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"""Modules.

@see: https://docs.python.org/3/tutorial/modules.html

As your program gets longer, you may want to split it into several files for easier maintenance.

You may also want to use a handy function that you’ve written in several programs without copying

its definition into each program.

To support this, Python has a way to put definitions in a file and use them in a script or in an

interactive instance of the interpreter. Such a file is called a module; definitions from a module

can be imported into other modules or into the main module (the collection of variables that you

have access to in a script executed at the top level and in calculator mode).

A module is a file containing Python definitions and statements. The file name is the module name

with the suffix .py appended. Within a module, the module’s name (as a string) is available as the

value of the global variable __name__.

"""

# This does not enter the names of the functions defined in fibonacci_module directly in the

# current symbol table; it only enters the module name fibonacci_module there.

import fibonacci_module

# There is a variant of the import statement that imports names from a module directly into the

# importing module’s symbol table. For example:

# pylint: disable=reimported

from fibonacci_module import fibonacci_at_position, fibonacci_smaller_than

# There is even a variant to import all names that a module defines. This imports all names except

# those beginning with an underscore (_). In most cases Python programmers do not use this facility

# since it introduces an unknown set of names into the interpreter, possibly hiding some things you

# have already defined.

# >>> from fibonacci_module import *

# If the module name is followed by as, then the name following as is bound directly to the

# imported module:

import fibonacci_module as fibonacci_module_renamed

# It can also be used when utilising from with similar effects:

from fibonacci_module import fibonacci_at_position as fibonacci_at_position_renamed

# When a module named spam is imported, the interpreter first searches for a built-in module with

# that name. If not found, it then searches for a file named spam.py in a list of directories

# given by the variable sys.path. sys.path is initialized from these locations:

#

# - The directory containing the input script (or the current directory when no file is specified).

# - PYTHONPATH (a list of directory names, with the same syntax as the shell variable PATH).

# - The installation-dependent default.

def test_modules():

"""Modules"""

assert fibonacci_module.fibonacci_at_position(7) == 13

assert fibonacci_at_position(7) == 13

assert fibonacci_module_renamed.fibonacci_at_position(7) == 13

assert fibonacci_at_position_renamed(7) == 13

assert fibonacci_module.fibonacci_smaller_than(100) == [0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89]

assert fibonacci_smaller_than(100) == [0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89]

assert fibonacci_module_renamed.fibonacci_smaller_than(10) == [0, 1, 1, 2, 3, 5, 8]

# If you intend to use a function often you can assign it to a local name.

fibonacci = fibonacci_module.fibonacci_smaller_than

assert fibonacci(100) == [0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89]

# The built-in function dir() is used to find out which names a module defines. It returns a

# sorted list of strings.

assert dir(fibonacci_module) == [

'__builtins__',

'__cached__',

'__doc__',

'__file__',

'__loader__',

'__name__',

'__package__',

'__spec__',

'fibonacci_at_position',

'fibonacci_smaller_than',

]