Python bisect.bisect_left() Examples

def bisect_left(self, value):
        """Return an index to insert `value` in the sorted-key list.

        If the `value` is already present, the insertion point will be before
        (to the left of) any existing values.

        Similar to the `bisect` module in the standard library.

        Runtime complexity: `O(log(n))` -- approximate.

        >>> from operator import neg
        >>> skl = SortedKeyList([5, 4, 3, 2, 1], key=neg)
        >>> skl.bisect_left(1)
        4

        :param value: insertion index of value in sorted-key list
        :return: index

        """
        return self._bisect_key_left(self._key(value)) 

def bisect_right(self, value):
        """Return an index to insert `value` in the sorted-key list.

        Similar to `bisect_left`, but if `value` is already present, the
        insertion point with be after (to the right of) any existing values.

        Similar to the `bisect` module in the standard library.

        Runtime complexity: `O(log(n))` -- approximate.

        >>> from operator import neg
        >>> skl = SortedList([5, 4, 3, 2, 1], key=neg)
        >>> skl.bisect_right(1)
        5

        :param value: insertion index of value in sorted-key list
        :return: index

        """
        return self._bisect_key_right(self._key(value)) 

def intranges_contain(int_, ranges):
    """Determine if `int_` falls into one of the ranges in `ranges`."""
    tuple_ = _encode_range(int_, 0)
    pos = bisect.bisect_left(ranges, tuple_)
    # we could be immediately ahead of a tuple (start, end)
    # with start < int_ <= end
    if pos > 0:
        left, right = _decode_range(ranges[pos-1])
        if left <= int_ < right:
            return True
    # or we could be immediately behind a tuple (int_, end)
    if pos < len(ranges):
        left, _ = _decode_range(ranges[pos])
        if left == int_:
            return True
    return False 

def find_longest_prefix(self, target, sep):
    """Identifies a known resource path which would contain the `target` path.

    sep must be the current path separator (can vary from os.path.sep when
    running under simulation).

    Returns (str(Path), Path) if the prefix path is found, or (None, None) if no
    such prefix exists.
    """
    idx = bisect.bisect_left(self.path_strings, target)
    if idx == len(self.paths):
      return (None, None) # off the end

    sPath, path = self.path_strings[idx], self.paths[idx]
    if target == sPath :
      return sPath, path

    if idx > 0:
      sPath, path = self.path_strings[idx-1], self.paths[idx-1]
      if target.startswith(sPath+sep):
        return sPath, path

    return (None, None) 

def binary_search(ls, x, sort=False):
    """二分查找算法

    >>> s = [1, 2, 3, 4, 5, 6, 10, 7]
    >>> print(binary_search(s, 7, True))

    :param ls: 列表。
    :param x: 被查找的数。
    :param sort: 是否要启动排序，False表示不启动排序，默认是不启动。
    :return: 找到返回True，反之亦然
    """
    if sort:
        ls = sorted(ls)
    v = bisect.bisect_left(ls, x)
    if v != len(ls) and ls[v] == x:
        return True
    return False 

def bisect_left(self, value):
        """Return an index to insert `value` in the sorted-key list.

        If the `value` is already present, the insertion point will be before
        (to the left of) any existing values.

        Similar to the `bisect` module in the standard library.

        Runtime complexity: `O(log(n))` -- approximate.

        >>> from operator import neg
        >>> skl = SortedKeyList([5, 4, 3, 2, 1], key=neg)
        >>> skl.bisect_left(1)
        4

        :param value: insertion index of value in sorted-key list
        :return: index

        """
        return self._bisect_key_left(self._key(value)) 

def intranges_contain(int_, ranges):
    """Determine if `int_` falls into one of the ranges in `ranges`."""
    tuple_ = _encode_range(int_, 0)
    pos = bisect.bisect_left(ranges, tuple_)
    # we could be immediately ahead of a tuple (start, end)
    # with start < int_ <= end
    if pos > 0:
        left, right = _decode_range(ranges[pos-1])
        if left <= int_ < right:
            return True
    # or we could be immediately behind a tuple (int_, end)
    if pos < len(ranges):
        left, _ = _decode_range(ranges[pos])
        if left == int_:
            return True
    return False 

def bisect_right(self, value):
        """Return an index to insert `value` in the sorted-key list.

