diff --git a/pylib/anki/consts.py b/pylib/anki/consts.py
index f3d9fd1a9..58af8955b 100644
--- a/pylib/anki/consts.py
+++ b/pylib/anki/consts.py
@@ -16,9 +16,11 @@ NEW_CARDS_DUE = 1
 
 # Queue types
 QUEUE_TYPE_NEW = 0
+QUEUE_TYPE_LRN = 1
 
 # Card types
 CARD_TYPE_NEW = 0
+CARD_TYPE_LRN = 1
 
 # removal types
 REM_CARD = 0
diff --git a/pylib/anki/find.py b/pylib/anki/find.py
index 57a66d03b..45fa8851d 100644
--- a/pylib/anki/find.py
+++ b/pylib/anki/find.py
@@ -273,16 +273,16 @@ select distinct(n.id) from cards c, notes n where c.nid=n.id and """
             elif val == "new":
                 n = CARD_TYPE_NEW
             else:
-                return "queue in (1, 3)"
+                return f"queue in ({QUEUE_TYPE_LRN}, 3)"
             return "type = %d" % n
         elif val == "suspended":
             return "c.queue = -1"
         elif val == "buried":
             return "c.queue in (-2, -3)"
         elif val == "due":
-            return """
+            return f"""
 (c.queue in (2,3) and c.due <= %d) or
-(c.queue = 1 and c.due <= %d)""" % (
+(c.queue = {QUEUE_TYPE_LRN} and c.due <= %d)""" % (
                 self.col.sched.today,
                 self.col.sched.dayCutoff,
             )
diff --git a/pylib/anki/importing/anki2.py b/pylib/anki/importing/anki2.py
index ee681d570..35a56309e 100644
--- a/pylib/anki/importing/anki2.py
+++ b/pylib/anki/importing/anki2.py
@@ -357,12 +357,12 @@ class Anki2Importer(Importer):
                 card[8] = card[14]
                 card[14] = 0
                 # queue
-                if card[6] == 1:  # type
+                if card[6] == CARD_TYPE_LRN:  # type
                     card[7] = QUEUE_TYPE_NEW
                 else:
                     card[7] = card[6]
                 # type
-                if card[6] == 1:
+                if card[6] == CARD_TYPE_LRN:
                     card[6] = CARD_TYPE_NEW
             cards.append(card)
             # we need to import revlog, rewriting card ids and bumping usn
diff --git a/pylib/anki/sched.py b/pylib/anki/sched.py
index 2bf2fbafb..626bf656d 100644
--- a/pylib/anki/sched.py
+++ b/pylib/anki/sched.py
@@ -71,10 +71,10 @@ class Scheduler:
         wasNewQ = card.queue == QUEUE_TYPE_NEW
         if wasNewQ:
             # came from the new queue, move to learning
-            card.queue = 1
+            card.queue = QUEUE_TYPE_LRN
             # if it was a new card, it's now a learning card
             if card.type == CARD_TYPE_NEW:
-                card.type = 1
+                card.type = CARD_TYPE_LRN
             # init reps to graduation
             card.left = self._startingLeft(card)
             # dynamic?
@@ -84,7 +84,7 @@ class Scheduler:
                     card.ivl = self._dynIvlBoost(card)
                     card.odue = self.today + card.ivl
             self._updateStats(card, "new")
-        if card.queue in (1, 3):
+        if card.queue in (QUEUE_TYPE_LRN, 3):
             self._answerLrnCard(card, ease)
             if not wasNewQ:
                 self._updateStats(card, "lrn")
@@ -142,7 +142,7 @@ order by due"""
             if card.odid and card.queue == 2:
                 return 4
             conf = self._lrnConf(card)
-            if card.type in (CARD_TYPE_NEW, 1) or len(conf["delays"]) > 1:
+            if card.type in (CARD_TYPE_NEW, CARD_TYPE_LRN) or len(conf["delays"]) > 1:
                 return 3
             return 2
         elif card.queue == 2:
@@ -466,9 +466,9 @@ select id from cards where did in %s and queue = {QUEUE_TYPE_NEW} limit ?)"""
         # sub-day
         self.lrnCount = (
             self.col.db.scalar(
-                """
+                f"""
 select sum(left/1000) from (select left from cards where
-did in %s and queue = 1 and due < ? limit %d)"""
+did in %s and queue = {QUEUE_TYPE_LRN} and due < ? limit %d)"""
                 % (self._deckLimit(), self.reportLimit),
                 self.dayCutoff,
             )
@@ -496,9 +496,9 @@ and due <= ? limit %d"""
         if self._lrnQueue:
             return True
         self._lrnQueue = self.col.db.all(
-            """
+            f"""
 select due, id from cards where
-did in %s and queue = 1 and due < :lim
+did in %s and queue = {QUEUE_TYPE_LRN} and due < :lim
 limit %d"""
             % (self._deckLimit(), self.reportLimit),
             lim=self.dayCutoff,
@@ -601,7 +601,7 @@ did = ? and queue = 3 and due <= ? limit ?""",
                 # if the queue is not empty and there's nothing else to do, make
                 # sure we don't put it at the head of the queue and end up showing
                 # it twice in a row
-                card.queue = 1
+                card.queue = QUEUE_TYPE_LRN
                 if self._lrnQueue and not self.revCount and not self.newCount:
                     smallestDue = self._lrnQueue[0][0]
                     card.due = max(card.due, smallestDue + 1)
@@ -736,25 +736,25 @@ did = ? and queue = 3 and due <= ? limit ?""",
             extra = " and did in " + ids2str(self.col.decks.allIds())
         # review cards in relearning
         self.col.db.execute(
-            """
+            f"""
 update cards set
 due = odue, queue = 2, mod = %d, usn = %d, odue = 0
-where queue in (1,3) and type = 2
+where queue in ({QUEUE_TYPE_LRN},3) and type = 2
 %s
 """
             % (intTime(), self.col.usn(), extra)
         )
         # new cards in learning
         self.forgetCards(
-            self.col.db.list("select id from cards where queue in (1,3) %s" % extra)
+            self.col.db.list(f"select id from cards where queue in ({QUEUE_TYPE_LRN},3) %s" % extra)
         )
 
