cpython/Lib/pstats.py at 3.15 · python/cpython · GitHub

Repository navigation

History

100

101

102

103

104

105

106

107

108

109

110

111

112

113

114

115

116

117

118

119

120

121

122

123

124

125

126

127

128

129

130

131

132

133

134

135

136

137

138

139

140

141

142

143

144

145

146

147

148

149

150

151

152

153

154

155

156

157

158

159

160

161

162

163

164

165

166

167

168

169

170

171

172

173

174

175

176

177

178

179

180

181

182

183

184

185

186

187

188

189

190

191

192

193

194

195

196

197

198

199

200

201

202

203

204

205

206

207

208

209

210

211

212

213

214

215

216

217

218

219

220

221

222

223

224

225

226

227

228

229

230

231

232

233

234

235

236

237

238

239

240

241

242

243

244

245

246

247

248

249

250

251

252

253

254

255

256

257

258

259

260

261

262

263

264

265

266

267

268

269

270

271

272

273

274

275

276

277

278

279

280

281

282

283

284

285

286

287

288

289

290

291

292

293

294

295

296

297

298

299

300

301

302

303

304

305

306

307

308

309

310

311

312

313

314

315

316

317

318

319

320

321

322

323

324

325

326

327

328

329

330

331

332

333

334

335

336

337

338

339

340

341

342

343

344

345

346

347

348

349

350

351

352

353

354

355

356

357

358

359

360

361

362

363

364

365

366

367

368

369

370

371

372

373

374

375

376

377

378

379

380

381

382

383

384

385

386

387

388

389

390

391

392

393

394

395

396

397

398

399

400

401

402

403

404

405

406

407

408

409

410

411

412

413

414

415

416

417

418

419

420

421

422

423

424

425

426

427

428

429

430

431

432

433

434

435

436

437

438

439

440

441

442

443

444

445

446

447

448

449

450

451

452

453

454

455

456

457

458

459

460

461

462

463

464

465

466

467

468

469

470

471

472

473

474

475

476

477

478

479

480

481

482

483

484

485

486

487

488

489

490

491

492

493

494

495

496

497

498

499

500

501

502

503

504

505

506

507

508

509

510

511

512

513

514

515

516

517

518

519

520

521

522

523

524

525

526

527

528

529

530

531

532

533

534

535

536

537

538

539

540

541

542

543

544

545

546

547

548

549

550

551

552

553

554

555

556

557

558

559

560

561

562

563

564

565

566

567

568

569

570

571

572

573

574

575

576

577

578

579

580

581

582

583

584

585

586

587

588

589

590

591

592

593

594

595

596

597

598

599

600

601

602

603

604

605

606

607

608

609

610

611

612

613

614

615

616

617

618

619

620

621

622

623

624

625

626

627

628

629

630

631

632

633

634

635

636

637

638

639

640

641

642

643

644

645

646

647

648

649

650

651

652

653

654

655

656

657

658

659

660

661

662

663

664

665

666

667

668

669

670

671

672

673

674

675

676

677

678

679

680

681

682

683

684

685

686

687

688

689

690

691

692

693

694

695

696

697

698

699

700

701

702

703

704

705

706

707

708

709

710

711

712

713

714

715

716

717

718

719

720

721

722

723

724

725

726

727

728

729

730

731

732

733

734

735

736

737

738

739

740

741

742

743

744

745

746

747

748

749

750

751

752

753

754

755

756

757

758

759

760

761

762

763

764

765

766

767

768

769

770

771

772

773

774

775

776

777

778

779

780

781

782

783

784

785

786

787

788

789

790

791

792

793

794

795

796

797

798

799

800

801

802

803

804

805

806

807

808

809

810

811

812

813

814

815

816

817

818

819

820

821

822

823

824

825

826

827

828

829

830

831

832

833

834

835

836

837

838

839

840

"""Class for printing reports on profiled python code."""

