Create dt_ss.py for the python example of sorted sets on the data typ…

doctests/dt_ss.py

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+# EXAMPLE: ss_tutorial
+# HIDE_START
+import redis
+
+r = redis.Redis(decode_responses=True)
+# HIDE_END
+
+# REMOVE_START
+r.delete("racer_scores")
+# REMOVE_END
+
+# STEP_START zadd
+res1 = r.zadd("racer_scores", {"Norem": 10})
+print(res1)  # >>> 1
+
+res2 = r.zadd("racer_scores", {"Castilla": 12})
+print(res2)  # >>> 1
+
+res3 = r.zadd(
+    "racer_scores",
+    {"Sam-Bodden": 8, "Royce": 10, "Ford": 6, "Prickett": 14, "Castilla": 12},
+)
+print(res3)  # >>> 4
+# STEP_END
+
+# REMOVE_START
+assert r.zcard("racer_scores") == 6
+# REMOVE_END
+
+# STEP_START zrange
+res4 = r.zrange("racer_scores", 0, -1)
+print(
+    res4
+)  # >>> ['Ford', 'Sam-Bodden', 'Norem', 'Royce', 'Castilla', 'Prickett']
+
+res5 = r.zrevrange("racer_scores", 0, -1)
+print(
+    res5
+)  # >>> ['Prickett', 'Castilla', 'Royce', 'Norem', 'Sam-Bodden', 'Ford']
+# STEP_END
+
+# STEP_START zrange_withscores
+res6 = r.zrange("racer_scores", 0, -1, withscores=True)
+print(
+    res6
+)  # >>> [('Ford', 6.0), ('Sam-Bodden', 8.0), ('Norem', 10.0), ('Royce', 10.0), ('Castilla', 12.0), ('Prickett', 14.0)]
+# STEP_END
+
+# STEP_START zrangebyscore
+res7 = r.zrangebyscore("racer_scores", "-inf", 10)
+print(res7)  # >>> ['Ford', 'Sam-Bodden', 'Norem', 'Royce']
+# STEP_END
+
+# STEP_START zremrangebyscore
+res8 = r.zrem("racer_scores", "Castilla")
+print(res8)  # >>> 1
+
+res9 = r.zremrangebyscore("racer_scores", "-inf", 9)
+print(res9)  # >>> 2
+
+res10 = r.zrange("racer_scores", 0, -1)
+print(res10)  # >>> ['Norem', 'Royce', 'Prickett']
+# STEP_END
+
+# REMOVE_START
+assert r.zcard("racer_scores") == 3
+# REMOVE_END
+
+# STEP_START zrank
+res11 = r.zrank("racer_scores", "Norem")
+print(res11)  # >>> 0
+
+res12 = r.zrevrank("racer_scores", "Norem")
+print(res12)  # >>> 2
+# STEP_END
+
+# STEP_START zadd_lex
+res13 = r.zadd(
+    "racer_scores",
+    {
+        "Norem": 0,
+        "Sam-Bodden": 0,
+        "Royce": 0,
+        "Ford": 0,
+        "Prickett": 0,
+        "Castilla": 0,
+    },
+)
+print(res13)  # >>> 3
+
+res14 = r.zrange("racer_scores", 0, -1)
+print(
+    res14
+)  # >>> ['Castilla', 'Ford', 'Norem', 'Prickett', 'Royce', 'Sam-Bodden']
+
+res15 = r.zrangebylex("racer_scores", "[A", "[L")
+print(res15)  # >>> ['Castilla', 'Ford']
+# STEP_END
+
+# STEP_START leaderboard
+res16 = r.zadd("racer_scores", {"Wood": 100})
+print(res16)  # >>> 1
+
+res17 = r.zadd("racer_scores", {"Henshaw": 100})
+print(res17)  # >>> 1
+
+res18 = r.zadd("racer_scores", {"Henshaw": 150})
+print(res18)  # >>> 0
+
+res19 = r.zincrby("racer_scores", 50, "Wood")
+print(res19)  # >>> 150.0
+
+res20 = r.zincrby("racer_scores", 50, "Henshaw")
+print(res20)  # >>> 200.0
+# STEP_END