     def _lrnForDeck(self, did):
         cnt = (
             self.col.db.scalar(
-                """
+                f"""
 select sum(left/1000) from
-(select left from cards where did = ? and queue = 1 and due < ? limit ?)""",
+(select left from cards where did = ? and queue = {QUEUE_TYPE_LRN} and due < ? limit ?)""",
                 did,
                 intTime() + self.col.conf["collapseTime"],
                 self.reportLimit,
@@ -907,7 +907,7 @@ select id from cards where did in %s and queue = 2 and due <= ? limit ?)"""
         # queue 1
         if card.due < self.dayCutoff:
             self.lrnCount += card.left // 1000
-            card.queue = 1
+            card.queue = QUEUE_TYPE_LRN
             heappush(self._lrnQueue, (card.due, card.id))
         else:
             # day learn queue
@@ -1059,8 +1059,8 @@ select id from cards where did in %s and queue = 2 and due <= ? limit ?)"""
         # move out of cram queue
         self.col.db.execute(
             f"""
-update cards set did = odid, queue = (case when type = 1 then {QUEUE_TYPE_NEW}
-else type end), type = (case when type = 1 then {CARD_TYPE_NEW} else type end),
+update cards set did = odid, queue = (case when type = {CARD_TYPE_LRN} then {QUEUE_TYPE_NEW}
+else type end), type = (case when type = {CARD_TYPE_LRN} then {CARD_TYPE_NEW} else type end),
 due = odue, odue = 0, odid = 0, usn = ? where %s"""
             % lim,
             self.col.usn(),
@@ -1347,7 +1347,7 @@ To study outside of the normal schedule, click the Custom Study button below."""
 
     def nextIvl(self, card, ease):
         "Return the next interval for CARD, in seconds."
-        if card.queue in (QUEUE_TYPE_NEW, 1, 3):
+        if card.queue in (QUEUE_TYPE_NEW, QUEUE_TYPE_LRN, 3):
             return self._nextLrnIvl(card, ease)
         elif ease == BUTTON_ONE:
             # lapsed
diff --git a/pylib/anki/schedv2.py b/pylib/anki/schedv2.py
index 8c1d1e2fe..efc6030c5 100644
--- a/pylib/anki/schedv2.py
+++ b/pylib/anki/schedv2.py
@@ -97,14 +97,14 @@ class Scheduler:
 
         if card.queue == QUEUE_TYPE_NEW:
             # came from the new queue, move to learning
-            card.queue = 1
-            card.type = 1
+            card.queue = QUEUE_TYPE_LRN
+            card.type = CARD_TYPE_LRN
             # init reps to graduation
             card.left = self._startingLeft(card)
             # update daily limit
             self._updateStats(card, "new")
 