        Similar to `bisect_left`, but if `value` is already present, the
        insertion point with be after (to the right of) any existing values.

        Similar to the `bisect` module in the standard library.

        Runtime complexity: `O(log(n))` -- approximate.

        >>> from operator import neg
        >>> skl = SortedList([5, 4, 3, 2, 1], key=neg)
        >>> skl.bisect_right(1)
        5

        :param value: insertion index of value in sorted-key list
        :return: index

        """
        return self._bisect_key_right(self._key(value)) 

def bisect_right(self, value):
        """Return an index to insert `value` in the sorted-key list.

        Similar to `bisect_left`, but if `value` is already present, the
        insertion point with be after (to the right of) any existing values.

        Similar to the `bisect` module in the standard library.

        Runtime complexity: `O(log(n))` -- approximate.

        >>> from operator import neg
        >>> skl = SortedList([5, 4, 3, 2, 1], key=neg)
        >>> skl.bisect_right(1)
        5

        :param value: insertion index of value in sorted-key list
        :return: index

        """
        return self._bisect_key_right(self._key(value)) 

def intersects(self, *args):
        if len(args) == 1 and isinstance(args[0], CellId):
            cell_id = args[0]
            index = bisect.bisect_left(self.__cell_ids, cell_id)
            if index != len(self.__cell_ids) \
                and self.__cell_ids[index].range_min() <= cell_id.range_max():
                return True
            return index != 0 \
                and self.__cell_ids[index - 1].range_max() \
                                                    >= cell_id.range_min()
        elif len(args) == 1 and isinstance(args[0], CellUnion):
            cell_union = args[0]
            for cell_id in cell_union.__cell_ids:
                if self.intersects(cell_id):
                    return True
            return False
        else:
            raise NotImplementedError() 

def contains(self, *args):
        if len(args) == 1 and isinstance(args[0], Cell):
            return self.contains(args[0].id())
        elif len(args) == 1 and isinstance(args[0], CellId):
            cell_id = args[0]
            index = bisect.bisect_left(self.__cell_ids, cell_id)
            if index < len(self.__cell_ids) \
                    and self.__cell_ids[index].range_min() <= cell_id:
                return True
            return index != 0 \
                    and self.__cell_ids[index - 1].range_max() >= cell_id
        elif len(args) == 1 and isinstance(args[0], Point):
            return self.contains(CellId.from_point(args[0]))
        elif len(args) == 1 and isinstance(args[0], self.__class__):
            cell_union = args[0]
            for i in xrange(cell_union.num_cells()):
                if not self.contains(cell_union.cell_id(i)):
                    return False
            return True
        else:
            raise NotImplementedError() 

def bisect_left(self, value):
        """Return an index to insert `value` in the sorted-key list.

        If the `value` is already present, the insertion point will be before
        (to the left of) any existing values.

        Similar to the `bisect` module in the standard library.

        Runtime complexity: `O(log(n))` -- approximate.

        >>> from operator import neg
        >>> skl = SortedKeyList([5, 4, 3, 2, 1], key=neg)
        >>> skl.bisect_left(1)
        4

        :param value: insertion index of value in sorted-key list
        :return: index

        """
        return self._bisect_key_left(self._key(value)) 

def bisect_left(self, value):
        """Return an index to insert `value` in the sorted-key list.

        If the `value` is already present, the insertion point will be before
        (to the left of) any existing values.

        Similar to the `bisect` module in the standard library.

        Runtime complexity: `O(log(n))` -- approximate.

        >>> from operator import neg
        >>> skl = SortedKeyList([5, 4, 3, 2, 1], key=neg)
        >>> skl.bisect_left(1)
        4

