Merge pull request #367 from incf-nidash/prune-imports

Remove redundant imports

Author: yarikoptic

src/nidm/experiment/Query.py

@@ -200,8 +200,6 @@ def GetProjectLocation(nidm_file_list, project_uuid, output_file=None):  # noqa:
 
 
 def testprojectmeta(nidm_file_list):
-    import json
-
     query = """
          prefix nidm: <http://purl.org/nidash/nidm#>
          prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>
@@ -229,8 +227,6 @@ def testprojectmeta(nidm_file_list):
 
 
 def GetProjectSessionsMetadata(nidm_file_list, project_uuid):
-    import json
-
     query = (
         """
 

src/nidm/experiment/tools/nidm_affinity_propagation.py

@@ -393,10 +393,6 @@ def ap():
 
 def opencsv(data):
     """saves a list of lists as a csv and opens"""
-    import csv
-    import os
-    import tempfile
-
     handle, fn = tempfile.mkstemp(suffix=".csv")
     with os.fdopen(
         handle, "w", encoding="utf8", errors="surrogateescape", newline=""

src/nidm/experiment/tools/nidm_agglomerative_clustering.py

@@ -381,10 +381,6 @@ def ac():
 
 def opencsv(data):
     """saves a list of lists as a csv and opens"""
-    import csv
-    import os
-    import tempfile
-
     handle, fn = tempfile.mkstemp(suffix=".csv")
     with os.fdopen(
         handle, "w", encoding="utf8", errors="surrogateescape", newline=""

src/nidm/experiment/tools/nidm_gmm.py

@@ -558,10 +558,6 @@ def cluster_number():
 
 def opencsv(data):
     """saves a list of lists as a csv and opens"""
-    import csv
-    import os
-    import tempfile
-
     handle, fn = tempfile.mkstemp(suffix=".csv")
     with os.fdopen(
         handle, "w", encoding="utf8", errors="surrogateescape", newline=""

src/nidm/experiment/tools/nidm_kmeans.py

@@ -1,6 +1,7 @@
 import csv
 import os
 import tempfile
+import warnings
 import click
 import matplotlib.pyplot as plt
 import numpy as np
@@ -548,8 +549,6 @@ def cluster_number():
         plt.show()
 
     if "ca" in cm.lower():
-        import warnings
-
         warnings.filterwarnings(
             "ignore", category=FutureWarning
         )  # it is a function for 0.24 but says it is deprecated in 0.23
@@ -646,10 +645,6 @@ def cluster_number():
 
 def opencsv(data):
     """saves a list of lists as a csv and opens"""
-    import csv
-    import os
-    import tempfile
-
     handle, fn = tempfile.mkstemp(suffix=".csv")
     with os.fdopen(
         handle, "w", encoding="utf8", errors="surrogateescape", newline=""

src/nidm/experiment/tools/nidm_linreg.py

@@ -35,6 +35,7 @@
 import os
 from statistics import mean
 import tempfile
+import warnings
 import click
 import numpy as np
 import pandas as pd
@@ -434,8 +435,6 @@ def dataparsing():  # The data is changed to a format that is usable by the line
             "\nYour data set has less than 20 points, which means the model calculated may not be accurate due to a lack of data. "
         )
         print("This means you cannot regularize the data either.")
-        import warnings
-
         warnings.filterwarnings("ignore")
         answer = input("Continue anyways? Y or N: ")
         if o is not None:
@@ -893,10 +892,6 @@ def regularizing():
 
 def opencsv(data):
     """saves a list of lists as a csv and opens"""
-    import csv
-    import os
-    import tempfile
-
     handle, fn = tempfile.mkstemp(suffix=".csv")
     with os.fdopen(
         handle, "w", encoding="utf8", errors="surrogateescape", newline=""

src/nidm/experiment/tools/rest_statistics.py

@@ -1,7 +1,6 @@
 import sys
 from nidm.core import Constants
 from nidm.experiment import Navigate
-import nidm.experiment.Navigate
 import nidm.experiment.tools.rest
 
 
@@ -34,7 +33,7 @@ def GetProjectsComputedMetadata(nidm_file_list):
 
             for a in activities:
                 data = Navigate.getActivityData(tuple(nidm_file_list), a)
-                if type(data) == nidm.experiment.Navigate.ActivityData:
+                if type(data) == Navigate.ActivityData:
                     for x in data.data:
                         if x.isAbout == Constants.NIDM_IS_ABOUT_AGE:
                             if (