mirror of
https://github.com/TheAlgorithms/Python.git
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Fix ruff errors (#8936)
* Fix ruff errors Renamed neural_network/input_data.py to neural_network/input_data.py_tf because it should be left out of the directory for the following reasons: 1. Its sole purpose is to be used by neural_network/gan.py_tf, which is itself left out of the directory because of issues with TensorFlow. 2. It was taken directly from TensorFlow's codebase and is actually already deprecated. If/when neural_network/gan.py_tf is eventually re-added back to the directory, its implementation should be changed to not use neural_network/input_data.py anyway. * updating DIRECTORY.md * Change input_data.py_tf file extension Change input_data.py_tf file extension because algorithms-keeper bot is being picky about it --------- Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com>
This commit is contained in:
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commit
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@ -710,7 +710,6 @@
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* [Exponential Linear Unit](neural_network/activation_functions/exponential_linear_unit.py)
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* [Back Propagation Neural Network](neural_network/back_propagation_neural_network.py)
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* [Convolution Neural Network](neural_network/convolution_neural_network.py)
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* [Input Data](neural_network/input_data.py)
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* [Perceptron](neural_network/perceptron.py)
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* [Simple Neural Network](neural_network/simple_neural_network.py)
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@ -22,9 +22,13 @@ REFERENCES :
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-> Wikipedia reference: https://en.wikipedia.org/wiki/Millimeter
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"""
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from collections import namedtuple
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from typing import NamedTuple
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class FromTo(NamedTuple):
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from_factor: float
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to_factor: float
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from_to = namedtuple("from_to", "from_ to")
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TYPE_CONVERSION = {
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"millimeter": "mm",
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@ -40,14 +44,14 @@ TYPE_CONVERSION = {
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}
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METRIC_CONVERSION = {
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"mm": from_to(0.001, 1000),
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"cm": from_to(0.01, 100),
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"m": from_to(1, 1),
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"km": from_to(1000, 0.001),
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"in": from_to(0.0254, 39.3701),
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"ft": from_to(0.3048, 3.28084),
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"yd": from_to(0.9144, 1.09361),
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"mi": from_to(1609.34, 0.000621371),
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"mm": FromTo(0.001, 1000),
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"cm": FromTo(0.01, 100),
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"m": FromTo(1, 1),
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"km": FromTo(1000, 0.001),
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"in": FromTo(0.0254, 39.3701),
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"ft": FromTo(0.3048, 3.28084),
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"yd": FromTo(0.9144, 1.09361),
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"mi": FromTo(1609.34, 0.000621371),
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}
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@ -115,7 +119,11 @@ def length_conversion(value: float, from_type: str, to_type: str) -> float:
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f"Conversion abbreviations are: {', '.join(METRIC_CONVERSION)}"
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)
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raise ValueError(msg)
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return value * METRIC_CONVERSION[new_from].from_ * METRIC_CONVERSION[new_to].to
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return (
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value
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* METRIC_CONVERSION[new_from].from_factor
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* METRIC_CONVERSION[new_to].to_factor
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)
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if __name__ == "__main__":
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@ -19,19 +19,23 @@ REFERENCES :
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-> https://www.unitconverters.net/pressure-converter.html
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"""
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from collections import namedtuple
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from typing import NamedTuple
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class FromTo(NamedTuple):
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from_factor: float
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to_factor: float
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from_to = namedtuple("from_to", "from_ to")
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PRESSURE_CONVERSION = {
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"atm": from_to(1, 1),
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"pascal": from_to(0.0000098, 101325),
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"bar": from_to(0.986923, 1.01325),
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"kilopascal": from_to(0.00986923, 101.325),
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"megapascal": from_to(9.86923, 0.101325),
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"psi": from_to(0.068046, 14.6959),
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"inHg": from_to(0.0334211, 29.9213),
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"torr": from_to(0.00131579, 760),
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"atm": FromTo(1, 1),
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"pascal": FromTo(0.0000098, 101325),
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"bar": FromTo(0.986923, 1.01325),
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"kilopascal": FromTo(0.00986923, 101.325),
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"megapascal": FromTo(9.86923, 0.101325),
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"psi": FromTo(0.068046, 14.6959),
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"inHg": FromTo(0.0334211, 29.9213),
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"torr": FromTo(0.00131579, 760),
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}
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@ -71,7 +75,9 @@ def pressure_conversion(value: float, from_type: str, to_type: str) -> float:
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+ ", ".join(PRESSURE_CONVERSION)
