Coverage for Stats.py: 0%
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1#!/usr/bin/env python
2# -*- coding: utf-8 -*-
4"""Manage collecting and formatting of stats and tooltips."""
5# Copyright 2008-2011, Ray E. Barker
7#
8# This program is free software; you can redistribute it and/or modify
9# it under the terms of the GNU General Public License as published by
10# the Free Software Foundation; either version 2 of the License, or
11# (at your option) any later version.
12#
13# This program is distributed in the hope that it will be useful,
14# but WITHOUT ANY WARRANTY; without even the implied warranty of
15# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
16# GNU General Public License for more details.
17#
18# You should have received a copy of the GNU General Public License
19# along with this program; if not, write to the Free Software
20# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
22########################################################################
24# How to write a new stat:
25# 0 Do not use a name like "xyz_2". Names ending in _ and a single digit are
26# used to indicate the number of decimal places the user wants to see in the Hud.
27# 1 You can see a listing of all the raw stats (e.g., from the HudCache table)
28# by running Database.py as a stand along program. You need to combine
29# those raw stats to get stats to present to the HUD. If you need more
30# information than is in the HudCache table, then you have to write SQL.
31# 2 The raw stats seen when you run Database.py are available in the Stats.py
32# in the stat_dict dict. For example the number of vpips would be
33# stat_dict[player]['vpip']. So the % vpip is
34# float(stat_dict[player]['vpip'])/float(stat_dict[player]['n']). You can see how the
35# keys of stat_dict relate to the column names in HudCache by inspecting
36# the proper section of the SQL.py module.
37# The stat_dict keys should be in lower case, i.e. vpip not VPIP, since
38# postgres returns the column names in lower case.
39# 3 You have to write a small function for each stat you want to add. See
40# the vpip() function for example. This function has to be protected from
41# exceptions, using something like the try:/except: paragraphs in vpip.
42# 4 The name of the function has to be the same as the of the stat used
43# in the config file.
44# 5 The stat functions have a peculiar return value, which is outlined in
45# the do_stat function. This format is useful for tool tips and maybe
46# other stuff.
47# 6 All stats receive two params (stat_dict and player) - if these parameters contain
48# "None", the stat must return its description in tuple [5] and must not traceback
49# 7 Stats needing values from the hand instance can find these in _global_hand_instance.foo
50# attribute
53import L10n
54_ = L10n.get_translation()
56# Standard Library modules
57import sys
58from decimal import Decimal # needed by hand_instance in m_ratio
61import re
63# FreePokerTools modules
64import Configuration
65import Database
66import Charset
67import Card
68import Hand
70# String manipulation
71import codecs
72encoder = codecs.lookup(Configuration.LOCALE_ENCODING)
74import logging
75if __name__ == "__main__":
76 Configuration.set_logfile("fpdb-log.txt")
77# logging has been set up in fpdb.py or HUD_main.py, use their settings:
78log = logging.getLogger("db")
80re_Places = re.compile("_[0-9]$")
84# Since tuples are immutable, we have to create a new one when
85# overriding any decimal placements. Copy old ones and recreate the
86# second value in tuple to specified format-
87def __stat_override(decimals, stat_vals):
88 """
89 Returns a tuple with the first element of `stat_vals` as a float, the second element as a string
90 with `decimals` number of decimal places, and the remaining elements of `stat_vals`.
92 Parameters:
93 - decimals (int): The number of decimal places to round the first element of `stat_vals`.
94 - stat_vals (tuple): A tuple of values.
96 Returns:
97 - tuple: A tuple with the first element of `stat_vals` as a float, the second element as a string
98 with `decimals` number of decimal places, and the remaining elements of `stat_vals`.
99 """
100 s = '%.*f' % (decimals, 100.0*stat_vals[0])
101 return stat_vals[0], s, stat_vals[2], stat_vals[3], stat_vals[4], stat_vals[5]
104def do_tip(widget, tip):
105 """
106 Sets the tooltip of the given widget to the UTF-8 encoded version of the tip.
108 Parameters:
109 - widget: The widget to set the tooltip for.
110 - tip: The tip to encode and set as the tooltip.
112 Returns:
113 - None
114 """
115 _tip = Charset.to_utf8(tip)
116 widget.setToolTip(_tip)
119def do_stat(stat_dict, player = 24, stat = 'vpip', hand_instance = None):
120 """
121 Calculates a specific statistic for a given player in a hand.
123 Args:
124 stat_dict (dict): A dictionary containing statistics for all players in the hand.
125 player (int, optional): The player for whom to calculate the statistic. Defaults to 24.
126 stat (str, optional): The statistic to calculate. Defaults to 'vpip'.
127 hand_instance (object, optional): An instance of the hand. Defaults to None.
129 Returns:
130 The calculated statistic for the player, or None if the statistic is not in the list of available statistics.
132 Note:
133 The hand instance is not needed for many stat functions, so it is stored in a global variable to avoid having to conditionally pass the extra value.
134 If the statistic name ends with an underscore followed by a number, it is overridden with the specified number of decimal places.
135 The decimal place override assumes the raw result is a fraction (x/100), and manual decimal places only make sense for percentage values.
136 The profit/100 hands (bb/BB) already default to three decimal places anyhow, so they are unlikely override candidates.
137 """
138 #hand instance is not needed for many stat functions
139 #so this optional parameter will be stored in a global
140 #to avoid having to conditionally pass the extra value
141 global _global_hand_instance
142 _global_hand_instance = hand_instance
144 statname = stat
145 match = re_Places.search(stat)
146 if match: # override if necessary
147 statname = stat[0:-2]
149 if statname not in STATLIST:
150 return None
152 result = eval("%(stat)s(stat_dict, %(player)d)" %
153 {'stat': statname, 'player': player})
155 # If decimal places have been defined, override result[1]
156 # NOTE: decimal place override ALWAYS assumes the raw result is a
157 # fraction (x/100); manual decimal places really only make sense for
158 # percentage values. Also, profit/100 hands (bb/BB) already default
159 # to three decimal places anyhow, so they are unlikely override
160 # candidates.
161 if match:
162 places = int(stat[-1:])
163 result = __stat_override(places, result)
164 return result
166# OK, for reference the tuple returned by the stat is:
167# 0 - The stat, raw, no formating, eg 0.33333333
168# 1 - formatted stat with appropriate precision, eg. 33; shown in HUD
169# 2 - formatted stat with appropriate precision, punctuation and a hint, eg v=33%
170# 3 - same as #2 except name of stat instead of hint, eg vpip=33%
171# 4 - the calculation that got the stat, eg 9/27
172# 5 - the name of the stat, useful for a tooltip, eg vpip
174###########################################
175# functions that return individual stats
178def totalprofit(stat_dict, player):
179 """
180 Calculates the total profit for a given player.
182 Args:
183 stat_dict (dict): A dictionary containing player statistics.
184 player (int): The player for whom to calculate the total profit.
186 Returns:
187 tuple: A tuple containing the following values:
188 - stat (float): The total profit divided by 100.
189 - formatted_stat (str): The formatted total profit with two decimal places.
190 - tp_formatted_stat (str): The formatted total profit with two decimal places and a hint.
191 - tot_prof_formatted_stat (str): The formatted total profit with two decimal places and a hint.
192 - str_stat (str): The total profit as a string.
193 - stat_name (str): The name of the statistic.
195 If the 'net' key is not present in the stat_dict for the given player, or if the value cannot be converted to a float,
196 the function returns a tuple with default values:
197 - ('0', '$0.00', 'tp=0', 'totalprofit=0', '0', 'Total Profit')
198 """
199 try:
200 stat = float(stat_dict[player]['net']) / 100
201 return (stat/100.0, '$%.2f' % stat, 'tp=$%.2f' % stat, 'tot_prof=$%.2f' % stat, str(stat), 'Total Profit')
202 except:
203 return ('0', '$0.00', 'tp=0', 'totalprofit=0', '0', 'Total Profit')
205def playername(stat_dict, player):
206 """
207 Retrieves the player's screen name from the stat dictionary.
209 Args:
210 stat_dict (dict): A dictionary containing player statistics.
211 player (int): The player for whom to retrieve the screen name.
213 Returns:
214 tuple: A tuple containing the player's screen name repeated five times and a constant 'Player name' at the end. If the player's screen name is not found, it returns an empty string five times followed by 'Player name'.
215 """
216 try:
217 return (stat_dict[player]['screen_name'],
218 stat_dict[player]['screen_name'],
219 stat_dict[player]['screen_name'],
220 stat_dict[player]['screen_name'],
221 stat_dict[player]['screen_name'],
222 'Player name')
223 except:
224 return ("",
225 "",
226 "",
227 "",
228 "",
229 'Player name')
231def _calculate_end_stack(stat_dict, player, hand_instance):
232 """
233 Calculate the end stack size for a given player in a hand instance.
235 Args:
236 stat_dict (dict): A dictionary containing player statistics.
237 player (int): The player for whom to calculate the end stack size.
238 hand_instance (Hand): An instance of the Hand class representing the current hand.
240 Returns:
241 float: The end stack size for the given player.
243 Note:
244 This function is currently located in Stats.py but it should be moved to Hands.py since it belongs there.
246 Todo:
247 - Find a better way to calculate the end stack size from the hand_instance.
248 - Add a hand_instance "end_of_hand_stack" attribute.
249 """
250 #fixme - move this code into Hands.py - it really belongs there
252 #To reflect the end-of-hand position, we need a end-stack calculation
253 # fixme, is there an easier way to do this from the hand_instance???
254 # can't seem to find a hand_instance "end_of_hand_stack" attribute
256 #First, find player stack size at the start of the hand
257 stack = 0.0
258 for item in hand_instance.players:
259 if item[1] == stat_dict[player]['screen_name']:
260 stack = float(item[2])
262 #Next, deduct all action from this player
263 for street in hand_instance.bets:
264 for item in hand_instance.bets[street]:
265 if item == stat_dict[player]['screen_name']:
266 for amount in hand_instance.bets[street][stat_dict[player]['screen_name']]:
267 stack -= float(amount)
269 #Next, add back any money returned
270 for p in hand_instance.pot.returned:
271 if p == stat_dict[player]['screen_name']:
272 stack += float(hand_instance.pot.returned[p])
274 #Finally, add back any winnings
275 for item in hand_instance.collectees:
276 if item == stat_dict[player]['screen_name']:
277 stack += float(hand_instance.collectees[item])
278 return stack
280def m_ratio(stat_dict, player):
281 """
282 Calculate the M-ratio for a player in a tournament.
284 Args:
285 stat_dict (dict): A dictionary containing player statistics.
286 player (int): The player for whom to calculate the M-ratio.
288 Returns:
289 tuple: A tuple containing the M-ratio value and formatted strings.
291 Note:
292 This function calculates the M-ratio using the end-of-hand stack count versus the hand's antes/blinds.
293 """
294 #Tournament M-ratio calculation
295 # Using the end-of-hand stack count vs. that hand's antes/blinds
297 # sum all blinds/antes
298 stat = 0.0
299 compulsory_bets = 0.0
300 hand_instance=_global_hand_instance
302 if not hand_instance:
303 return ((stat/100.0),
304 '%d' % (int(stat)),
305 'M=%d' % (int(stat)),
306 'M=%d' % (int(stat)),
307 '(%d)' % (int(stat)),
308 'M ratio')
310 for p in hand_instance.bets['BLINDSANTES']:
311 for i in hand_instance.bets['BLINDSANTES'][p]:
312 compulsory_bets += float(i)
313 compulsory_bets += float(hand_instance.gametype['sb'])
314 compulsory_bets += float(hand_instance.gametype['bb'])
316 stack = _calculate_end_stack(stat_dict, player, hand_instance)
318 if compulsory_bets != 0:
319 stat = stack / compulsory_bets
320 else:
321 stat = 0
323 return ((int(stat)),
324 '%d' % (int(stat)),
325 'M=%d' % (int(stat)),
326 'M=%d' % (int(stat)),
327 '(%d)' % (int(stat)),
328 'M ratio')
330def bbstack(stat_dict, player):
331 """
332 Calculate the tournament stack size in Big Blinds.
334 Args:
335 stat_dict (dict): A dictionary containing player statistics.
336 player (int): The player for whom to calculate the stack size.
338 Returns:
339 tuple: A tuple containing the stack size in Big Blinds and related information.
341 Note:
342 This function calculates the stack size in Big Blinds based on the end of hand stack count and the current Big Blind limit.
343 """
344 #Tournament Stack calculation in Big Blinds
345 #Result is end of hand stack count / Current Big Blind limit
346 stat=0.0
347 hand_instance = _global_hand_instance
348 if not(hand_instance):
349 return (stat,
350 'NA',
351 'v=NA',
352 'vpip=NA',
353 '(0/0)',
354 'bb stack')
356 # current big blind limit
358 current_bigblindlimit = 0
359 current_bigblindlimit += float(hand_instance.gametype['bb'])
361 stack = _calculate_end_stack(stat_dict, player, hand_instance)
363 if current_bigblindlimit != 0:
364 stat = stack / current_bigblindlimit
365 else:
366 stat = 0
368 return ((stat/100.0),
369 '%d' % (int(stat)),
370 "bb's=%d" % (int(stat)),
371 "#bb's=%d" % (int(stat)),
372 '(%d)' % (int(stat)),
373 'bb stack')
375def playershort(stat_dict, player):
376 """
377 Retrieves the shortened screen name of a player from the given stat_dict.
379 Args:
380 stat_dict (dict): A dictionary containing player statistics.
381 player (int): The player for whom to retrieve the shortened screen name.
383 Returns:
384 tuple: A tuple containing the shortened screen name and related information.
386 Raises:
387 KeyError: If the player's screen name is not found in the stat_dict.
389 Note:
390 If the length of the screen name is greater than 6, it is truncated to 5 characters and a dot is appended.
391 The returned tuple contains the shortened screen name repeated 5 times and the player's full screen name.
392 """
393 try:
394 r = stat_dict[player]['screen_name']
395 except:
396 return ("","","","","",
397 ("Player Name")+" 1-5")
399 if (len(r) > 6):
400 r = r[:5] + "."
401 return (r,
402 r,
403 r,
404 r,
405 stat_dict[player]['screen_name'],
406 ("Player Name")+" 1-5")
409def vpip(stat_dict, player):
410 """
411 A function to calculate and return VPIP (Voluntarily Put In Pot) percentage.
413 Args:
414 stat_dict (dict): A dictionary containing player statistics.
415 player (str): The player for whom to calculate the VPIP.
417 Returns:
418 tuple: A tuple containing:
419 - VPIP percentage (float)
420 - VPIP percentage formatted as a string
421 - 'v=' followed by VPIP percentage formatted as a percentage string
422 - 'vpip=' followed by VPIP percentage formatted as a percentage string
423 - '(x/y)' where x is the VPIP and y is VPIP opportunities
424 - 'Voluntarily put in preflop/3rd street %'
426 If an error occurs, returns:
427 - 0.0
428 - 'NA'
429 - 'v=NA'
430 - 'vpip=NA'
431 - '(0/0)'
432 - 'Voluntarily put in preflop/3rd street %'
433 """
434 stat = 0.0
435 try:
436 stat = float(stat_dict[player]['vpip'])/float(stat_dict[player]['vpip_opp'])
437 return (stat,
438 '%3.1f' % (100.0*stat),
439 'v=%3.1f%%' % (100.0*stat),
440 'vpip=%3.1f%%' % (100.0*stat),
441 '(%d/%d)' % (stat_dict[player]['vpip'], stat_dict[player]['vpip_opp']),
442 'Voluntarily put in preflop/3rd street %')
444 except: return (stat,
445 'NA',
446 'v=NA',
447 'vpip=NA',
448 '(0/0)',
449 'Voluntarily put in preflop/3rd street %')
453def pfr(stat_dict, player):
454 """
455 Calculate and return the preflop raise percentage (pfr) for a player.
457 Args:
458 stat_dict (dict): A dictionary containing player statistics.
459 player (int): The player for whom the pfr is calculated.
461 Returns:
462 tuple: A tuple containing the pfr value, formatted pfr percentages, and related information.
463 """
464 stat = 0.0
465 try:
466 stat = float(stat_dict[player]['pfr'])/float(stat_dict[player]['pfr_opp'])
467 return (stat,
468 '%3.1f' % (100.0*stat),
469 'p=%3.1f%%' % (100.0*stat),
470 'pfr=%3.1f%%' % (100.0*stat),
471 '(%d/%d)' % (stat_dict[player]['pfr'], stat_dict[player]['pfr_opp']),
472 'Preflop/3rd street raise %')
474 except:
475 return (stat,
476 'NA',
477 'p=NA',
478 'pfr=NA',
479 '(0/0)',
480 'Preflop/3rd street raise %')
483def wtsd(stat_dict, player):
484 """
485 Calculate and return the percentage of hands where a player went to showdown when seen flop/4th street.
487 Args:
488 stat_dict (dict): A dictionary containing player statistics.
489 player (int): The player for whom the percentage is calculated.
491 Returns:
492 tuple: A tuple containing the percentage value, formatted percentage percentages, and related information.
493 """
494 stat = 0.0
495 try:
496 stat = float(stat_dict[player]['sd'])/float(stat_dict[player]['saw_f'])
497 return (stat,
498 '%3.1f' % (100.0*stat),
499 'w=%3.1f%%' % (100.0*stat),
500 'wtsd=%3.1f%%' % (100.0*stat),
501 '(%d/%d)' % (stat_dict[player]['sd'], stat_dict[player]['saw_f']),
502 '% went to showdown when seen flop/4th street')
504 except:
505 return (stat,
506 'NA',
507 'w=NA',
508 'wtsd=NA',
509 '(0/0)',
510 '% went to showdown when seen flop/4th street')
513def wmsd(stat_dict, player):
514 """
515 Calculate and return the win money at showdown (wmsd) statistics for a player.
517 Args:
518 stat_dict (dict): A dictionary containing player statistics.
519 player (int): The player for whom the wmsd is calculated.
521 Returns:
522 tuple: A tuple containing the wmsd value, formatted wmsd percentages, and related information.
523 """
524 stat = 0.0
525 try:
526 stat = float(stat_dict[player]['wmsd'])/float(stat_dict[player]['sd'])
527 return (stat,
528 '%3.1f' % (100.0*stat),
529 'w=%3.1f%%' % (100.0*stat),
530 'wmsd=%3.1f%%' % (100.0*stat),
531 '(%5.1f/%d)' % (float(stat_dict[player]['wmsd']), stat_dict[player]['sd']),
532 '% won some money at showdown')
534 except:
535 return (stat,
536 'NA',
537 'w=NA',
538 'wmsd=NA',
539 '(0/0)',
540 '% won some money at showdown')
543# Money is stored as pennies, so there is an implicit 100-multiplier
544# already in place
545def profit100(stat_dict, player):
546 """
547 Calculate the profit per 100 hands for a given player.
549 Args:
550 stat_dict (dict): A dictionary containing player statistics.
551 player (int): The player for whom the profit per 100 hands is calculated.
553 Returns:
554 tuple: A tuple containing the profit per 100 hands value, formatted profit percentages, and related information.
556 Raises:
557 None
559 Notes:
560 - The profit per 100 hands is calculated by dividing the net winnings by the number of hands played.
561 - The function returns a tuple containing the profit per 100 hands value, formatted profit percentages, and related information.
562 - If an exception occurs during the calculation, the function returns a tuple with default values.
563 - The function logs an exception message if the stat_dict is not empty.
564 """
565 stat = 0.0
566 try:
567 stat = float(stat_dict[player]['net'])/float(stat_dict[player]['n'])
568 return (stat/100.0,
569 '%.2f' % (stat),
570 'p=%.2f' % (stat),
571 'p/100=%.2f' % (stat),
572 '%d/%d' % (stat_dict[player]['net'], stat_dict[player]['n']),
573 'Profit per 100 hands')
575 except:
576 if stat_dict: log.info("exception calculating %s") % ("p/100: 100 * %d / %d" % (stat_dict[player]['net'], stat_dict[player]['n']))
577 return (stat,
578 'NA',
579 'p=NA',
580 'p/100=NA',
581 '(0/0)',
582 'Profit per 100 hands')
585def bbper100(stat_dict, player):
586 """
587 Calculate the number of big blinds won per 100 hands for a given player.
589 Args:
590 stat_dict (dict): A dictionary containing player statistics.
591 player (int): The player for whom the number of big blinds won per 100 hands is calculated.
593 Returns:
594 tuple: A tuple containing the number of big blinds won per 100 hands value, formatted values, and related information.
596 Raises:
597 None
599 Notes:
600 - The number of big blinds won per 100 hands is calculated by dividing the net winnings by the number of hands played, multiplied by 100.
601 - The function returns a tuple containing the number of big blinds won per 100 hands value, formatted values, and related information.
602 - If an exception occurs during the calculation, the function returns a tuple with default values.
603 - The function logs an exception message if the stat_dict is not empty.
604 """
605 stat = 0.0
606 #['bigblind'] is already containing number of hands * table's bigblind (e.g. 401 hands @ 5c BB = 2005)
607 try:
608 stat = 100.0 * float(stat_dict[player]['net']) / float(stat_dict[player]['bigblind'])
609 return (stat/100.0,
610 '%5.3f' % (stat),
611 'bb100=%5.3f' % (stat),
612 'bb100=%5.3f' % (stat),
613 '(%d,%d)' % (100*stat_dict[player]['net'],stat_dict[player]['bigblind']),
614 'Big blinds won per 100 hands')
616 except:
617 if stat_dict: log.info("exception calculating %s") % ("bb/100: "+str(stat_dict[player]))
618 return (stat,
619 'NA',
620 'bb100=NA',
621 'bb100=NA',
622 '(--)',
623 'Big blinds won per 100 hands')
626def BBper100(stat_dict, player):
627 """
628 Calculate the number of big bets won per 100 hands for a given player.
630 Args:
631 stat_dict (dict): A dictionary containing player statistics.
632 player (int): The player for whom the number of big bets won per 100 hands is calculated.
634 Returns:
635 tuple: A tuple containing the number of big bets won per 100 hands value, formatted values, and related information.
637 Notes:
638 - The number of big bets won per 100 hands is calculated by dividing the net winnings by the big blind value, multiplied by 50.
639 - The function returns a tuple containing the number of big bets won per 100 hands value, formatted values, and related information.
640 - If an exception occurs during the calculation, the function returns a tuple with default values.
641 - The function logs an exception message if the stat_dict is not empty.
642 """
643 stat = 0.0
644 #['bigblind'] is already containing number of hands * table's bigblind (e.g. 401 hands @ 5c BB = 2005)
645 try:
646 stat = 50 * float(stat_dict[player]['net']) / float(stat_dict[player]['bigblind'])
647 return (stat/100.0,
648 '%5.3f' % (stat),
649 'BB100=%5.3f' % (stat),
650 'BB100=%5.3f' % (stat),
651 '(%d,%d)' % (100*stat_dict[player]['net'],2*stat_dict[player]['bigblind']),
652 'Big bets won per 100 hands')
654 except:
655 if stat_dict: log.info("exception calculating %s") % ("BB/100: "+str(stat_dict[player]))
656 return (stat,
657 'NA',
658 'BB100=NA',
659 'BB100=NA',
660 '(--)',
661 'Big bets won per 100 hands')
664def saw_f(stat_dict, player):
666 """Calculate the saw flop percentage for a given player.
668 Args:
669 stat_dict (dict): A dictionary containing player statistics.
670 player (int): The player for whom the saw flop percentage is calculated.
672 Returns:
673 tuple: A tuple containing the saw flop percentage in various formats.
674 - The saw flop percentage as a float.
675 - The saw flop percentage formatted to one decimal place.
676 - The saw flop percentage with a label.
677 - The saw flop percentage with a different label.
678 - The count of times saw flop divided by total count.
679 - A description of the statistic.
681 If an error occurs during calculation, default values are returned.
682 """
683 try:
684 num = float(stat_dict[player]['saw_f'])
685 den = float(stat_dict[player]['n'])
686 stat = num/den
687 return (stat,
688 '%3.1f' % (100.0*stat),
689 'sf=%3.1f%%' % (100.0*stat),
690 'saw_f=%3.1f%%' % (100.0*stat),
691 '(%d/%d)' % (stat_dict[player]['saw_f'], stat_dict[player]['n']),
692 'Flop/4th street seen %')
694 except:
695 stat = 0.0
696 return (stat,
697 'NA',
698 'sf=NA',
699 'saw_f=NA',
700 '(0/0)',
701 'Flop/4th street seen %')
704def n(stat_dict, player):
705 '''
706 Calculate and format the number of hands seen for a player.
708 Args:
709 stat_dict (dict): A dictionary containing player statistics.
710 player (int): The player for whom the number of hands seen is calculated.
712 Returns:
713 tuple: A tuple containing formatted strings representing the number of hands seen in different ways.
