BitAgent/bfcl_shuffle_full huggingface dataset:
user: A car is participating in a drag race. In the first round, the car starts from rest and accelerates at a rate of 5 meters/second^2 for 10 seconds. In the second round, the car starts with an initial velocity of 10 meters/second and accelerates at a rate of 7 meters/second^2 for 8 seconds. In the third round, the car starts with an initial velocity of 20 meters/second and accelerates at a rate of 4 meters/second^2 for 12 seconds. What are the final velocities of the car in each round?

Available functions:
name: final_velocity
description: Calculate the final velocity of an object given its initial velocity, acceleration, and time.
parameters: type: dict
properties: initial_velocity: type: integer
description: The initial velocity of the object in meters/second.
acceleration: type: integer
description: The acceleration of the object in meters/second^2.
time: type: integer
description: The time over which the acceleration is applied in seconds.
required: initial_velocity
acceleration
time
user: "A car starts from rest and accelerates uniformly over a time of 5.2 seconds for a distance of 110 m. Determine the acceleration of the car. Then, another car with an initial velocity of 15 m/s accelerates at a rate of 3.5 m/s^2 for a time of 7 seconds. What is the displacement of the second car? Now, consider a third car that starts with an initial velocity of 20 m/s and accelerates at a rate of 2 m/s^2 for a time of 10 seconds. What is the displacement of the third car? Finally, a fourth car with an initial velocity of 25 m/s travels for a time of 8 seconds without any acceleration. What is the displacement of the fourth car?"

Available functions:
name: calculate_displacement
description: Calculates the displacement of an object in motion given initial velocity, time, and acceleration.
parameters: type: dict
properties: initial_velocity: type: integer
description: The initial velocity of the object in m/s.
time: type: integer
description: The time in seconds that the object has been in motion.
acceleration: type: float
description: The acceleration of the object in m/s^2.
default: 0
required: initial_velocity
time
user: A physics experiment is being conducted where two objects are dropped from a height, neglecting air resistance. The first object is dropped with an initial speed of 0 m/s and the second object is dropped with an initial speed of 5 m/s. If the first object is in free fall for 10 seconds and the second object is in free fall for 7 seconds, can you calculate the final speed of both objects considering the acceleration due to gravity as -9.81 m/s^2?

Available functions:
name: calculate_final_speed
description: Calculate the final speed of an object in free fall after a certain time, neglecting air resistance. The acceleration due to gravity is considered as -9.81 m/s^2
parameters: type: dict
properties: initial_speed: type: integer
description: The initial speed of the object in m/s. Default is 0 for an object at rest.
time: type: integer
description: The time in seconds for which the object is in free fall.
gravity: type: float
description: The acceleration due to gravity. Default is -9.81 m/s^2.
required: time
user: "Imagine you are conducting an experiment with two different objects. The first object is accelerated at a rate of 5 m/s^2 and travels a distance of 100 meters. The second object is accelerated at a rate of 10 m/s^2 and travels a distance of 200 meters. Both objects start from rest. Can you calculate the final velocity of each object using the kinematics.final_velocity_from_distance function?"

Available functions:
name: kinematics.final_velocity_from_distance
description: Calculate the final velocity of an object given the acceleration and distance travelled, assuming initial velocity is 0.
parameters: type: dict
properties: acceleration: type: integer
description: Acceleration of the object, m/s^2.
distance: type: integer
description: Distance traveled by the object, m.
initial_velocity: type: integer
description: Initial velocity of the object. Default is 0, m/s
required: acceleration
distance
user: "Imagine you are observing two racing cars on a straight track. The first car, Car A, starts from rest and accelerates at a rate of 6 m/s² for 10 seconds. The second car, Car B, starts with an initial velocity of 20 m/s and accelerates at a rate of 4 m/s² for 15 seconds. Using the function 'calculate_final_velocity', can you determine the final velocities of both Car A and Car B?"

Available functions:
name: calculate_final_velocity
description: Calculate the final velocity of an object under constant acceleration, knowing its initial velocity, acceleration, and time of acceleration.
parameters: type: dict
properties: initial_velocity: type: integer
description: The initial velocity of the object.
acceleration: type: integer
description: The acceleration of the object.
time: type: integer
description: The time of acceleration.
required: initial_velocity
acceleration
time
user: "An experiment was conducted where two objects were dropped from different heights without air resistance. The first object had an initial velocity of 0 m/s and was dropped from a height of 10 meters. The second object had an initial velocity of 5 m/s and was dropped from a height of 20 meters. Assuming the gravitational acceleration to be 9.8 m/s^2, can you calculate the final speed of both objects?"

Available functions:
name: calculate_final_speed
description: Calculate the final speed of an object dropped from a certain height without air resistance.
parameters: type: dict
properties: initial_velocity: type: integer
description: The initial velocity of the object.
height: type: integer
description: The height from which the object is dropped.
gravity: type: float
description: The gravitational acceleration. Default is 9.8 m/s^2.
required: initial_velocity
height
user: Can you provide me with the fastest route from my home in San Francisco to my office in Palo Alto and then a scenic route from Palo Alto to the Golden Gate Bridge in San Francisco, and finally the fastest route back to my home from the Golden Gate Bridge?