# Written by James Roskind

# Based on prior profile module by Sjoerd Mullender...

# which was hacked somewhat by: Guido van Rossum

# Licensed to PSF under a Contributor Agreement

# Licensed under the Apache License, Version 2.0 (the "License");

# you may not use this file except in compliance with the License.

# You may obtain a copy of the License at

# http://www.apache.org/licenses/LICENSE-2.0

# Unless required by applicable law or agreed to in writing, software

# distributed under the License is distributed on an "AS IS" BASIS,

# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,

# either express or implied. See the License for the specific language

# governing permissions and limitations under the License.

import sys

import os

import time

import marshal

import re

from enum import StrEnum, _simple_enum

from functools import cmp_to_key

from dataclasses import dataclass

__all__ = ["Stats", "SortKey", "FunctionProfile", "StatsProfile"]

@_simple_enum(StrEnum)

class SortKey:

CALLS = 'calls', 'ncalls'

CUMULATIVE = 'cumulative', 'cumtime'

FILENAME = 'filename', 'module'

LINE = 'line'

NAME = 'name'

NFL = 'nfl'

PCALLS = 'pcalls'

STDNAME = 'stdname'

TIME = 'time', 'tottime'

def __new__(cls, *values):

value = values[0]

obj = str.__new__(cls, value)

obj._value_ = value

for other_value in values[1:]:

cls._value2member_map_[other_value] = obj

obj._all_values = values

return obj

@dataclass(unsafe_hash=True)

class FunctionProfile:

ncalls: str

tottime: float

percall_tottime: float

cumtime: float

percall_cumtime: float

file_name: str

line_number: int

@dataclass(unsafe_hash=True)

class StatsProfile:

'''Class for keeping track of an item in inventory.'''

total_tt: float

func_profiles: dict[str, FunctionProfile]

class Stats:

"""This class is used for creating reports from data generated by the

Profile class. It is a "friend" of that class, and imports data either

by direct access to members of Profile class, or by reading in a dictionary

that was emitted (via marshal) from the Profile class.

The big change from the previous Profiler (in terms of raw functionality)

is that an "add()" method has been provided to combine Stats from

several distinct profile runs. Both the constructor and the add()

method now take arbitrarily many file names as arguments.

All the print methods now take an argument that indicates how many lines

to print. If the arg is a floating-point number between 0 and 1.0, then

it is taken as a decimal percentage of the available lines to be printed

(e.g., .1 means print 10% of all available lines). If it is an integer,

it is taken to mean the number of lines of data that you wish to have

printed.

The sort_stats() method now processes some additional options (i.e., in

addition to the old -1, 0, 1, or 2 that are respectively interpreted as

'stdname', 'calls', 'time', and 'cumulative'). It takes either an

arbitrary number of quoted strings or SortKey enum to select the sort

order.

For example sort_stats('time', 'name') or sort_stats(SortKey.TIME,

SortKey.NAME) sorts on the major key of 'internal function time', and on

the minor key of 'the name of the function'. Look at the two tables in

sort_stats() and get_sort_arg_defs(self) for more examples.

All methods return self, so you can string together commands like:

Stats('foo', 'goo').strip_dirs().sort_stats('calls').\

print_stats(5).print_callers(5)

"""

def __init__(self, *args, stream=None):

self.stream = stream or sys.stdout

if not len(args):

arg = None

else:

arg = args[0]

args = args[1:]

self.init(arg)

self.add(*args)

def init(self, arg):

self.all_callees = None # calc only if needed

self.files = []

self.fcn_list = None

self.total_tt = 0

self.total_calls = 0

self.prim_calls = 0

self.max_name_len = 0

self.top_level = set()

self.stats = {}

self.sort_arg_dict = {}

self.load_stats(arg)

try:

self.get_top_level_stats()

except Exception:

print("Invalid timing data %s" %

(self.files[-1] if self.files else ''), file=self.stream)

raise

def load_stats(self, arg):

if arg is None:

self.stats = {}

return

elif isinstance(arg, str):

with open(arg, 'rb') as f:

stats = marshal.load(f)

if (('__sampled__',)) in stats:

stats.pop((('__sampled__',)))

self.__class__ = SampledStats

self.stats = stats

try:

file_stats = os.stat(arg)

arg = time.ctime(file_stats.st_mtime) + " " + arg

except: # in case this is not unix

pass

self.files = [arg]

elif hasattr(arg, 'create_stats'):

arg.create_stats()

self.stats = arg.stats

arg.stats = {}

return

if not self.stats:

raise TypeError("Cannot create or construct a %r object from %r"

