docs: update generated docs (#1053)
Updates for both discovery docs and epydoc API Documentation
Fixes: #1049
diff --git a/docs/dyn/games_v1.stats.html b/docs/dyn/games_v1.stats.html
index 5fae123..cfb89c7 100644
--- a/docs/dyn/games_v1.stats.html
+++ b/docs/dyn/games_v1.stats.html
@@ -75,13 +75,20 @@
<h1><a href="games_v1.html">Google Play Game Services</a> . <a href="games_v1.stats.html">stats</a></h1>
<h2>Instance Methods</h2>
<p class="toc_element">
+ <code><a href="#close">close()</a></code></p>
+<p class="firstline">Close httplib2 connections.</p>
+<p class="toc_element">
<code><a href="#get">get(x__xgafv=None)</a></code></p>
-<p class="firstline">Returns engagement and spend statistics in this application for the</p>
+<p class="firstline">Returns engagement and spend statistics in this application for the currently authenticated user.</p>
<h3>Method Details</h3>
<div class="method">
+ <code class="details" id="close">close()</code>
+ <pre>Close httplib2 connections.</pre>
+</div>
+
+<div class="method">
<code class="details" id="get">get(x__xgafv=None)</code>
- <pre>Returns engagement and spend statistics in this application for the
-currently authenticated user.
+ <pre>Returns engagement and spend statistics in this application for the currently authenticated user.
Args:
x__xgafv: string, V1 error format.
@@ -93,36 +100,17 @@
An object of the form:
{ # A third party stats resource.
- "days_since_last_played": 42, # Number of days since the player last played this game. E.g., 0, 1, 5, 10,
- # ... . Not populated if there is not enough information.
- "spend_probability": 3.14, # The probability of the player going to spend the game in the next seven
- # days. E.g., 0, 0.25, 0.50, 0.75. Not populated if there is not enough
- # information.
- "spend_percentile": 3.14, # The approximate spend percentile of the player in this game. E.g., 0, 0.25,
- # 0.5, 0.75. Not populated if there is not enough information.
- "kind": "A String", # Uniquely identifies the type of this resource. Value is always the fixed
- # string `games#statsResponse`.
- "high_spender_probability": 3.14, # The probability of the player going to spend beyond a threshold amount of
- # money. E.g., 0, 0.25, 0.50, 0.75. Not populated if there is not enough
- # information.
- "num_sessions": 42, # The approximate number of sessions of the player within the last 28 days,
- # where a session begins when the player is connected to Play Games Services
- # and ends when they are disconnected. E.g., 0, 1, 5, 10, ... . Not populated
- # if there is not enough information.
- "churn_probability": 3.14, # The probability of the player not returning to play the game in the next
- # day. E.g., 0, 0.1, 0.5, ..., 1.0. Not populated if there is not enough
- # information.
- "num_sessions_percentile": 3.14, # The approximation of the sessions percentile of the player within the last
- # 30 days, where a session begins when the player is connected to Play Games
- # Services and ends when they are disconnected. E.g., 0, 0.25, 0.5, 0.75. Not
- # populated if there is not enough information.
- "num_purchases": 42, # Number of in-app purchases made by the player in this game. E.g., 0, 1, 5,
- # 10, ... . Not populated if there is not enough information.
- "total_spend_next_28_days": 3.14, # The predicted amount of money that the player going to spend in the next 28
- # days. E.g., 1, 30, 60, ... . Not populated if there is not enough
- # information.
- "avg_session_length_minutes": 3.14, # Average session length in minutes of the player. E.g., 1, 30, 60, ... . Not
- # populated if there is not enough information.
+ "num_sessions": 42, # The approximate number of sessions of the player within the last 28 days, where a session begins when the player is connected to Play Games Services and ends when they are disconnected. E.g., 0, 1, 5, 10, ... . Not populated if there is not enough information.
+ "high_spender_probability": 3.14, # The probability of the player going to spend beyond a threshold amount of money. E.g., 0, 0.25, 0.50, 0.75. Not populated if there is not enough information.
+ "days_since_last_played": 42, # Number of days since the player last played this game. E.g., 0, 1, 5, 10, ... . Not populated if there is not enough information.
+ "num_purchases": 42, # Number of in-app purchases made by the player in this game. E.g., 0, 1, 5, 10, ... . Not populated if there is not enough information.
+ "kind": "A String", # Uniquely identifies the type of this resource. Value is always the fixed string `games#statsResponse`.
+ "avg_session_length_minutes": 3.14, # Average session length in minutes of the player. E.g., 1, 30, 60, ... . Not populated if there is not enough information.
+ "spend_probability": 3.14, # The probability of the player going to spend the game in the next seven days. E.g., 0, 0.25, 0.50, 0.75. Not populated if there is not enough information.
+ "churn_probability": 3.14, # The probability of the player not returning to play the game in the next day. E.g., 0, 0.1, 0.5, ..., 1.0. Not populated if there is not enough information.
+ "num_sessions_percentile": 3.14, # The approximation of the sessions percentile of the player within the last 30 days, where a session begins when the player is connected to Play Games Services and ends when they are disconnected. E.g., 0, 0.25, 0.5, 0.75. Not populated if there is not enough information.
+ "spend_percentile": 3.14, # The approximate spend percentile of the player in this game. E.g., 0, 0.25, 0.5, 0.75. Not populated if there is not enough information.
+ "total_spend_next_28_days": 3.14, # The predicted amount of money that the player going to spend in the next 28 days. E.g., 1, 30, 60, ... . Not populated if there is not enough information.
}</pre>
</div>