Merge branch 'TheAlgorithms:master' into OctalToBinary

.pre-commit-config.yaml

@@ -16,7 +16,7 @@ repos:
     -   id: auto-walrus
 
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.0.281
+    rev: v0.0.282
     hooks:
       - id: ruff
 

DIRECTORY.md

@@ -585,6 +585,7 @@
   * [Hardy Ramanujanalgo](maths/hardy_ramanujanalgo.py)
   * [Hexagonal Number](maths/hexagonal_number.py)
   * [Integration By Simpson Approx](maths/integration_by_simpson_approx.py)
+  * [Interquartile Range](maths/interquartile_range.py)
   * [Is Int Palindrome](maths/is_int_palindrome.py)
   * [Is Ip V4 Address Valid](maths/is_ip_v4_address_valid.py)
   * [Is Square Free](maths/is_square_free.py)
@@ -709,7 +710,6 @@
     * [Exponential Linear Unit](neural_network/activation_functions/exponential_linear_unit.py)
   * [Back Propagation Neural Network](neural_network/back_propagation_neural_network.py)
   * [Convolution Neural Network](neural_network/convolution_neural_network.py)
-  * [Input Data](neural_network/input_data.py)
   * [Perceptron](neural_network/perceptron.py)
   * [Simple Neural Network](neural_network/simple_neural_network.py)
 

conversions/length_conversion.py

@@ -22,9 +22,13 @@ REFERENCES :
 -> Wikipedia reference: https://en.wikipedia.org/wiki/Millimeter
 """
 
-from collections import namedtuple
+from typing import NamedTuple
+
+
+class FromTo(NamedTuple):
+    from_factor: float
+    to_factor: float
 
-from_to = namedtuple("from_to", "from_ to")
 
 TYPE_CONVERSION = {
     "millimeter": "mm",
@@ -40,14 +44,14 @@ TYPE_CONVERSION = {
 }
 
 METRIC_CONVERSION = {
-    "mm": from_to(0.001, 1000),
-    "cm": from_to(0.01, 100),
-    "m": from_to(1, 1),
-    "km": from_to(1000, 0.001),
-    "in": from_to(0.0254, 39.3701),
-    "ft": from_to(0.3048, 3.28084),
-    "yd": from_to(0.9144, 1.09361),
-    "mi": from_to(1609.34, 0.000621371),
+    "mm": FromTo(0.001, 1000),
+    "cm": FromTo(0.01, 100),
+    "m": FromTo(1, 1),
+    "km": FromTo(1000, 0.001),
+    "in": FromTo(0.0254, 39.3701),
+    "ft": FromTo(0.3048, 3.28084),
+    "yd": FromTo(0.9144, 1.09361),
+    "mi": FromTo(1609.34, 0.000621371),
 }
 
 
@@ -115,7 +119,11 @@ def length_conversion(value: float, from_type: str, to_type: str) -> float:
             f"Conversion abbreviations are: {', '.join(METRIC_CONVERSION)}"
         )
         raise ValueError(msg)
-    return value * METRIC_CONVERSION[new_from].from_ * METRIC_CONVERSION[new_to].to
+    return (
+        value
+        * METRIC_CONVERSION[new_from].from_factor
+        * METRIC_CONVERSION[new_to].to_factor
+    )
 
 
 if __name__ == "__main__":

conversions/pressure_conversions.py

@@ -19,19 +19,23 @@ REFERENCES :
 -> https://www.unitconverters.net/pressure-converter.html
 """
 
-from collections import namedtuple
+from typing import NamedTuple
+
+
+class FromTo(NamedTuple):
+    from_factor: float
+    to_factor: float
 
-from_to = namedtuple("from_to", "from_ to")
 
 PRESSURE_CONVERSION = {
-    "atm": from_to(1, 1),
-    "pascal": from_to(0.0000098, 101325),
-    "bar": from_to(0.986923, 1.01325),
-    "kilopascal": from_to(0.00986923, 101.325),
-    "megapascal": from_to(9.86923, 0.101325),
-    "psi": from_to(0.068046, 14.6959),
-    "inHg": from_to(0.0334211, 29.9213),
-    "torr": from_to(0.00131579, 760),
+    "atm": FromTo(1, 1),
+    "pascal": FromTo(0.0000098, 101325),
+    "bar": FromTo(0.986923, 1.01325),
+    "kilopascal": FromTo(0.00986923, 101.325),
+    "megapascal": FromTo(9.86923, 0.101325),
+    "psi": FromTo(0.068046, 14.6959),
+    "inHg": FromTo(0.0334211, 29.9213),
+    "torr": FromTo(0.00131579, 760),
 }
 
