From 6ce0ebbb51c1ff5271b274f89df1d79bfa0461e4 Mon Sep 17 00:00:00 2001
From: allegroai <>
Date: Thu, 22 Sep 2022 20:53:39 +0300
Subject: [PATCH] Unify scalar reporting examples

---
 examples/reporting/scalar_reporting.py        | 12 ++++---
 examples/reporting/single_scalar_reporting.py | 36 -------------------
 2 files changed, 8 insertions(+), 40 deletions(-)
 delete mode 100644 examples/reporting/single_scalar_reporting.py

diff --git a/examples/reporting/scalar_reporting.py b/examples/reporting/scalar_reporting.py
index 74aeedac..ba07df1d 100644
--- a/examples/reporting/scalar_reporting.py
+++ b/examples/reporting/scalar_reporting.py
@@ -11,13 +11,17 @@ def report_scalars(logger):
     """
     # report two scalar series on the same graph
     for i in range(100):
-        logger.report_scalar(title="unified graph", series="series A", iteration=i, value=1./(i+1))
-        logger.report_scalar(title="unified graph", series="series B", iteration=i, value=10./(i+1))
+        logger.report_scalar(title="unified graph", series="series A", iteration=i, value=1. / (i + 1))
+        logger.report_scalar(title="unified graph", series="series B", iteration=i, value=10. / (i + 1))
 
     # report two scalar series on two different graphs
     for i in range(100):
-        logger.report_scalar(title="graph A", series="series A", iteration=i, value=1./(i+1))
-        logger.report_scalar(title="graph B", series="series B", iteration=i, value=10./(i+1))
+        logger.report_scalar(title="graph A", series="series A", iteration=i, value=1. / (i + 1))
+        logger.report_scalar(title="graph B", series="series B", iteration=i, value=10. / (i + 1))
+
+    # report single scalars
+    logger.report_single_value(name="metric A", value=486)
+    logger.report_single_value(name="metric B", value=305.95)
 
 
 def main():
diff --git a/examples/reporting/single_scalar_reporting.py b/examples/reporting/single_scalar_reporting.py
deleted file mode 100644
index c9556a2b..00000000
--- a/examples/reporting/single_scalar_reporting.py
+++ /dev/null
@@ -1,36 +0,0 @@
-# ClearML - Example of manual single value scalars reporting
-#
-from clearml import Task
-
-
-def main():
-    # Connecting ClearML with the current process,
-    # from here on everything is logged automatically
-    task = Task.init(project_name="examples", task_name="Scalar reporting (Single Value)")
-
-    # Get the task logger,
-    # You can also call Task.current_task().get_logger() from anywhere in your code.
-    logger = task.get_logger()
-
-    # report scalars
-    logger.report_single_value(name="metric_A", value=125)
-    logger.report_single_value(name="metric_B", value=305.95)
-    logger.report_single_value(name="metric_C", value=486)
-
-    # force flush reports
-    # If flush is not called, reports are flushed in the background every couple of seconds,
-    # and at the end of the process execution
-    logger.flush(wait=True)
-
-    # get scalars
-    # Getting one metric
-    metric_B = task.get_reported_single_value('metric_B')
-    print('metric_B is', metric_B)
-
-    # Getting all metrics at once
-    metric_all = task.get_reported_single_values()
-    print('All metrics', metric_all)
-
-
-if __name__ == "__main__":
-    main()