% (self.__class__, arg))

return

def get_top_level_stats(self):

for func, (cc, nc, tt, ct, callers) in self.stats.items():

self.total_calls += nc

self.prim_calls += cc

self.total_tt += tt

if ("jprofile", 0, "profiler") in callers:

self.top_level.add(func)

if len(func_std_string(func)) > self.max_name_len:

self.max_name_len = len(func_std_string(func))

def add(self, *arg_list):

if not arg_list:

return self

for item in reversed(arg_list):

if type(self) != type(item):

item = Stats(item)

self.files += item.files

self.total_calls += item.total_calls

self.prim_calls += item.prim_calls

self.total_tt += item.total_tt

for func in item.top_level:

self.top_level.add(func)

if self.max_name_len < item.max_name_len:

self.max_name_len = item.max_name_len

self.fcn_list = None

for func, stat in item.stats.items():

if func in self.stats:

old_func_stat = self.stats[func]

else:

old_func_stat = (0, 0, 0, 0, {},)

self.stats[func] = add_func_stats(old_func_stat, stat)

return self

def dump_stats(self, filename):

"""Write the profile data to a file we know how to load back."""

with open(filename, 'wb') as f:

marshal.dump(self.stats, f)

# list the tuple indices and directions for sorting,

# along with some printable description

sort_arg_dict_default = {

"calls" : (((1,-1), ), "call count"),

"ncalls" : (((1,-1), ), "call count"),

"cumtime" : (((3,-1), ), "cumulative time"),

"cumulative": (((3,-1), ), "cumulative time"),

"filename" : (((4, 1), ), "file name"),

"line" : (((5, 1), ), "line number"),

"module" : (((4, 1), ), "file name"),

"name" : (((6, 1), ), "function name"),

"nfl" : (((6, 1),(4, 1),(5, 1),), "name/file/line"),

"pcalls" : (((0,-1), ), "primitive call count"),

"stdname" : (((7, 1), ), "standard name"),

"time" : (((2,-1), ), "internal time"),

"tottime" : (((2,-1), ), "internal time"),

}

def get_sort_arg_defs(self):

"""Expand all abbreviations that are unique."""

if not self.sort_arg_dict:

self.sort_arg_dict = dict = {}

bad_list = {}

for word, tup in self.sort_arg_dict_default.items():

fragment = word

while fragment:

if fragment in dict:

bad_list[fragment] = 0

break

dict[fragment] = tup

fragment = fragment[:-1]

for word in bad_list:

del dict[word]

return self.sort_arg_dict

def sort_stats(self, *field):

if not field:

self.fcn_list = 0

return self

if len(field) == 1 and isinstance(field[0], int):

# Be compatible with old profiler

field = [ {-1: "stdname",

0: "calls",

1: "time",

2: "cumulative"}[field[0]] ]

elif len(field) >= 2:

for arg in field[1:]:

if type(arg) != type(field[0]):

raise TypeError("Can't have mixed argument type")

sort_arg_defs = self.get_sort_arg_defs()

sort_tuple = ()

self.sort_type = ""

connector = ""

for word in field:

if isinstance(word, SortKey):

word = word.value

sort_tuple = sort_tuple + sort_arg_defs[word][0]

self.sort_type += connector + sort_arg_defs[word][1]

connector = ", "

stats_list = []

for func, (cc, nc, tt, ct, callers) in self.stats.items():

stats_list.append((cc, nc, tt, ct) + func +

(func_std_string(func), func))

stats_list.sort(key=cmp_to_key(TupleComp(sort_tuple).compare))

self.fcn_list = fcn_list = []

for tuple in stats_list:

fcn_list.append(tuple[-1])

return self

def reverse_order(self):

if self.fcn_list:

self.fcn_list.reverse()

return self

def strip_dirs(self):

oldstats = self.stats

self.stats = newstats = {}

max_name_len = 0

for func, (cc, nc, tt, ct, callers) in oldstats.items():

newfunc = func_strip_path(func)

if len(func_std_string(newfunc)) > max_name_len:

max_name_len = len(func_std_string(newfunc))

newcallers = {}

for func2, caller in callers.items():

newcallers[func_strip_path(func2)] = caller

if newfunc in newstats:

