Rename substrings_to_isolate -> isolate

_2018/alt_calc.py

@@ -16,7 +16,7 @@ def apply_function_to_points(point_func, mobject):
 
 def get_nested_one_plus_one_over_x(n_terms, bottom_term="x"):
     tex = "1+ {1 \\over" * n_terms + bottom_term + "}" * n_terms
-    return TexMobject(tex, substrings_to_isolate=["1", "\\over", bottom_term])
+    return TexMobject(tex, isolate=["1", "\\over", bottom_term])
 
 
 def get_phi_continued_fraction(n_terms):

_2018/div_curl.py

@@ -2963,7 +2963,7 @@ class PhaseSpaceOfPopulationModel(ShowTwoPopulations, PiCreatureScene, MovingCam
         dot = Dot(point)
 
         coord_pair = TexMobject(
-            "(10, 10)", substrings_to_isolate=["10"]
+            "(10, 10)", isolate=["10"]
         )
         pop_sizes = VGroup(Integer(10), Integer(10))
         pop_sizes[0].set_color(GREY_B)
@@ -3174,7 +3174,7 @@ class PhaseSpaceOfPopulationModel(ShowTwoPopulations, PiCreatureScene, MovingCam
                 {dYY \\over dt} =
                 YY \\cdot (\\delta X - \\gamma)
             """,
-            substrings_to_isolate=variables
+            isolate=variables
         )
         animals = [self.get_rabbit(), self.get_fox().flip()]
         for char, animal in zip(variables, animals):
@@ -3770,7 +3770,7 @@ class DivergenceTinyNudgesView(MovingCameraScene):
         substrings = ["Step", "Difference"]
         dot_product = TextMobject(
             "(Step) $\\cdot$ (Difference)",
-            substrings_to_isolate=substrings,
+            isolate=substrings,
             arg_separator="",
         ).scale(sf)
         group = VGroup(div_text, dot_product)

_2019/bayes/footnote.py

@@ -20,7 +20,7 @@ def get_bayes_formula():
             "A": YELLOW,
             "B": BLUE,
         },
-        substrings_to_isolate=list("P(|)")
+        isolate=list("P(|)")
     )
 
 
@@ -677,7 +677,7 @@ class TemptingFormula(ShowTwoPerspectives, RandomnessVsProportions):
         # Show venn diagram
         kw = {
             "tex_to_color_map": TEX_TO_COLOR_MAP,
-            "substrings_to_isolate": list("P()"),
+            "isolate": list("P()"),
         }
         formula = VGroup(
             TexMobject("P(A \\text{ and } B)", **kw),
@@ -1017,7 +1017,7 @@ class DiseaseBayes(Scene):
                 "D": YELLOW,
                 "+": BLUE,
             },
-            substrings_to_isolate=list("P(|)=")
+            isolate=list("P(|)=")
         )
         formula.scale(2.5)
 

_2019/bayes/part1.py

@@ -20,7 +20,7 @@ def get_bayes_formula(expand_denominator=False):
         "{\\neg H}": NOT_HYPOTHESIS_COLOR,
         "{E}": EVIDENCE_COLOR1,
     }
-    substrings_to_isolate = ["P", "\\over", "=", "\\cdot", "+"]
+    isolate = ["P", "\\over", "=", "\\cdot", "+"]
 
     tex = "P({H} | {E}) = {P({H}) P({E} | {H}) \\over "
     if expand_denominator:
@@ -31,7 +31,7 @@ def get_bayes_formula(expand_denominator=False):
     formula = TexMobject(
         tex,
         tex_to_color_map=t2c,
-        substrings_to_isolate=substrings_to_isolate,
+        isolate=isolate,
     )
 
     formula.posterior = formula[:6]
@@ -4184,7 +4184,7 @@ class GlimpseOfNextVideo(GraphScene):
                 "H": HYPOTHESIS_COLOR,
                 "E": EVIDENCE_COLOR1,
             },
-            substrings_to_isolate=list("p(|)")
+            isolate=list("p(|)")
         )
         formula.move_to(self.formula_position)
         return formula
@@ -4558,7 +4558,7 @@ class MassOfEarthEstimates(GlimpseOfNextVideo):
                 "M": HYPOTHESIS_COLOR,
                 "\\text{data}": EVIDENCE_COLOR1,
             },
-            substrings_to_isolate=list("p(|)")
+            isolate=list("p(|)")
         )
         formula.move_to(self.formula_position)
         return formula

_2019/diffyq/part1/wordy_scenes.py

@@ -83,7 +83,7 @@ class StrogatzQuote(Scene):
             """ + author,
             alignment="",
             arg_separator=" ",
-            substrings_to_isolate=[law_words, language_words, author]
+            isolate=[law_words, language_words, author]
         )
         quote.law_part = quote.get_part_by_tex(law_words)
         quote.language_part = quote.get_part_by_tex(language_words)

_2019/windmill.py

@@ -3704,7 +3704,7 @@ class TerryTaoQuote(Scene):
             """,
             alignment="",
             arg_separator=" ",
-            substrings_to_isolate=[story_words]
+            isolate=[story_words]
         )
         quote.story_part = quote.get_part_by_tex(story_words)
         quote.set_width(FRAME_WIDTH - 2.5)

_2020/med_test.py

@@ -5820,7 +5820,7 @@ class DisambiguateFPR(Scene):
         # Add title
         title = TextMobject(
             "1\\% False Positive Rate",
-            substrings_to_isolate=["F", "P", "R"],
+            isolate=["F", "P", "R"],
             font_size=72
         )
         title.to_edge(UP)