-        if card.queue in (1, QUEUE_TYPE_DAY_LEARN_RELEARN):
+        if card.queue in (QUEUE_TYPE_LRN, QUEUE_TYPE_DAY_LEARN_RELEARN):
             self._answerLrnCard(card, ease)
         elif card.queue == 2:
             self._answerRevCard(card, ease)
@@ -505,8 +505,8 @@ select id from cards where did in %s and queue = {QUEUE_TYPE_NEW} limit ?)"""
         # sub-day
         self.lrnCount = (
             self.col.db.scalar(
-                """
-select count() from cards where did in %s and queue = 1
+                f"""
+select count() from cards where did in %s and queue = {QUEUE_TYPE_LRN}
 and due < ?"""
                 % (self._deckLimit()),
                 self._lrnCutoff,
@@ -546,7 +546,7 @@ select count() from cards where did in %s and queue = {QUEUE_TYPE_PREVIEW}
         self._lrnQueue = self.col.db.all(
             f"""
 select due, id from cards where
-did in %s and queue in (1,{QUEUE_TYPE_PREVIEW}) and due < :lim
+did in %s and queue in ({QUEUE_TYPE_LRN},{QUEUE_TYPE_PREVIEW}) and due < :lim
 limit %d"""
             % (self._deckLimit(), self.reportLimit),
             lim=cutoff,
@@ -674,7 +674,7 @@ did = ? and queue = {QUEUE_TYPE_DAY_LEARN_RELEARN} and due <= ? limit ?""",
             maxExtra = min(300, int(delay * 0.25))
             fuzz = random.randrange(0, maxExtra)
             card.due = min(self.dayCutoff - 1, card.due + fuzz)
-            card.queue = 1
+            card.queue = QUEUE_TYPE_LRN
             if card.due < (intTime() + self.col.conf["collapseTime"]):
                 self.lrnCount += 1
                 # if the queue is not empty and there's nothing else to do, make
@@ -831,9 +831,9 @@ did = ? and queue = {QUEUE_TYPE_DAY_LEARN_RELEARN} and due <= ? limit ?""",
     def _lrnForDeck(self, did: int) -> Any:
         cnt = (
             self.col.db.scalar(
-                """
+                f"""
 select count() from
-(select null from cards where did = ? and queue = 1 and due < ? limit ?)""",
+(select null from cards where did = ? and queue = {QUEUE_TYPE_LRN} and due < ? limit ?)""",
                 did,
                 intTime() + self.col.conf["collapseTime"],
                 self.reportLimit,
@@ -1261,9 +1261,9 @@ where id = ?
 
         # learning and relearning cards may be seconds-based or day-based;
         # other types map directly to queues
-        if card.type in (1, CARD_TYPE_RELEARNING):
+        if card.type in (CARD_TYPE_LRN, CARD_TYPE_RELEARNING):
             if card.odue > 1000000000:
-                card.queue = 1
+                card.queue = QUEUE_TYPE_LRN
             else:
                 card.queue = QUEUE_TYPE_DAY_LEARN_RELEARN
         else:
@@ -1563,7 +1563,7 @@ To study outside of the normal schedule, click the Custom Study button below."""
             return 0
 