Available functions:
name: get_directions
description: Retrieve directions from one location to another.
parameters: type: dict
properties: start_location: type: string
description: The starting point of the journey.
end_location: type: string
description: The destination point of the journey.
route_type: type: string
description: Type of route to use (e.g., fastest, scenic). Default is fastest.
enum: fastest
scenic
required: start_location
end_location
user: Can you generate a travel itinerary for a 7-day trip to Tokyo with a daily budget of $200 focusing on urban exploration, then do the same for a 10-day trip to Paris with a daily budget of $150 focusing on history, followed by a 5-day trip to Sydney with a daily budget of $100 focusing on nature, and finally a 12-day trip to Rome with a daily budget of $180 focusing on culture?

Available functions:
name: travel_itinerary_generator
description: Generate a travel itinerary based on specific destination, duration and daily budget, with preferred exploration type.
parameters: type: dict
properties: destination: type: string
description: Destination city of the trip.
days: type: integer
description: Number of days for the trip.
daily_budget: type: integer
description: The maximum daily budget for the trip.
exploration_type: type: string
enum: nature
urban
history
culture
description: The preferred exploration type.
default: urban
required: destination
days
daily_budget
user: Can you help me find vegan restaurants in Los Angeles, CA that are open until at least 22:00, and then do the same for San Francisco, CA and Seattle, WA?

Available functions:
name: vegan_restaurant.find_nearby
description: Locate nearby vegan restaurants based on specific criteria like operating hours.
parameters: type: dict
properties: location: type: string
description: The city and state, e.g. New York, NY
operating_hours: type: integer
description: Preferred latest closing time of the restaurant. E.g. if 11 is given, then restaurants that close at or after 11 PM will be considered. This is in 24 hour format.
default: 21
required: location
user: What is the shortest driving distance in miles from New York City to Los Angeles and then from Los Angeles to Miami, considering that you have to return to New York City from Miami?

Available functions:
name: get_shortest_driving_distance
description: Calculate the shortest driving distance between two locations.
parameters: type: dict
properties: origin: type: string
description: Starting point of the journey.
destination: type: string
description: End point of the journey.
unit: type: string
description: Preferred unit of distance (optional, default is kilometers).
required: origin
destination
user: What would be the estimated travel time if I start my journey from New York, make stops at Philadelphia, Washington D.C., and Atlanta, and finally reach Miami? Also, what if I skip the stop at Atlanta and directly go to Miami from Washington D.C.? And lastly, what if I start from Philadelphia instead of New York, stop at Washington D.C., and then reach Miami?

Available functions:
name: route.estimate_time
description: Estimate the travel time for a specific route with optional stops.
parameters: type: dict
properties: start_location: type: string
description: The starting point for the journey.
end_location: type: string
description: The destination for the journey.
stops: type: array
items: type: string
description: Additional cities or points of interest to stop at during the journey ordered.
default: NYC
required: start_location
end_location
user: "In a physics experiment, you are given two charges. The first charge is 5 coulombs and is placed at a distance of 2 meters from the point where the electric field is being measured. The second charge is 3 coulombs and is placed at a distance of 4 meters from the same point. The experiment is conducted in a vacuum. Can you calculate the electric field produced by each charge at the point of measurement by invoking the 'calculate_electric_field' function?"

Available functions:
name: calculate_electric_field
description: Calculate the electric field produced by a charge at a certain distance.
parameters: type: dict
properties: charge: type: integer
description: Charge in coulombs producing the electric field.
distance: type: integer
description: Distance from the charge in meters where the field is being measured.
permitivity: type: integer
description: Permitivity of the space where field is being calculated, default is for vacuum.
required: charge
distance
user: "A team of scientists is conducting an experiment involving a circular loop carrying an electric current. They have two different setups for this experiment. In the first setup, the loop has a radius of 0.5 meters and is carrying a current of 10 Amperes. In the second setup, the loop has a radius of 1 meter and is carrying a current of 15 Amperes. They want to compare the magnetic fields produced at the center of the loop in both setups. They assume the magnetic permeability to be the same as in free space in both cases. Can you calculate the magnetic fields for both setups using the 'calculate_magnetic_field' function and tell them which setup produces a stronger magnetic field?"

Available functions:
name: calculate_magnetic_field
description: Calculate the magnetic field produced at the center of a circular loop carrying current.
parameters: type: dict
properties: current: type: integer
description: The current through the circular loop in Amperes.
radius: type: float
description: The radius of the circular loop in meters.
permeability: type: integer
description: The magnetic permeability. Default is permeability in free space.
required: current
radius
user: "In a physics experiment, you are given two charges. The first charge has a magnitude of 5 coulombs and the second charge has a magnitude of 10 coulombs. These charges are placed at a distance of 2 meters from each other. You are asked to calculate the electromagnetic force between these charges. You perform the experiment twice. The first time, the charges are placed in a vacuum, which has a permittivity of 8.854 x 10^-12 F/m. The second time, the charges are placed in a medium with a relative permittivity of 5 x 10^-12 F/m. Can you calculate the electromagnetic force between the charges in both scenarios?"

