def miraBuffer(self):
if not self.siPlay:
return
self.lock = True
li = self.buffer.split("\n")
if self.buffer.endswith("\n"):
self.buffer = ""
else:
self.buffer = li[-1]
li = li[:-1]
mrm = XMotorRespuesta.MRespuestaMotor("", " w " in self.fen)
mrm.dispatch("\n".join(li), None, 9999)
mrm.maxTiempo = None
mrm.maxProfundidad = 9999
if mrm.liMultiPV:
cp = ControlPosicion.ControlPosicion()
cp.leeFen(self.fen)
txt = ['<table border="1" cellpadding="4" cellspacing="0" style="border-color: #ACA899">', ]
def tr(tp, mas=""):
txt[0] += '<tr><th>%s</th><td align="right">%.01f%%</td><td>%s%s</td></tr>' % (tp[0], tp[1], mas, tp[2])
tp = AnalisisIndexes.tp_gamestage(cp, mrm)
txt[0] += '<tr><th>%s</th><td align="right">%d</td><td>%s</td></tr>' % (tp[0], tp[1], tp[2])
pts = mrm.liMultiPV[0].puntosABS()
if pts:
w, b = _("White"), _("Black")
siW = "w" in self.fen
if pts > 0:
mas = w if siW else b
elif pts < 0:
mas = b if siW else w
mas += "-"
else:
mas = ""
tr(AnalisisIndexes.tp_winprobability(cp, mrm), mas)
tr(AnalisisIndexes.tp_complexity(cp, mrm))
tr(AnalisisIndexes.tp_efficientmobility(cp, mrm))
tr(AnalisisIndexes.tp_narrowness(cp, mrm))
tr(AnalisisIndexes.tp_piecesactivity(cp, mrm))
tr(AnalisisIndexes.tp_exchangetendency(cp, mrm))
tp = AnalisisIndexes.tp_positionalpressure(cp, mrm)
txt[0] += '<tr><th>%s</th><td align="right">%dcp</td><td></td></tr>' % (tp[0], int(tp[1]))
tr(AnalisisIndexes.tp_materialasymmetry(cp, mrm))
txt[0] += "</table>"
self.em.ponHtml(txt[0])
self.lock = False
def compruebaInput(self):
if not self.engine:
return
self.veces += 1
if self.veces == 3:
self.veces = 0
if self.siPlay:
mrm = self.engine.ac_estado()
rm = mrm.rmBest()
if rm and rm.depth > self.depth:
if mrm.li_rm:
cp = Position.Position()
cp.read_fen(self.fen)
self.liData = []
def tr(tp, mas=""):
self.liData.append((tp[0], "%.01f%%" % tp[1],
"%s%s" % (mas, tp[2])))
tp = AnalisisIndexes.tp_gamestage(cp, mrm)
self.liData.append((tp[0], "%d" % tp[1], tp[2]))
pts = mrm.li_rm[0].centipawns_abs()
mas = ""
if pts:
w, b = _("White"), _("Black")
siW = "w" in self.fen
if pts > 0:
mas = w if siW else b
elif pts < 0:
mas = b if siW else w
mas += "-"
tr(AnalisisIndexes.tp_winprobability(cp, mrm), mas)
tr(AnalisisIndexes.tp_complexity(cp, mrm))
tr(AnalisisIndexes.tp_efficientmobility(cp, mrm))
tr(AnalisisIndexes.tp_narrowness(cp, mrm))
tr(AnalisisIndexes.tp_piecesactivity(cp, mrm))
tr(AnalisisIndexes.tp_exchangetendency(cp, mrm))
tp = AnalisisIndexes.tp_positionalpressure(cp, mrm)
self.liData.append((tp[0], "%d" % int(tp[1]), ""))
tr(AnalisisIndexes.tp_materialasymmetry(cp, mrm))
self.grid.refresh()
self.grid.resizeRowsToContents()
QTUtil.refresh_gui()
self.cpu.compruebaInput()
def xprocesa(self, dicPGN, partida, tmpBP, textoOriginal):
"""
Realiza el analisis
@param dicPGN: etiquetas de cabecera de la partida
@param partida: partida a analizar
@param textoOriginal: texto de la partida, por si se graba la partida original
"""
self.siBMTblunders = False
self.siBMTbrilliancies = False
siBP2 = hasattr(
tmpBP, "bp2"
) # Para diferenciar el analisis de una partida que usa una progressbar unica del
# analisis de muchas, que usa doble
def guiDispatch(rm):
return not tmpBP.siCancelado()
