Improve: Start with import usearch

Author: ashvardanian

python/scripts/bench.py

@@ -5,6 +5,7 @@
 import numpy as np
 import pandas as pd
 
+import usearch
 from usearch.index import Index, Key, MetricKind, ScalarKind
 from usearch.numba import jit as njit
 from usearch.eval import Evaluation, AddTask

python/scripts/bench_exact.py

@@ -4,6 +4,7 @@
 from faiss import knn, METRIC_L2, METRIC_INNER_PRODUCT
 import fire
 
+import usearch
 from usearch.compiled import hardware_acceleration
 from usearch.eval import random_vectors
 

python/scripts/index_faiss.py

@@ -4,6 +4,7 @@
 import numpy as np
 from faiss import IndexHNSWFlat, IndexIVFPQ, read_index
 
+import usearch
 from usearch.index import BatchMatches
 from usearch.index import (
     DEFAULT_CONNECTIVITY,

python/scripts/join.py

@@ -12,11 +12,13 @@
 rm -rf datasets/cc_3M/*.usearch datasets/arxiv_2M/*.usearch
 python python/scripts/join.py
 """
+
 from numpy import dot
 from numpy.linalg import norm
 from tqdm import tqdm
 from simsimd import cos_f32x4_neon, to_int
 
+import usearch
 from usearch.index import Index, MetricKind, CompiledMetric, MetricSignature
 from usearch.io import load_matrix
 from usearch.eval import measure_seconds
@@ -70,9 +72,7 @@
     b.save()
 
 
-print(
-    f"Loaded two indexes of size: {len(a):,} for {a_name} and {len(b):,} for {b_name}"
-)
+print(f"Loaded two indexes of size: {len(a):,} for {a_name} and {len(b):,} for {b_name}")
 min_elements = min(len(a), len(b))
 
 run_diagnostics = input("Would you like to run diagnostics? [Y/n]: ")
@@ -111,32 +111,16 @@
     )
 
     secs, a_self_recall = dt(lambda: a.search(a.vectors, **args).recall(a.keys))
-    print(
-        "Self-recall @{} of {} index: {:.2f}%, took {:.2f}s".format(
-            count, a_name, a_self_recall * 100, secs
-        )
-    )
+    print("Self-recall @{} of {} index: {:.2f}%, took {:.2f}s".format(count, a_name, a_self_recall * 100, secs))
 
     secs, b_self_recall = dt(lambda: b.search(b.vectors, **args).recall(b.keys))
-    print(
-        "Self-recall @{} of {} index: {:.2f}%, took {:.2f}s".format(
-            count, b_name, b_self_recall * 100, secs
-        )
-    )
+    print("Self-recall @{} of {} index: {:.2f}%, took {:.2f}s".format(count, b_name, b_self_recall * 100, secs))
 
     secs, ab_recall = dt(lambda: b.search(a.vectors, **args).recall(b.keys))
-    print(
-        "Cross-recall @{} of {} in {}: {:.2f}%, took {:.2f}s".format(
-            count, a_name, b_name, ab_recall * 100, secs
-        )
-    )
+    print("Cross-recall @{} of {} in {}: {:.2f}%, took {:.2f}s".format(count, a_name, b_name, ab_recall * 100, secs))
 
     secs, ba_recall = dt(lambda: a.search(b.vectors, **args).recall(a.keys))
-    print(
-        "Cross-recall @{} of {} in {}: {:.2f}%, took {:.2f}s".format(
-            count, b_name, a_name, ba_recall * 100, secs
-        )
-    )
+    print("Cross-recall @{} of {} in {}: {:.2f}%, took {:.2f}s".format(count, b_name, a_name, ba_recall * 100, secs))
 
 
 print("--------------------------------------")
@@ -150,6 +134,4 @@
     recall += i == j
 
 recall *= 100.0 / min_elements
-print(
-    f"Took {secs:.2f}s to find {mapping_size:,} pairings with {recall:.2f}% being exact"
-)
+print(f"Took {secs:.2f}s to find {mapping_size:,} pairings with {recall:.2f}% being exact")

python/scripts/test_distances.py

@@ -1,6 +1,7 @@
 import pytest
 import numpy as np
 
+import usearch
 from usearch.eval import random_vectors
 from usearch.index import search
 

python/scripts/test_index.py

@@ -4,9 +4,8 @@
 import pytest
 import numpy as np
 
+import usearch
 from usearch.eval import random_vectors, self_recall, SearchStats
-from usearch.index import search
-
 from usearch.index import (
     Index,
     MetricKind,

python/scripts/test_jit.py

@@ -1,8 +1,8 @@
 import pytest
 import numpy as np
 
+import usearch
 from usearch.eval import random_vectors
-
 from usearch.index import (
     Index,
     MetricKind,

python/scripts/test_sparse.py

@@ -1,6 +1,7 @@
 import pytest
 import numpy as np
 
+import usearch
 from usearch.index import (
     Index,
     MetricKind,

python/scripts/test_sqlite.py

@@ -1,7 +1,6 @@
 import sqlite3
 import json
 import math
-import sys
 
 import numpy as np
 import pytest

python/scripts/test_tooling.py

@@ -3,10 +3,10 @@
 import pytest
 import numpy as np
 
+import usearch
 from usearch.io import load_matrix, save_matrix
 from usearch.index import search
 from usearch.eval import random_vectors
-
 from usearch.index import Match, Matches, BatchMatches, Index, Indexes
 
 
@@ -70,9 +70,7 @@ def test_exact_search(rows: int, cols: int, k: int, reordered: bool):
         reordered_keys = keys
 
     matches: BatchMatches = search(original, original[reordered_keys], k, exact=True)
-    top_matches = (
-        [int(m.keys[0]) for m in matches] if rows > 1 else [int(matches.keys[0])]
-    )
+    top_matches = [int(m.keys[0]) for m in matches] if rows > 1 else [int(matches.keys[0])]
     assert top_matches == list(reordered_keys)
 
     matches: Matches = search(original, original[-1], k, exact=True)