Available functions:
name: electromagnetic_force
description: Calculate the electromagnetic force between two charges placed at a certain distance.
parameters: type: dict
properties: charge1: type: integer
description: The magnitude of the first charge in coulombs.
charge2: type: integer
description: The magnitude of the second charge in coulombs.
distance: type: integer
description: The distance between the two charges in meters.
medium_permittivity: type: float
description: The relative permittivity of the medium in which the charges are present. Default is 8.854 x 10^-12 F/m (vacuum permittivity).
required: charge1
charge2
distance
user: "Can you calculate the resonant frequency of an LC circuit with an inductance of 0.005 henries and a capacitance of 0.0000001 farads, and then round off the result to 3 decimal places? After that, can you calculate it again with an inductance of 0.007 henries and a capacitance of 0.0000002 farads, rounding off the result to 4 decimal places?"

Available functions:
name: calculate_resonant_frequency
description: Calculate the resonant frequency of an LC (inductor-capacitor) circuit.
parameters: type: dict
properties: inductance: type: float
description: The inductance (L) in henries (H).
capacitance: type: float
description: The capacitance (C) in farads (F).
round_off: type: integer
description: Rounding off the result to a certain decimal places, default is 2.
required: inductance
capacitance
user: "Can you calculate the electric field strength at a distance of 0.5 meters from a point charge of 2 Coulombs located in a vacuum? Then, can you also calculate the electric field strength at a distance of 1 meter and 2 meters from the same point charge? Lastly, can you calculate the electric field strength at a distance of 1 meter from the same point charge but this time located in air?"

Available functions:
name: calculate_electric_field_strength
description: Calculate the electric field strength at a certain distance from a point charge.
parameters: type: dict
properties: charge: type: integer
description: The charge in Coulombs.
distance: type: float
description: The distance from the charge in meters.
medium: type: string
description: The medium in which the charge and the point of calculation is located. Default is 'vacuum'.
required: charge
distance
user: "Can you help me calculate the energy required for a phase change? I have a science experiment where I am first melting 500 grams of ice at 0 degrees Celsius, then I am freezing it back. After that, I am vaporizing the same mass of water at 100 degrees Celsius and then condensing it back to liquid state. The substance I am using for this experiment is water. Can you tell me how much energy is required or released during each of these phase changes?"

Available functions:
name: thermo.calculate_energy
description: Calculate the energy required or released during a phase change using mass, the phase transition temperature and the specific latent heat.
parameters: type: dict
properties: mass: type: integer
description: Mass of the substance in grams.
phase_transition: type: string
description: Phase transition. Can be 'melting', 'freezing', 'vaporization', 'condensation'.
substance: type: string
description: The substance which is undergoing phase change, default is 'water'
required: mass
phase_transition
user: What are the boiling and melting points of water and iron at sea levels of 0 meters and 1000 meters respectively?

Available functions:
name: get_boiling_melting_points
description: Retrieve the boiling point and melting point of a substance based on its name and the sea level.
parameters: type: dict
properties: substance: type: string
description: The name of the substance.
sea_level: type: integer
description: The sea level in meters.
required: substance
sea_level
user: A scientist is conducting an experiment involving two different substances. The first substance has a mass of 10 kilograms and occupies a volume of 2 cubic meters. The second substance has a mass of 15 kilograms and occupies a volume of 3 cubic meters. The scientist wants to compare the densities of these two substances in kg/m³. Can you help the scientist calculate the densities of these two substances using the 'calculate_density' function?

Available functions:
name: calculate_density
description: Calculate the density of a substance based on its mass and volume.
parameters: type: dict
properties: mass: type: integer
description: The mass of the substance in kilograms.
volume: type: integer
description: The volume of the substance in cubic meters.
unit: type: string
description: The unit of density. Default is kg/m³
required: mass
volume
user: You are working in a lab and you have a sealed container with a gauge pressure of 2.5 atm. You are located at sea level where the atmospheric pressure is 1 atm. However, you need to transport the container to a high-altitude location where the atmospheric pressure is 0.85 atm. What will be the absolute pressure of the container at sea level and at the high-altitude location?

Available functions:
name: calc_absolute_pressure
description: Calculates the absolute pressure from gauge and atmospheric pressures.
parameters: type: dict
properties: atm_pressure: type: float
description: The atmospheric pressure in atmospheres (atm). Default is 1 atm if not provided.
gauge_pressure: type: float
description: The gauge pressure in atmospheres (atm). Must be provided.
required: gauge_pressure
user: A chemist is conducting an experiment with a 2 kg sample of a specific substance A. The experiment begins with the substance at an initial temperature of 25 degrees Celsius. The chemist then heats the substance to a final temperature of 75 degrees Celsius. The experiment is conducted under a pressure of 1 atmosphere. The chemist repeats the experiment with the same substance, but this time the initial temperature is 10 degrees Celsius and the final temperature is 50 degrees Celsius. Can you calculate the change in entropy for the substance under these set initial and final conditions for both experiments?