self.xgestor.ponGuiDispatch(
guiDispatch
) # Dispatch del motor, si esta puesto a 4 minutos por ejemplo que
# compruebe si se ha indicado que se cancele.
siBlunders = self.kblunders > 0
siBrilliancies = self.fnsbrilliancies or self.pgnbrilliancies or self.bmtbrilliancies
if self.bmtblunders and self.bmt_listaBlunders is None:
self.bmt_listaBlunders = BMT.BMT_Lista()
if self.bmtbrilliancies and self.bmt_listaBrilliancies is None:
self.bmt_listaBrilliancies = BMT.BMT_Lista()
xlibroAperturas = self.libroAperturas
xblancas = self.blancas
xnegras = self.negras
if self.liJugadores:
for x in ["BLACK", "WHITE"]:
if x in dicPGN:
jugador = dicPGN[x].upper()
si = False
for uno in self.liJugadores:
siZ = uno.endswith("*")
siA = uno.startswith("*")
uno = uno.replace("*", "").strip().upper()
if siA:
if jugador.endswith(uno):
si = True
if siZ: # form para poner siA y siZ
si = uno in jugador
elif siZ:
if jugador.startswith(uno):
si = True
elif uno == jugador:
si = True
if si:
break
if not si:
if x == "BLACK":
xnegras = False
else:
xblancas = False
if not (xblancas or xnegras):
return
clpartida = Util.microsegundosRnd()
txtPartida = partida.guardaEnTexto()
siPonerPGNOriginalBlunders = False
siPonerPGNOriginalBrilliancies = False
nJugadas = len(partida)
if self.listaElegidas:
liJugadas = self.listaElegidas
else:
liJugadas = range(nJugadas)
if xlibroAperturas:
liBorrar = []
for pos, njg in enumerate(liJugadas):
if tmpBP.siCancelado():
self.xgestor.quitaGuiDispatch()
return
# # Si esta en el libro
jg = partida.jugada(njg)
if xlibroAperturas.miraListaJugadas(jg.posicionBase.fen()):
liBorrar.append(pos)
continue
else:
break
if liBorrar:
liBorrar.reverse()
for x in liBorrar:
del liJugadas[x]
if self.desdeelfinal:
liJugadas.reverse()
nJugadas = len(liJugadas)
if siBP2:
tmpBP.ponTotal(2, nJugadas)
else:
tmpBP.ponTotal(nJugadas)
for npos, njg in enumerate(liJugadas):
if tmpBP.siCancelado():
self.xgestor.quitaGuiDispatch()
return
jg = partida.jugada(njg)
if siBP2:
tmpBP.pon(2, npos + 1)
else:
tmpBP.pon(npos + 1)
if self.rutDispatchBP:
self.rutDispatchBP(npos, nJugadas, njg)
if tmpBP.siCancelado():
self.xgestor.quitaGuiDispatch()
return
# # Fin de partida
# if jg.siJaqueMate or jg.siTablas():
# continue
# # blancas y negras
siBlancas = jg.posicionBase.siBlancas
if siBlancas:
if not xblancas:
continue
else:
if not xnegras:
continue
# -# previos
if not self.siBorrarPrevio:
if jg.analisis:
continue
# -# Procesamos
resp = self.xgestor.analizaJugadaPartida(
partida,
njg,
self.tiempo,
depth=self.depth,
brDepth=self.dpbrilliancies,
brPuntos=self.ptbrilliancies,
stability=self.stability,
st_centipawns=self.st_centipawns,
st_depths=self.st_depths,
st_timelimit=self.st_timelimit)
if not resp:
self.xgestor.quitaGuiDispatch()
return
jg.analisis = resp
cp = jg.posicionBase
mrm = resp[0]
jg.complexity = AnalisisIndexes.calc_complexity(cp, mrm)
jg.winprobability = AnalisisIndexes.calc_winprobability(cp, mrm)
jg.narrowness = AnalisisIndexes.calc_narrowness(cp, mrm)
jg.efficientmobility = AnalisisIndexes.calc_efficientmobility(
cp, mrm)
jg.piecesactivity = AnalisisIndexes.calc_piecesactivity(cp, mrm)
jg.exchangetendency = AnalisisIndexes.calc_exchangetendency(
cp, mrm)
if siBlunders or siBrilliancies or self.siVariantes:
mrm, posAct = jg.analisis