714 '''
715 try:
716 # If sample is large enough, use X.Yk notation instead
717 _n = stat_dict[player]['n']
718 fmt = '%d' % _n
719 if _n >= 10000:
720 k = _n / 1000
721 c = _n % 1000
722 _c = float(c) / 100.0
723 d = int(round(_c))
724 if d == 10:
725 k += 1
726 d = 0
727 fmt = '%d.%dk' % (k, d)
728 return (stat_dict[player]['n'],
729 '%s' % fmt,
730 'n=%d' % (stat_dict[player]['n']),
731 'n=%d' % (stat_dict[player]['n']),
732 '(%d)' % (stat_dict[player]['n']),
733 'Number of hands seen')
735 except:
736 # Number of hands shouldn't ever be "NA"; zeroes are better here
737 return (0,
738 '%d' % (0),
739 'n=%d' % (0),
740 'n=%d' % (0),
741 '(%d)' % (0),
742 'Number of hands seen')
745def steal(stat_dict, player):
746 """
747 Calculate and format the steal percentage for a player.
749 Args:
750 stat_dict (dict): A dictionary containing player statistics.
751 player (int): The player for whom the steal percentage is calculated.
753 Returns:
754 tuple: A tuple containing formatted strings representing the steal percentage in different ways.
755 - stat (float): The steal percentage.
756 - '%3.1f' (str): The steal percentage formatted as a string with 3 decimal places.
757 - 'st=%3.1f%%' (str): The steal percentage formatted as a string with 3 decimal places and a percentage sign.
758 - 'steal=%3.1f%%' (str): The steal percentage formatted as a string with 3 decimal places and a percentage sign.
759 - '(%d/%d)' (str): The steal count and steal opponent count formatted as a string.
760 - '% steal attempted' (str): The description of the steal percentage.
762 Raises:
763 None
765 Notes:
766 - The steal percentage is calculated by dividing the steal count by the steal opponent count.
767 - If any of the required statistics are missing, the function returns default values.
768 """
769 stat = 0.0
770 try:
771 stat = float(stat_dict[player]['steal'])/float(stat_dict[player]['steal_opp'])
772 return (stat,
773 '%3.1f' % (100.0*stat),
774 'st=%3.1f%%' % (100.0*stat),
775 'steal=%3.1f%%' % (100.0*stat),
776 '(%d/%d)' % (stat_dict[player]['steal'], stat_dict[player]['steal_opp']),
777 '% steal attempted')
779 except:
780 return (stat, 'NA', 'st=NA', 'steal=NA', '(0/0)', '% steal attempted')
782def s_steal(stat_dict, player):
783 """
784 Calculate and format the steal success percentage for a player.
786 Args:
787 stat_dict (dict): A dictionary containing player statistics.
788 player (int): The player for whom the steal success percentage is calculated.
790 Returns:
791 tuple: A tuple containing formatted strings representing the steal success percentage in different ways.
792 - stat (float): The steal success percentage.
793 - '%3.1f' (str): The steal success percentage formatted as a string with 3 decimal places.
794 - 's_st=%3.1f%%' (str): The steal success percentage formatted with a specific label.
795 - 's_steal=%3.1f%%' (str): The steal success percentage formatted with a specific label.
796 - '(%d/%d)' (str): The steal success count and total steal count formatted as a string.
797 - '% steal success' (str): The description of the steal success percentage.
799 Raises:
800 None
801 """
802 stat = 0.0
803 try:
804 stat = float(stat_dict[player]['suc_st'])/float(stat_dict[player]['steal'])
805 return (stat,
806 '%3.1f' % (100.0*stat),
807 's_st=%3.1f%%' % (100.0*stat),
808 's_steal=%3.1f%%' % (100.0*stat),
809 '(%d/%d)' % (stat_dict[player]['suc_st'], stat_dict[player]['steal']),
810 '% steal success')
812 except:
813 return (stat, 'NA', 'st=NA', 's_steal=NA', '(0/0)', '% steal success')
815def f_SB_steal(stat_dict, player):
816 """
817 Calculate the folded Small Blind (SB) to steal statistics for a player.
819 Args:
820 stat_dict (dict): A dictionary containing player statistics.
821 player (int): The player for whom the statistics are calculated.
823 Returns:
824 tuple: A tuple containing the folded SB to steal statistics.
825 - stat (float): The folded SB to steal percentage.
826 - '%3.1f' (str): The folded SB to steal percentage formatted as a string with 3 decimal places.
827 - 'fSB=%3.1f%%' (str): The folded SB to steal percentage formatted with a specific label.
828 - 'fSB_s=%3.1f%%' (str): The folded SB to steal percentage formatted with a specific label.
829 - '(%d/%d)' (str): The number of folded SB to steal and the total number of folded SB formatted as a string.
830 - '% folded SB to steal' (str): The description of the folded SB to steal percentage.
832 Raises:
833 None
834 """
835 stat = 0.0
836 try:
837 stat = float(stat_dict[player]['sbnotdef'])/float(stat_dict[player]['sbstolen'])
838 return (stat,
839 '%3.1f' % (100.0*stat),
840 'fSB=%3.1f%%' % (100.0*stat),
841 'fSB_s=%3.1f%%' % (100.0*stat),
842 '(%d/%d)' % (stat_dict[player]['sbnotdef'], stat_dict[player]['sbstolen']),
843 '% folded SB to steal')
844 except:
845 return (stat,
846 'NA',
847 'fSB=NA',
848 'fSB_s=NA',
849 '(0/0)',
850 '% folded SB to steal')
852def f_BB_steal(stat_dict, player):
853 """Calculate the folded Big Blind (BB) to steal statistics for a player.
855 Args:
856 stat_dict (dict): A dictionary containing player statistics.
857 player (int): The player for whom the statistics are calculated.
859 Returns:
860 tuple: A tuple containing the calculated statistics in different formats:
861 - Float: The calculated statistic.
862 - String: The statistic formatted as a percentage with one decimal place.
863 - String: A formatted string representing the statistic.
864 - String: A formatted string representing the statistic with a suffix.
865 - String: A formatted string showing the count of BB not defended and BB stolen.
866 - String: A description of the statistic.
868 If an exception occurs during the calculation, returns default values for the statistics.
869 """
870 stat = 0.0
871 try:
872 stat = float(stat_dict[player]['bbnotdef'])/float(stat_dict[player]['bbstolen'])
873 return (stat,
874 '%3.1f' % (100.0*stat),
875 'fBB=%3.1f%%' % (100.0*stat),
876 'fBB_s=%3.1f%%' % (100.0*stat),
877 '(%d/%d)' % (stat_dict[player]['bbnotdef'], stat_dict[player]['bbstolen']),
878 '% folded BB to steal')
879 except:
880 return (stat,
881 'NA',
882 'fBB=NA',
883 'fBB_s=NA',
884 '(0/0)',
885 '% folded BB to steal')
887def f_steal(stat_dict, player):
888 """
889 Calculate the folded blind to steal statistics for a player.
891 Args:
892 stat_dict (dict): A dictionary containing player statistics.
893 player (int): The player for whom the statistics are calculated.
895 Returns:
896 tuple: A tuple containing the calculated statistics in different formats:
897 - Float: The calculated statistic.
898 - String: The statistic formatted as a percentage with one decimal place.
899 - String: A formatted string representing the statistic.
900 - String: A formatted string representing the statistic with a suffix.
901 - String: A formatted string showing the count of folded blind not defended and blind stolen.
902 - String: A description of the statistic.
904 If an exception occurs during the calculation, returns default values for the statistics.
905 """
906 stat = 0.0
907 try:
908 folded_blind = stat_dict[player]['sbnotdef'] + stat_dict[player]['bbnotdef']
909 blind_stolen = stat_dict[player]['sbstolen'] + stat_dict[player]['bbstolen']
911 stat = float(folded_blind)/float(blind_stolen)
912 return (stat,
913 '%3.1f' % (100.0*stat),
914 'fB=%3.1f%%' % (100.0*stat),
915 'fB_s=%3.1f%%' % (100.0*stat),
916 '(%d/%d)' % (folded_blind, blind_stolen),
917 '% folded blind to steal')
918 except:
919 return (stat,
920 'NA',
921 'fB=NA',
922 'fB_s=NA',
923 '(0/0)',
924 '% folded blind to steal')
926def three_B(stat_dict, player):
927 """
928 Calculate the three bet statistics for a player.
930 Args:
931 stat_dict (dict): A dictionary containing player statistics.
932 player (int): The player for whom the statistics are calculated.
934 Returns:
935 tuple: A tuple containing the calculated statistics in different formats:
936 - Float: The calculated statistic.
937 - String: The statistic formatted as a percentage with one decimal place.
938 - String: A formatted string representing the statistic.
939 - String: A formatted string representing the statistic with a suffix.
940 - String: A formatted string showing the count of three bets made and opponent's three bets.
941 - String: A description of the statistic.
943 If an exception occurs during the calculation, returns default values for the statistics.
944 """
945 stat = 0.0
946 try:
947 stat = float(stat_dict[player]['tb_0'])/float(stat_dict[player]['tb_opp_0'])
948 return (stat,
949 '%3.1f' % (100.0*stat),
950 '3B=%3.1f%%' % (100.0*stat),
951 '3B_pf=%3.1f%%' % (100.0*stat),
952 '(%d/%d)' % (stat_dict[player]['tb_0'], stat_dict[player]['tb_opp_0']),
953 '% 3 bet preflop/3rd street')
954 except:
955 return (stat,
956 'NA',
957 '3B=NA',
958 '3B_pf=NA',
959 '(0/0)',
960 '% 3 bet preflop/3rd street')
962def four_B(stat_dict, player):
963 """
965 Calculate the four bet statistics for a player.
967 Args:
968 stat_dict (dict): A dictionary containing player statistics.
969 player (int): The player for whom the statistics are calculated.
971 Returns:
972 tuple: A tuple containing the calculated statistics in different formats:
973 - Float: The calculated statistic.
974 - String: The statistic formatted as a percentage with one decimal place.
975 - String: A formatted string representing the statistic.
976 - String: A formatted string representing the statistic with a suffix.
977 - String: A formatted string showing the count of four bets made and opponent's four bets.
978 - String: A description of the statistic.
980 If an exception occurs during the calculation, returns default values for the statistics.
982 """
983 stat = 0.0
984 try:
985 stat = float(stat_dict[player]['fb_0'])/float(stat_dict[player]['fb_opp_0'])
986 return (stat,
987 '%3.1f' % (100.0*stat),
988 '4B=%3.1f%%' % (100.0*stat),
989 '4B=%3.1f%%' % (100.0*stat),
990 '(%d/%d)' % (stat_dict[player]['fb_0'], stat_dict[player]['fb_opp_0']),
991 '% 4 bet preflop/3rd street')
992 except:
993 return (stat,
994 'NA',
995 '4B=NA',
996 '4B=NA',
997 '(0/0)',
998 '% 4 bet preflop/3rd street')
1000def cfour_B(stat_dict, player):
1001 """
1002 Calculate the cold 4 bet statistics for a player.
1004 Args:
1005 stat_dict (dict): A dictionary containing player statistics.
1006 player (int): The player for whom the statistics are calculated.
1008 Returns:
1009 tuple: A tuple containing the calculated statistics in different formats:
1010 - Float: The calculated statistic.
1011 - String: The statistic formatted as a percentage with one decimal place.
1012 - String: A formatted string representing the statistic.
1013 - String: A formatted string representing the statistic with a suffix.
1014 - String: A formatted string showing the count of cold 4 bets made and opponent's cold 4 bets.
1015 - String: A description of the statistic.
1017 If an exception occurs during the calculation, returns default values for the statistics.
1018 """
1019 stat = 0.0
1020 try:
1021 stat = float(stat_dict[player]['cfb_0'])/float(stat_dict[player]['cfb_opp_0'])
1022 return (stat,
1023 '%3.1f' % (100.0*stat),
1024 'C4B=%3.1f%%' % (100.0*stat),
1025 'C4B_pf=%3.1f%%' % (100.0*stat),
1026 '(%d/%d)' % (stat_dict[player]['cfb_0'], stat_dict[player]['cfb_opp_0']),
1027 '% cold 4 bet preflop/3rd street')
1028 except:
1029 return (stat,
1030 'NA',
1031 'C4B=NA',
1032 'C4B_pf=NA',
1033 '(0/0)',
1034 '% cold 4 bet preflop/3rd street')
1036# Four Bet Range
1037def fbr(stat_dict, player):
1038 """
1039 A function to calculate the four bet range statistics for a player.
1041 Args:
1042 stat_dict (dict): A dictionary containing player statistics.
1043 player (int): The player for whom the statistics are calculated.
1045 Returns:
1046 tuple: A tuple containing the calculated statistics in different formats:
1047 - Float: The calculated statistic.
1048 - String: The statistic formatted as a percentage with one decimal place.
1049 - String: A formatted string representing the statistic.
1050 - String: A formatted string representing the statistic with a suffix.