newstats[newfunc] = add_func_stats(

newstats[newfunc],

(cc, nc, tt, ct, newcallers))

else:

newstats[newfunc] = (cc, nc, tt, ct, newcallers)

old_top = self.top_level

self.top_level = new_top = set()

for func in old_top:

new_top.add(func_strip_path(func))

self.max_name_len = max_name_len

self.fcn_list = None

self.all_callees = None

return self

def calc_callees(self):

if self.all_callees:

return

self.all_callees = all_callees = {}

for func, (cc, nc, tt, ct, callers) in self.stats.items():

if not func in all_callees:

all_callees[func] = {}

for func2, caller in callers.items():

if not func2 in all_callees:

all_callees[func2] = {}

all_callees[func2][func] = caller

return

#******************************************************************

# The following functions support actual printing of reports

#******************************************************************

# Optional "amount" is either a line count, or a percentage of lines.

def eval_print_amount(self, sel, list, msg):

new_list = list

if isinstance(sel, str):

try:

rex = re.compile(sel)

except re.PatternError:

msg += " <Invalid regular expression %r>\n" % sel

return new_list, msg

new_list = []

for func in list:

if rex.search(func_std_string(func)):

new_list.append(func)

else:

count = len(list)

if isinstance(sel, float) and 0.0 <= sel < 1.0:

count = int(count * sel + .5)

new_list = list[:count]

elif isinstance(sel, int) and 0 <= sel < count:

count = sel

new_list = list[:count]

if len(list) != len(new_list):

msg += " List reduced from %r to %r due to restriction <%r>\n" % (

len(list), len(new_list), sel)

return new_list, msg

def get_stats_profile(self):

"""This method returns an instance of StatsProfile, which contains a mapping

of function names to instances of FunctionProfile. Each FunctionProfile

instance holds information related to the function's profile such as how

long the function took to run, how many times it was called, etc...

"""

func_list = self.fcn_list[:] if self.fcn_list else list(self.stats.keys())

if not func_list:

return StatsProfile(0, {})

total_tt = float(f8(self.total_tt))

func_profiles = {}

stats_profile = StatsProfile(total_tt, func_profiles)

for func in func_list:

cc, nc, tt, ct, callers = self.stats[func]

file_name, line_number, func_name = func

ncalls = str(nc) if nc == cc else (str(nc) + '/' + str(cc))

tottime = float(f8(tt))

percall_tottime = -1 if nc == 0 else float(f8(tt/nc))

cumtime = float(f8(ct))

percall_cumtime = -1 if cc == 0 else float(f8(ct/cc))

func_profile = FunctionProfile(

ncalls,

tottime, # time spent in this function alone

percall_tottime,

cumtime, # time spent in the function plus all functions that this function called,

percall_cumtime,

file_name,

line_number

)

func_profiles[func_name] = func_profile

return stats_profile

def get_print_list(self, sel_list):

width = self.max_name_len

if self.fcn_list:

stat_list = self.fcn_list[:]

msg = " Ordered by: " + self.sort_type + '\n'

else:

stat_list = list(self.stats.keys())

msg = " Random listing order was used\n"

for selection in sel_list:

stat_list, msg = self.eval_print_amount(selection, stat_list, msg)

count = len(stat_list)

if not stat_list:

return 0, stat_list

print(msg, file=self.stream)

if count < len(self.stats):

width = 0

for func in stat_list:

if len(func_std_string(func)) > width:

width = len(func_std_string(func))

return width+2, stat_list

def print_stats(self, *amount):

for filename in self.files:

print(filename, file=self.stream)

if self.files:

print(file=self.stream)

indent = ' ' * 8

for func in self.top_level:

print(indent, func_get_function_name(func), file=self.stream)

print(indent, self.total_calls, "function calls", end=' ', file=self.stream)

if self.total_calls != self.prim_calls:

print("(%d primitive calls)" % self.prim_calls, end=' ', file=self.stream)

print("in %.3f seconds" % self.total_tt, file=self.stream)

print(file=self.stream)

width, list = self.get_print_list(amount)

if list:

self.print_title()

for func in list:

self.print_line(func)

print(file=self.stream)

return self

def print_callees(self, *amount):

width, list = self.get_print_list(amount)

if list:

self.calc_callees()

self.print_call_heading(width, "called...")