rm = mrm.liMultiPV[posAct]
rm.ponBlunder(0)
mj = mrm.liMultiPV[0]
rm_pts = rm.puntosABS()
dif = mj.puntosABS() - rm_pts
fen = jg.posicionBase.fen()
if self.siVariantes:
limite = self.alm.limitemasvariantes
if (limite == 0) or (dif >= limite):
if not (self.alm.mejorvariante and dif == 0):
jg.analisis2variantes(Partida.Partida(), self.alm,
self.siBorrarPrevio)
if dif >= self.kblunders:
rm.ponBlunder(dif)
self.grabaTactic(dicPGN, partida, njg, mrm, posAct)
if self.grabaPGN(self.pgnblunders, mrm.nombre, dicPGN, fen,
jg, rm, mj):
siPonerPGNOriginalBlunders = True
if self.bmtblunders:
self.grabaBMT(True, fen, mrm, posAct, clpartida,
txtPartida)
self.siBMTblunders = True
if rm.nivelBrillante():
jg.masCritica1_4("3")
self.grabaFNS(self.fnsbrilliancies, fen)
if self.grabaPGN(self.pgnbrilliancies, mrm.nombre, dicPGN,
fen, jg, rm, None):
siPonerPGNOriginalBrilliancies = True
if self.bmtbrilliancies:
self.grabaBMT(False, fen, mrm, posAct, clpartida,
txtPartida)
self.siBMTbrilliancies = True
else:
nag, color = mrm.setNAG_Color(self.configuracion, rm)
if nag:
jg.masCritica1_4(str(nag))
# Ponemos el texto original en la ultima
if siPonerPGNOriginalBlunders and self.oriblunders:
f = codecs.open(self.pgnblunders, "a", 'utf-8', 'ignore')
f.write("\n%s\n\n" % textoOriginal)
f.close()
if siPonerPGNOriginalBrilliancies and self.oribrilliancies:
f = codecs.open(self.pgnbrilliancies, "a", 'utf-8', 'ignore')
f.write("\n%s\n\n" % textoOriginal)
f.close()
self.xgestor.quitaGuiDispatch()
def piecesactivity(self):
return AnalisisIndexes.get_piecesactivity(self.jg.posicionBase, self.mrm)
def efficientmobility(self):
return AnalisisIndexes.get_efficientmobility(self.jg.posicionBase, self.mrm)
def narrowness(self):
return AnalisisIndexes.get_narrowness(self.jg.posicionBase, self.mrm)
def complexity(self):
return AnalisisIndexes.get_complexity(self.move.position_before,
self.mrm)
def piecesactivity(self):
return AnalisisIndexes.get_piecesactivity(self.jg.posicionBase,
self.mrm)
def narrowness(self):
return AnalisisIndexes.get_narrowness(self.jg.posicionBase, self.mrm)
def piecesactivity(self):
return AnalisisIndexes.get_piecesactivity(self.move.position_before,
self.mrm)
def efficientmobility(self):
return AnalisisIndexes.get_efficientmobility(self.move.position_before,
self.mrm)
def narrowness(self):
return AnalisisIndexes.get_narrowness(self.move.position_before,
self.mrm)
def winprobability(self):
return AnalisisIndexes.get_winprobability(self.move.position_before,
self.mrm)
def complexity(self):
return AnalisisIndexes.get_complexity(self.jg.posicionBase, self.mrm)
def xprocesa(self, dicPGN, partida, tmpBP, textoOriginal):
"""
Realiza el analisis
@param dicPGN: etiquetas de cabecera de la partida
@param partida: partida a analizar
@param textoOriginal: texto de la partida, por si se graba la partida original
"""
self.siBMTblunders = False
self.siBMTbrilliancies = False
siBP2 = hasattr(tmpBP,
"bp2") # Para diferenciar el analisis de una partida que usa una progressbar unica del analisis de muchas, que usa doble
def guiDispatch(rm):
return not tmpBP.siCancelado()
self.xgestor.ponGuiDispatch(
guiDispatch) # Dispatch del motor, si esta puesto a 4 minutos por ejemplo que compruebe si se ha indicado que se cancele.
siBlunders = self.kblunders > 0
siBrilliancies = self.fnsbrilliancies or self.pgnbrilliancies or self.bmtbrilliancies
if self.bmtblunders and self.bmt_listaBlunders is None:
self.bmt_listaBlunders = BMT.BMT_Lista()
if self.bmtbrilliancies and self.bmt_listaBrilliancies is None:
self.bmt_listaBrilliancies = BMT.BMT_Lista()
xlibroAperturas = self.libroAperturas
xblancas = self.blancas
xnegras = self.negras
if self.liJugadores:
for x in ["BLACK", "WHITE"]:
if x in dicPGN:
jugador = dicPGN[x].upper()
si = False
for uno in self.liJugadores:
siZ = uno.endswith("*")
siA = uno.startswith("*")
uno = uno.replace("*", "").strip().upper()
if siA:
if jugador.endswith(uno):
si = True
if siZ: # form apara poner siA y siZ
si = uno in jugador
elif siZ:
if jugador.startswith(uno):
si = True
elif uno == jugador:
si = True
if si:
break
if not si:
if x == "BLACK":
xnegras = False
else:
xblancas = False
if not ( xblancas or xnegras ):
return
clpartida = Util.microsegundosRnd()
txtPartida = partida.guardaEnTexto()
siPonerPGNOriginalBlunders = False
siPonerPGNOriginalBrilliancies = False
nJugadas = len(partida.liJugadas)
if self.listaElegidas:
liJugadas = self.listaElegidas
else:
liJugadas = range(nJugadas)
if xlibroAperturas:
liBorrar = []
for pos, njg in enumerate(liJugadas):
if tmpBP.siCancelado():
self.xgestor.quitaGuiDispatch()
return
# # Si esta en el libro
jg = partida.liJugadas[njg]
if xlibroAperturas.miraListaJugadas(jg.posicionBase.fen()):
liBorrar.append(pos)
continue
else:
break
if liBorrar:
liBorrar.reverse()
for x in liBorrar:
del liJugadas[x]
if self.desdeelfinal:
liJugadas.reverse()
nJugadas = len(liJugadas)
if siBP2:
tmpBP.ponTotal(2, nJugadas)
else:
tmpBP.ponTotal(nJugadas)
for npos, njg in enumerate(liJugadas):
if tmpBP.siCancelado():
self.xgestor.quitaGuiDispatch()
return
jg = partida.liJugadas[njg]
if siBP2:
tmpBP.pon(2, npos + 1)
else:
tmpBP.pon(npos + 1)
if self.rutDispatchBP:
self.rutDispatchBP(npos, nJugadas, njg)
if tmpBP.siCancelado():
self.xgestor.quitaGuiDispatch()
return
# # Fin de partida
# if jg.siJaqueMate or jg.siTablas():
# continue
# # blancas y negras
siBlancas = jg.posicionBase.siBlancas
if siBlancas:
if not xblancas:
continue
else:
if not xnegras:
continue
## previos
if not self.siBorrarPrevio:
if jg.analisis:
continue
## Procesamos
resp = self.xgestor.analizaJugada(jg, self.tiempo, depth=self.depth, brDepth=self.dpbrilliancies,
brPuntos=self.ptbrilliancies)
if not resp:
self.xgestor.quitaGuiDispatch()
return
jg.analisis = resp
cp = jg.posicionBase
mrm = resp[0]
jg.complexity = AnalisisIndexes.calc_complexity(cp, mrm)
jg.winprobability = AnalisisIndexes.calc_winprobability(cp, mrm)
jg.narrowness = AnalisisIndexes.calc_narrowness(cp, mrm)
jg.efficientmobility = AnalisisIndexes.calc_efficientmobility(cp, mrm)
jg.piecesactivity = AnalisisIndexes.calc_piecesactivity(cp, mrm)
jg.exchangetendency = AnalisisIndexes.calc_exchangetendency(cp, mrm)