        :param value: insertion index of value in sorted-key list
        :return: index

        """
        return self._bisect_key_left(self._key(value)) 

def intranges_contain(int_, ranges):
    """Determine if `int_` falls into one of the ranges in `ranges`."""
    tuple_ = _encode_range(int_, 0)
    pos = bisect.bisect_left(ranges, tuple_)
    # we could be immediately ahead of a tuple (start, end)
    # with start < int_ <= end
    if pos > 0:
        left, right = _decode_range(ranges[pos-1])
        if left <= int_ < right:
            return True
    # or we could be immediately behind a tuple (int_, end)
    if pos < len(ranges):
        left, _ = _decode_range(ranges[pos])
        if left == int_:
            return True
    return False 

def intranges_contain(int_, ranges):
    """Determine if `int_` falls into one of the ranges in `ranges`."""
    tuple_ = _encode_range(int_, 0)
    pos = bisect.bisect_left(ranges, tuple_)
    # we could be immediately ahead of a tuple (start, end)
    # with start < int_ <= end
    if pos > 0:
        left, right = _decode_range(ranges[pos-1])
        if left <= int_ < right:
            return True
    # or we could be immediately behind a tuple (int_, end)
    if pos < len(ranges):
        left, _ = _decode_range(ranges[pos])
        if left == int_:
            return True
    return False 

def intranges_contain(int_, ranges):
    """Determine if `int_` falls into one of the ranges in `ranges`."""
    tuple_ = _encode_range(int_, 0)
    pos = bisect.bisect_left(ranges, tuple_)
    # we could be immediately ahead of a tuple (start, end)
    # with start < int_ <= end
    if pos > 0:
        left, right = _decode_range(ranges[pos-1])
        if left <= int_ < right:
            return True
    # or we could be immediately behind a tuple (int_, end)
    if pos < len(ranges):
        left, _ = _decode_range(ranges[pos])
        if left == int_:
            return True
    return False 

def intranges_contain(int_, ranges):
    """Determine if `int_` falls into one of the ranges in `ranges`."""
    tuple_ = _encode_range(int_, 0)
    pos = bisect.bisect_left(ranges, tuple_)
    # we could be immediately ahead of a tuple (start, end)
    # with start < int_ <= end
    if pos > 0:
        left, right = _decode_range(ranges[pos-1])
        if left <= int_ < right:
            return True
    # or we could be immediately behind a tuple (int_, end)
    if pos < len(ranges):
        left, _ = _decode_range(ranges[pos])
        if left == int_:
            return True
    return False 

def keys(self, prefix=None):
        if prefix is None or prefix == "" or not self._keys:
            return set(self._keys)

        if prefix.startswith(self._cachestr):
            lo, hi = self._cachepoints
            start = i = bisect_left(self._keys, prefix, lo, hi)
        else:
            start = i = bisect_left(self._keys, prefix)

        keys = set()
        if start == len(self._keys):
            return keys

        while self._keys[i].startswith(prefix):
            keys.add(self._keys[i])
            i += 1

        self._cachestr = prefix
        self._cachepoints = (start, i)

        return keys 

def bisect_key_left(self, key):
        """Return an index to insert `key` in the sorted-key list.

        If the `key` is already present, the insertion point will be before (to
        the left of) any existing keys.

        Similar to the `bisect` module in the standard library.

        Runtime complexity: `O(log(n))` -- approximate.

        >>> from operator import neg
        >>> skl = SortedKeyList([5, 4, 3, 2, 1], key=neg)
        >>> skl.bisect_key_left(-1)
        4

        :param key: insertion index of key in sorted-key list
        :return: index

        """
        _maxes = self._maxes

        if not _maxes:
            return 0

        pos = bisect_left(_maxes, key)

        if pos == len(_maxes):
            return self._len

        idx = bisect_left(self._keys[pos], key)

        return self._loc(pos, idx) 

def bisect_right(self, value):
        """Return an index to insert `value` in the sorted list.

        Similar to `bisect_left`, but if `value` is already present, the
        insertion point with be after (to the right of) any existing values.

        Similar to the `bisect` module in the standard library.

        Runtime complexity: `O(log(n))` -- approximate.