Available functions:
name: entropy_change.calculate
description: Calculate the change in entropy for a mass of a specific substance under set initial and final conditions.
parameters: type: dict
properties: substance: type: string
description: The substance for which the change in entropy is calculated.
mass: type: integer
description: The mass of the substance in kg.
initial_temperature: type: integer
description: The initial temperature of the substance in degree Celsius.
final_temperature: type: integer
description: The final temperature of the substance in degree Celsius.
pressure: type: integer
default: 1
description: The pressure the substance is under in atmospheres.
required: substance
mass
initial_temperature
final_temperature
user: "In a thermodynamics experiment, you are tasked with calculating the entropy change for a process. The process starts at an initial temperature of 300 Kelvin and ends at a final temperature of 350 Kelvin. The heat capacity of the system is 4.18 J/K. The process is isothermal. Can you calculate the entropy change for this process? What if the process is not isothermal, how does the entropy change?"

Available functions:
name: calculate_entropy_change
description: Calculate the entropy change for an isothermal and reversible process.
parameters: type: dict
properties: initial_temp: type: integer
description: The initial temperature in Kelvin.
final_temp: type: integer
description: The final temperature in Kelvin.
heat_capacity: type: float
description: The heat capacity in J/K.
isothermal: type: boolean
description: Whether the process is isothermal. Default is True.
required: initial_temp
final_temp
heat_capacity
user: "Can you calculate the heat capacity at constant pressure of air for a science experiment I am conducting? I have a container with a volume of 2.5 m^3 and I am able to maintain the temperature at 300 Kelvin. I will be repeating the experiment at a higher temperature of 350 Kelvin and then at a lower volume of 1.5 m^3. I am using air for all these experiments. Can you provide the heat capacity for these three different conditions?"

Available functions:
name: calc_heat_capacity
description: Calculate the heat capacity at constant pressure of air using its temperature and volume.
parameters: type: dict
properties: temp: type: integer
description: The temperature of the gas in Kelvin.
volume: type: float
description: The volume of the gas in m^3.
gas: type: string
description: Type of gas, with air as default.
required: temp
volume
user: Can you fetch the DNA sequence of a molecule with the unique ID 'XYZ123' from the public database, then fetch the same sequence again but this time in 'genbank' format, and finally fetch the sequence once more but now with 500 base pairs included upstream the DNA sequence?

Available functions:
name: fetch_DNA_sequence
description: Retrieve the sequence of a DNA molecule with the given id from a public database.
parameters: type: dict
properties: DNA_id: type: string
description: Unique ID of the DNA molecule in the database.
format: type: string
description: Optional parameter to get sequence in specific format (default to 'fasta').
upstream: type: integer
description: Optional parameter to include certain number of base pairs upstream the DNA sequence (default to 0).
required: DNA_id
user: What are the protein sequences encoded by the BRCA1 and BRCA2 genes in Homo sapiens and Pan troglodytes (chimpanzee)?

Available functions:
name: get_protein_sequence
description: Retrieve the protein sequence encoded by a human gene.
parameters: type: dict
properties: gene: type: string
description: The human gene of interest.
species: type: string
description: The species for which the gene is to be analyzed.
default: Homo sapiens
required: gene
user: Can you provide a detailed description of the structure and functioning of a neuron cell and then compare it with a less detailed description of a muscle cell in the human body?

Available functions:
name: biology.get_cell_info
description: Retrieve information about the structure and functioning of a specified type of cell
parameters: type: dict
properties: cell_type: type: string
description: Type of cell you want information about
detailed: type: boolean
description: Indicate if you want a detailed description of the cell
default: false
required: cell_type
user: What are the proteins found in the cell compartments of the nucleus, mitochondria, and cytoplasm, and can you also provide a brief description of each protein?

Available functions:
name: cellbio.get_proteins
description: Get the list of proteins in a specific cell compartment.
parameters: type: dict
properties: cell_compartment: type: string
description: The specific cell compartment.
include_description: type: boolean
description: Set true if you want a brief description of each protein.
default: false
required: cell_compartment
user: "What is the function of the molecule ATP in the mitochondria and does it have a specific function within this organelle? Also, can you tell me the function of the molecule DNA in the nucleus and whether it has a specific function within the nucleus?"

Available functions:
name: cell_biology.function_lookup
description: Look up the function of a given molecule in a specified organelle.
parameters: type: dict
properties: molecule: type: string
description: The molecule of interest.
organelle: type: string
description: The organelle of interest.
specific_function: type: boolean
description: If set to true, a specific function of the molecule within the organelle will be provided, if such information exists.
required: molecule
organelle
specific_function
user: What is the molecular weight of the compound C6H12O6 (Glucose) in 'grams/mole' and how does it compare to the molecular weight of the compound C12H22O11 (Sucrose) in the same unit?

Available functions:
name: calculate_molecular_weight
description: Calculate the molecular weight of a compound given the compound formula.
parameters: type: dict
properties: compound: type: string
description: The molecular formula of the compound.
to_unit: type: string
description: The unit in which to return the result. Default is 'grams/mole'
required: compound
to_unit
user: What is the type of the genetic mutation that has the SNP ID 'rs123456' in the species 'Homo sapiens' and the SNP ID 'rs7891011' in the species 'Canis lupus familiaris' (Dog)?

Available functions:
name: mutation_type.find
description: Finds the type of a genetic mutation based on its SNP (Single Nucleotide Polymorphism) ID.
parameters: type: dict
properties: snp_id: type: string
description: The ID of the Single Nucleotide Polymorphism (SNP) mutation.
species: type: string
description: Species in which the SNP occurs, default is 'Homo sapiens' (Humans).
required: snp_id
user: "Could you please predict the likelihood of type 2 diabetes for four individuals with the following characteristics: The first person weighs 180 lbs, is 70 inches tall, and has a 'lightly active' lifestyle. The second person weighs 200 lbs, is 65 inches tall, and is 'very active'. The third person weighs 150 lbs, is 72 inches tall, and is 'moderately active'. The fourth person weighs 220 lbs, is 68 inches tall, and is 'extra active'."

Available functions:
name: diabetes_prediction
description: Predict the likelihood of diabetes type 2 based on a person's weight and height.
parameters: type: dict
properties: weight: type: integer
description: Weight of the person in lbs.
height: type: integer
description: Height of the person in inches.
activity_level: type: string
enum: sedentary
lightly active
moderately active
very active
extra active
description: Physical activity level of the person.
required: weight
height
activity_level
user: Can you analyze the DNA sequence "AGCTTAGCTA" and "AGCTTAGGCTA" using the reference sequence "AGCTTAGCTA" to identify any potential 'insertion' mutations, then repeat the same analysis for 'deletion' and 'substitution' mutations?

Available functions:
name: analyze_dna_sequence
description: Analyzes the DNA sequence based on a reference sequence and return any potential mutations.
parameters: type: dict
properties: sequence: type: string
description: The DNA sequence to be analyzed.
reference_sequence: type: string
description: The reference DNA sequence.
mutation_type: type: string
enum: insertion
deletion
substitution
description: Type of the mutation to be looked for in the sequence.
default: insertion
required: sequence
reference_sequence
user: "Could you calculate the genetic similarity between a human and a chimpanzee, and then between a human and a gorilla, using their DNA sequences? Please provide the results in both percentage and fraction formats."

Available functions:
name: genetics.calculate_similarity
description: Calculates the genetic similarity between two species based on their DNA sequences.
parameters: type: dict
properties: species1: type: string
description: The first species to compare.
species2: type: string
description: The second species to compare.
format: type: string
description: The format of the result (percentage or fraction). Default is percentage.
required: species1
species2
user: "In a population of butterflies, the frequency of the dominant allele for wing color is 0.7. Can you calculate the frequency of the homozygous dominant genotype (AA), heterozygous genotype (Aa), and homozygous recessive genotype (aa) using the Hardy Weinberg Principle?"

Available functions:
name: calculate_genotype_frequency
description: Calculate the frequency of homozygous dominant genotype based on the allele frequency using Hardy Weinberg Principle.
parameters: type: dict
properties: allele_frequency: type: float
description: The frequency of the dominant allele in the population.
genotype: type: string
description: The genotype which frequency is needed, default is homozygous dominant. 
enum: AA
Aa
aa
required: allele_frequency
genotype
user: What is the population density of China in 2000 and 2010, given that the population was 1.267 billion in 2000 and 1.341 billion in 2010, and the land area remained constant at 9.597 million square kilometers?

Available functions:
name: calculate_density
description: Calculate the population density of a specific country in a specific year.
parameters: type: dict
properties: country: type: string
description: The country for which the density needs to be calculated.
year: type: string
description: The year in which the density is to be calculated.
population: type: float
description: The population of the country.
land_area: type: float
description: The land area of the country in square kilometers.
required: country
year
population
land_area
user: What are the precipitation statistics for the Amazon rainforest for the last six months, the last year, and the last five years?

Available functions:
name: ecology_data.precipitation_stats
description: Retrieve precipitation data for a specified location and time period.
parameters: type: dict
properties: location: type: string
description: The name of the location, e.g., 'Amazon rainforest'.
time_frame: type: string
enum: six_months
year
five_years
description: The time period for which data is required.
required: location
time_frame
user: "Can you help me identify the bird species I saw during my recent trip? The first one was a small bird with a vibrant blue color that I spotted in a forest. The second one was a large bird with a mix of black colors that I saw near a lake. The third one was a medium-sized bird with a brown color that I noticed in a desert. Lastly, the fourth one was a large bird with a green color that I observed in a tropical rainforest. What could these birds be?"