if siBlunders or siBrilliancies or self.siVariantes:
mrm, posAct = jg.analisis
rm = mrm.liMultiPV[posAct]
rm.ponBlunder(0)
mj = mrm.liMultiPV[0]
rm_pts = rm.puntosABS()
dif = mj.puntosABS() - rm_pts
if dif == 0 and len(mrm.liMultiPV) > 2:
jg.masCritica1_4("1")
fen = jg.posicionBase.fen()
if self.siVariantes:
limite = self.alm.limitemasvariantes
if (limite == 0) or (dif >= limite):
if not (self.alm.mejorvariante and dif == 0):
jg.analisis2variantes(Partida.Partida(), self.alm, self.siBorrarPrevio)
if dif >= self.kblunders:
jg.masCritica1_4("2" if dif < 100 else "4")
rm.ponBlunder(dif)
self.grabaTactic(dicPGN, partida, njg, mrm, posAct)
if self.grabaPGN(self.pgnblunders, mrm.nombre, dicPGN, fen, jg, rm, mj):
siPonerPGNOriginalBlunders = True
if self.bmtblunders:
self.grabaBMT(True, fen, mrm, posAct, clpartida, txtPartida)
self.siBMTblunders = True
if rm.nivelBrillante():
jg.masCritica1_4("3")
self.grabaFNS(self.fnsbrilliancies, fen)
if self.grabaPGN(self.pgnbrilliancies, mrm.nombre, dicPGN, fen, jg, rm, None):
siPonerPGNOriginalBrilliancies = True
if self.bmtbrilliancies:
self.grabaBMT(False, fen, mrm, posAct, clpartida, txtPartida)
self.siBMTbrilliancies = True
# Ponemos el texto original en la ultima
if siPonerPGNOriginalBlunders and self.oriblunders:
f = codecs.open(self.pgnblunders, "a", 'utf-8', 'ignore')
f.write("\n%s\n\n" % textoOriginal)
f.close()
if siPonerPGNOriginalBrilliancies and self.oribrilliancies:
f = codecs.open(self.pgnbrilliancies, "a", 'utf-8', 'ignore')
f.write("\n%s\n\n" % textoOriginal)
f.close()
self.xgestor.quitaGuiDispatch()
def winprobability(self):
return AnalisisIndexes.get_winprobability(self.jg.posicionBase,
self.mrm)
def complexity(self):
return AnalisisIndexes.get_complexity(self.jg.posicionBase, self.mrm)
def efficientmobility(self):
return AnalisisIndexes.get_efficientmobility(self.jg.posicionBase,
self.mrm)
def winprobability(self):
return AnalisisIndexes.get_winprobability(self.jg.posicionBase, self.mrm)
def miraBuffer(self):
if not self.siPlay:
return
self.lock = True
li = self.buffer.split("\n")
if self.buffer.endswith("\n"):
self.buffer = ""
else:
self.buffer = li[-1]
li = li[:-1]
mrm = XMotorRespuesta.MRespuestaMotor("", " w " in self.fen)
mrm.dispatch("\n".join(li))
mrm.ordena()
mrm.maxTiempo = None
mrm.maxProfundidad = 9999
if mrm.liMultiPV:
cp = ControlPosicion.ControlPosicion()
cp.leeFen(self.fen)
litxt = ['<table border="1" cellpadding="4" cellspacing="0" style="border-color: #ACA899">', ]
def tr(tp, mas=""):
litxt.append('<tr><th>%s</th><td align="right">%.01f%%</td><td>%s%s</td></tr>' % (tp[0], tp[1], mas, tp[2]))
tp = AnalisisIndexes.tp_gamestage(cp, mrm)
litxt.append('<tr><th>%s</th><td align="right">%d</td><td>%s</td></tr>' % (tp[0], tp[1], tp[2]))
pts = mrm.liMultiPV[0].puntosABS()
if pts:
w, b = _("White"), _("Black")
siW = "w" in self.fen
if pts > 0:
mas = w if siW else b
elif pts < 0:
mas = b if siW else w
mas += "-"
else:
mas = ""
