Repository 'txt_diagnosis'
hg clone https://toolshed.g2.bx.psu.edu/repos/immport-devteam/txt_diagnosis

Changeset 1:b94872d65050 (2020-07-16)
Previous changeset 0:e1f0194cf8fc (2017-02-27)
Commit message:
"planemo upload for repository https://github.com/ImmPortDB/immport-galaxy-tools/tree/master/flowtools/txt_diagnosis commit 41bbf946c933eb16a0a7d0eac7928e7bf7f465ca"
added:
test-data/input_error.txt
test-data/input_noerror.txt
test-data/output_error.txt
test-data/output_noerror.txt
txtDiagnosis.xml
txtdiagnosis.py
removed:
txt_diagnosis/test-data/input_error.txt
txt_diagnosis/test-data/input_noerror.txt
txt_diagnosis/test-data/output_error.txt
txt_diagnosis/test-data/output_noerror.txt
txt_diagnosis/txtDiagnosis.xml
txt_diagnosis/txtdiagnosis.py
b
diff -r e1f0194cf8fc -r b94872d65050 test-data/input_error.txt
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/input_error.txt Thu Jul 16 07:35:26 2020 -0400
b
@@ -0,0 +1,16 @@
+Forward Scatter Side Scatter FITC CD4 PE CD25 PP CD3 APC CD45RA
+289 56 438 0 626 nan
+352 153 30 147 483 386
+383 190 156 228 734 408
+261 62 432 121 598 555
+451 120 537 338 568 nba
+373 104 3 110 621 584
+418 105 561 0 610 562
+358 185 0 292 641 327
+733 970 139 227 293 259
+765 1023 71 239 bkl 253
+762 957 143 158 271 255
+406 191 513 122 646 264
+695 1023 168 251 234 283
+336 178 0 146 128 we
+668 1023 167 306 302 253
b
diff -r e1f0194cf8fc -r b94872d65050 test-data/input_noerror.txt
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/input_noerror.txt Thu Jul 16 07:35:26 2020 -0400
b
@@ -0,0 +1,16 @@
+Forward Scatter Side Scatter FITC CD4 PE CD25 PP CD3 APC CD45RA
+289 56 438 0 626 0
+352 153 30 147 483 386
+383 190 156 228 734 408
+261 62 432 121 598 555
+451 120 537 338 568 111
+373 104 3 110 621 584
+418 105 561 0 610 562
+358 185 0 292 641 327
+733 970 139 227 293 259
+765 1023 71 239 54 253
+762 957 143 158 271 255
+406 191 513 122 646 264
+695 1023 168 251 234 283
+336 178 0 146 128 35
+668 1023 167 306 302 253
b
diff -r e1f0194cf8fc -r b94872d65050 test-data/output_error.txt
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/output_error.txt Thu Jul 16 07:35:26 2020 -0400
b
@@ -0,0 +1,3 @@
+WARNING: line 6 in input_error.txt contains non-numeric results
+WARNING: line 11 in input_error.txt contains non-numeric results
+WARNING: line 15 in input_error.txt contains non-numeric results
b
diff -r e1f0194cf8fc -r b94872d65050 test-data/output_noerror.txt
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/output_noerror.txt Thu Jul 16 07:35:26 2020 -0400
b
@@ -0,0 +1,1 @@
+No errors in the file.
b
diff -r e1f0194cf8fc -r b94872d65050 txtDiagnosis.xml
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/txtDiagnosis.xml Thu Jul 16 07:35:26 2020 -0400
[
@@ -0,0 +1,64 @@
+<tool id="txt_diagnosis" name="Check data" version="1.1+galaxy0" profile="18.01">
+   <description> in txt-converted FCS files</description>
+  <requirements>
+    <requirement type="package" version="0.17.1">pandas</requirement>
+  </requirements>
+  <stdio>
+    <exit_code range="1:" />
+  </stdio>
+  <command><![CDATA[
+    python '$__tool_directory__/txtdiagnosis.py' -i '${input}' -o '${output}' -n '${input.name}'
+  ]]>
+  </command>
+  <inputs>
+    <param format="flowtext" name="input" type="data" label="Text file to check"/>
+  </inputs>
+  <outputs>
+    <data format="txt" name="output" label="Report on ${input.name}"/>
+  </outputs>
+  <tests>
+    <test>
+      <param name="input" value="input_error.txt"/>
+      <output name="output" file="output_error.txt">
+        <assert_contents>
+          <has_text_matching expression="WARNING: line 6 in .* contains non-numeric results"/>
+        </assert_contents>
+      </output>
+    </test>
+    <test>
+      <param name="input" value="input_noerror.txt"/>
+      <output name="output" file="output_noerror.txt">
+        <assert_contents>
+          <has_text text="No errors in the file."/>
+        </assert_contents>
+      </output>
+    </test>
+  </tests>
+  <help><![CDATA[
+   This tool looks for potential errors in txt-converted FCS files.
+-----
+**Input**
+This diagnosis tools reads in text files, and checks that the data is all numeric.