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)
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return (
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value * PRESSURE_CONVERSION[from_type].from_ * PRESSURE_CONVERSION[to_type].to
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value
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* PRESSURE_CONVERSION[from_type].from_factor
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* PRESSURE_CONVERSION[to_type].to_factor
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)
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@ -18,18 +18,22 @@ REFERENCES :
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-> Wikipedia reference: https://en.wikipedia.org/wiki/Cup_(unit)
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"""
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from collections import namedtuple
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from typing import NamedTuple
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class FromTo(NamedTuple):
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from_factor: float
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to_factor: float
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from_to = namedtuple("from_to", "from_ to")
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METRIC_CONVERSION = {
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"cubicmeter": from_to(1, 1),
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"litre": from_to(0.001, 1000),
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"kilolitre": from_to(1, 1),
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"gallon": from_to(0.00454, 264.172),
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"cubicyard": from_to(0.76455, 1.30795),
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"cubicfoot": from_to(0.028, 35.3147),
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"cup": from_to(0.000236588, 4226.75),
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"cubic meter": FromTo(1, 1),
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"litre": FromTo(0.001, 1000),
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"kilolitre": FromTo(1, 1),
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"gallon": FromTo(0.00454, 264.172),
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"cubic yard": FromTo(0.76455, 1.30795),
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"cubic foot": FromTo(0.028, 35.3147),
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"cup": FromTo(0.000236588, 4226.75),
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}
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@ -66,7 +70,11 @@ def volume_conversion(value: float, from_type: str, to_type: str) -> float:
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f"Invalid 'to_type' value: {to_type!r}. Supported values are:\n"
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+ ", ".join(METRIC_CONVERSION)
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)
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return value * METRIC_CONVERSION[from_type].from_ * METRIC_CONVERSION[to_type].to
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return (
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value
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* METRIC_CONVERSION[from_type].from_factor
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* METRIC_CONVERSION[to_type].to_factor
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)
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if __name__ == "__main__":
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@ -39,8 +39,8 @@ Space: O(1)
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from __future__ import annotations
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from collections import namedtuple
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from dataclasses import dataclass
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from typing import NamedTuple
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@dataclass
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@ -50,7 +50,9 @@ class TreeNode:
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right: TreeNode | None = None
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CoinsDistribResult = namedtuple("CoinsDistribResult", "moves excess")
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class CoinsDistribResult(NamedTuple):
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moves: int
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excess: int
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def distribute_coins(root: TreeNode | None) -> int:
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# Validation
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def count_nodes(node: TreeNode | None) -> int:
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"""
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>>> count_nodes(None):
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>>> count_nodes(None)
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0
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"""
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if node is None:
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def count_coins(node: TreeNode | None) -> int:
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"""
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>>> count_coins(None):
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>>> count_coins(None)
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0
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"""
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if node is None:
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@ -1,7 +1,12 @@
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# https://en.m.wikipedia.org/wiki/Electric_power
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from __future__ import annotations
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from collections import namedtuple
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from typing import NamedTuple
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class Result(NamedTuple):
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name: str
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value: float
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def electric_power(voltage: float, current: float, power: float) -> tuple:
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fundamental value of electrical system.
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examples are below:
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>>> electric_power(voltage=0, current=2, power=5)
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result(name='voltage', value=2.5)
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Result(name='voltage', value=2.5)
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>>> electric_power(voltage=2, current=2, power=0)
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result(name='power', value=4.0)
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Result(name='power', value=4.0)
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>>> electric_power(voltage=-2, current=3, power=0)
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result(name='power', value=6.0)
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Result(name='power', value=6.0)
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>>> electric_power(voltage=2, current=4, power=2)
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Traceback (most recent call last):
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...
