Merge pull request #273 from EarlMilktea/fix-invalid-escapes

Fix invalid escape sequences

demos/Time Benchmark.ipynb

@@ -1269,7 +1269,7 @@
     "plt.scatter(x, y,color='grey')  #  Plot all the datapoints\n",
     "c = np.polyfit(np.log(x),np.log(y),1, w=np.sqrt(y))  #  Generate power law fit\n",
     "a = np.linspace(0,max(x),100); b = (math.e**c[1])*a**c[0]\n",
-    "plt.plot(a,b,'-',color='red',label=\"$y = a\\cdot x^{{{:.2f}}}$\".format(c[0]))  # Plot the fit\n",
+    "plt.plot(a,b,'-',color='red',label=r\"$y = a\\cdot x^{{{:.2f}}}$\".format(c[0]))  # Plot the fit\n",
     "plt.ylim(ymin=0); plt.xlim(xmin=0,xmax=max(x)+50); \n",
     "plt.xlabel(\"Gate-count\"); plt.ylabel(\"Time [seconds]\"); plt.legend(loc='upper left');"
    ]

pyzx/gflow.py

@@ -14,7 +14,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-"""
+r"""
  Based on algorithm by Perdrix and Mhalla. Here is the pseudocode from
 dx.doi.org/10.1007/978-3-540-70575-8_70
 

scratchpads/JohnDoodle.ipynb

@@ -6167,7 +6167,7 @@
     "\n",
     "c = np.polyfit(np.log(x),np.log(y),1, w=np.sqrt(y))  #  Generate power law fit\n",
     "a = np.linspace(0,max(x),100); b = (math.e**c[1])*a**c[0]\n",
-    "ax1.plot(a,b,'-',color='red',label=\"$y = a\\cdot x^{{{:.2f}}}$\".format(c[0]))  # Plot the fit\n",
+    "ax1.plot(a,b,'-',color='red',label=r\"$y = a\\cdot x^{{{:.2f}}}$\".format(c[0]))  # Plot the fit\n",
     "\n",
     "ax1.set_ylabel(\"time [s]\")\n",
     "ax1.set_xlabel(\"qubits\")\n",