maps.route_times
description: Estimates the time it will take to travel from one location to another by a specific mode of transportation.
parameters: type: dict
properties: route: type: string
description: The string representation of the route.  Format is location 1 to location 2
mode: type: string
description: The mode of transportation (walk, bike, transit, drive).
required: route
user: "Imagine you are a sculptor working on a large project. You have two different types of materials available to you, each with a different density. The first material has a density of 5.2 g/cm^3 and the second material has a density of 7.8 g/cm^3. You are planning to create two identical cones, each with a base radius of 10 cm and a height of 30 cm. The first cone will be made from the first material and the second cone will be made from the second material. Can you calculate the volume of each cone, rounding off to 2 decimal places, and then calculate the mass of each cone using their respective densities?"

Available functions:
name: geometry.calculate_cone_volume
description: Calculate the volume of a cone given the radius and height.
parameters: type: dict
properties: radius: type: float
description: Radius of the cone base.
height: type: float
description: Height of the cone.
round_off: type: integer
description: Number of decimal places to round off the answer.
required: radius
height
name: physics.calculate_cone_mass
description: Calculate the mass of a cone given the radius, height, and density.
parameters: type: dict
properties: radius: type: float
description: Radius of the cone base.
height: type: float
description: Height of the cone.
density: type: float
description: Density of the material the cone is made of.
required: radius
height
density
user: "Can you help me with my calculus homework? I have two problems that I'm stuck on. The first one is to calculate the definite integral of the function 3x^2 - 2x + 1 from x = 1 to x = 4. The second problem is to calculate the derivative of the function 2x^3 - 3x^2 + 4x - 5 at x = 2. And for extra credit, I need to find the second order derivative of the same function at x = 2. Can you solve these for me?"

Available functions:
name: calculate_integral
description: Calculate the definite integral of a single-variable function.
parameters: type: dict
properties: func: type: string
description: The function to be integrated.
a: type: integer
description: The lower bound of the integration.
b: type: integer
description: The upper bound of the integration.
required: func
a
b
name: calculate_derivative
description: Calculate the derivative of a single-variable function.
parameters: type: dict
properties: func: type: string
description: The function to be differentiated.
x_value: type: integer
description: The x-value at which the derivative should be calculated.
order: type: integer
description: The order of the derivative (optional). Default is 1st order.
required: func
x_value
user: "Imagine you are a math teacher preparing for a class. You want to create a challenging problem for your students that involves multiple steps. You decide to create a problem that involves finding the least common multiple (LCM) and the greatest common divisor (GCD) of two numbers, and then calculating the square root of these results. You choose the numbers 36 and 48 for the LCM and GCD calculations. For the square root calculations, you want the results to be accurate to 3 decimal places. What are the square roots of the LCM and GCD of 36 and 48, accurate to 3 decimal places?"

Available functions:
name: math.sqrt
description: Calculates the square root of a number.
parameters: type: dict
properties: num: type: float
description: The number.
accuracy: type: float
description: The number of decimal places in the result.
required: num
name: math.gcd
description: Calculates the greatest common divisor of two numbers.
parameters: type: dict
properties: num1: type: integer
description: The first number.
num2: type: integer
description: The second number.
required: num1
num2
name: math.lcm
description: Calculates the least common multiple of two numbers.
parameters: type: dict
properties: num1: type: integer
description: The first number.
num2: type: integer
description: The second number.
required: num1
num2
user: "Could you please help me with a couple of calculations? First, I need to find the greatest common divisor of 56 and 98 using the Euclidean algorithm. After that, I would like to know the greatest common divisor of 81 and 27, but this time using the binary algorithm. Once we have those, I need to calculate the least common multiple of 15 and 25 using the standard method. And finally, could you find the least common multiple of 21 and 14 using the reduced method?"

Available functions:
name: calculate_lcm
description: Calculate the least common multiple (lcm) between two integers.
parameters: type: dict
properties: num1: type: integer
description: First number to calculate lcm for.
num2: type: integer
description: Second number to calculate lcm for.
method: type: string
description: The specific method to use in the calculation. Supported values: 'standard', 'reduced'
required: num1
num2
name: calculate_gcd
description: Calculate the greatest common divisor (gcd) between two integers.
parameters: type: dict
properties: num1: type: integer
description: First number to calculate gcd for.
num2: type: integer
description: Second number to calculate gcd for.
algorithm: type: string
description: The specific algorithm to use in the calculation. Supported values: 'euclidean', 'binary'
required: num1
num2
user: "A car starts from rest and travels a distance of 120 meters in 10 seconds. What is the speed of the car at the end of this time period? After reaching this speed, the car continues to accelerate for another 5 seconds from 12 m/s until it reaches a final speed doubling the initial speed. The final speed is twice the speed calculated in the first part. What is the acceleration of the car in this second phase?"

Available functions:
name: kinematics.calculate_acceleration
description: Calculates the acceleration of an object under given conditions.
parameters: type: dict
properties: initial_speed: type: float
description: The initial speed of the object.
final_speed: type: float
description: The final speed of the object.
time: type: float
description: The time in seconds it took the object to reach the final speed.
distance: type: float
description: The distance in meters the object has traveled.
required: initial_speed
final_speed
time
name: kinematics.calculate_speed_from_rest
description: Calculates the speed of an object that starts from rest under a constant acceleration over a specified distance.
parameters: type: dict
properties: distance: type: float
description: The distance in meters the object has traveled.
time: type: float
description: The time in seconds it took the object to travel.
initial_speed: type: float
description: The initial speed of the object.
required: distance
time
user: "Could you help me plan my day? I need to go from my home at 123 Main Street to my office at 456 Park Avenue, and I don't want to spend more than $30 on the ride. After work, I need to order groceries from the Whole Foods at 789 Broadway. The items I need are milk, bread, eggs, and apples. I don't want to spend more than $10 on delivery. Then, I need to get a ride from my office to my friend's house at 321 Elm Street, and I don't want to spend more than $20 on that ride. Finally, I need to get a ride from my friend's house back to my home, and I don't want to spend more than $25 on that ride. Can you help me with all of this?"

Available functions:
name: grocery_delivery.order
description: Order grocery items from a specific location with optional delivery price limit
parameters: type: dict
properties: location: type: string
description: The location of the grocery store
items: type: array
items: type: string
description: List of items to order
max_delivery_cost: type: float
description: The maximum delivery cost. It is optional
required: location
items
name: ride_hailing.get_rides
description: Find ride from source to destination with an optional cost limit
parameters: type: dict
properties: source: type: string
description: The starting point of the journey
destination: type: string
description: The endpoint of the journey
max_cost: type: float
description: The maximum cost of the ride. It is optional
required: source
destination
user: "Imagine you are a scientist studying the energy production of a certain type of bacteria. You have a sample of this bacteria that has consumed 5 moles of glucose (C6H12O6) and you know that the energy produced from glucose is typically 2800 kJ/mol. You also know that the bacteria's conversion efficiency, or the percentage of energy from glucose that is converted into biomass, is 10%. 

First, calculate the total energy produced by the bacteria from consuming the glucose. 

Second, calculate the amount of biomass produced by the bacteria given the energy produced and the conversion efficiency. 

Now, imagine you are using this bacteria in a bioreactor to power a small machine. The machine needs to move a distance of 2 meters and you want to calculate the work done by the machine. 

Third, calculate the work done by the machine given the total energy produced by the bacteria and the distance the machine needs to move."