Available functions:
name: identify_bird
description: Identify a bird species based on certain characteristics.
parameters: type: dict
properties: color: type: string
description: Color of the bird.
habitat: type: string
description: Habitat of the bird.
size: type: string
enum: small
medium
large
description: Size of the bird.
default: small
required: color
habitat
user: What would be the predicted forest growth in the Amazon Rainforest and the Boreal Forests of Canada over the next 10 years and 20 years, respectively, if we do not include the impact of human activities?

Available functions:
name: forest_growth_forecast
description: Predicts the forest growth over the next N years based on current trends.
parameters: type: dict
properties: location: type: string
description: The location where you want to predict forest growth.
years: type: integer
description: The number of years for the forecast.
include_human_impact: type: boolean
description: Whether or not to include the impact of human activities in the forecast. If not provided, defaults to false.
required: location
years
user: What is the population of turtles in the Galapagos Islands in 2015, and can you also provide the species information? After that, can you also tell me the same information for the same location but for the year 2020?

Available functions:
name: ecology.get_turtle_population
description: Get the population and species of turtles in a specific location.
parameters: type: dict
properties: location: type: string
description: The name of the location.
year: type: integer
description: The year of the data requested. (optional). default is 2000
species: type: boolean
description: Whether to include species information. Default is false. (optional)
required: location
user: What are the annual carbon emissions produced by a gasoline vehicle, a diesel vehicle, and an electric vehicle if they each drive 15,000 miles per year, using the default emission factor for the gasoline vehicle, an emission factor of 2.7 for the diesel vehicle, and an emission factor of 0 for the electric vehicle?

Available functions:
name: calculate_vehicle_emission
description: Calculate the annual carbon emissions produced by a specific type of vehicle based on mileage.
parameters: type: dict
properties: vehicle_type: type: string
description: The type of vehicle. 'gas' refers to a gasoline vehicle, 'diesel' refers to a diesel vehicle, and 'EV' refers to an electric vehicle.
miles_driven: type: integer
description: The number of miles driven per year.
emission_factor: type: float
description: Optional emission factor to calculate emissions. Default factor is set for gas vehicles of 1.4
required: vehicle_type
miles_driven
user: Can you generate four different DNA sequences each with a length of 500, where the first sequence has a preference for nucleotide 'A', the second sequence has a preference for nucleotide 'T', the third sequence has a preference for nucleotide 'C', and the fourth sequence has a preference for nucleotide 'G'?

Available functions:
name: generate_DNA_sequence
description: Generate a random DNA sequence with a specific length and nucleotide preference.
parameters: type: dict
properties: length: type: integer
description: The length of the DNA sequence to be generated.
preferences: type: array
items: type: string
enum: A
T
C
G
description: Preferred nucleotides to include more frequently in the DNA sequence.
required: length
preferences
user: What would be the projected population growth of Japan and India in the next 10 and 20 years respectively, considering the current growth rate, and how would these projections change if we consider a growth rate of 1.5% for Japan and 2.1% for India instead of the current growth rate?

Available functions:
name: population_projections
description: Calculates the projected population growth based on the current growth rate.
parameters: type: dict
properties: country: type: string
description: The country for which to calculate the population projection.
years: type: integer
description: Number of years for the projection.
growth_rate: type: float
description: Optional parameter to specify the growth rate. Default is current growth rate. of 0.01
required: country
years
user: In the African savannah, a group of researchers have been observing a herd of elephants for a few years. They have noticed that the current population of elephants is 500 and the annual population growth rate is 2%. They are interested in knowing the estimated population of elephants in 10 years. However, due to the unpredictable nature of the wild, they also want to consider a scenario where the growth rate drops to 1.5% and another scenario where it increases to 2.5%. Can you provide the estimated elephant population for these three scenarios in 10 years?

Available functions:
name: elephant_population_estimate
description: Estimate future population of elephants given current population and growth rate.
parameters: type: dict
properties: current_population: type: integer
description: The current number of elephants.
growth_rate: type: float
description: The annual population growth rate of elephants.
years: type: integer
description: The number of years to project the population.
required: current_population
growth_rate
years
user: What would be the predicted evolutionary rate for the African Elephant species over a period of 5000 years using the Darwin model, and how would this prediction change if we use the Lamarck model instead?

Available functions:
name: prediction.evolution
description: Predict the evolutionary rate for a specific species for a given timeframe.
parameters: type: dict
properties: species: type: string
description: The species that the evolution rate will be predicted for.
years: type: integer
description: Number of years for the prediction.
model: type: string
description: The model used to make the prediction, options: 'Darwin', 'Lamarck', default is 'Darwin'.
required: species
years
user: Can you help me find restaurants in New York, NY that cater to my dietary preferences which include Vegan, Gluten-free and Dairy-free options, and then do the same for Los Angeles, CA and Chicago, IL?