+**Output**
+The output is a report with the errors and corresponding line numbers.
+-----
+**Example**
+*Input*::
+   Marker1 Marker2 Marker3
+   34      45      12
+   NaN     65      10
+   34      45      12
+   33      NaN     10
+   34      45      12
+   33      65      10
+   34      45      12
+   33      65      NaN
+   34      45      12
+   33      65      10
+*Output*::
+   WARNING: line 2 in example_file.txt contains non-numeric results
+   WARNING: line 4 in example_file.txt contains non-numeric results
+   WARNING: line 8 in example_file.txt contains non-numeric results
+  ]]>
+  </help>
+</tool>
b
diff -r e1f0194cf8fc -r b94872d65050 txt_diagnosis/test-data/input_error.txt
--- a/txt_diagnosis/test-data/input_error.txt Mon Feb 27 13:07:11 2017 -0500
+++ /dev/null Thu Jan 01 00:00:00 1970 +0000
b
@@ -1,16 +0,0 @@
-Forward Scatter Side Scatter FITC CD4 PE CD25 PP CD3 APC CD45RA
-289 56 438 0 626 nan
-352 153 30 147 483 386
-383 190 156 228 734 408
-261 62 432 121 598 555
-451 120 537 338 568 nba
-373 104 3 110 621 584
-418 105 561 0 610 562
-358 185 0 292 641 327
-733 970 139 227 293 259
-765 1023 71 239 bkl 253
-762 957 143 158 271 255
-406 191 513 122 646 264
-695 1023 168 251 234 283
-336 178 0 146 128 we
-668 1023 167 306 302 253
b
diff -r e1f0194cf8fc -r b94872d65050 txt_diagnosis/test-data/input_noerror.txt
--- a/txt_diagnosis/test-data/input_noerror.txt Mon Feb 27 13:07:11 2017 -0500
+++ /dev/null Thu Jan 01 00:00:00 1970 +0000
b
@@ -1,16 +0,0 @@
-Forward Scatter Side Scatter FITC CD4 PE CD25 PP CD3 APC CD45RA
-289 56 438 0 626 0
-352 153 30 147 483 386
-383 190 156 228 734 408
-261 62 432 121 598 555
-451 120 537 338 568 111
-373 104 3 110 621 584
-418 105 561 0 610 562
-358 185 0 292 641 327
-733 970 139 227 293 259
-765 1023 71 239 54 253
-762 957 143 158 271 255
-406 191 513 122 646 264
-695 1023 168 251 234 283
-336 178 0 146 128 35
-668 1023 167 306 302 253
b
diff -r e1f0194cf8fc -r b94872d65050 txt_diagnosis/test-data/output_error.txt
--- a/txt_diagnosis/test-data/output_error.txt Mon Feb 27 13:07:11 2017 -0500
+++ /dev/null Thu Jan 01 00:00:00 1970 +0000
b
@@ -1,3 +0,0 @@
-WARNING: line 6 in input_error.txt contains non-numeric results
-WARNING: line 11 in input_error.txt contains non-numeric results
-WARNING: line 15 in input_error.txt contains non-numeric results
b
diff -r e1f0194cf8fc -r b94872d65050 txt_diagnosis/test-data/output_noerror.txt
--- a/txt_diagnosis/test-data/output_noerror.txt Mon Feb 27 13:07:11 2017 -0500
+++ /dev/null Thu Jan 01 00:00:00 1970 +0000
b
@@ -1,1 +0,0 @@
-No errors in the file.
b
diff -r e1f0194cf8fc -r b94872d65050 txt_diagnosis/txtDiagnosis.xml
--- a/txt_diagnosis/txtDiagnosis.xml Mon Feb 27 13:07:11 2017 -0500
+++ /dev/null Thu Jan 01 00:00:00 1970 +0000
[
@@ -1,75 +0,0 @@
-<tool id="txt_diagnosis" name="Check data" version="1.1">
-  <description> in txt-converted FCS files.</description>
-  <requirements>
-    <requirement type="package" version="0.17.1">pandas</requirement>
-  </requirements>
-  <stdio>
-    <exit_code range="1:" />
-  </stdio>
-  <command><![CDATA[
-    python $__tool_directory__/txtdiagnosis.py -i "${input}" -o "${output}" -n "${input.name}"
-  ]]>
-  </command>
-  <inputs>
-    <param format="flowtext" name="input" type="data" label="Text file to check"/>
-  </inputs>
-  <outputs>
-    <data format="txt" name="output" label="Report on ${input.name}"/>
-  </outputs>
-  <tests>
-    <test>
-      <param name="input" value="input_error.txt"/>
-      <output name="output" file="output_error.txt">
-        <assert_contents>
-          <has_text_matching text="WARNING: line 6 in .* contains non-numeric results"/>
-        </assert_contents>
-      </output>
-    </test>
-    <test>
-      <param name="input" value="input_noerror.txt"/>
-      <output name="output" file="output_noerror.txt">
-        <assert_contents>
-          <has_text text="No errors in the file."/>
-        </assert_contents>
-      </output>
-    </test>
-  </tests>
-  <help><![CDATA[
-   This tool looks for potential errors in txt-converted FCS files.