Available functions:
name: biological.calc_biomass
description: Calculate the biomass from the energy given the energy conversion efficiency.
parameters: type: dict
properties: energy: type: float
description: The total energy produced.
efficiency: type: float
description: The conversion efficiency, default value is 10%.
required: energy
name: biological.calc_energy
description: Calculate energy from amount of substance based on its molecular composition.
parameters: type: dict
properties: mols: type: float
description: Amount of substance in moles.
substance: type: string
description: The chemical formula of the substance.
joules_per_mol: type: float
description: The energy produced or required for the reaction, default value for glucose is 2800 kJ/mol
required: mols
substance
name: physical.calc_work
description: Calculate the work from energy.
parameters: type: dict
properties: energy: type: float
description: The total energy produced.
distance: type: float
description: The distance over which the work is done.
required: energy
distance
user: "Given the list of words ['apple', 'banana', 'cherry', 'date', 'elderberry'], can you first use the 'sort_list' function to sort this list in descending order? Then, using the 'filter_list' function, can you filter out the fruits that start with the letter 'b'? After that, consider the list of numbers [5, 10, 15, 20, 25]. Can you use the 'sum_elements' function to find the total sum of these numbers? Finally, use the 'sort_list' function again to sort the numbers [35, 10, 25, 5, 15] in ascending order?"

Available functions:
name: sort_list
description: Sort the elements of a list in ascending or descending order
parameters: type: dict
properties: elements: type: array
items: type: integer
description: The list of elements to sort.
order: type: string
description: The order in which to sort the elements. This can be 'asc' for ascending order, or 'desc' for descending order.
required: elements
name: sum_elements
description: Add all elements of a numeric list
parameters: type: dict
properties: elements: type: array
items: type: integer
description: The list of numeric elements to add.
required: elements
name: filter_list
description: Filters elements of a list based on a given condition
parameters: type: dict
properties: elements: type: array
items: type: string
description: The list of elements to filter.
condition: type: string
description: The condition to filter the elements on.
required: elements
condition
user: "John has decided to invest his savings. He has $5000 that he wants to invest for a period of 5 years. He is considering two options. The first option is a simple interest scheme that offers an annual interest rate of 4%. The second option is a compound interest scheme that offers an annual interest rate of 3.5% and compounds interest annually. He also came across a third option where he can invest an initial amount of $3000 at an annual interest rate of 5% for 6 years with interest compounded twice a year. Can you help him calculate the returns for each of these options using the calc_Simple_Interest, calc_Compound_Interest, and future_value functions respectively?"

Available functions:
name: calc_Simple_Interest
description: Compute simple interest.
parameters: type: dict
properties: principle_amount: type: float
description: The principle amount that is invested.
duration: type: float
description: Duration of time period in years.
annual_rate: type: float
description: Interest rate in percentage.
required: principle_amount
duration
annual_rate
name: future_value
description: Calculates the future value of an investment given an interest rate and time period.
parameters: type: dict
properties: initial_investment: type: float
description: The initial investment amount.
interest_rate: type: float
description: The annual interest rate (as a decimal).
time: type: integer
description: The number of time periods the money is invested for.
num_compoundings: type: integer
description: The number of times that interest is compounded per time period.
required: initial_investment
interest_rate
time
name: calc_Compound_Interest
description: Compute compound interest.
parameters: type: dict
properties: principle_amount: type: float
description: The principle amount that is invested.
duration: type: float
description: Duration of time period in years.
annual_rate: type: float
description: Interest rate in percentage.
compound_freq: type: integer
description: The number of times that interest is compounded per unit time.
required: principle_amount
duration
annual_rate
user: "Could you please provide me with the historical dividend data for Microsoft for the past 5 years on a quarterly basis, then the same data but on an annual basis? After that, could you retrieve the stock market data for Microsoft for the past 60 days and then for the past 120 days?"

Available functions:
name: corporate_finance.dividend_data
description: Get historical dividend data of a specific company within a particular duration.
parameters: type: dict
properties: company: type: string
description: The company that you want to get the dividend data for.
years: type: integer
description: Number of past years for which to retrieve the data.
frequency: type: string
enum: quarterly
annually
description: The frequency of the dividend payment.
required: company
years
name: stock_market_data
description: Retrieve stock market data for a specific company and time frame.
parameters: type: dict
properties: company: type: string
description: The company that you want to get the stock market data for.
days: type: integer
description: Number of past days for which to retrieve the data.
required: company
days
user: "Can you help me plan a trip? I need to know the distance in kilometers from New York to London using the 'geodistance.find' function, then I want to know the time difference between New York and London using the 'timezones.get_difference' function. After that, I want to find flights from New York to London on the date of 'next friday' using the 'flights.search' function. Finally, I want to know the distance in miles from London to Paris using the 'geodistance.find' function again."