Available functions:
name: restaurant.find_nearby
description: Locate nearby restaurants based on specific dietary preferences.
parameters: type: dict
properties: location: type: string
description: The city and state, e.g. Los Angeles, CA
dietary_preference: type: array
items: type: string
enum: Vegan
Vegetarian
Gluten-free
Dairy-free
Nut-free
description: Dietary preference.
default: Vegan
required: location
user: What is the average temperature in New York for the past 7 days in Fahrenheit and how does it compare to the average temperature in Los Angeles for the same period in Celsius?

Available functions:
name: average_temperature
description: Retrieves the average temperature for a specific location over the defined timeframe.
parameters: type: dict
properties: location: type: string
description: The city to get the average temperature for.
days: type: integer
description: The number of days to get the average temperature for.
temp_unit: type: string
description: The temperature unit ('Celsius' or 'Fahrenheit'). Default is 'Fahrenheit'.
required: location
days
user: You are given two sets of data, the first set is [12, 15, 11, 14, 18, 19, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26] and the second set is [32, 35, 31, 34, 38, 39, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46]. Can you create two histograms using the 'create_histogram' function, one for each data set, with 5 bins each?

Available functions:
name: create_histogram
description: Create a histogram based on provided data.
parameters: type: dict
properties: data: type: array
items: type: integer
description: The data for which histogram needs to be plotted.
bins: type: integer
description: The number of equal-width bins in the range. Default is 10.
required: data
bins
user: "Can you help me find four restaurants in New York that serve Italian food and cater to my dietary requirements of being vegan and gluten-free, and then find four more restaurants in Los Angeles that serve the same type of food and also cater to my dietary requirements?"

Available functions:
name: find_restaurants
description: Locate nearby restaurants based on location and food preferences.
parameters: type: dict
properties: location: type: string
description: The specific location or area.
food_type: type: string
description: The type of food preferred.
number: type: integer
description: Number of results to return.
dietary_requirements: type: array
items: type: string
description: Special dietary requirements, e.g. vegan, gluten-free.
default: None
required: location
food_type
number
user: Can you find the fastest route from my home in San Francisco to my office in Palo Alto, then from my office to my friend's house in San Jose, and finally from my friend's house back to my home, while avoiding toll roads?

Available functions:
name: map_routing.fastest_route
description: Finds the fastest route from one location to another, with an option to avoid toll roads.
parameters: type: dict
properties: start_location: type: string
description: The starting location for the journey.
end_location: type: string
description: The destination for the journey.
avoid_tolls: type: boolean
description: Option to avoid toll roads during the journey. default is False
required: start_location
end_location
user: You have four sets of numbers: the first set is [23, 45, 67, 89], the second set is [12, 34, 56, 78], the third set is [98, 76, 54, 32], and the fourth set is [87, 65, 43, 21]. Can you calculate the average of each set of numbers?

Available functions:
name: calculate_average
description: Calculates the average of a list of numbers.
parameters: type: dict
properties: numbers: type: array
items: type: integer
description: The list of numbers to calculate the average of.
required: numbers
user: What is the total distance in kilometers if you were to travel from the Eiffel Tower in Paris (48.8584° N, 2.2945° E) to the Colosseum in Rome (41.8902° N, 12.4922° E), then to the Acropolis in Athens (37.9715° N, 23.7257° E), and finally to the Pyramids of Giza in Egypt (29.9792° N, 31.1342° E)?

Available functions:
name: calculate_distance
description: Calculate the distance between two GPS coordinates.
parameters: type: dict
properties: coord1: type: tuple
description: The first coordinate as (latitude, longitude).
items: type: float
coord2: type: tuple
description: The second coordinate as (latitude, longitude).
items: type: float
unit: type: string
description: The unit of distance. Defaults to miles if not specified.
required: coord1
coord2
unit
user: "Could you please calculate the Body Mass Index (BMI) of four individuals for me? The first person weighs 85 kilograms and is 175 centimeters tall, the second person weighs 60 kilograms and is 160 centimeters tall, the third person weighs 75 kilograms and is 180 centimeters tall, and the fourth person weighs 90 kilograms and is 185 centimeters tall. All measurements are in the metric system."

Available functions:
name: calculate_bmi
description: Calculate the Body Mass Index (BMI) of a person.
parameters: type: dict
properties: weight: type: integer
description: Weight of the person in kilograms.
height: type: integer
description: Height of the person in centimeters.
unit: type: string
description: Optional parameter to choose between 'imperial' and 'metric' systems. Default is 'metric'.
required: weight
height
user: What is the total distance in kilometers if I start my journey from New York, travel to Los Angeles, then from Los Angeles to Miami, and finally from Miami back to New York?

Available functions:
name: geo_distance.calculate
description: Calculate the geographic distance between two given locations.
parameters: type: dict
properties: start_location: type: string
description: The starting location for the distance calculation.
end_location: type: string
description: The destination location for the distance calculation.
units: type: string
description: Optional. The desired units for the resulting distance ('miles' or 'kilometers'). Defaults to 'miles'.
required: start_location
end_location
user: What is the shortest distance between New York and Los Angeles using a bus as the preferred mode of public transportation, and then what is the shortest distance if we allow transfer between different modes of transportation?