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...
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ValueError: Power cannot be negative in any electrical/electronics system
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>>> electric_power(voltage=2.2, current=2.2, power=0)
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result(name='power', value=4.84)
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Result(name='power', value=4.84)
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"""
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result = namedtuple("result", "name value")
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if (voltage, current, power).count(0) != 1:
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raise ValueError("Only one argument must be 0")
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elif power < 0:
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"Power cannot be negative in any electrical/electronics system"
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)
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elif voltage == 0:
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return result("voltage", power / current)
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return Result("voltage", power / current)
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elif current == 0:
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return result("current", power / voltage)
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return Result("current", power / voltage)
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elif power == 0:
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return result("power", float(round(abs(voltage * current), 2)))
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return Result("power", float(round(abs(voltage * current), 2)))
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else:
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raise ValueError("Exactly one argument must be 0")
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@ -26,8 +26,8 @@ def pass_and_relaxation(
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cst_bwd: dict,
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queue: PriorityQueue,
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parent: dict,
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shortest_distance: float | int,
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) -> float | int:
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shortest_distance: float,
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) -> float:
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for nxt, d in graph[v]:
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if nxt in visited_forward:
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continue
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@ -7,9 +7,9 @@ from collections.abc import Callable
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def trapezoidal_area(
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fnc: Callable[[int | float], int | float],
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x_start: int | float,
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x_end: int | float,
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fnc: Callable[[float], float],
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x_start: float,
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x_end: float,
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steps: int = 100,
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) -> float:
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"""
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|
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@ -1,4 +1,4 @@
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def decimal_to_fraction(decimal: int | float | str) -> tuple[int, int]:
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def decimal_to_fraction(decimal: float | str) -> tuple[int, int]:
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"""
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Return a decimal number in its simplest fraction form
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>>> decimal_to_fraction(2)
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@ -5,9 +5,9 @@ from collections.abc import Callable
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def line_length(
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fnc: Callable[[int | float], int | float],
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x_start: int | float,
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x_end: int | float,
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fnc: Callable[[float], float],
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x_start: float,
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x_end: float,
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steps: int = 100,
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) -> float:
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"""
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|
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@ -7,9 +7,9 @@ from collections.abc import Callable
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def trapezoidal_area(
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fnc: Callable[[int | float], int | float],
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x_start: int | float,
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x_end: int | float,
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fnc: Callable[[float], float],
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x_start: float,
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x_end: float,
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steps: int = 100,
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) -> float:
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"""
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|
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@ -87,7 +87,7 @@ class Polynomial:
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return Polynomial(self.degree + polynomial_2.degree, coefficients)
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def evaluate(self, substitution: int | float) -> int | float:
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def evaluate(self, substitution: float) -> float:
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"""
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Evaluates the polynomial at x.
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>>> p = Polynomial(2, [1, 2, 3])
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@ -144,7 +144,7 @@ class Polynomial:
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coefficients[i] = self.coefficients[i + 1] * (i + 1)
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return Polynomial(self.degree - 1, coefficients)
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def integral(self, constant: int | float = 0) -> Polynomial:
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def integral(self, constant: float = 0) -> Polynomial:
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"""
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Returns the integral of the polynomial.