 
@@ -71,7 +75,9 @@ def pressure_conversion(value: float, from_type: str, to_type: str) -> float:
             + ", ".join(PRESSURE_CONVERSION)
         )
     return (
-        value * PRESSURE_CONVERSION[from_type].from_ * PRESSURE_CONVERSION[to_type].to
+        value
+        * PRESSURE_CONVERSION[from_type].from_factor
+        * PRESSURE_CONVERSION[to_type].to_factor
     )
 
 

conversions/volume_conversions.py

@@ -18,18 +18,22 @@ REFERENCES :
 -> Wikipedia reference: https://en.wikipedia.org/wiki/Cup_(unit)
 """
 
-from collections import namedtuple
+from typing import NamedTuple
+
+
+class FromTo(NamedTuple):
+    from_factor: float
+    to_factor: float
 
-from_to = namedtuple("from_to", "from_ to")
 
 METRIC_CONVERSION = {
-    "cubicmeter": from_to(1, 1),
-    "litre": from_to(0.001, 1000),
-    "kilolitre": from_to(1, 1),
-    "gallon": from_to(0.00454, 264.172),
-    "cubicyard": from_to(0.76455, 1.30795),
-    "cubicfoot": from_to(0.028, 35.3147),
-    "cup": from_to(0.000236588, 4226.75),
+    "cubic meter": FromTo(1, 1),
+    "litre": FromTo(0.001, 1000),
+    "kilolitre": FromTo(1, 1),
+    "gallon": FromTo(0.00454, 264.172),
+    "cubic yard": FromTo(0.76455, 1.30795),
+    "cubic foot": FromTo(0.028, 35.3147),
+    "cup": FromTo(0.000236588, 4226.75),
 }
 
 
@@ -66,7 +70,11 @@ def volume_conversion(value: float, from_type: str, to_type: str) -> float:
             f"Invalid 'to_type' value: {to_type!r}.  Supported values are:\n"
             + ", ".join(METRIC_CONVERSION)
         )
-    return value * METRIC_CONVERSION[from_type].from_ * METRIC_CONVERSION[to_type].to
+    return (
+        value
+        * METRIC_CONVERSION[from_type].from_factor
+        * METRIC_CONVERSION[to_type].to_factor
+    )
 
 
 if __name__ == "__main__":

data_structures/binary_tree/distribute_coins.py

@@ -39,8 +39,8 @@ Space: O(1)
 
 from __future__ import annotations
 
-from collections import namedtuple
 from dataclasses import dataclass
+from typing import NamedTuple
 
 
 @dataclass
@@ -50,7 +50,9 @@ class TreeNode:
     right: TreeNode | None = None
 
 
-CoinsDistribResult = namedtuple("CoinsDistribResult", "moves excess")
+class CoinsDistribResult(NamedTuple):
+    moves: int
+    excess: int
 
 
 def distribute_coins(root: TreeNode | None) -> int:
@@ -79,7 +81,7 @@ def distribute_coins(root: TreeNode | None) -> int:
     # Validation
     def count_nodes(node: TreeNode | None) -> int:
         """
-        >>> count_nodes(None):
+        >>> count_nodes(None)
         0
         """
         if node is None:
@@ -89,7 +91,7 @@ def distribute_coins(root: TreeNode | None) -> int:
 
     def count_coins(node: TreeNode | None) -> int:
         """
-        >>> count_coins(None):
+        >>> count_coins(None)
         0
         """
         if node is None:

electronics/electric_power.py

@@ -1,7 +1,12 @@
 # https://en.m.wikipedia.org/wiki/Electric_power
 from __future__ import annotations
 