1051 - String: A formatted string showing the product of 'pfr' and 'four_B'.
1052 - String: A description of the statistic.
1054 If an exception occurs during the calculation, returns default values for the statistics.
1055 """
1056 stat = 0.0
1057 try:
1058 stat = float(stat_dict[player]['fb_0'])/float(stat_dict[player]['fb_opp_0'])
1059 stat *= float(stat_dict[player]['pfr'])/float(stat_dict[player]['n'])
1060 return (stat,
1061 '%3.1f' % (100.0*stat),
1062 'fbr=%3.1f%%' % (100.0*stat),
1063 '4Brange=%3.1f%%' % (100.0*stat),
1064 '(pfr*four_B)',
1065 '4 bet range')
1066 except:
1067 return (stat,
1068 'NA',
1069 'fbr=NA',
1070 'fbr=NA',
1071 '(pfr*four_B)',
1072 '4 bet range')
1074# Call 3 Bet
1075def ctb(stat_dict, player):
1076 """
1077 A function to calculate the four bet range statistics for a player.
1079 Args:
1080 stat_dict (dict): A dictionary containing player statistics.
1081 player (int): The player for whom the statistics are calculated.
1083 Returns:
1084 tuple: A tuple containing the calculated statistics in different formats:
1085 - Float: The calculated statistic.
1086 - String: The statistic formatted as a percentage with one decimal place.
1087 - String: A formatted string representing the statistic.
1088 - String: A formatted string representing the statistic with a suffix.
1089 - String: A formatted string showing the product of 'pfr' and 'four_B'.
1090 - String: A description of the statistic.
1092 If an exception occurs during the calculation, returns default values for the statistics.
1093 """
1094 stat = 0.0
1095 try:
1096 stat = (float(stat_dict[player]['f3b_opp_0'])-float(stat_dict[player]['f3b_0'])-float(stat_dict[player]['fb_0']))/float(stat_dict[player]['f3b_opp_0'])
1097 return (stat,
1098 '%3.1f' % (100.0*stat),
1099 'ctb=%3.1f%%' % (100.0*stat),
1100 'call3B=%3.1f%%' % (100.0*stat),
1101 '(%d/%d)' % (float(stat_dict[player]['f3b_opp_0'])-stat_dict[player]['fb_0']-stat_dict[player]['f3b_0'], stat_dict[player]['fb_opp_0']),
1102 '% call 3 bet')
1103 except:
1104 return (stat,
1105 'NA',
1106 'ctb=NA',
1107 'ctb=NA',
1108 '(0/0)',
1109 '% call 3 bet')
1111def dbr1(stat_dict, player):
1112 """Calculate and return the Donk Bet and Raise statistic for a given player on flop/4th street.
1114 Args:
1115 stat_dict (dict): A dictionary containing player statistics.
1116 player (int): The player for whom the statistic is calculated.
1118 Returns:
1119 tuple: A tuple containing the calculated statistic, percentage representation, formatted strings, and additional information.
1121 Example:
1122 dbr1(stat_dict, player)
1123 """
1124 stat = 0.0
1125 try:
1126 stat = float(stat_dict[player]['aggr_1']) - float(stat_dict[player]['cb_1'])
1127 stat /= float(stat_dict[player]['saw_f']) - float(stat_dict[player]['cb_opp_1'])
1128 return (stat,
1129 '%3.1f' % (100.0*stat),
1130 'dbr1=%3.1f%%' % (100.0*stat),
1131 'dbr1=%3.1f%%' % (100.0*stat),
1132 '(%d/%d)' % (float(stat_dict[player]['aggr_1']) - float(stat_dict[player]['cb_1']), float(stat_dict[player]['saw_f']) - float(stat_dict[player]['cb_opp_1'])),
1133 '% DonkBetAndRaise flop/4th street')
1134 except:
1135 return (stat,
1136 'NA',
1137 'dbr1=NA',
1138 'dbr1=NA',
1139 '(0/0)',
1140 '% DonkBetAndRaise flop/4th street')
1142def dbr2(stat_dict, player):
1143 """Calculate and return the Donk Bet and Raise statistic for a given player on turn/5th street.
1145 Args:
1146 stat_dict (dict): A dictionary containing player statistics.
1147 player (int): The player for whom the statistic is calculated.
1149 Returns:
1150 tuple: A tuple containing the calculated statistic, percentage representation, formatted strings, and additional information.
1152 Example:
1153 dbr1(stat_dict, player)
1154 """
1155 stat = 0.0
1156 try:
1157 stat = float(stat_dict[player]['aggr_2']) - float(stat_dict[player]['cb_2'])
1158 stat /= float(stat_dict[player]['saw_2']) - float(stat_dict[player]['cb_opp_2'])
1159 return (stat,
1160 '%3.1f' % (100.0*stat),
1161 'dbr2=%3.1f%%' % (100.0*stat),
1162 'dbr2=%3.1f%%' % (100.0*stat),
1163 '(%d/%d)' % (float(stat_dict[player]['aggr_2']) - float(stat_dict[player]['cb_2']), float(stat_dict[player]['saw_2']) - float(stat_dict[player]['cb_opp_2'])),
1164 '% DonkBetAndRaise turn/5th street')
1165 except:
1166 return (stat,
1167 'NA',
1168 'dbr2=NA',
1169 'dbr2=NA',
1170 '(0/0)',
1171 '% DonkBetAndRaise turn/5th street')
1173def dbr3(stat_dict, player):
1174 """Calculate and return the Donk Bet and Raise statistic for a given player on river/6th street.
1176 Args:
1177 stat_dict (dict): A dictionary containing player statistics.
1178 player (int): The player for whom the statistic is calculated.
1180 Returns:
1181 tuple: A tuple containing the calculated statistic, percentage representation, formatted strings, and additional information.
1183 Example:
1184 dbr1(stat_dict, player)
1185 """
1186 stat = 0.0
1187 try:
1188 stat = float(stat_dict[player]['aggr_3']) - float(stat_dict[player]['cb_3'])
1189 stat /= float(stat_dict[player]['saw_3']) - float(stat_dict[player]['cb_opp_3'])
1190 return (stat,
1191 '%3.1f' % (100.0*stat),
1192 'dbr3=%3.1f%%' % (100.0*stat),
1193 'dbr3=%3.1f%%' % (100.0*stat),
1194 '(%d/%d)' % (float(stat_dict[player]['aggr_3']) - float(stat_dict[player]['cb_3']), float(stat_dict[player]['saw_3']) - float(stat_dict[player]['cb_opp_3'])),
1195 '% DonkBetAndRaise river/6th street')
1196 except:
1197 return (stat,
1198 'NA',
1199 'dbr3=NA',
1200 'dbr3=NA',
1201 '(0/0)',
1202 '% DonkBetAndRaise river/6th street')
1205def f_dbr1(stat_dict, player):
1206 """Calculate and return the fold to DonkBetAndRaise statistic for a given player on flop/4th street.
1208 Args:
1209 stat_dict (dict): A dictionary containing player statistics.
1210 player (int): The player for whom the statistic is calculated.
1212 Returns:
1213 tuple: A tuple containing the calculated statistic, formatted strings, and additional information.
1215 Example:
1216 f_dbr1(stat_dict, player)
1218 Note:
1219 If an exception occurs during calculation, 'NA' values are returned.
1220 """
1221 stat = 0.0
1222 try:
1223 stat = float(stat_dict[player]['f_freq_1']) - float(stat_dict[player]['f_cb_1'])
1224 stat /= float(stat_dict[player]['was_raised_1']) - float(stat_dict[player]['f_cb_opp_1'])
1225 return (stat,
1226 '%3.1f' % (100.0*stat),
1227 'f_dbr1=%3.1f%%' % (100.0*stat),
1228 'f_dbr1=%3.1f%%' % (100.0*stat),
1229 '(%d/%d)' % (float(stat_dict[player]['f_freq_1']) - float(stat_dict[player]['f_cb_1']), float(stat_dict[player]['was_raised_1']) - float(stat_dict[player]['f_cb_opp_1'])),
1230 '% Fold to DonkBetAndRaise flop/4th street')
1231 except:
1232 return (stat,
1233 'NA',
1234 'f_dbr1=NA',
1235 'f_dbr1=NA',
1236 '(0/0)',
1237 '% Fold DonkBetAndRaise flop/4th street')
1239def f_dbr2(stat_dict, player):
1240 """Calculate and return the fold to DonkBetAndRaise statistic for a given player on turn/5th street.
1242 Args:
1243 stat_dict (dict): A dictionary containing player statistics.
1244 player (int): The player for whom the statistic is calculated.
1246 Returns:
1247 tuple: A tuple containing the calculated statistic, formatted strings, and additional information.
1249 Example:
1250 f_dbr1(stat_dict, player)
1252 Note:
1253 If an exception occurs during calculation, 'NA' values are returned.
1254 """
1255 stat = 0.0
1256 try:
1257 stat = float(stat_dict[player]['f_freq_2']) - float(stat_dict[player]['f_cb_2'])
1258 stat /= float(stat_dict[player]['was_raised_2']) - float(stat_dict[player]['f_cb_opp_2'])
1259 return (stat,
1260 '%3.1f' % (100.0*stat),
1261 'f_dbr2=%3.1f%%' % (100.0*stat),
1262 'f_dbr2=%3.1f%%' % (100.0*stat),
1263 '(%d/%d)' % (float(stat_dict[player]['f_freq_2']) - float(stat_dict[player]['f_cb_2']), float(stat_dict[player]['was_raised_2']) - float(stat_dict[player]['f_cb_opp_2'])),
1264 '% Fold to DonkBetAndRaise turn')
1265 except:
1266 return (stat,
1267 'NA',
1268 'f_dbr2=NA',
1269 'f_dbr2=NA',
1270 '(0/0)',
1271 '% Fold DonkBetAndRaise turn')
1274def f_dbr3(stat_dict, player):
1275 """Calculate and return the fold to DonkBetAndRaise statistic for a given player on river/6th street.
1277 Args:
1278 stat_dict (dict): A dictionary containing player statistics.
1279 player (int): The player for whom the statistic is calculated.
1281 Returns:
1282 tuple: A tuple containing the calculated statistic, formatted strings, and additional information.
1284 Example:
1285 f_dbr1(stat_dict, player)
1287 Note:
1288 If an exception occurs during calculation, 'NA' values are returned.
1289 """
1290 stat = 0.0
1291 try:
1292 stat = float(stat_dict[player]['f_freq_3']) - float(stat_dict[player]['f_cb_3'])
1293 stat /= float(stat_dict[player]['was_raised_3']) - float(stat_dict[player]['f_cb_opp_3'])
1294 return (stat,
1295 '%3.1f' % (100.0*stat),
1296 'f_dbr3=%3.1f%%' % (100.0*stat),
1297 'f_dbr3=%3.1f%%' % (100.0*stat),
1298 '(%d/%d)' % (float(stat_dict[player]['f_freq_3']) - float(stat_dict[player]['f_cb_3']), float(stat_dict[player]['was_raised_3']) - float(stat_dict[player]['f_cb_opp_3'])),
1299 '% Fold to DonkBetAndRaise river')
1300 except:
1301 return (stat,
1302 'NA',
1303 'f_dbr3=NA',
1304 'f_dbr3=NA',
1305 '(0/0)',
1306 '% Fold DonkBetAndRaise river')
1309def squeeze(stat_dict, player):
1310 """
1311 Calculate the squeeze statistic for a player.
1313 Args:
1314 stat_dict (dict): A dictionary containing player statistics.
1315 player (int): The player for whom the statistic is calculated.
1317 Returns:
1318 tuple: A tuple containing the calculated statistic, percentage values, and formatted strings.
1319 """
1320 stat = 0.0
1321 try:
1322 stat = float(stat_dict[player]['sqz_0'])/float(stat_dict[player]['sqz_opp_0'])
1323 return (stat,
1324 '%3.1f' % (100.0*stat),
1325 'SQZ=%3.1f%%' % (100.0*stat),
1326 'SQZ_pf=%3.1f%%' % (100.0*stat),
1327 '(%d/%d)' % (stat_dict[player]['sqz_0'], stat_dict[player]['sqz_opp_0']),
1328 '% squeeze preflop')
1329 except:
1330 return (stat,
1331 'NA',
1332 'SQZ=NA',
1333 'SQZ_pf=NA',
1334 '(0/0)',
1335 '% squeeze preflop')
1338def raiseToSteal(stat_dict, player):
1339 """Calculate the raise to steal stat for a player.
1341 Args:
1342 stat_dict (dict): A dictionary containing stats for each player.
1343 player (int): The player for whom the stat is calculated.
1345 Returns:
1346 tuple: A tuple containing the raise to steal stat, formatted percentages, and additional information.
1347 """
1348 stat = 0.0
1349 try:
1350 stat = float(stat_dict[player]['rts'])/float(stat_dict[player]['rts_opp'])
1351 return (stat,
1352 '%3.1f' % (100.0*stat),
1353 'RST=%3.1f%%' % (100.0*stat),
1354 'RST_pf=%3.1f%%' % (100.0*stat),
1355 '(%d/%d)' % (stat_dict[player]['rts'], stat_dict[player]['rts_opp']),
1356 '% raise to steal')
1357 except:
1358 return (stat,
1359 'NA',
1360 'RST=NA',
1361 'RST_pf=NA',
1362 '(0/0)',
1363 '% raise to steal')
1365def car0(stat_dict, player):
1366 """Calculate the pourcent of called a raise preflop stat for a player based on the provided stat dictionary.
1368 Args:
1369 stat_dict (dict): A dictionary containing stats for each player.
1370 player (int): The player for whom the CAR0 stat is calculated.
1372 Returns:
1373 tuple: A tuple containing various formatted strings representing the CAR0 stat.
1374 If an exception occurs during calculation, returns default 'NA' values.
1375 """
1376 stat = 0.0
1377 try:
1378 stat = float(stat_dict[player]['car_0'])/float(stat_dict[player]['car_opp_0'])
1379 return (stat,
1380 '%3.1f' % (100.0*stat),
1381 'CAR0=%3.1f%%' % (100.0*stat),
1382 'CAR_pf=%3.1f%%' % (100.0*stat),
1383 '(%d/%d)' % (stat_dict[player]['car_0'], stat_dict[player]['car_opp_0']),
1384 '% called a raise preflop')
1385 except:
1386 return (stat,
1387 'NA',
1388 'CAR0=NA',
1389 'CAR_pf=NA',
1390 '(0/0)',
1391 '% called a raise preflop')
1393def f_3bet(stat_dict, player):
1394 """Calculate the Fold to 3-Bet statistic for a player.
1396 Args:
1397 stat_dict (dict): A dictionary containing player statistics.
1398 player (int): The player for whom the statistic is calculated.
1400 Returns:
1401 tuple: A tuple containing various representations of the Fold to 3-Bet statistic.
1402 The tuple includes the statistic value, percentage, labels, and counts.
1403 If an error occurs during calculation, returns 'NA' values.
1404 """
1405 stat = 0.0
1406 try:
1407 stat = float(stat_dict[player]['f3b_0'])/float(stat_dict[player]['f3b_opp_0'])
1408 return (stat,
1409 '%3.1f' % (100.0*stat),
1410 'F3B=%3.1f%%' % (100.0*stat),
1411 'F3B_pf=%3.1f%%' % (100.0*stat),
1412 '(%d/%d)' % (stat_dict[player]['f3b_0'], stat_dict[player]['f3b_opp_0']),
1413 '% fold to 3 bet preflop/3rd street')
1414 except:
1415 return (stat,
1416 'NA',
1417 'F3B=NA',
1418 'F3B_pf=NA',
1419 '(0/0)',
1420 '% fold to 3 bet preflop/3rd street')
1422def f_4bet(stat_dict, player):
1423 """
1424 Calculate and return fold to 4-bet statistics for a player.
1426 Args:
1427 stat_dict (dict): Dictionary containing player statistics.
1428 player (int): Player identifier.
1430 Returns:
1431 tuple: Tuple containing various statistics related to fold to 4-bet.
1432 """
1433 stat = 0.0
1434 try:
1435 stat = float(stat_dict[player]['f4b_0'])/float(stat_dict[player]['f4b_opp_0'])
1436 return (stat,
1437 '%3.1f' % (100.0*stat),
1438 'F4B=%3.1f%%' % (100.0*stat),
1439 'F4B_pf=%3.1f%%' % (100.0*stat),
1440 '(%d/%d)' % (stat_dict[player]['f4b_0'], stat_dict[player]['f4b_opp_0']),
1441 '% fold to 4 bet preflop/3rd street')
1442 except:
1443 return (stat,
1444 'NA',
1445 'F4B=NA',
1446 'F4B_pf=NA',
1447 '(0/0)',
1448 '% fold to 4 bet preflop/3rd street')
1450def WMsF(stat_dict, player):
1451 """Calculate the win money percentage when seeing the flop or 4th street.
1453 Args:
1454 stat_dict (dict): A dictionary containing player statistics.
1455 player (int): The player for whom the statistics are calculated.
1457 Returns:
1458 tuple: A tuple containing various win money percentage statistics and descriptions.
1459 """
1460 stat = 0.0
1461 try:
1462 stat = float(stat_dict[player]['w_w_s_1'])/float(stat_dict[player]['saw_1'])
1463 return (stat,
1464 '%3.1f' % (100.0*stat),
1465 'wf=%3.1f%%' % (100.0*stat),
1466 'w_w_f=%3.1f%%' % (100.0*stat),
1467 '(%d/%d)' % (stat_dict[player]['w_w_s_1'], stat_dict[player]['saw_f']),
1468 '% won money when seen flop/4th street')
1469 except:
1470 return (stat,
1471 'NA',
1472 'wf=NA',
1473 'w_w_f=NA',
1474 '(0/0)',
1475 '% won money when seen flop/4th street')
1477def a_freq1(stat_dict, player):
1478 """Calculate aggression frequency for a specific player based on their stats on flop/4th street.
1480 Args:
1481 stat_dict (dict): A dictionary containing player statistics.
1482 player (int): The player for whom the aggression frequency is calculated.
1484 Returns:
1485 tuple: A tuple containing the calculated aggression frequency, formatted strings, and related information.
1486 """
1487 stat = 0.0
1488 try:
1489 stat = float(stat_dict[player]['aggr_1'])/float(stat_dict[player]['saw_f'])
1490 return (stat,
1491 '%3.1f' % (100.0*stat),
1492 'a1=%3.1f%%' % (100.0*stat),
1493 'a_fq_1=%3.1f%%' % (100.0*stat),
1494 '(%d/%d)' % (stat_dict[player]['aggr_1'], stat_dict[player]['saw_f']),
1495 'Aggression frequency flop/4th street')
1496 except:
1497 return (stat,
1498 'NA',
1499 'a1=NA',
1500 'a_fq_1=NA',
1501 '(0/0)',
1502 'Aggression frequency flop/4th street')
1504def a_freq2(stat_dict, player):
1505 """Calculate aggression frequency for a specific player based on their stats on turn/5th street.
1507 Args:
1508 stat_dict (dict): A dictionary containing player statistics.
1509 player (int): The player for whom the aggression frequency is calculated.
1511 Returns:
1512 tuple: A tuple containing the calculated aggression frequency, formatted strings, and related information.
1513 """
1514 stat = 0.0
1515 try:
1516 stat = float(stat_dict[player]['aggr_2'])/float(stat_dict[player]['saw_2'])
1517 return (stat,
1518 '%3.1f' % (100.0*stat),
1519 'a2=%3.1f%%' % (100.0*stat),
1520 'a_fq_2=%3.1f%%' % (100.0*stat),
1521 '(%d/%d)' % (stat_dict[player]['aggr_2'], stat_dict[player]['saw_2']),
1522 'Aggression frequency turn/5th street')
1523 except:
1524 return (stat,
1525 'NA',
1526 'a2=NA',
1527 'a_fq_2=NA',
1528 '(0/0)',
1529 'Aggression frequency turn/5th street')
1531def a_freq3(stat_dict, player):
1532 """Calculate aggression frequency for a specific player based on their stats on river/6th street.
1534 Args:
1535 stat_dict (dict): A dictionary containing player statistics.
1536 player (int): The player for whom the aggression frequency is calculated.
1538 Returns:
1539 tuple: A tuple containing the calculated aggression frequency, formatted strings, and related information.
1540 """
1541 stat = 0.0
1542 try:
1543 stat = float(stat_dict[player]['aggr_3'])/float(stat_dict[player]['saw_3'])
1544 return (stat,
1545 '%3.1f' % (100.0*stat),
1546 'a3=%3.1f%%' % (100.0*stat),
1547 'a_fq_3=%3.1f%%' % (100.0*stat),
1548 '(%d/%d)' % (stat_dict[player]['aggr_3'], stat_dict[player]['saw_3']),
1549 'Aggression frequency river/6th street')
1550 except:
1551 return (stat,
1552 'NA',
1553 'a3=NA',
1554 'a_fq_3=NA',
1555 '(0/0)',
1556 'Aggression frequency river/6th street')
1558def a_freq4(stat_dict, player):
1559 """Calculate aggression frequency for a specific player based on their stats on 7th street.
1561 Args:
1562 stat_dict (dict): A dictionary containing player statistics.
1563 player (int): The player for whom the aggression frequency is calculated.
1565 Returns:
1566 tuple: A tuple containing the calculated aggression frequency, formatted strings, and related information.
1567 """
1568 stat = 0.0
1569 try:
1570 stat = float(stat_dict[player]['aggr_4'])/float(stat_dict[player]['saw_4'])
1571 return (stat,
1572 '%3.1f' % (100.0*stat),
1573 'a4=%3.1f%%' % (100.0*stat),
1574 'a_fq_4=%3.1f%%' % (100.0*stat),
1575 '(%d/%d)' % (stat_dict[player]['aggr_4'], stat_dict[player]['saw_4']),
1576 'Aggression frequency 7th street')
1577 except:
1578 return (stat,
1579 'NA',
1580 'a4=NA',
1581 'a_fq_4=NA',
1582 '(0/0)',
1583 'Aggression frequency 7th street')
1585def a_freq_123(stat_dict, player):
1586 """Calculate aggression frequency for a specific player based on their stats post flop.
1588 Args:
1589 stat_dict (dict): A dictionary containing player statistics.
1590 player (int): The player for whom the aggression frequency is calculated.
1592 Returns:
1593 tuple: A tuple containing the calculated aggression frequency, formatted strings, and related information.
1594 """
1595 stat = 0.0
1596 try:
1597 stat = float( stat_dict[player]['aggr_1'] + stat_dict[player]['aggr_2'] + stat_dict[player]['aggr_3']
1598 ) / float( stat_dict[player]['saw_1'] + stat_dict[player]['saw_2'] + stat_dict[player]['saw_3']);
1599 return (stat,
1600 '%3.1f' % (100.0*stat),
1601 'afq=%3.1f%%' % (100.0*stat),
1602 'post_a_fq=%3.1f%%' % (100.0*stat),
1603 '(%d/%d)' % ( stat_dict[player]['aggr_1']
1604 + stat_dict[player]['aggr_2']
1605 + stat_dict[player]['aggr_3']
1606 , stat_dict[player]['saw_1']
1607 + stat_dict[player]['saw_2']
1608 + stat_dict[player]['saw_3']
1609 ),
1610 'Post-flop aggression frequency')
1611 except:
1612 return (stat,
1613 'NA',
1614 'a3=NA',
1615 'a_fq_3=NA',
1616 '(0/0)',
1617 'Post-flop aggression frequency')
1619def agg_fact(stat_dict, player):
1620 """Calculate the aggression factor based on the given player's statistics.
1622 Args:
1623 stat_dict (dict): A dictionary containing the player's statistics.
1624 player (str): The player for whom the aggression factor is calculated.
1626 Returns:
1627 tuple: A tuple containing the calculated aggression factor in different formats.
1628 The formats include percentage, float, and string representations.
1629 If an exception occurs during calculation, default values are returned.
1630 """
1631 stat = 0.0
1632 try:
1633 bet_raise = stat_dict[player]['aggr_1'] + stat_dict[player]['aggr_2'] + stat_dict[player]['aggr_3'] + stat_dict[player]['aggr_4']
1634 post_call = stat_dict[player]['call_1'] + stat_dict[player]['call_2'] + stat_dict[player]['call_3'] + stat_dict[player]['call_4']
1636 if post_call > 0:
1637 stat = float (bet_raise) / float(post_call)
1638 else:
1639 stat = float (bet_raise)
1640 return (stat/100.0,
1641 '%2.2f' % (stat) ,
1642 'afa=%2.2f' % (stat) ,
1643 'agg_fa=%2.2f' % (stat) ,
1644 '(%d/%d)' % (bet_raise, post_call),
1645 'Aggression factor')
1646 except:
1647 return (stat,
1648 'NA',
1649 'afa=NA',
1650 'agg_fa=NA',
1651 '(0/0)',
1652 'Aggression factor')
1654def agg_fact_pct(stat_dict, player):
1655 """Calculate the aggression factor percentage based on the given player's stats.
1657 Args:
1658 stat_dict (dict): A dictionary containing the player's statistics.
1659 player (int): The player for whom the aggression factor percentage is calculated.