-
------
-
-**Input**
-
-This diagnosis tools reads in text files, and checks that the data is all numeric.
-
-**Output**
-
-The output is a report with the errors and corresponding line numbers.
-
------
-
-**Example**
-
-*Input*::
-
-   Marker1 Marker2 Marker3
-   34      45      12
-   NaN     65      10
-   34      45      12
-   33      NaN     10
-   34      45      12
-   33      65      10
-   34      45      12
-   33      65      NaN
-   34      45      12
-   33      65      10
-
-*Output*::
-
-   WARNING: line 2 in example_file.txt contains non-numeric results
-   WARNING: line 4 in example_file.txt contains non-numeric results
-   WARNING: line 8 in example_file.txt contains non-numeric results
-  ]]>
-  </help>
-</tool>
b
diff -r e1f0194cf8fc -r b94872d65050 txt_diagnosis/txtdiagnosis.py
--- a/txt_diagnosis/txtdiagnosis.py Mon Feb 27 13:07:11 2017 -0500
+++ /dev/null Thu Jan 01 00:00:00 1970 +0000
[
@@ -1,68 +0,0 @@
-#!/usr/bin/env python
-######################################################################
-#                  Copyright (c) 2016 Northrop Grumman.
-#                          All rights reserved.
-######################################################################
-from __future__ import print_function
-from __future__ import division
-import pandas as pd
-from argparse import ArgumentParser
-import sys
-
-
-def is_number(s):
-    try:
-        float(s)
-        return True
-    except ValueError:
-        return False
-
-
-def error_report(input_file, fname, output_file):
-    errors = 0
-    df = pd.read_table(input_file)
-    with open(output_file, "w") as outf:
-        for cols in df.columns.values:
-            if df[cols].count() != len(df[cols]):
-                with open(input_file, "r") as checkfile:
-                    fl = checkfile.readline()
-                    count_lines = 1
-                    for checklines in checkfile:
-                        to_check = checklines.strip().split("\t")
-                        count_lines += 1
-                        for item in to_check:
-                            if not is_number(item):
-                                errors += 1
-                                outf.write(" ".join(["WARNING: line", str(count_lines), "in", fname, "contains non-numeric results\n"]))
-        if errors == 0:
-            outf.write("No errors in the file.\n")
-    return
-
-
-if __name__ == "__main__":
-    parser = ArgumentParser(
-             prog="txtDiagnosis",
-             description="Reports potential errors in text-converted FCS files")
-
-    parser.add_argument(
-            '-i',
-            dest="input_file",
-            required=True,
-            help="File location for the text file.")
-
-    parser.add_argument(
-            '-n',
-            dest="filename",
-            required=True,
-            help="Filename location for the text file.")
-
-    parser.add_argument(
-            '-o',
-            dest="output_file",
-            required=True,
-            help="Name of the output file.")
-
-    args = parser.parse_args()
-
-    error_report(args.input_file, args.filename, args.output_file)
-    sys.exit(0)
b
diff -r e1f0194cf8fc -r b94872d65050 txtdiagnosis.py
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/txtdiagnosis.py Thu Jul 16 07:35:26 2020 -0400
[
@@ -0,0 +1,65 @@
+#!/usr/bin/env python
+######################################################################
+#                  Copyright (c) 2016 Northrop Grumman.
+#                          All rights reserved.
+######################################################################
+import pandas as pd
+from argparse import ArgumentParser
+import sys
+
+
+def is_number(s):
+    try:
+        float(s)
+        return True
+    except ValueError:
+        return False
+
+
+def error_report(input_file, fname, output_file):
+    errors = 0
+    df = pd.read_table(input_file)
+    with open(output_file, "w") as outf:
+        for cols in df.columns.values:
+            if df[cols].count() != len(df[cols]):
+                with open(input_file, "r") as checkfile:
+                    fl = checkfile.readline()
+                    count_lines = 1
+                    for checklines in checkfile:
+                        to_check = checklines.strip().split("\t")
+                        count_lines += 1
+                        for item in to_check:
+                            if not is_number(item):
+                                errors += 1
+                                outf.write(" ".join(["WARNING: line", str(count_lines), "in", fname, "contains non-numeric results\n"]))
+        if errors == 0:
+            outf.write("No errors in the file.\n")
+    return
+
+
+if __name__ == "__main__":
+    parser = ArgumentParser(
+             prog="txtDiagnosis",
+             description="Reports potential errors in text-converted FCS files")
+
+    parser.add_argument(
+            '-i',
+            dest="input_file",
+            required=True,
+            help="File location for the text file.")
+
+    parser.add_argument(
+            '-n',
+            dest="filename",
+            required=True,
+            help="Filename location for the text file.")
+
+    parser.add_argument(
+            '-o',
+            dest="output_file",
+            required=True,
+            help="Name of the output file.")
+
+    args = parser.parse_args()
+
+    error_report(args.input_file, args.filename, args.output_file)