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>>> p = Polynomial(2, [1, 2, 3])
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|
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@ -14,10 +14,10 @@ from __future__ import annotations
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def geometric_series(
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nth_term: float | int,
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start_term_a: float | int,
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common_ratio_r: float | int,
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) -> list[float | int]:
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nth_term: float,
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start_term_a: float,
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common_ratio_r: float,
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) -> list[float]:
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"""
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Pure Python implementation of Geometric Series algorithm
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|
@ -48,7 +48,7 @@ def geometric_series(
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"""
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if not all((nth_term, start_term_a, common_ratio_r)):
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return []
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series: list[float | int] = []
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series: list[float] = []
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power = 1
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multiple = common_ratio_r
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for _ in range(int(nth_term)):
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|
|
|
@ -13,7 +13,7 @@ python3 p_series.py
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from __future__ import annotations
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def p_series(nth_term: int | float | str, power: int | float | str) -> list[str]:
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def p_series(nth_term: float | str, power: float | str) -> list[str]:
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"""
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Pure Python implementation of P-Series algorithm
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:return: The P-Series starting from 1 to last (nth) term
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|
|
|
@ -8,7 +8,7 @@ from __future__ import annotations
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from math import pi, pow
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|
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|
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def vol_cube(side_length: int | float) -> float:
|
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def vol_cube(side_length: float) -> float:
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"""
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Calculate the Volume of a Cube.
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>>> vol_cube(1)
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|
|
|
@ -141,7 +141,7 @@ class Matrix:
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@property
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def order(self) -> tuple[int, int]:
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return (self.num_rows, self.num_columns)
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return self.num_rows, self.num_columns
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@property
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def is_square(self) -> bool:
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|
@ -315,7 +315,7 @@ class Matrix:
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]
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)
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def __mul__(self, other: Matrix | int | float) -> Matrix:
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def __mul__(self, other: Matrix | float) -> Matrix:
|
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if isinstance(other, (int, float)):
|
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return Matrix(
|
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[[int(element * other) for element in row] for row in self.rows]
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|
|
|
@ -47,7 +47,7 @@ def subtract(matrix_a: list[list[int]], matrix_b: list[list[int]]) -> list[list[
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raise TypeError("Expected a matrix, got int/list instead")
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|
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|
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def scalar_multiply(matrix: list[list[int]], n: int | float) -> list[list[float]]:
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def scalar_multiply(matrix: list[list[int]], n: float) -> list[list[float]]:
|
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"""
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>>> scalar_multiply([[1,2],[3,4]],5)
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[[5, 10], [15, 20]]
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|
@ -189,9 +189,7 @@ def main() -> None:
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matrix_c = [[11, 12, 13, 14], [21, 22, 23, 24], [31, 32, 33, 34], [41, 42, 43, 44]]
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matrix_d = [[3, 0, 2], [2, 0, -2], [0, 1, 1]]
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print(f"Add Operation, {add(matrix_a, matrix_b) = } \n")
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print(
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f"Multiply Operation, {multiply(matrix_a, matrix_b) = } \n",
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)
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print(f"Multiply Operation, {multiply(matrix_a, matrix_b) = } \n")
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print(f"Identity: {identity(5)}\n")
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print(f"Minor of {matrix_c} = {minor(matrix_c, 1, 2)} \n")
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print(f"Determinant of {matrix_b} = {determinant(matrix_b)} \n")
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|
|
|
@ -1,9 +1,7 @@
|
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from __future__ import annotations
|
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|
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|
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def search_in_a_sorted_matrix(
|
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mat: list[list[int]], m: int, n: int, key: int | float
|
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) -> None:
|
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def search_in_a_sorted_matrix(mat: list[list[int]], m: int, n: int, key: float) -> None:
|
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"""
|
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>>> search_in_a_sorted_matrix(
|
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... [[2, 5, 7], [4, 8, 13], [9, 11, 15], [12, 17, 20]], 3, 3, 5)
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|
|
|
@ -22,7 +22,7 @@ class Matrix:
|
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"""
|
||||
|
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self.row, self.column = row, column
|
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self.array = [[default_value for c in range(column)] for r in range(row)]
|
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self.array = [[default_value for _ in range(column)] for _ in range(row)]
|
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|
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def __str__(self) -> str:
|
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"""
|
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|
@ -54,15 +54,15 @@ class Matrix:
|
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def __repr__(self) -> str:
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return str(self)
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|
||||
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))
|
||||
|
||||
|
||||
|
|
|
@ -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: {}
|
||||
|
|
Loading…
Reference in New Issue
Block a user