-from collections import namedtuple
+from typing import NamedTuple
+
+
+class Result(NamedTuple):
+    name: str
+    value: float
 
 
 def electric_power(voltage: float, current: float, power: float) -> tuple:
@@ -10,11 +15,11 @@ def electric_power(voltage: float, current: float, power: float) -> tuple:
     fundamental value of electrical system.
     examples are below:
     >>> electric_power(voltage=0, current=2, power=5)
-    result(name='voltage', value=2.5)
+    Result(name='voltage', value=2.5)
     >>> electric_power(voltage=2, current=2, power=0)
-    result(name='power', value=4.0)
+    Result(name='power', value=4.0)
     >>> electric_power(voltage=-2, current=3, power=0)
-    result(name='power', value=6.0)
+    Result(name='power', value=6.0)
     >>> electric_power(voltage=2, current=4, power=2)
     Traceback (most recent call last):
         ...
@@ -28,9 +33,8 @@ def electric_power(voltage: float, current: float, power: float) -> tuple:
         ...
     ValueError: Power cannot be negative in any electrical/electronics system
     >>> electric_power(voltage=2.2, current=2.2, power=0)
-    result(name='power', value=4.84)
+    Result(name='power', value=4.84)
     """
-    result = namedtuple("result", "name value")
     if (voltage, current, power).count(0) != 1:
         raise ValueError("Only one argument must be 0")
     elif power < 0:
@@ -38,11 +42,11 @@ def electric_power(voltage: float, current: float, power: float) -> tuple:
             "Power cannot be negative in any electrical/electronics system"
         )
     elif voltage == 0:
-        return result("voltage", power / current)
+        return Result("voltage", power / current)
     elif current == 0:
-        return result("current", power / voltage)
+        return Result("current", power / voltage)
     elif power == 0:
-        return result("power", float(round(abs(voltage * current), 2)))
+        return Result("power", float(round(abs(voltage * current), 2)))
     else:
         raise ValueError("Exactly one argument must be 0")
 

graphs/bi_directional_dijkstra.py

@@ -26,8 +26,8 @@ def pass_and_relaxation(
     cst_bwd: dict,
     queue: PriorityQueue,
     parent: dict,
-    shortest_distance: float | int,
-) -> float | int:
+    shortest_distance: float,
+) -> float:
     for nxt, d in graph[v]:
         if nxt in visited_forward:
             continue

maths/area_under_curve.py

@@ -7,9 +7,9 @@ from collections.abc import Callable
 
 
 def trapezoidal_area(
-    fnc: Callable[[int | float], int | float],
-    x_start: int | float,
-    x_end: int | float,
+    fnc: Callable[[float], float],
+    x_start: float,
+    x_end: float,
     steps: int = 100,
 ) -> float:
     """

maths/decimal_to_fraction.py

@@ -1,4 +1,4 @@
-def decimal_to_fraction(decimal: int | float | str) -> tuple[int, int]:
+def decimal_to_fraction(decimal: float | str) -> tuple[int, int]:
     """
     Return a decimal number in its simplest fraction form
     >>> decimal_to_fraction(2)

maths/interquartile_range.py

@@ -0,0 +1,66 @@
+"""
+An implementation of interquartile range (IQR) which is a measure of statistical
+dispersion, which is the spread of the data.
+
+The function takes the list of numeric values as input and returns the IQR.
+
+Script inspired by this Wikipedia article:
+https://en.wikipedia.org/wiki/Interquartile_range
+"""
+from __future__ import annotations
+
+
+def find_median(nums: list[int | float]) -> float:
+    """
+    This is the implementation of the median.
+    :param nums: The list of numeric nums
+    :return: Median of the list
+    >>> find_median(nums=([1, 2, 2, 3, 4]))
+    2
+    >>> find_median(nums=([1, 2, 2, 3, 4, 4]))
+    2.5
+    >>> find_median(nums=([-1, 2, 0, 3, 4, -4]))
+    1.5
+    >>> find_median(nums=([1.1, 2.2, 2, 3.3, 4.4, 4]))
+    2.65
+    """
+    div, mod = divmod(len(nums), 2)
+    if mod:
+        return nums[div]
+    return (nums[div] + nums[(div) - 1]) / 2
+
+
+def interquartile_range(nums: list[int | float]) -> float:
+    """
+    Return the interquartile range for a list of numeric values.
+    :param nums: The list of numeric values.
+    :return: interquartile range
+
+    >>> interquartile_range(nums=[4, 1, 2, 3, 2])
+    2.0
+    >>> interquartile_range(nums = [-2, -7, -10, 9, 8, 4, -67, 45])
+    17.0
+    >>> interquartile_range(nums = [-2.1, -7.1, -10.1, 9.1, 8.1, 4.1, -67.1, 45.1])
+    17.2
+    >>> interquartile_range(nums = [0, 0, 0, 0, 0])
+    0.0
+    >>> interquartile_range(nums=[])
+    Traceback (most recent call last):
+    ...
+    ValueError: The list is empty. Provide a non-empty list.
+    """
+    if not nums:
+        raise ValueError("The list is empty. Provide a non-empty list.")
+    nums.sort()
+    length = len(nums)
+    div, mod = divmod(length, 2)
+    q1 = find_median(nums[:div])
+    half_length = sum((div, mod))
+    q3 = find_median(nums[half_length:length])
+    return q3 - q1
+
+
+if __name__ == "__main__":
+    import doctest
+
+    doctest.testmod()

maths/line_length.py

@@ -5,9 +5,9 @@ from collections.abc import Callable
 
 
 def line_length(
-    fnc: Callable[[int | float], int | float],
-    x_start: int | float,
-    x_end: int | float,
+    fnc: Callable[[float], float],
+    x_start: float,
+    x_end: float,
     steps: int = 100,
 ) -> float:
     """

maths/numerical_integration.py

@@ -7,9 +7,9 @@ from collections.abc import Callable
 
 
 def trapezoidal_area(
-    fnc: Callable[[int | float], int | float],
-    x_start: int | float,
-    x_end: int | float,
+    fnc: Callable[[float], float],
+    x_start: float,
+    x_end: float,
     steps: int = 100,
 ) -> float:
     """

maths/polynomials/single_indeterminate_operations.py

@@ -87,7 +87,7 @@ class Polynomial:
 
         return Polynomial(self.degree + polynomial_2.degree, coefficients)
 
-    def evaluate(self, substitution: int | float) -> int | float:
+    def evaluate(self, substitution: float) -> float:
         """
         Evaluates the polynomial at x.
         >>> p = Polynomial(2, [1, 2, 3])
@@ -144,7 +144,7 @@ class Polynomial:
             coefficients[i] = self.coefficients[i + 1] * (i + 1)
         return Polynomial(self.degree - 1, coefficients)
 
-    def integral(self, constant: int | float = 0) -> Polynomial:
+    def integral(self, constant: float = 0) -> Polynomial:
         """
         Returns the integral of the polynomial.
         >>> p = Polynomial(2, [1, 2, 3])

maths/series/geometric_series.py

@@ -14,10 +14,10 @@ from __future__ import annotations
 
 
 def geometric_series(
-    nth_term: float | int,
-    start_term_a: float | int,
-    common_ratio_r: float | int,
-) -> list[float | int]:
+    nth_term: float,
+    start_term_a: float,
+    common_ratio_r: float,
+) -> list[float]:
     """
     Pure Python implementation of Geometric Series algorithm
 
@@ -48,7 +48,7 @@ def geometric_series(
     """
     if not all((nth_term, start_term_a, common_ratio_r)):
         return []
-    series: list[float | int] = []
+    series: list[float] = []
     power = 1
     multiple = common_ratio_r
     for _ in range(int(nth_term)):

maths/series/p_series.py

@@ -13,7 +13,7 @@ python3 p_series.py
 from __future__ import annotations
 
 
-def p_series(nth_term: int | float | str, power: int | float | str) -> list[str]:
+def p_series(nth_term: float | str, power: float | str) -> list[str]:
     """
     Pure Python implementation of P-Series algorithm
     :return: The P-Series starting from 1 to last (nth) term

maths/volume.py

@@ -8,7 +8,7 @@ from __future__ import annotations
 from math import pi, pow
 
 
-def vol_cube(side_length: int | float) -> float:
+def vol_cube(side_length: float) -> float:
     """
     Calculate the Volume of a Cube.
     >>> vol_cube(1)

matrix/matrix_class.py

@@ -141,7 +141,7 @@ class Matrix:
 
     @property
     def order(self) -> tuple[int, int]:
-        return (self.num_rows, self.num_columns)
+        return self.num_rows, self.num_columns
 
     @property
     def is_square(self) -> bool:
@@ -315,7 +315,7 @@ class Matrix:
             ]
         )
 
-    def __mul__(self, other: Matrix | int | float) -> Matrix:
+    def __mul__(self, other: Matrix | float) -> Matrix:
         if isinstance(other, (int, float)):
             return Matrix(
                 [[int(element * other) for element in row] for row in self.rows]

matrix/matrix_operation.py

@@ -47,7 +47,7 @@ def subtract(matrix_a: list[list[int]], matrix_b: list[list[int]]) -> list[list[
     raise TypeError("Expected a matrix, got int/list instead")
 
