优化多进程调用方式，减少进程间IO等待

pyat/czcore.py

@@ -297,18 +297,10 @@ def call_fangwei(freq, sd, bathm, ssp, sed, base, azi, isPlot=False):
         czdetail.reflectCz = []
     return Pos.r.range, Pos.r.depth, TL[0, 0, :, :], bathm, Rays, czdetail
 
-def child(database, freq, lat, lon, sd, isPlot, i):
+def child(freq, sd, isPlot, bathm, ssp, sed, base, azi, descript):
-    descripts = ["正北方向", "东北方向", "正东方向", "东南方向", "正南方向", "西南方向", "正西方向", "西北方向"]
+    ranges, depths, TL, bathym, Rays, czdetail = call_fangwei(freq, sd, bathm, ssp, sed, base, azi,isPlot=isPlot)
-    theta = np.arange(0, 359, 45)
+    czdetail.descript = descript
-    [bathm, ssp, sed, base] = GetEnv(database, 25, Coord(lon, lat), R=100, azi=theta[i])
+    return CzData(azi, ranges, depths, TL, bathym, Rays, czdetail)
-    if np.mean(bathm.d) < 2000:
-        # 不会出现会聚区
-        ddd=[]
-        return None
-    else:
-        ranges, depths, TL, bathym, Rays, czdetail = call_fangwei(freq, sd, bathm, ssp, sed, base, azi=theta[i],isPlot=isPlot)
-        czdetail.descript = descripts[i]
-        return CzData(theta[i], ranges, depths, TL, bathym, Rays, czdetail)
 
 def call_cz(database, freq, lat, lon, azi, sourceDepth=10,  isPlot=False):
     sd = np.array([sourceDepth])  # Source depth
@@ -322,9 +314,7 @@ def call_cz(database, freq, lat, lon, azi, sourceDepth=10,  isPlot=False):
     ''' 计算单个方向的会聚区 '''
     if azi != None:
         [bathm, ssp, sed, base] = GetEnv(database, 25, Coord(lon, lat), R=100, azi=azi)
-        if np.mean(bathm.d) < 2000:
+        if np.mean(bathm.d) >= 2000:
-            return None
-        else:
             ranges, depths, TL, bathym, Rays, czdetail = call_fangwei(freq, sd, bathm, ssp, sed, base, azi,
                                                                       isPlot=isPlot)
             czdetail.descript = "{:.1f}°方向".format(azi)
@@ -332,17 +322,15 @@ def call_cz(database, freq, lat, lon, azi, sourceDepth=10,  isPlot=False):
         return results
 
     ''' 计算8个方向的会聚区 '''
-    [bathm, ssp, sed, base] = GetEnv(database, 25, Coord(lon, lat), R=100, azi=0)
+    pool = Pool()
-    if bathm.d[0] < 2000:
-        # file_cz_data.write("各个方位都不会出现会聚区")
-        return results
-    else:
-        pool = Pool(processes=8)
     applyResults = []
-        for pi in range(8):
+    descripts = ["正北方向", "东北方向", "正东方向", "东南方向", "正南方向", "西南方向", "正西方向", "西北方向"]
-            applyResults.append(pool.apply_async(partial(child, database, freq, lat, lon, sd, isPlot), (pi,)))
+    theta = np.arange(0, 359, 45)
-            # pi=Process(target=child_0,args=(pi,))
+    for i in range(8):
-            # pi.start()
+        [bathm, ssp, sed, base] = GetEnv(database, 25, Coord(lon, lat), R=100, azi=theta[i])
+        if np.mean(bathm.d) >= 2000:
+            applyResults.append(pool.apply_async(partial(child, freq, sd, isPlot), (bathm, ssp, sed, base, theta[i], descripts[i])))
+        # applyResults.append(pool.apply_async(partial(child, database, freq, lat, lon, sd, isPlot), (pi,)))
     pool.close()
     pool.join()
     for applyResult in applyResults: