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⬆️🪝 update pre-commit hooks (#48)
<!--pre-commit.ci start--> updates: - [github.com/astral-sh/ruff-pre-commit: v0.7.4 → v0.8.0](astral-sh/ruff-pre-commit@v0.7.4...v0.8.0) - [github.com/henryiii/validate-pyproject-schema-store: 2024.11.18 → 2024.11.22](henryiii/validate-pyproject-schema-store@2024.11.18...2024.11.22) <!--pre-commit.ci end-->
2 parents 27e010c + 806a149 commit ae6ba18

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7 files changed

+168
-159
lines changed

7 files changed

+168
-159
lines changed

‎.pre-commit-config.yaml

+5-5
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@@ -58,7 +58,7 @@ repos:
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# Python linting using ruff
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- repo: https://github.com/astral-sh/ruff-pre-commit
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rev: v0.7.4
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rev: v0.8.1
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hooks:
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- id: ruff
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args: ["--fix", "--show-fixes"]
@@ -86,14 +86,14 @@ repos:
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# Format configuration files with prettier
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- repo: https://github.com/rbubley/mirrors-prettier
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rev: v3.3.3
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rev: v3.4.1
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hooks:
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- id: prettier
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types_or: [yaml, markdown, html, css, scss, javascript, json]
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# Check for spelling
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- repo: https://github.com/crate-ci/typos
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rev: typos-dict-v0.11.35
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rev: v1.28.1
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hooks:
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- id: typos
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@@ -115,14 +115,14 @@ repos:
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# Check JSON schemata
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- repo: https://github.com/python-jsonschema/check-jsonschema
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rev: 0.29.4
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rev: 0.30.0
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hooks:
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- id: check-dependabot
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- id: check-github-workflows
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- id: check-readthedocs
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# Check the pyproject.toml file
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- repo: https://github.com/henryiii/validate-pyproject-schema-store
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rev: 2024.11.18
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rev: 2024.11.25
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hooks:
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- id: validate-pyproject

‎pyproject.toml

+41-44
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@@ -158,54 +158,51 @@ unsafe-fixes = true
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[tool.ruff.lint]
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extend-select = [
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"A", # flake8-builtins
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"ANN", # flake8-annotations
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"ARG", # flake8-unused-arguments
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"ASYNC", # flake8-async
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"B", "B904", # flake8-bugbear
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"C4", # flake8-comprehensions
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# "D", # pydocstyle
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"EM", # flake8-errmsg
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"EXE", # flake8-executable
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"FA", # flake8-future-annotations
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"FLY", # flynt
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"FURB", # refurb
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"I", # isort
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"ICN", # flake8-import-conventions
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"ISC", # flake8-implicit-str-concat
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"LOG", # flake8-logging-format
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"N", # flake8-naming
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"NPY", # numpy
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"PERF", # perflint
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"PGH", # pygrep-hooks
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"PIE", # flake8-pie
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"PL", # pylint
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"PT", # flake8-pytest-style
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"PTH", # flake8-use-pathlib
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"PYI", # flake8-pyi
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"Q", # flake8-quotes
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"RET", # flake8-return
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"RSE", # flake8-raise
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"RUF", # Ruff-specific
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"SLF", # flake8-self
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"SLOT", # flake8-slots
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"SIM", # flake8-simplify
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"TCH", # flake8-type-checking
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"TID251", # flake8-tidy-imports.banned-api
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"TRY", # tryceratops
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"UP", # pyupgrade
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"YTT", # flake8-2020
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"A", # flake8-builtins
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"ANN", # flake8-annotations
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"ARG", # flake8-unused-arguments
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"ASYNC", # flake8-async
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"B", "B904", # flake8-bugbear
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"C4", # flake8-comprehensions
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# "D", # pydocstyle
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"EM", # flake8-errmsg
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"EXE", # flake8-executable
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"FA", # flake8-future-annotations
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"FLY", # flynt
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"FURB", # refurb
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"I", # isort
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"ICN", # flake8-import-conventions
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"ISC", # flake8-implicit-str-concat
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"LOG", # flake8-logging-format
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"N", # flake8-naming
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"NPY", # numpy
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"PERF", # perflint
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"PGH", # pygrep-hooks
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"PIE", # flake8-pie
182+
"PL", # pylint
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"PT", # flake8-pytest-style
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"PTH", # flake8-use-pathlib
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"PYI", # flake8-pyi
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"Q", # flake8-quotes
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"RET", # flake8-return
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"RSE", # flake8-raise
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"RUF", # Ruff-specific
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"SLF", # flake8-self
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"SLOT", # flake8-slots
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"SIM", # flake8-simplify
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"TC", # flake8-type-checking
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"TID251", # flake8-tidy-imports.banned-api
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"TRY", # tryceratops
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"UP", # pyupgrade
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"YTT", # flake8-2020
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]
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ignore = [
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"ANN101", # Missing type annotation for `self` in method
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"ANN102", # Missing type annotation for `cls` in classmethod
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"ISC001", # Conflicts with formatter
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"PLR09", # Too many <...>
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"ISC001", # Conflicts with formatter
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"PLR09", # Too many <...>
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"PLR2004", # Magic value used in comparison
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"PLC0415", # Import should be at top of file
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"PT004", # Incorrect, just usefixtures instead.
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"S101", # Use of assert detected
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"S404", # `subprocess` module is possibly insecure
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"S101", # Use of assert detected
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"S404", # `subprocess` module is possibly insecure
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]
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isort.required-imports = ["from __future__ import annotations"]
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‎scripts/Knapsack/Knapsack.py

