Added requirements.txt and Dev container

.devcontainer/Dockerfile

@@ -0,0 +1,21 @@
+# See here for image contents: https://github.com/microsoft/vscode-dev-containers/tree/v0.241.1/containers/python-3/.devcontainer/base.Dockerfile
+
+# [Choice] Python version (use -bullseye variants on local arm64/Apple Silicon): 3, 3.10, 3.9, 3.8, 3.7, 3.6, 3-bullseye, 3.10-bullseye, 3.9-bullseye, 3.8-bullseye, 3.7-bullseye, 3.6-bullseye, 3-buster, 3.10-buster, 3.9-buster, 3.8-buster, 3.7-buster, 3.6-buster
+ARG VARIANT="3.10-bullseye"
+FROM mcr.microsoft.com/vscode/devcontainers/python:0-${VARIANT}
+
+# [Choice] Node.js version: none, lts/*, 16, 14, 12, 10
+ARG NODE_VERSION="none"
+RUN if [ "${NODE_VERSION}" != "none" ]; then su vscode -c "umask 0002 && . /usr/local/share/nvm/nvm.sh && nvm install ${NODE_VERSION} 2>&1"; fi
+
+# [Optional] If your pip requirements rarely change, uncomment this section to add them to the image.
+ COPY requirements.txt /tmp/pip-tmp/
+ RUN pip3 --disable-pip-version-check --no-cache-dir install -r /tmp/pip-tmp/requirements.txt \
+    && rm -rf /tmp/pip-tmp
+
+# [Optional] Uncomment this section to install additional OS packages.
+# RUN apt-get update && export DEBIAN_FRONTEND=noninteractive \
+#     && apt-get -y install --no-install-recommends <your-package-list-here>
+
+# [Optional] Uncomment this line to install global node packages.
+# RUN su vscode -c "source /usr/local/share/nvm/nvm.sh && npm install -g <your-package-here>" 2>&1

.devcontainer/devcontainer.json

@@ -0,0 +1,58 @@
+// For format details, see https://aka.ms/devcontainer.json. For config options, see the README at:
+// https://github.com/microsoft/vscode-dev-containers/tree/v0.241.1/containers/python-3
+{
+	"name": "Python 3",
+	"build": {
+		"dockerfile": "Dockerfile",
+		"context": "..",
+		"args": { 
+			// Update 'VARIANT' to pick a Python version: 3, 3.10, 3.9, 3.8, 3.7, 3.6
+			// Append -bullseye or -buster to pin to an OS version.
+			// Use -bullseye variants on local on arm64/Apple Silicon.
+			"VARIANT": "3.10-bullseye",
+			// Options
+			"NODE_VERSION": "lts/*"
+		}
+	},
+
+	// Configure tool-specific properties.
+	"customizations": {
+		// Configure properties specific to VS Code.
+		"vscode": {
+			// Set *default* container specific settings.json values on container create.
+			"settings": { 
+				"python.defaultInterpreterPath": "/usr/local/bin/python",
+				"python.linting.enabled": true,
+				"python.linting.pylintEnabled": true,
+				"python.formatting.autopep8Path": "/usr/local/py-utils/bin/autopep8",
+				"python.formatting.blackPath": "/usr/local/py-utils/bin/black",
+				"python.formatting.yapfPath": "/usr/local/py-utils/bin/yapf",
+				"python.linting.banditPath": "/usr/local/py-utils/bin/bandit",
+				"python.linting.flake8Path": "/usr/local/py-utils/bin/flake8",
+				"python.linting.mypyPath": "/usr/local/py-utils/bin/mypy",
+				"python.linting.pycodestylePath": "/usr/local/py-utils/bin/pycodestyle",
+				"python.linting.pydocstylePath": "/usr/local/py-utils/bin/pydocstyle",
+				"python.linting.pylintPath": "/usr/local/py-utils/bin/pylint"
+			},
+			
+			// Add the IDs of extensions you want installed when the container is created.
+			"extensions": [
+				"ms-python.python",
+				"ms-python.vscode-pylance"
+			]
+		}
+	},
+
+	// Use 'forwardPorts' to make a list of ports inside the container available locally.
+	// "forwardPorts": [],
+
+	// Use 'postCreateCommand' to run commands after the container is created.
+	// "postCreateCommand": "pip3 install --user -r requirements.txt",
+
+	// Comment out to connect as root instead. More info: https://aka.ms/vscode-remote/containers/non-root.
+	"remoteUser": "vscode",
+	"features": {
+		"git": "latest",
+		"fish": "latest"
+	}
+}

