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Commit fbad85d

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tianyizheng02github-actions
and
github-actions
authored
Delete empty junk file (TheAlgorithms#9062)
* updating DIRECTORY.md * updating DIRECTORY.md * Delete empty junk file * updating DIRECTORY.md * Fix ruff errors * Fix more ruff errors --------- Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com>
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‎DIRECTORY.md‎

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@@ -5,7 +5,6 @@
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* [In Static Equilibrium](arithmetic_analysis/in_static_equilibrium.py)
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* [Intersection](arithmetic_analysis/intersection.py)
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* [Jacobi Iteration Method](arithmetic_analysis/jacobi_iteration_method.py)
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* [Junk](arithmetic_analysis/junk.py)
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* [Lu Decomposition](arithmetic_analysis/lu_decomposition.py)
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* [Newton Forward Interpolation](arithmetic_analysis/newton_forward_interpolation.py)
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* [Newton Method](arithmetic_analysis/newton_method.py)

‎arithmetic_analysis/junk.py‎

Whitespace-only changes.

‎computer_vision/haralick_descriptors.py‎

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@@ -100,7 +100,9 @@ def binarize(image: np.ndarray, threshold: float = 127.0) -> np.ndarray:
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return np.where(image > threshold, 1, 0)
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def transform(image: np.ndarray, kind: str, kernel: np.ndarray = None) -> np.ndarray:
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def transform(
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image: np.ndarray, kind: str, kernel: np.ndarray | None = None
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) -> np.ndarray:
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"""
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Simple image transformation using one of two available filter functions:
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Erosion and Dilation.
@@ -154,7 +156,7 @@ def transform(image: np.ndarray, kind: str, kernel: np.ndarray = None) -> np.nda
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return transformed
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def opening_filter(image: np.ndarray, kernel: np.ndarray = None) -> np.ndarray:
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def opening_filter(image: np.ndarray, kernel: np.ndarray |None= None) -> np.ndarray:
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"""
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Opening filter, defined as the sequence of
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erosion and then a dilation filter on the same image.
@@ -172,7 +174,7 @@ def opening_filter(image: np.ndarray, kernel: np.ndarray = None) -> np.ndarray:
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return transform(transform(image, "dilation", kernel), "erosion", kernel)
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def closing_filter(image: np.ndarray, kernel: np.ndarray = None) -> np.ndarray:
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def closing_filter(image: np.ndarray, kernel: np.ndarray |None= None) -> np.ndarray:
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"""
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Opening filter, defined as the sequence of
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dilation and then erosion filter on the same image.

‎conversions/convert_number_to_words.py‎

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@@ -54,7 +54,7 @@ def max_value(cls, system: str) -> int:
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class NumberWords(Enum):
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ONES: ClassVar = {
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ONES: ClassVar[dict[int, str]] = {
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0: "",
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1: "one",
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2: "two",
@@ -67,7 +67,7 @@ class NumberWords(Enum):
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9: "nine",
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}
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TEENS: ClassVar = {
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TEENS: ClassVar[dict[int, str]] = {
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0: "ten",
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1: "eleven",
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2: "twelve",
@@ -80,7 +80,7 @@ class NumberWords(Enum):
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9: "nineteen",
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}
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TENS: ClassVar = {
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TENS: ClassVar[dict[int, str]] = {
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2: "twenty",
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3: "thirty",
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4: "forty",

‎graphs/tarjans_scc.py‎

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@@ -77,7 +77,7 @@ def create_graph(n, edges):
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n_vertices = 7
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source = [0, 0, 1, 2, 3, 3, 4, 4, 6]
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target = [1, 3, 2, 0, 1, 4, 5, 6, 5]
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edges = [(u, v) foru, vinzip(source, target)]
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edges = list(zip(source, target))
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g = create_graph(n_vertices, edges)
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assert [[5], [6], [4], [3, 2, 1, 0]] == tarjan(g)

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