 
-def scalar_multiply(matrix: list[list[int]], n: int | float) -> list[list[float]]:
+def scalar_multiply(matrix: list[list[int]], n: float) -> list[list[float]]:
     """
     >>> scalar_multiply([[1,2],[3,4]],5)
     [[5, 10], [15, 20]]
@@ -189,9 +189,7 @@ def main() -> None:
     matrix_c = [[11, 12, 13, 14], [21, 22, 23, 24], [31, 32, 33, 34], [41, 42, 43, 44]]
     matrix_d = [[3, 0, 2], [2, 0, -2], [0, 1, 1]]
     print(f"Add Operation, {add(matrix_a, matrix_b) = } \n")
-    print(
-        f"Multiply Operation, {multiply(matrix_a, matrix_b) = } \n",
-    )
+    print(f"Multiply Operation, {multiply(matrix_a, matrix_b) = } \n")
     print(f"Identity: {identity(5)}\n")
     print(f"Minor of {matrix_c} = {minor(matrix_c, 1, 2)} \n")
     print(f"Determinant of {matrix_b} = {determinant(matrix_b)} \n")

matrix/searching_in_sorted_matrix.py

@@ -1,9 +1,7 @@
 from __future__ import annotations
 
 
-def search_in_a_sorted_matrix(
-    mat: list[list[int]], m: int, n: int, key: int | float
-) -> None:
+def search_in_a_sorted_matrix(mat: list[list[int]], m: int, n: int, key: float) -> None:
     """
     >>> search_in_a_sorted_matrix(
     ...     [[2, 5, 7], [4, 8, 13], [9, 11, 15], [12, 17, 20]], 3, 3, 5)

matrix/sherman_morrison.py

@@ -22,7 +22,7 @@ class Matrix:
         """
 
         self.row, self.column = row, column
-        self.array = [[default_value for c in range(column)] for r in range(row)]
+        self.array = [[default_value for _ in range(column)] for _ in range(row)]
 
     def __str__(self) -> str:
         """
@@ -54,15 +54,15 @@ class Matrix:
     def __repr__(self) -> str:
         return str(self)
 
-    def validate_indicies(self, loc: tuple[int, int]) -> bool:
+    def validate_indices(self, loc: tuple[int, int]) -> bool:
         """
         <method Matrix.validate_indicies>
         Check if given indices are valid to pick element from matrix.
         Example:
         >>> a = Matrix(2, 6, 0)
-        >>> a.validate_indicies((2, 7))
+        >>> a.validate_indices((2, 7))
         False
-        >>> a.validate_indicies((0, 0))
+        >>> a.validate_indices((0, 0))
         True
         """
         if not (isinstance(loc, (list, tuple)) and len(loc) == 2):
@@ -81,7 +81,7 @@ class Matrix:
         >>> a[1, 0]
         7
         """
-        assert self.validate_indicies(loc)
+        assert self.validate_indices(loc)
         return self.array[loc[0]][loc[1]]
 
     def __setitem__(self, loc: tuple[int, int], value: float) -> None:
@@ -96,7 +96,7 @@ class Matrix:
         [ 1,  1,  1]
         [ 1,  1, 51]
         """
-        assert self.validate_indicies(loc)
+        assert self.validate_indices(loc)
         self.array[loc[0]][loc[1]] = value
 
     def __add__(self, another: Matrix) -> Matrix:
@@ -145,7 +145,7 @@ class Matrix:
     def __sub__(self, another: Matrix) -> Matrix:
         return self + (-another)
 
-    def __mul__(self, another: int | float | Matrix) -> Matrix:
+    def __mul__(self, another: float | Matrix) -> Matrix:
         """
         <method Matrix.__mul__>
         Return self * another.
@@ -233,7 +233,7 @@ class Matrix:
         v_t = v.transpose()
         numerator_factor = (v_t * self * u)[0, 0] + 1
         if numerator_factor == 0:
-            return None  # It's not invertable
+            return None  # It's not invertible
         return self - ((self * u) * (v_t * self) * (1.0 / numerator_factor))
 
 

searches/jump_search.py

@@ -4,14 +4,28 @@ This algorithm iterates through a sorted collection with a step of n^(1/2),
 until the element compared is bigger than the one searched.
 It will then perform a linear search until it matches the wanted number.
 If not found, it returns -1.
+
+https://en.wikipedia.org/wiki/Jump_search
 """
 
 import math
+from collections.abc import Sequence
+from typing import Any, Protocol, TypeVar
 
