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: /usr/lib64/python3.6/unittest/ [ drwxr-xr-x ]

name : util.py
"""Various utility functions."""

from collections import namedtuple, OrderedDict
from os.path import commonprefix

__unittest = True

_MAX_LENGTH = 80
_PLACEHOLDER_LEN = 12
_MIN_BEGIN_LEN = 5
_MIN_END_LEN = 5
_MIN_COMMON_LEN = 5
_MIN_DIFF_LEN = _MAX_LENGTH - \
               (_MIN_BEGIN_LEN + _PLACEHOLDER_LEN + _MIN_COMMON_LEN +
                _PLACEHOLDER_LEN + _MIN_END_LEN)
assert _MIN_DIFF_LEN >= 0

def _shorten(s, prefixlen, suffixlen):
    skip = len(s) - prefixlen - suffixlen
    if skip > _PLACEHOLDER_LEN:
        s = '%s[%d chars]%s' % (s[:prefixlen], skip, s[len(s) - suffixlen:])
    return s

def _common_shorten_repr(*args):
    args = tuple(map(safe_repr, args))
    maxlen = max(map(len, args))
    if maxlen <= _MAX_LENGTH:
        return args

    prefix = commonprefix(args)
    prefixlen = len(prefix)

    common_len = _MAX_LENGTH - \
                 (maxlen - prefixlen + _MIN_BEGIN_LEN + _PLACEHOLDER_LEN)
    if common_len > _MIN_COMMON_LEN:
        assert _MIN_BEGIN_LEN + _PLACEHOLDER_LEN + _MIN_COMMON_LEN + \
               (maxlen - prefixlen) < _MAX_LENGTH
        prefix = _shorten(prefix, _MIN_BEGIN_LEN, common_len)
        return tuple(prefix + s[prefixlen:] for s in args)

    prefix = _shorten(prefix, _MIN_BEGIN_LEN, _MIN_COMMON_LEN)
    return tuple(prefix + _shorten(s[prefixlen:], _MIN_DIFF_LEN, _MIN_END_LEN)
                 for s in args)

def safe_repr(obj, short=False):
    try:
        result = repr(obj)
    except Exception:
        result = object.__repr__(obj)
    if not short or len(result) < _MAX_LENGTH:
        return result
    return result[:_MAX_LENGTH] + ' [truncated]...'

def strclass(cls):
    return "%s.%s" % (cls.__module__, cls.__qualname__)

def sorted_list_difference(expected, actual):
    """Finds elements in only one or the other of two, sorted input lists.

    Returns a two-element tuple of lists.    The first list contains those
    elements in the "expected" list but not in the "actual" list, and the
    second contains those elements in the "actual" list but not in the
    "expected" list.    Duplicate elements in either input list are ignored.
    """
    i = j = 0
    missing = []
    unexpected = []
    while True:
        try:
            e = expected[i]
            a = actual[j]
            if e < a:
                missing.append(e)
                i += 1
                while expected[i] == e:
                    i += 1
            elif e > a:
                unexpected.append(a)
                j += 1
                while actual[j] == a:
                    j += 1
            else:
                i += 1
                try:
                    while expected[i] == e:
                        i += 1
                finally:
                    j += 1
                    while actual[j] == a:
                        j += 1
        except IndexError:
            missing.extend(expected[i:])
            unexpected.extend(actual[j:])
            break
    return missing, unexpected


def unorderable_list_difference(expected, actual):
    """Same behavior as sorted_list_difference but
    for lists of unorderable items (like dicts).

    As it does a linear search per item (remove) it
    has O(n*n) performance."""
    missing = []
    while expected:
        item = expected.pop()
        try:
            actual.remove(item)
        except ValueError:
            missing.append(item)

    # anything left in actual is unexpected
    return missing, actual

def three_way_cmp(x, y):
    """Return -1 if x < y, 0 if x == y and 1 if x > y"""
    return (x > y) - (x < y)

_Mismatch = namedtuple('Mismatch', 'actual expected value')

def _count_diff_all_purpose(actual, expected):
    'Returns list of (cnt_act, cnt_exp, elem) triples where the counts differ'
    # elements need not be hashable
    s, t = list(actual), list(expected)
    m, n = len(s), len(t)
    NULL = object()
    result = []
    for i, elem in enumerate(s):
        if elem is NULL:
            continue
        cnt_s = cnt_t = 0
        for j in range(i, m):
            if s[j] == elem:
                cnt_s += 1
                s[j] = NULL
        for j, other_elem in enumerate(t):
            if other_elem == elem:
                cnt_t += 1
                t[j] = NULL
        if cnt_s != cnt_t:
            diff = _Mismatch(cnt_s, cnt_t, elem)
            result.append(diff)

    for i, elem in enumerate(t):
        if elem is NULL:
            continue
        cnt_t = 0
        for j in range(i, n):
            if t[j] == elem:
                cnt_t += 1
                t[j] = NULL
        diff = _Mismatch(0, cnt_t, elem)
        result.append(diff)
    return result

def _ordered_count(iterable):
    'Return dict of element counts, in the order they were first seen'
    c = OrderedDict()
    for elem in iterable:
        c[elem] = c.get(elem, 0) + 1
    return c

def _count_diff_hashable(actual, expected):
    'Returns list of (cnt_act, cnt_exp, elem) triples where the counts differ'
    # elements must be hashable
    s, t = _ordered_count(actual), _ordered_count(expected)
    result = []
    for elem, cnt_s in s.items():
        cnt_t = t.get(elem, 0)
        if cnt_s != cnt_t:
            diff = _Mismatch(cnt_s, cnt_t, elem)
            result.append(diff)
    for elem, cnt_t in t.items():
        if elem not in s:
            diff = _Mismatch(0, cnt_t, elem)
            result.append(diff)
    return result

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Web Design for Beginners | Anyleson - Learning Platform
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Web Design for Beginners

Web Design for Beginners

in Design
Created by Linda Anderson
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5 Users are following this upcoming course
Course Published
This course was published already and you can check the main course
Course
Web Design for Beginners
in Design
4.25
1:45 Hours
8 Jul 2021
₹11.80

What you will learn?

Create any website layout you can imagine

Support any device size with Responsive (mobile-friendly) Design

Add tasteful animations and effects with CSS3

Course description

You can launch a new career in web development today by learning HTML & CSS. You don't need a computer science degree or expensive software. All you need is a computer, a bit of time, a lot of determination, and a teacher you trust. I've taught HTML and CSS to countless coworkers and held training sessions for fortune 100 companies. I am that teacher you can trust. 


Don't limit yourself by creating websites with some cheesy “site-builder" tool. This course teaches you how to take 100% control over your webpages by using the same concepts that every professional website is created with.


This course does not assume any prior experience. We start at square one and learn together bit by bit. By the end of the course you will have created (by hand) a website that looks great on phones, tablets, laptops, and desktops alike.


In the summer of 2020 the course has received a new section where we push our website live up onto the web using the free GitHub Pages service; this means you'll be able to share a link to what you've created with your friends, family, colleagues and the world!

Requirements

No prerequisite knowledge required

No special software required

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