def get_weather_violation(weather, minimums):
    """
    Returns a string representing the type of weather violation (empty string if flight is okay)
    
    The weather reading is a dictionary with the keys: 'visibility', 'wind', and 'sky'.
    These correspond to a visibility, wind, and ceiling measurement, respectively.
    
    It may have other keys as well, but these can be ignored.
    
    The minimums is a list of the four minimums ceiling, visibility, max windspeed, and max crosswind speed in that order.
    
    This function uses bad_visibility, bad_winds, and bad_ceiling as helpers.
    
    It returns 'Visibility' if the only problem is bad visibility, 'Winds' if the only problem is wind, 
    and 'Ceiling' if the only problem is the ceiling. If there are multiple problems, it returns 'Weather'.
    
    It returns 'Unknown' if no weather reading is available (e.g., weather is None).
    
    Finally, it returns '' (the empty string) if the weather is fine and there are no violations.

    Parameter weather: The weather measure
    Precondition: weather is a dictionary containing a visibility, wind, and ceiling measurement,
    or None if no weather reading is available.

    Parameter minimums: The safety minimums for ceiling, visibility, wind, and crosswind
    Precondition: minimums is a list of four floats
    """
    try:
        if weather is None:
            return 'Unknown'

        if 'visibility' in weather:
            visibility = weather['visibility']
            if 'units' in visibility:
                if visibility['units'] == 'SM':
                    current_visibility = visibility.get('prevailing', 0.0)
                elif visibility['units'] == 'FT':
                    current_visibility = visibility.get('minimum', 0.0)
            else:
                current_visibility = visibility.get('minimum', 0.0)
        else:
            current_visibility = 0.0

        if 'wind' in weather and 'speed' in weather['wind']:
            current_wind_speed = weather['wind']['speed']
        else:
            current_wind_speed = 0.0

        if 'sky' in weather and weather['sky']:
            current_height = weather['sky'][0].get('height', 0.0)
        else:
            current_height = 0.0
    except:
        return 'Unknown'

    problems = []

    if current_visibility < minimums[1]:
        problems.append('Visibility')
    if current_wind_speed > minimums[2]:
        problems.append('Winds')
    if current_height < minimums[0]:
        problems.append('Ceiling')

    if len(problems) > 1:
        return 'Weather'
    elif len(problems) == 0:
        return ''
    else:
        return problems


def bad_visibility(visibility, minimum):
    """
    Returns True if the visibility measurement violates the minimum, False otherwise
    
    Parameter minimum: The minimum allowed visibility (in statute miles)
    Precondition: minimum is a float or int
    """
    if visibility is None:
        return True

    if 'units' in visibility and visibility['units'] == 'SM':
        if 'prevailing' in visibility:
            prevailing_visibility = visibility['prevailing']
            if prevailing_visibility < minimum:
                return True
        elif 'minimum' in visibility:
            minimum_visibility = visibility['minimum']
            if minimum_visibility < minimum:
                return True

    return False


def bad_winds(winds, maxwind, maxcross):
    """
    Returns True if the wind measurement violates the maximums, False otherwise
    
    Parameter maxwind: The maximum allowable wind speed (in knots)
    Precondition: maxwind is a float or int
    
    Parameter maxcross: The maximum allowable crosswind speed (in knots)
    Precondition: maxcross is a float or int
    """
    if winds is None:
        return True

    if 'speed' in winds and 'units' in winds and winds['units'] == 'KT':
        speed = winds['speed']
        if speed > maxwind:
            return True

    if 'crosswind' in winds and 'speed' in winds and 'units' in winds and winds['units'] == 'KT':
        crosswind = winds['crosswind']
        if crosswind > maxcross:
            return True

    return False


def bad_ceiling(ceiling, minimum):
    """
    Returns True if the ceiling measurement violates the minimum, False otherwise
    
    Parameter minimum: The minimum allowed ceiling (in feet)
    Precondition: minimum is a float or int
    """
    if ceiling is None:
        return True

    if isinstance(ceiling, list):
        for c in ceiling:
            if 'type' in c and 'height' in c and c['type'] in ['broken', 'overcast', 'indefinite ceiling']:
                if c['height'] < minimum:
                    return True

    return False


def get_weather_report(takeoff, weather):
    """
    Returns the most recent weather report at or before take-off.
    