tr(AnalisisIndexes.tp_winprobability(cp, mrm), mas)
tr(AnalisisIndexes.tp_complexity(cp, mrm))
tr(AnalisisIndexes.tp_efficientmobility(cp, mrm))
tr(AnalisisIndexes.tp_narrowness(cp, mrm))
tr(AnalisisIndexes.tp_piecesactivity(cp, mrm))
tr(AnalisisIndexes.tp_exchangetendency(cp, mrm))
tp = AnalisisIndexes.tp_positionalpressure(cp, mrm)
litxt.append('<tr><th>%s</th><td align="right">%dcp</td><td></td></tr>' % (tp[0], int(tp[1])))
tr(AnalisisIndexes.tp_materialasymmetry(cp, mrm))
# tr(AnalisisIndexes.tp_test1(cp, mrm))
# tr(AnalisisIndexes.tp_test2(cp, mrm))
# tr(AnalisisIndexes.tp_test3(cp, mrm))
# tr(AnalisisIndexes.tp_test4(cp, mrm))
# tr(AnalisisIndexes.tp_test5(cp, mrm))
litxt.append("</table>")
self.em.ponHtml("".join(litxt))
self.lock = False
def xprocesa(self, game, tmp_bp):
self.si_bmt_blunders = False
self.si_bmt_brilliancies = False
si_bp2 = hasattr(
tmp_bp, "bp2"
) # Para diferenciar el analisis de una game que usa una progressbar unica del
# analisis de muchas, que usa doble
def gui_dispatch(xrm):
return not tmp_bp.is_canceled()
self.xgestor.ponGuiDispatch(
gui_dispatch
) # Dispatch del engine, si esta puesto a 4 minutos por ejemplo que
# compruebe si se ha indicado que se cancele.
si_blunders = self.kblunders > 0
si_brilliancies = self.fnsbrilliancies or self.pgnbrilliancies or self.bmtbrilliancies
if self.bmtblunders and self.bmt_listaBlunders is None:
self.bmt_listaBlunders = BMT.BMTLista()
if self.bmtbrilliancies and self.bmt_listaBrilliancies is None:
self.bmt_listaBrilliancies = BMT.BMTLista()
xlibro_aperturas = self.book
is_white = self.white
is_black = self.black
if self.li_players:
for x in ["BLACK", "WHITE"]:
player = game.get_tag(x)
if player:
si = False
for uno in self.li_players:
si_z = uno.endswith("*")
si_a = uno.startswith("*")
uno = uno.replace("*", "").strip().upper()
if si_a:
if player.endswith(uno):
si = True
if si_z: # form para poner si_a y si_z
si = uno in player
elif si_z:
if player.startswith(uno):
si = True
elif uno == player:
si = True
if si:
break
if not si:
if x == "BLACK":
is_black = False
else:
is_white = False
if not (is_white or is_black):
return
cl_game = Util.microsegundos_rnd()
txt_game = game.save()
si_poner_pgn_original_blunders = False
si_poner_pgn_original_brilliancies = False
n_jugadas = len(game)
if self.li_selected:
li_moves = self.li_selected
else:
li_moves = list(range(n_jugadas))
if xlibro_aperturas:
li_borrar = []
for pos, njg in enumerate(li_moves):
if tmp_bp.is_canceled():
self.xgestor.remove_gui_dispatch()
return
# # Si esta en el libro
move = game.move(njg)
if xlibro_aperturas.miraListaJugadas(
move.position_before.fen()):
li_borrar.append(pos)
continue
else:
break
if li_borrar:
li_borrar.reverse()
for x in li_borrar:
del li_moves[x]
if self.from_last_move:
li_moves.reverse()
n_jugadas = len(li_moves)
if si_bp2:
tmp_bp.ponTotal(2, n_jugadas)
else:
tmp_bp.ponTotal(n_jugadas)
for npos, njg in enumerate(li_moves):
if tmp_bp.is_canceled():