requirements.txt

@@ -0,0 +1,3 @@
+argparse
+numpy
+tabulate

schedTests/HyperbolicBound.py

@@ -12,15 +12,11 @@ import include.TasksHelper as TH
 # C_i is accessed as: tasks[i][2]
 # The number of tasks can be accessed as: tasks.shape[0]
 
-
 #The sufficient Test for the Hyperbolic bound
 def test(tasks):
-    """ The Hyperbolic bound is given as Π(U + 1) of all tasks: """
+
-    # compute the hyperbolic bound as product of the U_factor of each task + 1
+    #####################
-    hb = 1
+    #YOUR CODE GOES HERE#
-    for i in range(tasks.shape[0]): # len(tasks) is 10
+    #####################
-        hb *= (TH.C_i(tasks, i) / TH.P_i(tasks, i)) + 1
+
-    # compare this computed bound to 2.0
+    return False
-    # if greater then no guaranty of schedulability
-    # otherwise task set is schedulable
-    return hb <= 2.0

schedTests/LiuAndLaylandBound.py

@@ -14,14 +14,9 @@ import include.TasksHelper as TH
 
 #The necessary Test for the Liu and Layland Bound
 def test(tasks):
-    n = tasks.shape[0]
-    U = TH.getTotalUtilization(tasks=tasks, NrTasks=n)
-    U_lub = n * ((2 ** (1 / n)) - 1)
-    
-    # for fewer tasks than 10, we use the exact computed least upper bound
-   #  if n < 10:
-   #     return U <= U_lub
 
-    # from 10 tasks up unlimited, we use the limes of n(2 ** 1/n - 1)
+    #####################
-    return U <= U_lub # np.log(2) 
+    #YOUR CODE GOES HERE#
+    #####################
 
+    return False

schedTests/TimeDemandAnalysis.py

@@ -13,39 +13,15 @@ import include.TasksHelper as TH
 # C_i is accessed as: tasks[i][2]
 # The number of tasks can be accessed as: tasks.shape[0]
 
-# The Time Demand Analysis Test
+#The Time Demand Analysis Test
-set_num = 0
-
 def test(tasks):
-    # Sorting Taskset by Period/Deadline
+    #Sorting Taskset by Period/Deadline
-    # This makes implementing TDA a lot easier
+    #This makes implementing TDA a lot easier
     shape = tasks.shape
     sortedtasks = tasks[tasks[:, 0].argsort()]
-    
-    # For each tasks in the ordered set
 
-    # calculate the time points for the demand function
+    #####################
-    t_old = 10**-3
+    #YOUR CODE GOES HERE#
-    i = 0
+    #####################
 
-    while True:
+    return False
-        t_new = workload_func(sortedtasks, i, t_old)
-        # if the workload of task i exceeds the deadline
-        if t_new > TH.D_i(sortedtasks, i):
-            return False # task not schedulable
-
-        if t_new == t_old:
-            i += 1
-            t_old = 10**-3
-            #  chech array out of bounds
-            if i == len(sortedtasks):
-                return True
-        t_old = t_new
-    
-
-
-def workload_func(tasks, i, t):
-    sum = 0
-    for k in range(i):
-        sum += math.ceil(t / TH.P_i(tasks, k)) * TH.C_i(tasks, k)
-    return TH.C_i(tasks, i) + sum