1661 Returns:
1662 tuple: A tuple containing the aggression factor percentage, formatted strings, and related information.
1664 Raises:
1665 Exception: If an error occurs during the calculation, returns default values.
1666 """
1667 stat = 0.0
1668 try:
1669 bet_raise = stat_dict[player]['aggr_1'] + stat_dict[player]['aggr_2'] + stat_dict[player]['aggr_3'] + stat_dict[player]['aggr_4']
1670 post_call = stat_dict[player]['call_1'] + stat_dict[player]['call_2'] + stat_dict[player]['call_3'] + stat_dict[player]['call_4']
1672 if float(post_call + bet_raise) > 0.0:
1673 stat = float (bet_raise) / float(post_call + bet_raise)
1675 return (stat/100.0,
1676 '%2.2f' % (stat) ,
1677 'afap=%2.2f' % (stat) ,
1678 'agg_fa_pct=%2.2f' % (stat) ,
1679 '(%d/%d)' % (bet_raise, post_call),
1680 'Aggression factor pct')
1681 except:
1682 return (stat,
1683 'NA',
1684 'afap=NA',
1685 'agg_fa_pct=NA',
1686 '(0/0)',
1687 'Aggression factor pct')
1689def cbet(stat_dict, player):
1690 """Calculate the continuation bet (cbet) percentage for a player.
1692 Args:
1693 stat_dict (dict): A dictionary containing statistics for the player.
1694 player (int): The player for whom the cbet percentage is calculated.
1696 Returns:
1697 tuple: A tuple containing the cbet percentage, formatted strings, and stats.
1699 Raises:
1700 Exception: If there is an issue with calculating the cbet percentage.
1701 """
1702 stat = 0.0
1703 try:
1704 cbets = stat_dict[player]['cb_1']+stat_dict[player]['cb_2']+stat_dict[player]['cb_3']+stat_dict[player]['cb_4']
1705 oppt = stat_dict[player]['cb_opp_1']+stat_dict[player]['cb_opp_2']+stat_dict[player]['cb_opp_3']+stat_dict[player]['cb_opp_4']
1706 stat = float(cbets)/float(oppt)
1707 return (stat,
1708 '%3.1f' % (100.0*stat),
1709 'cbet=%3.1f%%' % (100.0*stat),
1710 'cbet=%3.1f%%' % (100.0*stat),
1711 '(%d/%d)' % (cbets, oppt),
1712 '% continuation bet')
1713 except:
1714 return (stat,
1715 'NA',
1716 'cbet=NA',
1717 'cbet=NA',
1718 '(0/0)',
1719 '% continuation bet')
1721def cb1(stat_dict, player):
1722 """Calculate the continuation bet statistic for a given player on flop/4th street.
1724 Args:
1725 stat_dict (dict): A dictionary containing player statistics.
1726 player (int): The player for whom the statistic is calculated.
1728 Returns:
1729 tuple: A tuple containing various formatted strings representing the continuation bet statistic.
1730 """
1731 stat = 0.0
1732 try:
1733 stat = float(stat_dict[player]['cb_1'])/float(stat_dict[player]['cb_opp_1'])
1734 return (stat,
1735 '%3.1f' % (100.0*stat),
1736 'cb1=%3.1f%%' % (100.0*stat),
1737 'cb_1=%3.1f%%' % (100.0*stat),
1738 '(%d/%d)' % (stat_dict[player]['cb_1'], stat_dict[player]['cb_opp_1']),
1739 '% continuation bet flop/4th street')
1740 except:
1741 return (stat,
1742 'NA',
1743 'cb1=NA',
1744 'cb_1=NA',
1745 '(0/0)',
1746 '% continuation bet flop/4th street')
1748def cb2(stat_dict, player):
1749 """Calculate the continuation bet statistic for a given player on turn/5th street.
1751 Args:
1752 stat_dict (dict): A dictionary containing player statistics.
1753 player (int): The player for whom the statistic is calculated.
1755 Returns:
1756 tuple: A tuple containing various formatted strings representing the continuation bet statistic.
1757 """
1758 stat = 0.0
1759 try:
1760 stat = float(stat_dict[player]['cb_2'])/float(stat_dict[player]['cb_opp_2'])
1761 return (stat,
1762 '%3.1f' % (100.0*stat),
1763 'cb2=%3.1f%%' % (100.0*stat),
1764 'cb_2=%3.1f%%' % (100.0*stat),
1765 '(%d/%d)' % (stat_dict[player]['cb_2'], stat_dict[player]['cb_opp_2']),
1766 '% continuation bet turn/5th street')
1767 except:
1768 return (stat,
1769 'NA',
1770 'cb2=NA',
1771 'cb_2=NA',
1772 '(0/0)',
1773 '% continuation bet turn/5th street')
1775def cb3(stat_dict, player):
1776 """Calculate the continuation bet statistic for a given player on river/6th street.
1778 Args:
1779 stat_dict (dict): A dictionary containing player statistics.
1780 player (int): The player for whom the statistic is calculated.
1782 Returns:
1783 tuple: A tuple containing various formatted strings representing the continuation bet statistic.
1784 """
1785 stat = 0.0
1786 try:
1787 stat = float(stat_dict[player]['cb_3'])/float(stat_dict[player]['cb_opp_3'])
1788 return (stat,
1789 '%3.1f' % (100.0*stat),
1790 'cb3=%3.1f%%' % (100.0*stat),
1791 'cb_3=%3.1f%%' % (100.0*stat),
1792 '(%d/%d)' % (stat_dict[player]['cb_3'], stat_dict[player]['cb_opp_3']),
1793 '% continuation bet river/6th street')
1794 except:
1795 return (stat,
1796 'NA',
1797 'cb3=NA',
1798 'cb_3=NA',
1799 '(0/0)',
1800 '% continuation bet river/6th street')
1802def cb4(stat_dict, player):
1803 """Calculate the continuation bet statistic for a given player on 7th street.
1805 Args:
1806 stat_dict (dict): A dictionary containing player statistics.
1807 player (int): The player for whom the statistic is calculated.
1809 Returns:
1810 tuple: A tuple containing various formatted strings representing the continuation bet statistic.
1811 """
1812 stat = 0.0
1813 try:
1814 stat = float(stat_dict[player]['cb_4'])/float(stat_dict[player]['cb_opp_4'])
1815 return (stat,
1816 '%3.1f' % (100.0*stat),
1817 'cb4=%3.1f%%' % (100.0*stat),
1818 'cb_4=%3.1f%%' % (100.0*stat),
1819 '(%d/%d)' % (stat_dict[player]['cb_4'], stat_dict[player]['cb_opp_4']),
1820 '% continuation bet 7th street')
1821 except:
1822 return (stat,
1823 'NA',
1824 'cb4=NA',
1825 'cb_4=NA',
1826 '(0/0)',
1827 '% continuation bet 7th street')
1829def ffreq1(stat_dict, player):
1830 """
1831 Calculate the fold frequency statistic for a given player on the flop/4th street.
1833 Args:
1834 stat_dict (dict): A dictionary containing player statistics.
1835 player (int): The player for whom the statistic is calculated.
1837 Returns:
1838 tuple: A tuple containing various formatted strings representing the fold frequency statistic.
1839 """
1840 stat = 0.0
1841 try:
1842 stat = float(stat_dict[player]['f_freq_1'])/float(stat_dict[player]['was_raised_1'])
1843 return (stat,
1844 '%3.1f' % (100.0*stat),
1845 'ff1=%3.1f%%' % (100.0*stat),
1846 'ff_1=%3.1f%%' % (100.0*stat),
1847 '(%d/%d)' % (stat_dict[player]['f_freq_1'], stat_dict[player]['was_raised_1']),
1848 '% fold frequency flop/4th street')
1849 except:
1850 return (stat,
1851 'NA',
1852 'ff1=NA',
1853 'ff_1=NA',
1854 '(0/0)',
1855 '% fold frequency flop/4th street')
1857def ffreq2(stat_dict, player):
1858 """
1859 Calculate the fold frequency statistic for a given player on the turn/5th street.
1861 Args:
1862 stat_dict (dict): A dictionary containing player statistics.
1863 player (int): The player for whom the statistic is calculated.
1865 Returns:
1866 tuple: A tuple containing various formatted strings representing the fold frequency statistic.
1867 """
1868 stat = 0.0
1869 try:
1870 stat = float(stat_dict[player]['f_freq_2'])/float(stat_dict[player]['was_raised_2'])
1871 return (stat,
1872 '%3.1f' % (100.0*stat),
1873 'ff2=%3.1f%%' % (100.0*stat),
1874 'ff_2=%3.1f%%' % (100.0*stat),
1875 '(%d/%d)' % (stat_dict[player]['f_freq_2'], stat_dict[player]['was_raised_2']),
1876 '% fold frequency turn/5th street')
1877 except:
1878 return (stat,
1879 'NA',
1880 'ff2=NA',
1881 'ff_2=NA',
1882 '(0/0)',
1883 '% fold frequency turn/5th street')
1885def ffreq3(stat_dict, player):
1886 """
1887 Calculate the fold frequency statistic for a given player on the river/6th street.
1889 Args:
1890 stat_dict (dict): A dictionary containing player statistics.
1891 player (int): The player for whom the statistic is calculated.
1893 Returns:
1894 tuple: A tuple containing various formatted strings representing the fold frequency statistic.
1895 """
1896 stat = 0.0
1897 try:
1898 stat = float(stat_dict[player]['f_freq_3'])/float(stat_dict[player]['was_raised_3'])
1899 return (stat,
1900 '%3.1f' % (100.0*stat),
1901 'ff3=%3.1f%%' % (100.0*stat),
1902 'ff_3=%3.1f%%' % (100.0*stat),
1903 '(%d/%d)' % (stat_dict[player]['f_freq_3'], stat_dict[player]['was_raised_3']),
1904 '% fold frequency river/6th street')
1905 except:
1906 return (stat,
1907 'NA',
1908 'ff3=NA',
1909 'ff_3=NA',
1910 '(0/0)',
1911 '% fold frequency river/6th street')
1913def ffreq4(stat_dict, player):
1914 """
1915 Calculate the fold frequency statistic for a given player on the 7th street.
1917 Args:
1918 stat_dict (dict): A dictionary containing player statistics.
1919 player (int): The player for whom the statistic is calculated.
1921 Returns:
1922 tuple: A tuple containing various formatted strings representing the fold frequency statistic.
1923 """
1924 stat = 0.0
1925 try:
1926 stat = float(stat_dict[player]['f_freq_4'])/float(stat_dict[player]['was_raised_4'])
1927 return (stat,
1928 '%3.1f' % (100.0*stat),
1929 'ff4=%3.1f%%' % (100.0*stat),
1930 'ff_4=%3.1f%%' % (100.0*stat),
1931 '(%d/%d)' % (stat_dict[player]['f_freq_4'], stat_dict[player]['was_raised_4']),
1932 '% fold frequency 7th street')
1933 except:
1934 return (stat,
1935 'NA',
1936 'ff4=NA',
1937 'ff_4=NA',
1938 '(0/0)',
1939 '% fold frequency 7th street')
1941def f_cb1(stat_dict, player):
1942 """
1943 Calculate the fold to continuation bet statistic for a given player on the flop/4th street.
1945 Args:
1946 stat_dict (dict): A dictionary containing player statistics.
1947 player (int): The player for whom the statistic is calculated.
1949 Returns:
1950 tuple: A tuple containing various formatted strings representing the fold to continuation bet statistic.
1951 The tuple contains the following elements:
1952 - stat (float): The calculated statistic value.
1953 - percent (str): The calculated statistic value formatted as a percentage.
1954 - f_cb1 (str): The calculated statistic value formatted as a percentage with a specific format.
1955 - f_cb_1 (str): The calculated statistic value formatted as a percentage with a specific format.
1956 - count (str): The count of occurrences divided by the count of opponent's continuation bets.
1957 - description (str): A description of the statistic.
1958 """
1959 stat = 0.0
1960 try:
1961 stat = float(stat_dict[player]['f_cb_1'])/float(stat_dict[player]['f_cb_opp_1'])
1962 return (stat,
1963 '%3.1f' % (100.0*stat),
1964 'f_cb1=%3.1f%%' % (100.0*stat),
1965 'f_cb_1=%3.1f%%' % (100.0*stat),
1966 '(%d/%d)' % (stat_dict[player]['f_cb_1'], stat_dict[player]['f_cb_opp_1']),
1967 '% fold to continuation bet flop/4th street')
1968 except:
1969 return (stat,
1970 'NA',
1971 'f_cb1=NA',
1972 'f_cb_1=NA',
1973 '(0/0)',
1974 '% fold to continuation bet flop/4th street')
1976def f_cb2(stat_dict, player):
1977 """
1978 Calculate the fold to continuation bet statistic for a given player on the turn/5th street.
1980 Args:
1981 stat_dict (dict): A dictionary containing player statistics.
