rename tests

Author: portellaa

tests/backends/spark_backend/test_correlations_spark.py

@@ -1,17 +1,17 @@
 import pandas as pd
 import pytest
 
-from ydata_profiling.config import Settings
-from ydata_profiling.model.pandas.correlations_pandas import (
+from data_profiling.config import Settings
+from data_profiling.model.pandas.correlations_pandas import (
     pearson_compute as pandas_pearson_compute,
 )
-from ydata_profiling.model.pandas.correlations_pandas import (
+from data_profiling.model.pandas.correlations_pandas import (
     spearman_compute as pandas_spearman_compute,
 )
-from ydata_profiling.model.spark.correlations_spark import (
+from data_profiling.model.spark.correlations_spark import (
     pearson_compute as spark_pearson_compute,
 )
-from ydata_profiling.model.spark.correlations_spark import (
+from data_profiling.model.spark.correlations_spark import (
     spearman_compute as spark_spearman_compute,
 )
 
@@ -78,7 +78,7 @@ def test_pearson_spark(correlation_data_num, correlation_var_types):
 
 
 def test_kendall_spark(correlation_data_cat):
-    from ydata_profiling.model.spark.correlations_spark import kendall_compute
+    from data_profiling.model.spark.correlations_spark import kendall_compute
 
     cfg = Settings()
 

tests/backends/spark_backend/test_descriptions_spark.py

@@ -5,10 +5,10 @@
 import pandas as pd
 import pytest
 
-from ydata_profiling.config import SparkSettings
-from ydata_profiling.model.describe import describe
+from data_profiling.config import SparkSettings
+from data_profiling.model.describe import describe
 
-check_is_NaN = "ydata_profiling.check_is_NaN"
+check_is_NaN = "data_profiling.check_is_NaN"
 
 
 @pytest.fixture

tests/backends/spark_backend/test_duplicates.py

@@ -1,8 +1,8 @@
 import pandas as pd
 import pytest
 
-from ydata_profiling.config import Settings
-from ydata_profiling.model.spark.duplicates_spark import get_duplicates_spark
+from data_profiling.config import Settings
+from data_profiling.model.spark.duplicates_spark import get_duplicates_spark
 
 
 @pytest.fixture

tests/backends/spark_backend/test_issue1429.py

@@ -8,15 +8,15 @@
 from pyspark.sql import DataFrame, SparkSession
 from pyspark.sql import types as T
 
-from ydata_profiling import ProfileReport
-from ydata_profiling.config import SparkSettings
-from ydata_profiling.model.spark.describe_counts_spark import describe_counts_spark
-from ydata_profiling.model.spark.describe_generic_spark import describe_generic_spark
-from ydata_profiling.model.spark.describe_numeric_spark import (
+from data_profiling import ProfileReport
+from data_profiling.config import SparkSettings
+from data_profiling.model.spark.describe_counts_spark import describe_counts_spark
+from data_profiling.model.spark.describe_generic_spark import describe_generic_spark
+from data_profiling.model.spark.describe_numeric_spark import (
     describe_numeric_1d_spark,
     numeric_stats_spark,
 )
-from ydata_profiling.model.spark.describe_supported_spark import (
+from data_profiling.model.spark.describe_supported_spark import (
     describe_supported_spark,
 )
 

tests/backends/spark_backend/test_issue1602.py

@@ -5,7 +5,7 @@
 
 from pyspark.sql import types as T
 
-from ydata_profiling import ProfileReport
+from data_profiling import ProfileReport
 
 
 def test_spark_handles_decimal_type(test_output_dir, spark_session):

tests/backends/spark_backend/test_issue1722.py

@@ -8,7 +8,7 @@
 from pyspark.sql import SparkSession
 from pyspark.sql import types as T
 
-from ydata_profiling import ProfileReport
+from data_profiling import ProfileReport
 
 
 def make_non_numeric_df(spark: SparkSession):

tests/backends/spark_backend/test_missing_spark.py

@@ -4,8 +4,8 @@
 import pandas as pd
 import pytest
 
-from ydata_profiling.config import Settings
-from ydata_profiling.model.spark.missing_spark import missing_bar
+from data_profiling.config import Settings
+from data_profiling.model.spark.missing_spark import missing_bar
 
 
 @pytest.fixture

tests/backends/spark_backend/test_report_spark.py

@@ -1,7 +1,7 @@
 import pandas as pd
 import pytest
 
-from ydata_profiling import ProfileReport
+from data_profiling import ProfileReport
 
 
 @pytest.fixture

tests/backends/spark_backend/test_sample_spark.py

@@ -2,8 +2,8 @@
 import pytest
 from pyspark.sql.types import IntegerType, StringType, StructField, StructType
 
-from ydata_profiling.config import Settings
-from ydata_profiling.model.spark.sample_spark import get_sample_spark
+from data_profiling.config import Settings
+from data_profiling.model.spark.sample_spark import get_sample_spark
 
 
 # FIXME: Move to data

tests/conftest.py

@@ -12,10 +12,10 @@
 except ImportError:
     has_spark = False
 
-from ydata_profiling.config import Settings
-from ydata_profiling.model.summarizer import ProfilingSummarizer
-from ydata_profiling.model.typeset import ProfilingTypeSet
-from ydata_profiling.utils.cache import cache_file
+from data_profiling.config import Settings
+from data_profiling.model.summarizer import ProfilingSummarizer
+from data_profiling.model.typeset import ProfilingTypeSet
+from data_profiling.utils.cache import cache_file
 
 
 def pytest_configure(config):