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@@ -1,16 +1,17 @@
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from __future__ import annotations
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import locale
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import os
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from pathlib import Path
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from typing import cast
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from typing import TYPE_CHECKING, cast
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import numpy as np
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from sympy import Expr
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# for managing symbols
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from mqt.qao import Constraints, ObjectiveFunction, Problem, Solver, Variables
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12+
if TYPE_CHECKING:
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from sympy import Expr
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lambdas_method = [
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"upper_bound_only_positive",
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"maximum_coefficient",
@@ -44,8 +45,7 @@
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("upper lower bound posiform and negaform method", "binary search penalty algorithm"),
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]
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47-
files = os.listdir("Data/")
48-
for file in files:
48+
for file in Path("Data/").iterdir():
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print(file)
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with Path("./Data/" + file).open("r", encoding=locale.getpreferredencoding(False)) as f:
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lines = f.readlines()
@@ -65,7 +65,7 @@
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variables = Variables()
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obj = variables.add_binary_variables_array("obj", [objects])
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objective_function = ObjectiveFunction()
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objective_function.add_objective_function(cast(Expr, np.dot(np.transpose(obj), p_arr)), minimization=False)
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objective_function.add_objective_function(cast("Expr", np.dot(np.transpose(obj), p_arr)), minimization=False)
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constraint = Constraints()
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constraint.add_constraint(str(np.dot(np.transpose(obj), w_arr)) + " <= " + format(W_max))
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problem = Problem()
@@ -85,7 +85,7 @@
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variables = Variables()
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obj = variables.add_binary_variables_array("obj", [objects])
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objective_function = ObjectiveFunction()
88-
objective_function.add_objective_function(cast(Expr, np.dot(np.transpose(obj), p_arr)), minimization=False)
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objective_function.add_objective_function(cast("Expr", np.dot(np.transpose(obj), p_arr)), minimization=False)
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constraint = Constraints()
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constraint.add_constraint(str(np.dot(np.transpose(obj), w_arr)) + " <= " + format(W_max))
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problem = Problem()

‎scripts/linear_regression/LinearRegression.py

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@@ -1,16 +1,18 @@
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from __future__ import annotations
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3-
from typing import cast
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from typing import TYPE_CHECKING, cast
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import numpy as np
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import pandas as pd
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from sklearn.decomposition import PCA
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from sklearn.utils import shuffle
9-
from sympy import Expr
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# for managing symbols
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from mqt.qao import Constraints, ObjectiveFunction, Problem, Solver, Variables
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13+
if TYPE_CHECKING:
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from sympy import Expr
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df = pd.read_csv("iris_csv.csv")
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df = shuffle(df)
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d = len(df.columns) - 1
@@ -48,7 +50,7 @@
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objective_function = ObjectiveFunction()
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objective_function.add_objective_function(
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cast(
51-
Expr,
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"Expr",
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(
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np.dot(np.dot(np.dot(np.transpose(w), np.transpose(X_training)), X_training), w)
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- 2 * np.dot(np.dot(np.transpose(w), np.transpose(X_training)), Y_training)

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