Available functions:
name: flights.search
description: Find flights between two cities.
parameters: type: dict
properties: from_city: type: string
description: The city to depart from.
to_city: type: string
description: The city to arrive at.
date: type: string
description: The date to fly. Default is today if not specified.
required: from_city
to_city
name: timezones.get_difference
description: Find the time difference between two cities.
parameters: type: dict
properties: city1: type: string
description: The first city.
city2: type: string
description: The second city.
required: city1
city2
name: geodistance.find
description: Find the distance between two cities on the globe.
parameters: type: dict
properties: origin: type: string
description: The originating city for the distance calculation.
destination: type: string
description: The destination city for the distance calculation.
unit: type: string
description: The unit of measure for the distance calculation.
required: origin
destination
user: "Could you please help me find the price of the artwork named 'Starry Night' by the artist 'Vincent Van Gogh' on the 'Sotheby' auction platform, and then fetch the price of another artwork called 'The Scream' by 'Edvard Munch' on the 'Christie' platform? After that, I would like to search for a book titled 'To Kill a Mockingbird' by the author 'Harper Lee' in the 'New York Public Library', and then look for another book named '1984' by 'George Orwell' in the 'British Library'."

Available functions:
name: library.search_book
description: Search for a specific book in the library.
parameters: type: dict
properties: title: type: string
description: The title of the book to be searched.
author: type: string
description: The author of the book to ensure the precise book is fetched.
platform: type: string
description: The library where the book should be fetched from.
required: title
author
name: art_auction.fetch_artwork_price
description: Fetch the price of a specific artwork on the auction platform.
parameters: type: dict
properties: artwork_name: type: string
description: The name of the artwork to be searched.
artist: type: string
description: The artist's name to ensure the precise artwork is fetched.
platform: type: string
description: The platform where the artwork's price should be fetched from.
required: artwork_name
artist
user: "Could you please help me with a couple of calculations? First, I have a circle with a radius of 5.6 feet and I need to know its area. Second, I'm working on a project where I need to plot a sine wave. The range I'm interested in is from 0 to 3.14 radians. The frequency of the wave should be 2 Hz. Also, I want the amplitude of the wave to be 1.5 and the phase shift to be 0.5 radians. Could you calculate the area and plot the sine wave for me?"

Available functions:
name: plot_sine_wave
description: Plot a sine wave for a given frequency in a given range.
parameters: type: dict
properties: start_range: type: integer
description: Start of the range in radians.
end_range: type: float
description: End of the range in radians.
frequency: type: integer
description: Frequency of the sine wave in Hz.
amplitude: type: float
description: Amplitude of the sine wave. Default is 1.
phase_shift: type: float
description: Phase shift of the sine wave in radians. Default is 0.
required: start_range
end_range
frequency
name: geometry.area_circle
description: Calculate the area of a circle given the radius.
parameters: type: dict
properties: radius: type: float
description: The radius of the circle.
units: type: string
description: The units in which the radius is measured (defaults to meters).
required: radius
user: "Imagine you are a music producer and you are working on a new song. You want to generate a music scale progression in the key of 'D' with a tempo of 120 BPM, where each note lasts for 2 beats. You are considering using a 'minor' scale type for this progression. After creating this, you decide to take a break and solve a math problem. You want to find the highest common factor of the numbers 456 and 123. Can you generate the music scale progression and solve the math problem?"

Available functions:
name: music_generator.generate_scale_progression
description: Generate a music scale progression in a specific key with a given tempo and duration.
parameters: type: dict
properties: key: type: string
description: The key in which to generate the scale progression.
tempo: type: integer
description: The tempo of the scale progression in BPM.
duration: type: integer
description: The duration of each note in beats.
scale_type: type: string
description: The type of scale to generate. Defaults to 'major'.
required: key
tempo
duration
name: math.hcf
description: Calculate the highest common factor of two numbers.
parameters: type: dict
properties: number1: type: integer
description: First number.
number2: type: integer
description: Second number.
required: number1
number2