Fixes typo

MoseleyBioinformaticsLab · Jun 11, 2024 · 4ec54d2 · 4ec54d2
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diff --git a/docs/notebook/tutorial.ipynb b/docs/notebook/tutorial.ipynb
@@ -144,7 +144,7 @@
     "\n",
     "The CPU utilization includes the system core count field which is the total number of cores available system-wide. Utilization is measured for the main process, its descendents, the main process and its descendents combined, and CPU utilization across the entire system. The sum percent is the sum of the percentages of all the cores being used. The hardware percent is that divided by the expected number of cores being used i.e. the optional `n_expected_cores` parameter (defaults to the number of cores in the entire system) for the main, descendents, and combined measurements. For the system measurements, hardware percent is divided by the total number of cores in the system regardless of the value of `n_expected_cores`. The max percent is the highest percentage detected through the duration of tracking while the mean percent is the average of all the percentages detected over that duration. The CPU utilization concludes with the maximum number of threads used at any time for the main process and the sum of the threads used across its descendent processes and combined.\n",
     "\n",
-    "The GPU utilization is similar to the CPU utilization but rather than being based on utilization of processes, it can only measure the utilization percentages of the GPUs themselves, regardless of what processes are using them. To ameliorate this limiation, the optional `gpu_uuids` parameter can be set to specify which GPUs to measure utilization for (defaults to all the GPUs in the system). The system GPU count is the total number of GPUs in the system.  The sum percent is the sum of all the percentages of these GPUs and the hardware percent is that divided by the expected number of GPUs being used (i.e. `len(gpu_uuids)`). Likewise with CPU utilization, the max and mean of both the sum and hardware percentages are provided.\n",
+    "The GPU utilization is similar to the CPU utilization but rather than being based on utilization of processes, it can only measure the utilization percentages of the GPUs themselves, regardless of what processes are using them. To ameliorate this limitation, the optional `gpu_uuids` parameter can be set to specify which GPUs to measure utilization for (defaults to all the GPUs in the system). The system GPU count is the total number of GPUs in the system.  The sum percent is the sum of all the percentages of these GPUs and the hardware percent is that divided by the expected number of GPUs being used (i.e. `len(gpu_uuids)`). Likewise with CPU utilization, the max and mean of both the sum and hardware percentages are provided.\n",
     "\n",
     "The compute time is the real time that the computational-resource tracking lasted (as compared to CPU time)."
    ]
@@ -1189,7 +1189,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.12"
+   "version": "3.12.2"
   }
  },
  "nbformat": 4,

diff --git a/docs/tutorial.rst b/docs/tutorial.rst
@@ -148,7 +148,7 @@ processes and combined.
 The GPU utilization is similar to the CPU utilization but rather than
 being based on utilization of processes, it can only measure the
 utilization percentages of the GPUs themselves, regardless of what
-processes are using them. To ameliorate this limiation, the optional
+processes are using them. To ameliorate this limitation, the optional
 ``gpu_uuids`` parameter can be set to specify which GPUs to measure
 utilization for (defaults to all the GPUs in the system). The system GPU
 count is the total number of GPUs in the system. The sum percent is the