1982 player (int): The player for whom the statistic is calculated.
1984 Returns:
1985 tuple: A tuple containing various formatted strings representing the fold to continuation bet statistic.
1986 The tuple contains the following elements:
1987 - stat (float): The calculated statistic value.
1988 - percent (str): The calculated statistic value formatted as a percentage.
1989 - f_cb2 (str): The calculated statistic value formatted as a percentage with a specific format.
1990 - f_cb_2 (str): The calculated statistic value formatted as a percentage with a specific format.
1991 - count (str): The count of occurrences divided by the count of opponent's continuation bets.
1992 - description (str): A description of the statistic.
1994 Raises:
1995 None
1996 """
1997 stat = 0.0
1998 try:
1999 stat = float(stat_dict[player]['f_cb_2'])/float(stat_dict[player]['f_cb_opp_2'])
2000 return (stat,
2001 '%3.1f' % (100.0*stat),
2002 'f_cb2=%3.1f%%' % (100.0*stat),
2003 'f_cb_2=%3.1f%%' % (100.0*stat),
2004 '(%d/%d)' % (stat_dict[player]['f_cb_2'], stat_dict[player]['f_cb_opp_2']),
2005 '% fold to continuation bet turn/5th street')
2006 except:
2007 return (stat,
2008 'NA',
2009 'f_cb2=NA',
2010 'f_cb_2=NA',
2011 '(0/0)',
2012 '% fold to continuation bet turn/5th street')
2014def f_cb3(stat_dict, player):
2015 """
2016 Calculate the fold to continuation bet statistic for a given player on the river/6th street.
2018 Args:
2019 stat_dict (dict): A dictionary containing player statistics.
2020 player (int): The player for whom the statistic is calculated.
2022 Returns:
2023 tuple: A tuple containing various formatted strings representing the fold to continuation bet statistic.
2024 The tuple contains the following elements:
2025 - stat (float): The calculated statistic value.
2026 - percent (str): The calculated statistic value formatted as a percentage.
2027 - f_cb3 (str): The calculated statistic value formatted as a percentage with a specific format.
2028 - f_cb_3 (str): The calculated statistic value formatted as a percentage with a specific format.
2029 - count (str): The count of occurrences divided by the count of opponent's continuation bets.
2030 - description (str): A description of the statistic.
2032 Raises:
2033 None
2034 """
2035 stat = 0.0
2036 try:
2037 stat = float(stat_dict[player]['f_cb_3'])/float(stat_dict[player]['f_cb_opp_3'])
2038 return (stat,
2039 '%3.1f' % (100.0*stat),
2040 'f_cb3=%3.1f%%' % (100.0*stat),
2041 'f_cb_3=%3.1f%%' % (100.0*stat),
2042 '(%d/%d)' % (stat_dict[player]['f_cb_3'], stat_dict[player]['f_cb_opp_3']),
2043 '% fold to continuation bet river/6th street')
2044 except:
2045 return (stat,
2046 'NA',
2047 'f_cb3=NA',
2048 'f_cb_3=NA',
2049 '(0/0)',
2050 '% fold to continuation bet river/6th street')
2052def f_cb4(stat_dict, player):
2053 """
2054 Calculate the fold to continuation bet statistic for a given player on the 7th street.
2056 Args:
2057 stat_dict (dict): A dictionary containing player statistics.
2058 player (int): The player for whom the statistic is calculated.
2060 Returns:
2061 tuple: A tuple containing various formatted strings representing the fold to continuation bet statistic.
2062 The tuple contains the following elements:
2063 - stat (float): The calculated statistic value.
2064 - percent (str): The calculated statistic value formatted as a percentage.
2065 - f_cb4 (str): The calculated statistic value formatted as a percentage with a specific format.
2066 - f_cb_4 (str): The calculated statistic value formatted as a percentage with a specific format.
2067 - count (str): The count of occurrences divided by the count of opponent's continuation bets.
2068 - description (str): A description of the statistic.
2070 Raises:
2071 None
2072 """
2073 stat = 0.0
2074 try:
2075 stat = float(stat_dict[player]['f_cb_4'])/float(stat_dict[player]['f_cb_opp_4'])
2076 return (stat,
2077 '%3.1f' % (100.0*stat),
2078 'f_cb4=%3.1f%%' % (100.0*stat),
2079 'f_cb_4=%3.1f%%' % (100.0*stat),
2080 '(%d/%d)' % (stat_dict[player]['f_cb_4'], stat_dict[player]['f_cb_opp_4']),
2081 '% fold to continuation bet 7th street')
2082 except:
2083 return (stat,
2084 'NA',
2085 'f_cb4=NA',
2086 'f_cb_4=NA',
2087 '(0/0)',
2088 '% fold to continuation bet 7th street')
2090def cr1(stat_dict, player):
2091 """
2092 Calculate the check-raise flop/4th street statistic for a given player.
2094 Args:
2095 stat_dict (dict): A dictionary containing player statistics.
2096 player (int): The player for whom the statistic is calculated.
2098 Returns:
2099 tuple: A tuple containing various formatted strings representing the check-raise flop/4th street statistic.
2100 The tuple contains the following elements:
2101 - stat (float): The calculated statistic value.
2102 - percent (str): The calculated statistic value formatted as a percentage.
2103 - cr1 (str): The calculated statistic value formatted with a specific format.
2104 - cr_1 (str): The calculated statistic value formatted with a specific format.
2105 - count (str): The count of occurrences divided by the count of opponent's check-raises.
2106 - description (str): A description of the statistic.
2108 Raises:
2109 None
2110 """
2111 stat = 0.0
2112 try:
2113 stat = float(stat_dict[player]['cr_1'])/float(stat_dict[player]['ccr_opp_1'])
2114 return (stat,
2115 '%3.1f' % (100.0*stat),
2116 'cr1=%3.1f%%' % (100.0*stat),
2117 'cr_1=%3.1f%%' % (100.0*stat),
2118 '(%d/%d)' % (stat_dict[player]['cr_1'], stat_dict[player]['ccr_opp_1']),
2119 '% check-raise flop/4th street')
2120 except:
2121 return (stat,
2122 'NA',
2123 'cr1=NA',
2124 'cr_1=NA',
2125 '(0/0)',
2126 '% check-raise flop/4th street')
2128def cr2(stat_dict, player):
2129 """
2130 Calculates the check-raise turn/5th street for a given player.
2132 Args:
2133 stat_dict (dict): A dictionary containing player statistics.
2134 player (int): The player for whom the statistic is calculated.
2136 Returns:
2137 tuple: A tuple containing various formatted strings representing the check-raise to fold ratio.
2138 The tuple contains the following elements:
2139 - stat (float): The calculated statistic value.
2140 - percent (str): The calculated statistic value formatted as a percentage.
2141 - cr2 (str): The calculated statistic value formatted with a specific format.
2142 - cr_2 (str): The calculated statistic value formatted with a specific format.
2143 - count (str): The count of occurrences divided by the count of opponent's check-raises.
2144 - description (str): A description of the statistic.
2146 Raises:
2147 None
2148 """
2149 stat = 0.0
2150 try:
2151 stat = float(stat_dict[player]['cr_2'])/float(stat_dict[player]['ccr_opp_2'])
2152 return (stat,
2153 '%3.1f' % (100.0*stat),
2154 'cr2=%3.1f%%' % (100.0*stat),
2155 'cr_2=%3.1f%%' % (100.0*stat),
2156 '(%d/%d)' % (stat_dict[player]['cr_2'], stat_dict[player]['ccr_opp_2']),
2157 '% check-raise turn/5th street')
2158 except:
2159 return (stat,
2160 'NA',
2161 'cr2=NA',
2162 'cr_2=NA',
2163 '(0/0)',
2164 '% check-raise turn/5th street')
2166def cr3(stat_dict, player):
2167 """
2168 Calculate the river/6th street street for a given player on the river (6th street).
2170 Args:
2171 stat_dict (dict): A dictionary containing player statistics.
2172 player (int): The player for whom the statistic is calculated.
2174 Returns:
2175 tuple: A tuple containing various formatted strings representing the check-raise to fold ratio.
2176 The tuple contains the following elements:
2177 - stat (float): The calculated statistic value.
2178 - percent (str): The calculated statistic value formatted as a percentage.
2179 - cr3 (str): The calculated statistic value formatted with a specific format.
2180 - cr_3 (str): The calculated statistic value formatted with a specific format.
2181 - count (str): The count of occurrences divided by the count of opponent's check-raises.
2182 - description (str): A description of the statistic.
2184 Raises:
2185 None
2186 """
2187 stat = 0.0
2188 try:
2189 stat = float(stat_dict[player]['cr_3'])/float(stat_dict[player]['ccr_opp_3'])
2190 return (stat,
2191 '%3.1f' % (100.0*stat),
2192 'cr3=%3.1f%%' % (100.0*stat),
2193 'cr_3=%3.1f%%' % (100.0*stat),
2194 '(%d/%d)' % (stat_dict[player]['cr_3'], stat_dict[player]['ccr_opp_3']),
2195 '% check-raise river/6th street')
2196 except:
2197 return (stat,
2198 'NA',
2199 'cr3=NA',
2200 'cr_3=NA',
2201 '(0/0)',
2202 '% check-raise river/6th street')
2204def cr4(stat_dict, player):
2205 """
2206 Calculate the 7th street check-raise statistics for a given player on the 7th street.
2208 Args:
2209 stat_dict (dict): A dictionary containing player statistics.
2210 player (int): The player for whom the statistic is calculated.
2212 Returns:
2213 tuple: A tuple containing various formatted strings representing the check-raise to fold ratio.
2214 The tuple contains the following elements:
2215 - stat (float): The calculated statistic value.
2216 - percent (str): The calculated statistic value formatted as a percentage.
2217 - cr4 (str): The calculated statistic value formatted with a specific format.
2218 - cr_4 (str): The calculated statistic value formatted with a specific format.
2219 - count (str): The count of occurrences divided by the count of opponent's check-raises.
2220 - description (str): A description of the statistic.
2222 Raises:
2223 None
2224 """
2225 stat = 0.0
2226 try:
2227 stat = float(stat_dict[player]['cr_4'])/float(stat_dict[player]['ccr_opp_4'])
2228 return (stat,
2229 '%3.1f' % (100.0*stat),
2230 'cr4=%3.1f%%' % (100.0*stat),
2231 'cr_4=%3.1f%%' % (100.0*stat),
2232 '(%d/%d)' % (stat_dict[player]['cr_4'], stat_dict[player]['ccr_opp_4']),
2233 '% check-raise 7th street')
2234 except:
2235 return (stat,
2236 'NA',
2237 'cr4=NA',
2238 'cr_4=NA',
2239 '(0/0)',
2240 '% check-raise 7th street')
2243def game_abbr(stat_dict, player):
2244 '''
2245 Function to retrieve the abbreviation for a specific poker game based on the game category and limit type.
2247 Parameters:
2248 - stat_dict: Dictionary containing statistics related to the game.
2249 - player: Integer representing the player number.
2251 Returns:
2252 - Tuple containing various representations of the game abbreviation.
2253 '''
2254 hand_instance = _global_hand_instance
2255 stat = ''
2256 try:
2257 cat_plus_limit = hand_instance.gametype['category'] + '.' + hand_instance.gametype['limitType']
2258 stat = {
2259 # ftp's 10-game with official abbreviations
2260 'holdem.fl': 'H',
2261 'studhilo.fl': 'E',
2262 'omahahi.pl': 'P',
2263 '27_3draw.fl': 'T',
2264 'razz.fl': 'R',
2265 'holdem.nl': 'N',
2266 'omahahilo.fl': 'O',
2267 'studhi.fl': 'S',
2268 '27_1draw.nl': 'K',
2269 'badugi.fl': 'B',
2270 # other common games with dubious abbreviations
2271 'fivedraw.fl': 'F',
2272 'fivedraw.pl': 'Fp',
2273 'fivedraw.nl': 'Fn',
2274 '27_3draw.pl': 'Tp',
2275 '27_3draw.nl': 'Tn',
2276 'badugi.pl': 'Bp',
2277 'badugi.hp': 'Bh',
2278 'omahahilo.pl': 'Op',
2279 'omahahilo.nl': 'On',
2280 'holdem.pl': 'Hp',
2281 'studhi.nl': 'Sn',
2282 }[cat_plus_limit]
2283 return (stat,
2284 '%s' % stat,
2285 'game=%s' % stat,
2286 'game_abbr=%s' % stat,
2287 '(%s)' % stat,
2288 'Game abbreviation')
2289 except:
2290 return ("","","","","",
2291 'Game abbreviation')
2293def blank(stat_dict, player):
2294 # blank space on the grid
2295 stat = " "
2296 return ("", "", "", "", "", "<blank>")
2299################################################################################################
2300# NEW STATS
2302def vpip_pfr_ratio(stat_dict, player):
2303 """
2304 Calculate the VPIP/PFR ratio for a player.
2306 This statistic represents the ratio between a player's VPIP (Voluntarily Put money In Pot)
2307 and PFR (Pre-Flop Raise) percentages, which gives an indication of the player's preflop aggression.