         # (re)learning?
-        if card.queue in (QUEUE_TYPE_NEW, 1, QUEUE_TYPE_DAY_LEARN_RELEARN):
+        if card.queue in (QUEUE_TYPE_NEW, QUEUE_TYPE_LRN, QUEUE_TYPE_DAY_LEARN_RELEARN):
             return self._nextLrnIvl(card, ease)
         elif ease == BUTTON_ONE:
             # lapse
@@ -1605,7 +1605,7 @@ To study outside of the normal schedule, click the Custom Study button below."""
     # learning and relearning cards may be seconds-based or day-based;
     # other types map directly to queues
     _restoreQueueSnippet = f"""
-queue = (case when type in (1,{CARD_TYPE_RELEARNING}) then
+queue = (case when type in ({CARD_TYPE_LRN},{CARD_TYPE_RELEARNING}) then
   (case when (case when odue then odue else due end) > 1000000000 then 1 else
   {QUEUE_TYPE_DAY_LEARN_RELEARN} end)
 else
@@ -1875,10 +1875,10 @@ and due >= ? and queue = {QUEUE_TYPE_NEW}"""
         self.col.db.execute(
             f"""
 update cards set did = odid, queue = (case
-when type = 1 then {QUEUE_TYPE_NEW}
+when type = {CARD_TYPE_LRN} then {QUEUE_TYPE_NEW}
 when type = {CARD_TYPE_RELEARNING} then 2
 else type end), type = (case
-when type = 1 then {CARD_TYPE_NEW}
+when type = {CARD_TYPE_LRN} then {CARD_TYPE_NEW}
 when type = {CARD_TYPE_RELEARNING} then 2
 else type end),
 due = odue, odue = 0, odid = 0, usn = ? where odid != 0""",
@@ -1892,7 +1892,7 @@ due = odue, odue = 0, odid = 0, usn = ? where odid != 0""",
                 f"""
     update cards set
     due = odue, queue = 2, type = 2, mod = %d, usn = %d, odue = 0
-    where queue in (1,{QUEUE_TYPE_DAY_LEARN_RELEARN}) and type in (2, {CARD_TYPE_RELEARNING})
+    where queue in ({QUEUE_TYPE_LRN},{QUEUE_TYPE_DAY_LEARN_RELEARN}) and type in (2, {CARD_TYPE_RELEARNING})
     """
                 % (intTime(), self.col.usn())
             )
@@ -1901,14 +1901,14 @@ due = odue, odue = 0, odid = 0, usn = ? where odid != 0""",
                 f"""
     update cards set
     due = %d+ivl, queue = 2, type = 2, mod = %d, usn = %d, odue = 0
-    where queue in (1,{QUEUE_TYPE_DAY_LEARN_RELEARN}) and type in (2, {CARD_TYPE_RELEARNING})
+    where queue in ({QUEUE_TYPE_LRN},{QUEUE_TYPE_DAY_LEARN_RELEARN}) and type in (2, {CARD_TYPE_RELEARNING})
     """
                 % (self.today, intTime(), self.col.usn())
             )
         # remove new cards from learning
         self.forgetCards(
             self.col.db.list(
-                f"select id from cards where queue in (1,{QUEUE_TYPE_DAY_LEARN_RELEARN})"
+                f"select id from cards where queue in ({QUEUE_TYPE_LRN},{QUEUE_TYPE_DAY_LEARN_RELEARN})"
             )
         )
 
@@ -1917,7 +1917,7 @@ due = odue, odue = 0, odid = 0, usn = ? where odid != 0""",
         self.col.db.execute(
             f"""
 update cards set type = (case
-when type = 1 then {CARD_TYPE_NEW}
+when type = {CARD_TYPE_LRN} then {CARD_TYPE_NEW}
 when type in (2, {CARD_TYPE_RELEARNING}) then 2
 else type end),
 due = (case when odue then odue else due end),
diff --git a/pylib/anki/stats.py b/pylib/anki/stats.py
index 32e24341a..ed8c318eb 100644
--- a/pylib/anki/stats.py
+++ b/pylib/anki/stats.py
@@ -35,7 +35,7 @@ class CardStats:
         if first:
             self.addLine(_("First Review"), self.date(first / 1000))
             self.addLine(_("Latest Review"), self.date(last / 1000))
-        if c.type in (1, 2):
+        if c.type in (CARD_TYPE_LRN, 2):
             if c.odid or c.queue < QUEUE_TYPE_NEW:
                 next = None
             else:
@@ -676,7 +676,7 @@ select count(), avg(ivl), max(ivl) from cards where did in %s and queue = 2"""
         types = ("lrn", "yng", "mtr")
         eases = self._eases()
         for (type, ease, cnt) in eases:
-            if type == 1:
+            if type == CARD_TYPE_LRN:
                 ease += 5
             elif type == 2:
                 ease += 10
@@ -944,7 +944,7 @@ from cards where did in %s and queue = 2"""
             f"""
 select
 sum(case when queue=2 and ivl >= 21 then 1 else 0 end), -- mtr
-sum(case when queue in (1,3) or (queue=2 and ivl < 21) then 1 else 0 end), -- yng/lrn
+sum(case when queue in ({QUEUE_TYPE_LRN},3) or (queue=2 and ivl < 21) then 1 else 0 end), -- yng/lrn
 sum(case when queue={QUEUE_TYPE_NEW} then 1 else 0 end), -- new
 sum(case when queue<{QUEUE_TYPE_NEW} then 1 else 0 end) -- susp
 from cards where did in %s"""
diff --git a/pylib/tests/test_schedv1.py b/pylib/tests/test_schedv1.py
index 186637340..9e69873c7 100644
--- a/pylib/tests/test_schedv1.py
+++ b/pylib/tests/test_schedv1.py
@@ -51,8 +51,8 @@ def test_new():
     # if we answer it, it should become a learn card
     t = intTime()
     d.sched.answerCard(c, 1)
-    assert c.queue == 1
-    assert c.type == 1
+    assert c.queue == QUEUE_TYPE_LRN
+    assert c.type == CARD_TYPE_LRN
     assert c.due >= t
 
     # disabled for now, as the learn fudging makes this randomly fail
@@ -163,8 +163,8 @@ def test_learn():
     assert c.left % 1000 == 1
     assert c.left // 1000 == 1
     # the next pass should graduate the card
-    assert c.queue == 1
-    assert c.type == 1
+    assert c.queue == QUEUE_TYPE_LRN
+    assert c.type == CARD_TYPE_LRN
     d.sched.answerCard(c, 2)
     assert c.queue == 2
     assert c.type == 2
@@ -259,7 +259,7 @@ def test_learn_day():
     assert ni(c, 2) == 86400 * 2
     # if we fail it, it should be back in the correct queue
     d.sched.answerCard(c, 1)
-    assert c.queue == 1
+    assert c.queue == QUEUE_TYPE_LRN
     d.undo()
     d.reset()
     c = d.sched.getCard()
@@ -311,7 +311,7 @@ def test_reviews():
     d.reset()
     d.sched._cardConf(c)["lapse"]["delays"] = [2, 20]
     d.sched.answerCard(c, 1)
-    assert c.queue == 1
+    assert c.queue == QUEUE_TYPE_LRN
     # it should be due tomorrow, with an interval of 1
     assert c.odue == d.sched.today + 1
     assert c.ivl == 1
@@ -558,7 +558,7 @@ def test_suspend():
     c = d.sched.getCard()
     d.sched.answerCard(c, 1)
     assert c.due >= time.time()
-    assert c.queue == 1
+    assert c.queue == QUEUE_TYPE_LRN
     assert c.type == 2
     d.sched.suspendCards([c.id])
     d.sched.unsuspendCards([c.id])
@@ -622,7 +622,7 @@ def test_cram():
     # int(75*1.85) = 138
     assert c.ivl == 138
     assert c.odue == 138
-    assert c.queue == 1
+    assert c.queue == QUEUE_TYPE_LRN
     # should be logged as a cram rep
     assert d.db.scalar("select type from revlog order by id desc limit 1") == 3
     # check ivls again
@@ -702,7 +702,7 @@ def test_cram_rem():
     c = d.sched.getCard()
     d.sched.answerCard(c, 2)
     # answering the card will put it in the learning queue
-    assert c.type == c.queue == 1
+    assert c.type == CARD_TYPE_LRN and c.queue == QUEUE_TYPE_LRN
     assert c.due != oldDue
     # if we terminate cramming prematurely it should be set back to new
     d.sched.emptyDyn(did)
@@ -950,7 +950,7 @@ def test_timing():
 
     time.time = adjusted_time
     c = d.sched.getCard()
-    assert c.queue == 1
+    assert c.queue == QUEUE_TYPE_LRN
     time.time = orig_time
 
 
diff --git a/pylib/tests/test_schedv2.py b/pylib/tests/test_schedv2.py
index be4cfa144..2ab46fca5 100644
--- a/pylib/tests/test_schedv2.py
+++ b/pylib/tests/test_schedv2.py
@@ -62,8 +62,8 @@ def test_new():
     # if we answer it, it should become a learn card
     t = intTime()
     d.sched.answerCard(c, 1)
-    assert c.queue == 1
-    assert c.type == 1
+    assert c.queue == QUEUE_TYPE_LRN
+    assert c.type == CARD_TYPE_LRN
     assert c.due >= t
 
     # disabled for now, as the learn fudging makes this randomly fail
@@ -176,8 +176,8 @@ def test_learn():
     assert c.left % 1000 == 1
     assert c.left // 1000 == 1
     # the next pass should graduate the card
-    assert c.queue == 1
-    assert c.type == 1
+    assert c.queue == QUEUE_TYPE_LRN
+    assert c.type == CARD_TYPE_LRN
     d.sched.answerCard(c, 3)
     assert c.queue == 2
     assert c.type == 2
@@ -210,7 +210,7 @@ def test_relearn():
     d.reset()
     c = d.sched.getCard()
     d.sched.answerCard(c, 1)
-    assert c.queue == 1
+    assert c.queue == QUEUE_TYPE_LRN
     assert c.type == 3
     assert c.ivl == 1
 
