rustlib

Pipfile

@@ -5,9 +5,9 @@ name = "pypi"
 
 [packages]
 randonautentropy = "*"
-lyagushka = {path = "./lyagushka-0.1.0-py2.py3-none-any.whl"}
 questionary = "*"
 rich = "*"
+lyagushka = {file = "lyagushka-1.1.0-cp312-cp312-manylinux_2_34_x86_64.whl"}
 
 [dev-packages]
 

Pipfile.lock

@@ -1,7 +1,7 @@
 {
     "_meta": {
         "hash": {
-            "sha256": "975d223f73786424995bf72970bca39972d5a8f95ea6a1d0a4e369db83d38834"
+            "sha256": "cf9f89003981e50e50317271f9598d64babff7a25b7099496a12eab7532f09e2"
         },
         "pipfile-spec": 6,
         "requires": {
@@ -131,10 +131,10 @@
             "version": "==3.10"
         },
         "lyagushka": {
+            "file": "lyagushka-1.1.0-cp312-cp312-manylinux_2_34_x86_64.whl",
             "hashes": [
-                "sha256:cd9530f3b12d048e3549573c5afd383bc3498a1ee780b7daeb3640114d3e8fbd"
-            ],
-            "path": "./lyagushka-0.1.0-py2.py3-none-any.whl"
+                "sha256:13df3298ca22f2a8b3022ae9af6f1072d22d496826200bf57852f1a1584f44b2"
+            ]
         },
         "markdown-it-py": {
             "hashes": [
@@ -162,11 +162,11 @@
         },
         "pygments": {
             "hashes": [
-                "sha256:4755e6e64d22161d5b61432c0600c923c5927214e7c956e31c23923c89251a9b",
-                "sha256:afc4146269910d4bdfabcd27c24923137a74d562a23a320a41a55ad303e19783"
+                "sha256:61c16d2a8576dc0649d9f39e089b5f02bcd27fba10d8fb4dcc28173f7a45151f",
+                "sha256:9ea1544ad55cecf4b8242fab6dd35a93bbce657034b0611ee383099054ab6d8c"
             ],
             "markers": "python_version >= '3.8'",
-            "version": "==2.19.0"
+            "version": "==2.19.1"
         },
         "questionary": {
             "hashes": [

main.py

@@ -5,6 +5,7 @@ import questionary
 from rich.console import Console
 from rich.text import Text
 from rich.progress import Progress, TextColumn, BarColumn
+from pprint import pprint
 
 def generate_random_data(size=1024, max_value=100):
 
@@ -26,11 +27,13 @@ def generate_random_data(size=1024, max_value=100):
     return random_data
 
 def pull_number(numbers: set, top: int, amount: int):
-    dataset = generate_random_data(444, top-1)
+    dataset = generate_random_data(top, top-1)
     dataset.sort()
+    pprint(dataset)
     # calculate the anomalies in the data
     zhaba = Lyagushka(dataset)
-    analysis_results = json.loads(zhaba.search(4.0, 10))
+    analysis_results = json.loads(zhaba.search(1.0, 3))
+    pprint(analysis_results)
     pick = [obj for obj in analysis_results if obj['num_elements'] == max(obj['num_elements'] for obj in analysis_results)]
     for p in pick:
         if len(numbers) < amount: