pointblank - pypi Package Compare versions

Comparing version 0.16.0 to 0.17.0

tests/conftest.py

+import polars as pl
+import pytest
+
+
[e-mail]
+def half_null_ser() -> pl.Series:
+    """A 1k element half null series. Exists to get around rounding issues."""
+    data = [None if i % 2 == 0 else i for i in range(1000)]
+    return pl.Series("half_null", data)

.vscode/settings.json

@@ -18,2 +18,5 @@ {
   },
+  "[markdown]": {
+    "editor.formatOnSave": false
+  },
   "python.testing.pytestArgs": ["tests"],
@@ -20,0 +23,0 @@ "python.testing.unittestEnabled": false,

docs/_quarto.yml

@@ -176,2 +176,3 @@ project:
         - name: Validate.col_exists
+        - name: Validate.col_pct_null
         - name: Validate.col_schema_match
@@ -178,0 +179,0 @@ - name: Validate.row_count_match

docs/llms.txt

@@ -57,2 +57,3 @@ # Pointblank
 - [Validate.col_exists](https://posit-dev.github.io/pointblank/reference/Validate.col_exists.html): Validate whether one or more columns exist in the table.
+- [Validate.col_pct_null](https://posit-dev.github.io/pointblank/reference/Validate.col_pct_null.html): Validate whether a column has a specific percentage of Null values.
 - [Validate.rows_distinct](https://posit-dev.github.io/pointblank/reference/Validate.rows_distinct.html): Validate whether rows in the table are distinct.
@@ -59,0 +60,0 @@ - [Validate.col_schema_match](https://posit-dev.github.io/pointblank/reference/Validate.col_schema_match.html): Do columns in the table (and their types) match a predefined schema?

Makefile

@@ -5,3 +5,3 @@ .PHONY: check
 test:
-	@uv run pytest \
+	@uv run pytest tests \
 		--cov=pointblank \
@@ -12,7 +12,26 @@ --cov-report=term-missing \
 		--reruns 3 \
-		--reruns-delay 1
+		--reruns-delay 1 \
+		--doctest-modules pointblank \
+		--durations 10
 
+.PHONY: test-core
+test-core: ## Run core libraries only; useful for local CI
+	@SKIP_PYSPARK_TESTS=1 \
+		SKIP_SQLITE_TESTS=1 \
+		SKIP_PARQUET_TESTS=1 \
+		uv run pytest \
+		--cov=pointblank \
+		--cov-report=term-missing \
+		--randomly-seed 123 \
+		-n auto \
+		--durations=10
+
+
 test-update:
 	pytest --snapshot-update
 
+.PHONY: pre-commit
+pre-commit: ## Run pre-commit hooks
+	@uvx pre-commit run --all-files
+
 .PHONY: lint
@@ -19,0 +38,0 @@ lint: ## Run ruff formatter and linter

PKG-INFO

 Metadata-Version: 2.4
 Name: pointblank
-Version: 0.16.0
+Version: 0.17.0
 Summary: Find out if your data is what you think it is.
@@ -98,2 +98,7 @@ Author-email: Richard Iannone <[e-mail]>
 
+> [!TIP]
+> **📺 Featured Talk: ['Making Things Nice in Python'](https://www.youtube.com/watch?v=J6e2BKjHyPg)**
+>
+> Discover how Pointblank and Great Tables (used in this library) prioritize user experience in Python package design. I go over why convenient options, extensive documentation, and thoughtful API decisions is better for everyone (even when they challenge conventional Python patterns/practices).
+
 <div align="center">
@@ -100,0 +105,0 @@

pointblank.egg-info/PKG-INFO

 Metadata-Version: 2.4
 Name: pointblank
-Version: 0.16.0
+Version: 0.17.0
 Summary: Find out if your data is what you think it is.
@@ -98,2 +98,7 @@ Author-email: Richard Iannone <[e-mail]>
 
+> [!TIP]
+> **📺 Featured Talk: ['Making Things Nice in Python'](https://www.youtube.com/watch?v=J6e2BKjHyPg)**
+>
+> Discover how Pointblank and Great Tables (used in this library) prioritize user experience in Python package design. I go over why convenient options, extensive documentation, and thoughtful API decisions is better for everyone (even when they challenge conventional Python patterns/practices).
+
 <div align="center">
@@ -100,0 +105,0 @@

pointblank.egg-info/SOURCES.txt

@@ -247,2 +247,3 @@ .gitignore
 tests/__init__.py
+tests/conftest.py
 tests/test__interrogation.py
@@ -249,0 +250,0 @@ tests/test__utils.py

pointblank/_utils_llms_txt.py

@@ -107,2 +107,3 @@ import inspect
         "Validate.col_exists",
+        "Validate.col_pct_null",
         "Validate.col_schema_match",
@@ -109,0 +110,0 @@ "Validate.row_count_match",

pointblank/yaml.py

@@ -192,7 +192,10 @@ from __future__ import annotations
     --------
-    >>> _process_python_expressions({"python": "pl.scan_csv('data.csv').head(10)"})
     # Returns the result of the Python expression
+    >>> import polars as pl
+    >>> expr = _process_python_expressions({"python": "pl.scan_csv('data.csv').head(10)"})
+    >>> assert isinstance(expr, pl.LazyFrame)
 
-    >>> _process_python_expressions({"python": "import polars as pl\\npl.scan_csv('data.csv')"})
     # Returns the result of multiline Python code
+    >>> expr = _process_python_expressions({"python": "import polars as pl\\npl.scan_csv('data.csv')"})
+    >>> assert isinstance(expr, pl.LazyFrame)
     """
@@ -199,0 +202,0 @@ if isinstance(value, dict):

README.md

@@ -0,1 +1,6 @@
+> [!TIP]
+> **📺 Featured Talk: ['Making Things Nice in Python'](https://www.youtube.com/watch?v=J6e2BKjHyPg)**
+>
+> Discover how Pointblank and Great Tables (used in this library) prioritize user experience in Python package design. I go over why convenient options, extensive documentation, and thoughtful API decisions is better for everyone (even when they challenge conventional Python patterns/practices).
+
 <div align="center">
@@ -2,0 +7,0 @@

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Improved metrics

Total package byte prevSize

97013363

0.2%

Number of package files

445

0.23%

Lines of code

76132

4.18%