 
-def jump_search(arr: list, x: int) -> int:
+class Comparable(Protocol):
+    def __lt__(self, other: Any, /) -> bool:
+        ...
+
+
+T = TypeVar("T", bound=Comparable)
+
+
+def jump_search(arr: Sequence[T], item: T) -> int:
     """
-    Pure Python implementation of the jump search algorithm.
+    Python implementation of the jump search algorithm.
+    Return the index if the `item` is found, otherwise return -1.
+
     Examples:
     >>> jump_search([0, 1, 2, 3, 4, 5], 3)
     3
@@ -21,31 +35,36 @@ def jump_search(arr: list, x: int) -> int:
     -1
     >>> jump_search([0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144, 233, 377, 610], 55)
     10
+    >>> jump_search(["aa", "bb", "cc", "dd", "ee", "ff"], "ee")
+    4
     """
 
-    n = len(arr)
-    step = int(math.floor(math.sqrt(n)))
+    arr_size = len(arr)
+    block_size = int(math.sqrt(arr_size))
+
     prev = 0
-    while arr[min(step, n) - 1] < x:
+    step = block_size
+    while arr[min(step, arr_size) - 1] < item:
         prev = step
-        step += int(math.floor(math.sqrt(n)))
-        if prev >= n:
+        step += block_size
+        if prev >= arr_size:
             return -1
 
-    while arr[prev] < x:
-        prev = prev + 1
-        if prev == min(step, n):
+    while arr[prev] < item:
+        prev += 1
+        if prev == min(step, arr_size):
             return -1
-    if arr[prev] == x:
+    if arr[prev] == item:
         return prev
     return -1
 
 
 if __name__ == "__main__":
     user_input = input("Enter numbers separated by a comma:\n").strip()
-    arr = [int(item) for item in user_input.split(",")]
+    array = [int(item) for item in user_input.split(",")]
     x = int(input("Enter the number to be searched:\n"))
-    res = jump_search(arr, x)
+
+    res = jump_search(array, x)
     if res == -1:
         print("Number not found!")
     else:

web_programming/covid_stats_via_xpath.py

@@ -4,17 +4,21 @@ This is to show simple COVID19 info fetching from worldometers site using lxml
 more convenient to use in Python web projects (e.g. Django or Flask-based)
 """
 
-from collections import namedtuple
+from typing import NamedTuple
 
 import requests
 from lxml import html  # type: ignore
 
-covid_data = namedtuple("covid_data", "cases deaths recovered")
+
+class CovidData(NamedTuple):
+    cases: int
+    deaths: int
+    recovered: int
 
 
-def covid_stats(url: str = "https://www.worldometers.info/coronavirus/") -> covid_data:
+def covid_stats(url: str = "https://www.worldometers.info/coronavirus/") -> CovidData:
     xpath_str = '//div[@class = "maincounter-number"]/span/text()'
-    return covid_data(*html.fromstring(requests.get(url).content).xpath(xpath_str))
+    return CovidData(*html.fromstring(requests.get(url).content).xpath(xpath_str))
 
 
 fmt = """Total COVID-19 cases in the world: {}

web_programming/current_stock_price.py

@@ -3,12 +3,18 @@ from bs4 import BeautifulSoup
 
 
 def stock_price(symbol: str = "AAPL") -> str:
-    url = f"https://in.finance.yahoo.com/quote/{symbol}?s={symbol}"
-    soup = BeautifulSoup(requests.get(url).text, "html.parser")
-    class_ = "My(6px) Pos(r) smartphone_Mt(6px)"
-    return soup.find("div", class_=class_).find("span").text
+    url = f"https://finance.yahoo.com/quote/{symbol}?p={symbol}"
+    yahoo_finance_source = requests.get(url, headers={"USER-AGENT": "Mozilla/5.0"}).text
+    soup = BeautifulSoup(yahoo_finance_source, "html.parser")
+    specific_fin_streamer_tag = soup.find("fin-streamer", {"data-test": "qsp-price"})
+
+    if specific_fin_streamer_tag:
+        text = specific_fin_streamer_tag.get_text()
+        return text
+    return "No <fin-streamer> tag with the specified data-test attribute found."
 
 
+# Search for the symbol at https://finance.yahoo.com/lookup
 if __name__ == "__main__":
     for symbol in "AAPL AMZN IBM GOOG MSFT ORCL".split():
         print(f"Current {symbol:<4} stock price is {stock_price(symbol):>8}")