import pytest import pickle import keyword ''' Write the fixture function unpick which reads the pickle file "file.pickle" and return the list of words Mark the function as fixture Open the file "file.pickle" with "rb" and load the data using pickle.load function ''' @pytest.fixture(autouse=True) def unpick(): with open('file.pickle', 'rb') as s: x = pickle.load(s) return x ''' Write the test method test1 to check whether the count of words is equal to 6720 ''' def test1(unpick): y = unpick count = len(y) assert count == 6720 ''' Write the test method test_len_endswith to check whether the count of words ending with 'ing' is greater than 350 ''' def test_len_endswith(unpick): count = 0 y = unpick for i in y: if i[-3:] == 'ing': count += 1 assert count > 350 ''' Write the test method test_len_lessthan to check whether the count of words having characters less than 3 is equalto 80 ''' def test_len_lessthan(unpick): count = 0 y = unpick for i in y: if len(i) < 3: count += 1 assert count == 80 ''' Write the test method test_keyword to check whether the count of keywords present in the list are not equal to zero Hint Use keyword keyword function of library keyword. ''' def test_keyword(unpick): count = 0 y = unpick for i in y: if keyword.iskeyword(i): count += 1 assert count != 0 ''' Write the test method test_word to check whether the word "jupyter" is present in the list ''' def test_word(unpick): count = 0 y = unpick for i in y: if i == "jupyter": count += 1 break assert count > 0 ''' Write the test method test_len_startswith to check whether the count of words that starts with character 'c' is equal to 700 ''' def test_len_startswith(unpick): count = 0 y = unpick for i in y: if i[0] == 'c': count += 1 assert count == 700 ''' Write the test method test_words_ag to check the count of words that starts with 'a' and endwith 'g' is a two digit number and the second digit is zero ''' def test_words_ag(unpick): count = 0 iscountseconddigit = False y = unpick for i in y: if i[0] == 'a' and i[-1] == 'g': count += 1 if len(count) < 3 and count[1] == 0: iscountseconddigit = True break assert iscountseconddigit ''' Write the test method char_words to check the whether count of words having alphabets only is greater than 6400 ''' def char_words(unpick): count = 0 y = unpick for i in y: if i.isAlpha(): count += 1 assert count > 6400 ''' Write the parameterized test method test_words_starts_with to run against a set of multiple inputs Mark the function as parameterize Write the function to check the count of words starting with the input character is equal to the output [('a',570),('e',327),('h',1296),('t',321)] is the set of inputs and outputs ''' @pytest.mark.parametrize('test_input,expected', [('a', 570), ('e', 327), ('h', 1296), ('t', 321)]) def test_words_starts_with(unpick, test_input, expected): count = 0 y = unpick for i in y: if i[0] == test_input: count += 1 assert count == expected
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.
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)
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.
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
Indentation is very important in Python, make sure the indentation is followed correctly
For loop is used to iterate over arrays(list, tuple, set, dictionary) or strings.
mylist=("Iphone","Pixel","Samsung")
for i in mylist:
print(i)
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
There are four types of collections in Python.
List is a collection which is ordered and can be changed. Lists are specified in square brackets.
mylist=["iPhone","Pixel","Samsung"]
print(mylist)
Tuple is a collection which is ordered and can not be changed. Tuples are specified in round brackets.
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)
Set is a collection which is unordered and unindexed. Sets are specified in curly brackets.
myset = {"iPhone","Pixel","Samsung"}
print(myset)
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.
mydict = {
"brand" :"iPhone",
"model": "iPhone 11"
}
print(mydict)
Following are the libraries supported by OneCompiler's Python compiler
Name | Description |
---|---|
NumPy | NumPy python library helps users to work on arrays with ease |
SciPy | SciPy is a scientific computation library which depends on NumPy for convenient and fast N-dimensional array manipulation |
SKLearn/Scikit-learn | Scikit-learn or Scikit-learn is the most useful library for machine learning in Python |
Pandas | Pandas is the most efficient Python library for data manipulation and analysis |
DOcplex | DOcplex is IBM Decision Optimization CPLEX Modeling for Python, is a library composed of Mathematical Programming Modeling and Constraint Programming Modeling |