@@ -303,7 +303,7 @@ def test_learn_day():
     assert ni(c, 3) == 86400 * 2
     # if we fail it, it should be back in the correct queue
     d.sched.answerCard(c, 1)
-    assert c.queue == 1
+    assert c.queue == QUEUE_TYPE_LRN
     d.undo()
     d.reset()
     c = d.sched.getCard()
@@ -679,12 +679,12 @@ def test_suspend():
     d.sched.answerCard(c, 1)
     assert c.due >= time.time()
     due = c.due
-    assert c.queue == 1
+    assert c.queue == QUEUE_TYPE_LRN
     assert c.type == 3
     d.sched.suspendCards([c.id])
     d.sched.unsuspendCards([c.id])
     c.load()
-    assert c.queue == 1
+    assert c.queue == QUEUE_TYPE_LRN
     assert c.type == 3
     assert c.due == due
     # should cope with cards in cram decks
@@ -771,11 +771,11 @@ def test_filt_keep_lrn_state():
 
     d.sched.answerCard(c, 1)
 
-    assert c.type == c.queue == 1
+    assert c.type == CARD_TYPE_LRN and c.queue == QUEUE_TYPE_LRN
     assert c.left == 3003
 
     d.sched.answerCard(c, 3)
-    assert c.type == c.queue == 1
+    assert c.type == CARD_TYPE_LRN and c.queue == QUEUE_TYPE_LRN
 
     # create a dynamic deck and refresh it
     did = d.decks.newDyn("Cram")
@@ -784,7 +784,7 @@ def test_filt_keep_lrn_state():
 
     # card should still be in learning state
     c.load()
-    assert c.type == c.queue == 1
+    assert c.type == CARD_TYPE_LRN and c.queue == QUEUE_TYPE_LRN
     assert c.left == 2002
 
     # should be able to advance learning steps
@@ -795,7 +795,7 @@ def test_filt_keep_lrn_state():
     # emptying the deck preserves learning state
     d.sched.emptyDyn(did)
     c.load()
-    assert c.type == c.queue == 1
+    assert c.type == CARD_TYPE_LRN and c.queue == QUEUE_TYPE_LRN
     assert c.left == 1001
     assert c.due - intTime() > 60 * 60
 
@@ -977,7 +977,7 @@ def test_timing():
     c.flush()
     d.reset()
     c = d.sched.getCard()
-    assert c.queue == 1
+    assert c.queue == QUEUE_TYPE_LRN
 
 
 def test_collapse():
diff --git a/pylib/tests/test_undo.py b/pylib/tests/test_undo.py
index a4a8a7098..89e0fac0e 100644
--- a/pylib/tests/test_undo.py
+++ b/pylib/tests/test_undo.py
@@ -59,7 +59,7 @@ def test_review():
     d.sched.answerCard(c, 3)
     assert c.left == 1001
     assert d.sched.counts() == (0, 1, 0)
-    assert c.queue == 1
+    assert c.queue == QUEUE_TYPE_LRN
     # undo
     assert d.undoName()
     d.undo()
diff --git a/qt/aqt/browser.py b/qt/aqt/browser.py
index 77af12b3f..57af170eb 100644
--- a/qt/aqt/browser.py
+++ b/qt/aqt/browser.py
@@ -333,7 +333,7 @@ class DataModel(QAbstractTableModel):
     def nextDue(self, c, index):
         if c.odid:
             return _("(filtered)")
-        elif c.queue == 1:
+        elif c.queue == QUEUE_TYPE_LRN:
             date = c.due
         elif c.queue == QUEUE_TYPE_NEW or c.type == CARD_TYPE_NEW:
             return str(c.due)
@@ -1430,7 +1430,7 @@ border: 1px solid #000; padding: 3px; '>%s</div>"""
             fmt = "<span style='color:%s'>%s</span>"
             if type == CARD_TYPE_NEW:
                 tstr = fmt % (st.colLearn, tstr)
-            elif type == 1:
+            elif type == CARD_TYPE_LRN:
                 tstr = fmt % (st.colMature, tstr)
             elif type == 2:
                 tstr = fmt % (st.colRelearn, tstr)