Available functions:
name: city_distance.find_shortest
description: Calculates the shortest distance between two cities via available public transportation.
parameters: type: dict
properties: start_city: type: string
description: The city you are starting from.
end_city: type: string
description: The city you are heading to.
transportation: type: string
description: Preferred mode of public transportation. Default is 'bus'.
allow_transfer: type: boolean
description: Allows transfer between different transportation if true. default is False
required: start_city
end_city
user: You have four lists of numbers: [45, 12, 67, 21, 89], [34, 78, 12, 56, 90], [23, 45, 67, 89, 12], and [56, 78, 90, 12, 34]. Can you use the 'array_sort' function to sort these lists in both ascending and descending order?

Available functions:
name: array_sort
description: Sorts a given list in ascending or descending order.
parameters: type: dict
properties: list: type: array
items: type: integer
description: The list of numbers to be sorted.
order: type: string
enum: ascending
descending
description: Order of sorting. If not specified, it will default to ascending.
required: list
order
user: "John, who weighs 85 kilograms and is 1.8 meters tall, and his friend Sarah, who weighs 60 kilograms and is 1.65 meters tall, are having a debate about their health. They decide to calculate their Body Mass Index (BMI) to settle the argument. Later, they meet their friend Mike, who weighs 75 kilograms and is 1.7 meters tall, and they decide to calculate his BMI as well. Can you help them calculate their BMIs?"

Available functions:
name: calculate_BMI
description: Calculate the Body Mass Index (BMI) given a person's weight and height.
parameters: type: dict
properties: weight_kg: type: integer
description: The weight of the person in kilograms.
height_m: type: float
description: The height of the person in meters.
required: weight_kg
height_m
user: Can you use the function 'employee.fetch_data' to fetch the 'Personal Info', 'Job History', 'Payroll', and 'Attendance' data fields for an employee with the unique ID of 12345 from the company named 'Tech Solutions'? And then, can you repeat the same process for another employee with the unique ID of 67890 from the same company?

Available functions:
name: employee.fetch_data
description: Fetches the detailed data for a specific employee in a given company.
parameters: type: dict
properties: company_name: type: string
description: The name of the company.
employee_id: type: integer
description: The unique ID of the employee.
data_field: type: array
items: type: string
enum: Personal Info
Job History
Payroll
Attendance
description: Fields of data to be fetched for the employee (Optional).
default: Personal Info
required: company_name
employee_id
user: Can you find all the Drama and Comedy movies that Leonardo DiCaprio starred in 2010 and 2012 respectively by searching the database?

Available functions:
name: imdb.find_movies_by_actor
description: Searches the database to find all movies by a specific actor within a certain year.
parameters: type: dict
properties: actor_name: type: string
description: The name of the actor.
year: type: integer
description: The specific year to search in.
category: type: string
description: The category of the film (e.g. Drama, Comedy, etc). This parameter is optional.
default: Drama
required: actor_name
year
user: Can you provide me with the list of movie releases in the IMAX format at theaters in New York over the next 7 days, and also the list of movie releases in the 2D format at theaters in Los Angeles over the next 14 days?

Available functions:
name: get_theater_movie_releases
description: Retrieve the list of movie releases in specific theaters for a specified period.
parameters: type: dict
properties: location: type: string
description: The location of the theaters.
timeframe: type: integer
description: The number of days for which releases are required from current date.
format: type: string
description: Format of movies - could be 'IMAX', '2D', '3D', '4DX' etc. This is an optional parameter.
default: IMAX
required: location
timeframe
user: Can you use the 'update_user_info' function to update the name and email of a customer with user ID 12345 in the 'CustomerInfo' database to "John" and "example@.com", then repeat the same process for another customer with user ID 67890, changing their name and email to the same value as well as well?

Available functions:
name: update_user_info
description: Update user information in the database.
parameters: type: dict
properties: user_id: type: integer
description: The user ID of the customer.
update_info: type: dict
properties: name: type: string
description: The customer's updated name.
email: type: string
description: The customer's updated email.
description: The new information to update.
database: type: string
description: The database where the user's information is stored.
default: CustomerInfo
required: user_id
update_info
user: You are planning to build three triangular gardens in your backyard. The first garden has a base of 10 meters and a height of 5 meters, the second garden has a base of 15 meters and a height of 7 meters, and the third garden has a base of 20 meters and a height of 10 meters. What is the total area of the three gardens?

Available functions:
name: calc_area_triangle
description: Calculate the area of a triangle with the formula area = 0.5 * base * height.
parameters: type: dict
properties: base: type: integer
description: The length of the base of the triangle in meters.
height: type: integer
description: The perpendicular height of the triangle from the base to the opposite vertex in meters.
required: base
height