        >>> sl = SortedList([10, 11, 12, 13, 14])
        >>> sl.bisect_right(12)
        3

        :param value: insertion index of value in sorted list
        :return: index

        """
        _maxes = self._maxes

        if not _maxes:
            return 0

        pos = bisect_right(_maxes, value)

        if pos == len(_maxes):
            return self._len

        idx = bisect_right(self._lists[pos], value)
        return self._loc(pos, idx) 

def uts46_remap(domain, std3_rules=True, transitional=False):
    """Re-map the characters in the string according to UTS46 processing."""
    from .uts46data import uts46data
    output = u""
    try:
        for pos, char in enumerate(domain):
            code_point = ord(char)
            uts46row = uts46data[code_point if code_point < 256 else
                bisect.bisect_left(uts46data, (code_point, "Z")) - 1]
            status = uts46row[1]
            replacement = uts46row[2] if len(uts46row) == 3 else None
            if (status == "V" or
                    (status == "D" and not transitional) or
                    (status == "3" and std3_rules and replacement is None)):
                output += char
            elif replacement is not None and (status == "M" or
                    (status == "3" and std3_rules) or
                    (status == "D" and transitional)):
                output += replacement
            elif status != "I":
                raise IndexError()
        return unicodedata.normalize("NFC", output)
    except IndexError:
        raise InvalidCodepoint(
            "Codepoint {0} not allowed at position {1} in {2}".format(
            _unot(code_point), pos + 1, repr(domain))) 

def uts46_remap(domain, std3_rules=True, transitional=False):
    """Re-map the characters in the string according to UTS46 processing."""
    from .uts46data import uts46data
    output = u""
    try:
        for pos, char in enumerate(domain):
            code_point = ord(char)
            uts46row = uts46data[code_point if code_point < 256 else
                bisect.bisect_left(uts46data, (code_point, "Z")) - 1]
            status = uts46row[1]
            replacement = uts46row[2] if len(uts46row) == 3 else None
            if (status == "V" or
                    (status == "D" and not transitional) or
                    (status == "3" and std3_rules and replacement is None)):
                output += char
            elif replacement is not None and (status == "M" or
                    (status == "3" and std3_rules) or
                    (status == "D" and transitional)):
                output += replacement
            elif status != "I":
                raise IndexError()
        return unicodedata.normalize("NFC", output)
    except IndexError:
        raise InvalidCodepoint(
            "Codepoint {0} not allowed at position {1} in {2}".format(
            _unot(code_point), pos + 1, repr(domain))) 

def bisect_left(self, value):
        """Return an index to insert `value` in the sorted list.

        If the `value` is already present, the insertion point will be before
        (to the left of) any existing values.

        Similar to the `bisect` module in the standard library.

        Runtime complexity: `O(log(n))` -- approximate.

        >>> sl = SortedList([10, 11, 12, 13, 14])
        >>> sl.bisect_left(12)
        2

        :param value: insertion index of value in sorted list
        :return: index

        """
        _maxes = self._maxes

        if not _maxes:
            return 0

        pos = bisect_left(_maxes, value)

        if pos == len(_maxes):
            return self._len

        idx = bisect_left(self._lists[pos], value)
        return self._loc(pos, idx) 

def remove(self, value):
        """Remove `value` from sorted list; `value` must be a member.

        If `value` is not a member, raise ValueError.

        Runtime complexity: `O(log(n))` -- approximate.

        >>> sl = SortedList([1, 2, 3, 4, 5])
        >>> sl.remove(5)
        >>> sl == [1, 2, 3, 4]
        True
        >>> sl.remove(0)
        Traceback (most recent call last):
          ...
        ValueError: 0 not in list

        :param value: `value` to remove from sorted list
        :raises ValueError: if `value` is not in sorted list

        """
        _maxes = self._maxes

        if not _maxes:
            raise ValueError('{0!r} not in list'.format(value))

        pos = bisect_left(_maxes, value)

        if pos == len(_maxes):
            raise ValueError('{0!r} not in list'.format(value))

        _lists = self._lists
        idx = bisect_left(_lists[pos], value)

        if _lists[pos][idx] == value:
            self._delete(pos, idx)
        else:
            raise ValueError('{0!r} not in list'.format(value)) 

def discard(self, value):
        """Remove `value` from sorted list if it is a member.

        If `value` is not a member, do nothing.

        Runtime complexity: `O(log(n))` -- approximate.

        >>> sl = SortedList([1, 2, 3, 4, 5])
        >>> sl.discard(5)
        >>> sl.discard(0)
        >>> sl == [1, 2, 3, 4]
        True

        :param value: `value` to discard from sorted list

        """
        _maxes = self._maxes

        if not _maxes:
            return

        pos = bisect_left(_maxes, value)

        if pos == len(_maxes):
            return

        _lists = self._lists
        idx = bisect_left(_lists[pos], value)

        if _lists[pos][idx] == value:
            self._delete(pos, idx) 

def remove(self, value):
        """Remove `value` from sorted list; `value` must be a member.