self.xgestor.remove_gui_dispatch()
return
move = game.move(njg)
if si_bp2:
tmp_bp.pon(2, npos + 1)
else:
tmp_bp.pon(npos)
if self.rut_dispatch_bp:
self.rut_dispatch_bp(npos, n_jugadas, njg)
if tmp_bp.is_canceled():
self.xgestor.remove_gui_dispatch()
return
# # Fin de game
# if move.siJaqueMate or move.is_draw:
# continue
# # white y black
is_white = move.position_before.is_white
if is_white:
if not is_white:
continue
else:
if not is_black:
continue
# -# previos
if self.delete_previous:
move.analysis = None
# -# Procesamos
if move.analysis is None:
resp = self.xgestor.analizaJugadaPartida(
game,
njg,
self.vtime,
depth=self.depth,
brDepth=self.dpbrilliancies,
brPuntos=self.ptbrilliancies,
stability=self.stability,
st_centipawns=self.st_centipawns,
st_depths=self.st_depths,
st_timelimit=self.st_timelimit,
)
if not resp:
self.xgestor.remove_gui_dispatch()
return
move.analysis = resp
cp = move.position_before
mrm, pos_act = move.analysis
move.complexity = AnalisisIndexes.calc_complexity(cp, mrm)
move.winprobability = AnalisisIndexes.calc_winprobability(cp, mrm)
move.narrowness = AnalisisIndexes.calc_narrowness(cp, mrm)
move.efficientmobility = AnalisisIndexes.calc_efficientmobility(
cp, mrm)
move.piecesactivity = AnalisisIndexes.calc_piecesactivity(cp, mrm)
move.exchangetendency = AnalisisIndexes.calc_exchangetendency(
cp, mrm)
if si_blunders or si_brilliancies or self.with_variations:
rm = mrm.li_rm[pos_act]
rm.ponBlunder(0)
mj = mrm.li_rm[0]
rm_pts = rm.centipawns_abs()
dif = mj.centipawns_abs() - rm_pts
fen = move.position_before.fen()
if self.with_variations:
limite = self.alm.limit_include_variations
if (limite == 0) or (dif >= limite):
if not (self.alm.best_variation and dif == 0):
move.analisis2variantes(self.alm,
self.delete_previous)
if dif >= self.kblunders:
rm.ponBlunder(dif)
self.graba_tactic(game, njg, mrm, pos_act)
if self.save_pgn(self.pgnblunders, mrm.name,
game.dicTags(), fen, move, rm, mj):
si_poner_pgn_original_blunders = True
if self.bmtblunders:
self.save_bmt(True, fen, mrm, pos_act, cl_game,
txt_game)
self.si_bmt_blunders = True
if rm.level_brilliant():
move.add_nag(NAG_3)
self.save_fns(self.fnsbrilliancies, fen)
if self.save_pgn(self.pgnbrilliancies, mrm.name,
game.dicTags(), fen, move, rm, None):
si_poner_pgn_original_brilliancies = True
if self.bmtbrilliancies:
self.save_bmt(False, fen, mrm, pos_act, cl_game,
txt_game)
self.si_bmt_brilliancies = True
else:
nag, color = mrm.set_nag_color(self.configuracion, rm)
if nag:
move.add_nag(nag)
# Ponemos el texto original en la ultima
if si_poner_pgn_original_blunders and self.oriblunders:
with open(self.pgnblunders,
"at",
encoding="utf-8",
errors="ignore") as q:
q.write("\n%s\n\n" % game.pgn())
if si_poner_pgn_original_brilliancies and self.oribrilliancies:
with open(self.pgnbrilliancies,
"at",
encoding="utf-8",
errors="ignore") as q:
q.write("\n%s\n\n" % game.pgn())
self.xgestor.remove_gui_dispatch()