    Parameter takeoff: The takeoff time
    Precondition: takeoff is a datetime object
    
    Paramater weather: The weather report dictionary
    Precondition: weather is a dictionary formatted as described above
    """
    takeofftime = takeoff.isoformat()
    if takeofftime in weather:
        return weather[takeofftime]

    for x in weather:
        time = x
        timecheck = utils.str_to_time(time, takeoff.tzinfo)
        if timecheck < takeoff:
            return weather[x]

    return None
    
   

Python Online Compiler

Write, Run & Share Python code online using OneCompiler's Python online compiler for free. It's one of the robust, feature-rich online compilers for python language, supporting both the versions which are Python 3 and Python 2.7. Getting started with the OneCompiler's Python editor is easy and fast. The editor shows sample boilerplate code when you choose language as Python or Python2 and start coding.

Taking inputs (stdin)

OneCompiler's python online editor supports stdin and users can give inputs to programs using the STDIN textbox under the I/O tab. Following is a sample python program which takes name as input and print your name with hello.

import sys
name = sys.stdin.readline()
print("Hello "+ name)

About Python

Python is a very popular general-purpose programming language which was created by Guido van Rossum, and released in 1991. It is very popular for web development and you can build almost anything like mobile apps, web apps, tools, data analytics, machine learning etc. It is designed to be simple and easy like english language. It's is highly productive and efficient making it a very popular language.

Tutorial & Syntax help

Loops

1. If-Else:

When ever you want to perform a set of operations based on a condition IF-ELSE is used.

if conditional-expression
    #code
elif conditional-expression
    #code
else:
    #code

Note:

Indentation is very important in Python, make sure the indentation is followed correctly

2. For:

For loop is used to iterate over arrays(list, tuple, set, dictionary) or strings.

Example:

mylist=("Iphone","Pixel","Samsung")
for i in mylist:
    print(i)

3. While:

While is also used to iterate a set of statements based on a condition. Usually while is preferred when number of iterations are not known in advance.

while condition  
    #code 

Collections

There are four types of collections in Python.

1. List:

List is a collection which is ordered and can be changed. Lists are specified in square brackets.

Example:

mylist=["iPhone","Pixel","Samsung"]
print(mylist)

2. Tuple:

Tuple is a collection which is ordered and can not be changed. Tuples are specified in round brackets.

Example:

myTuple=("iPhone","Pixel","Samsung")
print(myTuple)

Below throws an error if you assign another value to tuple again.

myTuple=("iPhone","Pixel","Samsung")
print(myTuple)
myTuple[1]="onePlus"
print(myTuple)

3. Set:

Set is a collection which is unordered and unindexed. Sets are specified in curly brackets.

Example:

myset = {"iPhone","Pixel","Samsung"}
print(myset)

4. Dictionary:

Dictionary is a collection of key value pairs which is unordered, can be changed, and indexed. They are written in curly brackets with key - value pairs.

Example:

mydict = {
    "brand" :"iPhone",
    "model": "iPhone 11"
}
print(mydict)

Supported Libraries

Following are the libraries supported by OneCompiler's Python compiler

NameDescription
NumPyNumPy python library helps users to work on arrays with ease
SciPySciPy is a scientific computation library which depends on NumPy for convenient and fast N-dimensional array manipulation
SKLearn/Scikit-learnScikit-learn or Scikit-learn is the most useful library for machine learning in Python
PandasPandas is the most efficient Python library for data manipulation and analysis
DOcplexDOcplex is IBM Decision Optimization CPLEX Modeling for Python, is a library composed of Mathematical Programming Modeling and Constraint Programming Modeling