        If `value` is not a member, raise ValueError.

        Runtime complexity: `O(log(n))` -- approximate.

        >>> sl = SortedList([1, 2, 3, 4, 5])
        >>> sl.remove(5)
        >>> sl == [1, 2, 3, 4]
        True
        >>> sl.remove(0)
        Traceback (most recent call last):
          ...
        ValueError: 0 not in list

        :param value: `value` to remove from sorted list
        :raises ValueError: if `value` is not in sorted list

        """
        _maxes = self._maxes

        if not _maxes:
            raise ValueError('{0!r} not in list'.format(value))

        pos = bisect_left(_maxes, value)

        if pos == len(_maxes):
            raise ValueError('{0!r} not in list'.format(value))

        _lists = self._lists
        idx = bisect_left(_lists[pos], value)

        if _lists[pos][idx] == value:
            self._delete(pos, idx)
        else:
            raise ValueError('{0!r} not in list'.format(value)) 

def count(self, value):
        """Return number of occurrences of `value` in the sorted list.

        Runtime complexity: `O(log(n))` -- approximate.

        >>> sl = SortedList([1, 2, 2, 3, 3, 3, 4, 4, 4, 4])
        >>> sl.count(3)
        3

        :param value: value to count in sorted list
        :return: count

        """
        _maxes = self._maxes

        if not _maxes:
            return 0

        pos_left = bisect_left(_maxes, value)

        if pos_left == len(_maxes):
            return 0

        _lists = self._lists
        idx_left = bisect_left(_lists[pos_left], value)
        pos_right = bisect_right(_maxes, value)

        if pos_right == len(_maxes):
            return self._len - self._loc(pos_left, idx_left)

        idx_right = bisect_right(_lists[pos_right], value)

        if pos_left == pos_right:
            return idx_right - idx_left

        right = self._loc(pos_right, idx_right)
        left = self._loc(pos_left, idx_left)
        return right - left 

def bisect_right(self, value):
        """Return an index to insert `value` in the sorted list.

        Similar to `bisect_left`, but if `value` is already present, the
        insertion point with be after (to the right of) any existing values.

        Similar to the `bisect` module in the standard library.

        Runtime complexity: `O(log(n))` -- approximate.

        >>> sl = SortedList([10, 11, 12, 13, 14])
        >>> sl.bisect_right(12)
        3

        :param value: insertion index of value in sorted list
        :return: index

        """
        _maxes = self._maxes

        if not _maxes:
            return 0

        pos = bisect_right(_maxes, value)

        if pos == len(_maxes):
            return self._len

        idx = bisect_right(self._lists[pos], value)
        return self._loc(pos, idx) 

def bisect_left(self, value):
        """Return an index to insert `value` in the sorted list.

        If the `value` is already present, the insertion point will be before
        (to the left of) any existing values.

        Similar to the `bisect` module in the standard library.

        Runtime complexity: `O(log(n))` -- approximate.

        >>> sl = SortedList([10, 11, 12, 13, 14])
        >>> sl.bisect_left(12)
        2

        :param value: insertion index of value in sorted list
        :return: index

        """
        _maxes = self._maxes

        if not _maxes:
            return 0

        pos = bisect_left(_maxes, value)

        if pos == len(_maxes):
            return self._len

        idx = bisect_left(self._lists[pos], value)
        return self._loc(pos, idx) 

def __contains__(self, value):
        """Return true if `value` is an element of the sorted list.

        ``sl.__contains__(value)`` <==> ``value in sl``

        Runtime complexity: `O(log(n))`

        >>> sl = SortedList([1, 2, 3, 4, 5])
        >>> 3 in sl
        True

        :param value: search for value in sorted list
        :return: true if `value` in sorted list

        """
        _maxes = self._maxes

        if not _maxes:
            return False

        pos = bisect_left(_maxes, value)

        if pos == len(_maxes):
            return False

        _lists = self._lists
        idx = bisect_left(_lists[pos], value)

        return _lists[pos][idx] == value