2309 Args:
2310 stat_dict (dict): A dictionary containing player statistics.
2311 player (int): The player for whom the statistic is calculated.
2313 Returns:
2314 tuple: A tuple containing the calculated statistic, formatted strings, and related information.
2315 """
2316 try:
2317 vpip = float(stat_dict[player]['vpip']) / float(stat_dict[player]['vpip_opp'])
2318 pfr = float(stat_dict[player]['pfr']) / float(stat_dict[player]['pfr_opp'])
2320 if pfr > 0:
2321 stat = vpip / pfr
2322 else:
2323 stat = float('inf') # Avoid division by zero
2325 return (stat,
2326 '%2.2f' % (stat),
2327 'v/p=%2.2f' % (stat),
2328 'vpip/pfr=%2.2f' % (stat),
2329 '(%d/%d)/(%d/%d)' % (stat_dict[player]['vpip'], stat_dict[player]['vpip_opp'],
2330 stat_dict[player]['pfr'], stat_dict[player]['pfr_opp']),
2331 'VPIP/PFR ratio')
2332 except:
2333 return (float('inf'),
2334 'NA',
2335 'v/p=NA',
2336 'vpip/pfr=NA',
2337 '(0/0)/(0/0)',
2338 'VPIP/PFR ratio')
2343def three_bet_range(stat_dict, player):
2344 try:
2345 pfr = float(stat_dict[player]['pfr']) / float(stat_dict[player]['pfr_opp'])
2346 three_bet = float(stat_dict[player]['tb_0']) / float(stat_dict[player]['tb_opp_0'])
2347 stat = pfr * three_bet
2348 return (stat,
2349 '%3.1f' % (100.0*stat),
2350 '3BR=%3.1f%%' % (100.0*stat),
2351 '3BetRange=%3.1f%%' % (100.0*stat),
2352 '(%d/%d)*(%d/%d)' % (stat_dict[player]['pfr'], stat_dict[player]['pfr_opp'],
2353 stat_dict[player]['tb_0'], stat_dict[player]['tb_opp_0']),
2354 '3-Bet Range')
2355 except:
2356 return (0, 'NA', '3BR=NA', '3BetRange=NA', '(0/0)*(0/0)', '3-Bet Range')
2359def check_raise_frequency(stat_dict, player):
2360 try:
2361 total_cr = (stat_dict[player]['cr_1'] + stat_dict[player]['cr_2'] +
2362 stat_dict[player]['cr_3'])
2363 total_opp = (stat_dict[player]['ccr_opp_1'] + stat_dict[player]['ccr_opp_2'] +
2364 stat_dict[player]['ccr_opp_3'])
2365 stat = float(total_cr) / float(total_opp)
2366 return (stat,
2367 '%3.1f' % (100.0*stat),
2368 'CRF=%3.1f%%' % (100.0*stat),
2369 'CheckRaiseFreq=%3.1f%%' % (100.0*stat),
2370 '(%d/%d)' % (total_cr, total_opp),
2371 'Check-Raise Frequency')
2372 except:
2373 return (0, 'NA', 'CRF=NA', 'CheckRaiseFreq=NA', '(0/0)', 'Check-Raise Frequency')
2377def river_call_efficiency(stat_dict, player):
2378 try:
2379 river_calls = stat_dict[player]['call_3']
2380 showdowns_won = stat_dict[player]['wmsd']
2381 stat = float(showdowns_won) / float(river_calls) if river_calls > 0 else 0
2382 return (stat,
2383 '%3.1f' % (100.0*stat),
2384 'RCE=%3.1f%%' % (100.0*stat),
2385 'RiverCallEff=%3.1f%%' % (100.0*stat),
2386 '(%d/%d)' % (showdowns_won, river_calls),
2387 'River Call Efficiency')
2388 except:
2389 return (0, 'NA', 'RCE=NA', 'RiverCallEff=NA', '(0/0)', 'River Call Efficiency')
2390#
2391#
2392#
2393#################################################################################################
2395def starthands(stat_dict, player):
2396 """
2397 Retrieves the starting hands and their positions for a specific player in a hand.
2399 Args:
2400 stat_dict (dict): A dictionary containing the statistics.
2401 player (int): The ID of the player.
2403 Returns:
2404 tuple: A tuple containing the following:
2405 - A string representing the starting hands and their positions.
2406 - A string representing the starting hands and their positions.
2407 - A string representing the starting hands and their positions.
2408 - A string representing the starting hands and their positions.
2409 - A string representing the starting hands and their positions.
2410 - A string representing the title of the statistic.
2412 Raises:
2413 None.
2415 Notes:
2416 - This function retrieves the starting hands and their positions for a specific player in a hand.
2417 - The starting hands and their positions are displayed in a specific format.
2418 - The function uses a global variable `_global_hand_instance` to get the hand instance.
2419 - The function executes a SQL query to retrieve the starting hands and their positions from the database.
2420 - The function formats the retrieved data and returns it as a tuple.
2422 """
2424 hand_instance = _global_hand_instance
2425 if not hand_instance:
2426 return ("","","","","",
2427 'Hands seen at this table')
2429 #summary of known starting hands+position
2430 # data volumes could get crazy here,so info is limited to hands
2431 # in the current HH file only
2433 # this info is NOT read from the cache, so does not obey aggregation
2434 # parameters for other stats
2436 #display shows 5 categories
2437 # PFcall - limp or coldcall preflop
2438 # PFaggr - raise preflop
2439 # PFdefend - defended in BB
2440 # PFcar
2442 # hand is shown, followed by position indicator
2443 # (b=SB/BB. l=Button/cutoff m=previous 3 seats to that, e=remainder)
2445 # due to screen space required for this stat, it should only
2446 # be used in the popup section i.e.
2447 # <pu_stat pu_stat_name="starthands"> </pu_stat>
2448 handid = int(hand_instance.handid_selected)
2449 PFlimp="Limped:"
2450 PFaggr="Raised:"
2451 PFcar="Called raise:"
2452 PFdefendBB="Defend BB:"
2453 count_pfl = count_pfa = count_pfc = count_pfd = 5
2455 c = Configuration.Config()
2456 db_connection = Database.Database(c)
2457 sc = db_connection.get_cursor()
2459 query = ("SELECT distinct startCards, street0Aggr, street0CalledRaiseDone, " +
2460 "case when HandsPlayers.position = 'B' then 'b' " +
2461 "when HandsPlayers.position = 'S' then 'b' " +
2462 "when HandsPlayers.position = '0' then 'l' " +
2463 "when HandsPlayers.position = '1' then 'l' " +
2464 "when HandsPlayers.position = '2' then 'm' " +
2465 "when HandsPlayers.position = '3' then 'm' " +
2466 "when HandsPlayers.position = '4' then 'm' " +
2467 "when HandsPlayers.position = '5' then 'e' " +
2468 "when HandsPlayers.position = '6' then 'e' " +
2469 "when HandsPlayers.position = '7' then 'e' " +
2470 "when HandsPlayers.position = '8' then 'e' " +
2471 "when HandsPlayers.position = '9' then 'e' " +
2472 "else 'X' end " +
2473 "FROM Hands, HandsPlayers, Gametypes " +
2474 "WHERE HandsPlayers.handId = Hands.id " +
2475 " AND Gametypes.id = Hands.gametypeid "+
2476 " AND Gametypes.type = " +
2477 " (SELECT Gametypes.type FROM Gametypes, Hands " +
2478 " WHERE Hands.gametypeid = Gametypes.id and Hands.id = %d) " +
2479 " AND Gametypes.Limittype = " +
2480 " (SELECT Gametypes.limitType FROM Gametypes, Hands " +
2481 " WHERE Hands.gametypeid = Gametypes.id and Hands.id = %d) " +
2482 "AND Gametypes.category = 'holdem' " +
2483 "AND fileId = (SELECT fileId FROM Hands " +
2484 " WHERE Hands.id = %d) " +
2485 "AND HandsPlayers.playerId = %d " +
2486 "AND street0VPI " +
2487 "AND startCards > 0 AND startCards <> 170 " +
2488 "ORDER BY startCards DESC " +
2489 ";") % (int(handid), int(handid), int(handid), int(player))
2491 #print query
2492 sc.execute(query)
2493 for (qstartcards, qstreet0Aggr, qstreet0CalledRaiseDone, qposition) in sc.fetchall():
2494 humancards = Card.decodeStartHandValue("holdem", qstartcards)
2495 #print humancards, qstreet0Aggr, qstreet0CalledRaiseDone, qposition
2496 if qposition == "b" and qstreet0CalledRaiseDone:
2497 PFdefendBB=PFdefendBB+"/"+humancards
2498 count_pfd += 1
2499 if (count_pfd / 8.0 == int(count_pfd / 8.0)):
2500 PFdefendBB=PFdefendBB+"\n"
2501 elif qstreet0Aggr == True:
2502 PFaggr=PFaggr+"/"+humancards+"."+qposition
2503 count_pfa += 1
2504 if (count_pfa / 8.0 == int(count_pfa / 8.0)):
2505 PFaggr=PFaggr+"\n"
2506 elif qstreet0CalledRaiseDone:
2507 PFcar=PFcar+"/"+humancards+"."+qposition
2508 count_pfc += 1
2509 if (count_pfc / 8.0 == int(count_pfc / 8.0)):
2510 PFcar=PFcar+"\n"
2511 else:
2512 PFlimp=PFlimp+"/"+humancards+"."+qposition
2513 count_pfl += 1
2514 if (count_pfl / 8.0 == int(count_pfl / 8.0)):
2515 PFlimp=PFlimp+"\n"
2516 sc.close()
2518 returnstring = PFlimp + "\n" + PFaggr + "\n" + PFcar + "\n" + PFdefendBB #+ "\n" + str(handid)
2520 return ((returnstring),
2521 (returnstring),
2522 (returnstring),
2523 (returnstring),
2524 (returnstring),
2525 'Hands seen at this table\n')
2528def get_valid_stats():
2529 '''
2530 Function to retrieve valid stats descriptions.
2532 Returns:
2533 dict: A dictionary containing descriptions of valid stats.
2534 '''
2535 global _global_hand_instance
2536 _global_hand_instance = None
2538 stat_descriptions = {}
2539 for function in STATLIST:
2540 function_instance = getattr(__import__(__name__), function)
2541 res=function_instance(None, None)
2542 stat_descriptions[function] = res[5]
2544 return stat_descriptions
2546STATLIST = sorted(dir())
2547misslist = [ "Configuration", "Database", "Charset", "codecs", "encoder"
2548 , "GInitiallyUnowned", "gtk", "pygtk", "Card", "L10n"
2549 , "log", "logging", 'Decimal', 'GFileDescriptorBased'
2550 , 'GPollableInputStream', 'GPollableOutputStream'
2551 , "re", "re_Places", 'Hand'
2552 ]
2553STATLIST = [ x for x in STATLIST if x not in ("do_stat", "do_tip","get_valid_stats")]
2554STATLIST = [ x for x in STATLIST if not x.startswith('_')]
2555STATLIST = [ x for x in STATLIST if x not in dir(sys) ]
2556STATLIST = [ x for x in STATLIST if x not in dir(codecs) ]
2557STATLIST = [ x for x in STATLIST if x not in misslist ]
2558#print "STATLIST is", STATLIST
2560if __name__== "__main__":
2562 c = Configuration.Config()
2563 db_connection = Database.Database(c)
2564 h = db_connection.get_last_hand()
2565 stat_dict = db_connection.get_stats_from_hand(h, "ring")
2566 hand_instance = Hand.hand_factory(h, c, db_connection)
2568 for player in stat_dict.keys():
2569 print(f"Example stats. Player = {player}, Hand = {h}:")
2570 for attr in STATLIST:
2571 print(attr, " : ", do_stat(stat_dict, player=player, stat=attr, hand_instance=hand_instance))
2572 break
2574 print()
2575 print("Legal stats:")
2576 print("(add _0 to name to display with 0 decimal places, _1 to display with 1, etc)")
2577 stat_descriptions = get_valid_stats()
2578 for stat in STATLIST:
2579 print(stat, " : ", stat_descriptions[stat])