for func in list:

if func in self.all_callees:

self.print_call_line(width, func, self.all_callees[func])

else:

self.print_call_line(width, func, {})

print(file=self.stream)

return self

def print_callers(self, *amount):

width, list = self.get_print_list(amount)

if list:

self.print_call_heading(width, "was called by...")

for func in list:

cc, nc, tt, ct, callers = self.stats[func]

self.print_call_line(width, func, callers, "<-")

print(file=self.stream)

return self

def print_call_heading(self, name_size, column_title):

print("Function ".ljust(name_size) + column_title, file=self.stream)

# print sub-header only if we have new-style callers

subheader = False

for cc, nc, tt, ct, callers in self.stats.values():

if callers:

value = next(iter(callers.values()))

subheader = isinstance(value, tuple)

break

if subheader:

self.print_call_subheading(name_size)

def print_call_subheading(self, name_size):

print(" "*name_size + " ncalls tottime cumtime", file=self.stream)

def print_call_line(self, name_size, source, call_dict, arrow="->"):

print(func_std_string(source).ljust(name_size) + arrow, end=' ', file=self.stream)

if not call_dict:

print(file=self.stream)

return

clist = sorted(call_dict.keys())

indent = ""

for func in clist:

name = func_std_string(func)

value = call_dict[func]

if isinstance(value, tuple):

nc, cc, tt, ct = value

if nc != cc:

substats = '%d/%d' % (nc, cc)

else:

substats = '%d' % (nc,)

substats = '%s %s %s %s' % (substats.rjust(7+2*len(indent)),

f8(tt), f8(ct), name)

left_width = name_size + 1

else:

substats = '%s(%r) %s' % (name, value, f8(self.stats[func][3]))

left_width = name_size + 3

print(indent*left_width + substats, file=self.stream)

indent = " "

def print_title(self):

print(' ncalls tottime percall cumtime percall', end=' ', file=self.stream)

print('filename:lineno(function)', file=self.stream)

def print_line(self, func): # hack: should print percentages

cc, nc, tt, ct, callers = self.stats[func]

c = str(nc)

if nc != cc:

c = c + '/' + str(cc)

print(c.rjust(9), end=' ', file=self.stream)

print(f8(tt), end=' ', file=self.stream)

if nc == 0:

print(' '*8, end=' ', file=self.stream)

else:

print(f8(tt/nc), end=' ', file=self.stream)

print(f8(ct), end=' ', file=self.stream)

if cc == 0:

print(' '*8, end=' ', file=self.stream)

else:

print(f8(ct/cc), end=' ', file=self.stream)

print(func_std_string(func), file=self.stream)

class SampledStats(Stats):

def __init__(self, *args, stream=None):

super().__init__(*args, stream=stream)

self.sort_arg_dict = {

"samples" : (((1,-1), ), "sample count"),

"nsamples" : (((1,-1), ), "sample count"),

"cumtime" : (((3,-1), ), "cumulative time"),

"cumulative": (((3,-1), ), "cumulative time"),

"filename" : (((4, 1), ), "file name"),

"line" : (((5, 1), ), "line number"),

"module" : (((4, 1), ), "file name"),

"name" : (((6, 1), ), "function name"),

"nfl" : (((6, 1),(4, 1),(5, 1),), "name/file/line"),

"psamples" : (((0,-1), ), "primitive call count"),

"stdname" : (((7, 1), ), "standard name"),

"time" : (((2,-1), ), "internal time"),

"tottime" : (((2,-1), ), "internal time"),

}

def print_call_subheading(self, name_size):

print(" "*name_size + " nsamples tottime cumtime", file=self.stream)

def print_title(self):

print(' nsamples tottime persample cumtime persample', end=' ', file=self.stream)

print('filename:lineno(function)', file=self.stream)

class TupleComp:

"""This class provides a generic function for comparing any two tuples.

Each instance records a list of tuple-indices (from most significant

to least significant), and sort direction (ascending or descending) for

each tuple-index. The compare functions can then be used as the function

argument to the system sort() function when a list of tuples need to be

sorted in the instances order."""

def __init__(self, comp_select_list):

self.comp_select_list = comp_select_list

def compare (self, left, right):

for index, direction in self.comp_select_list:

l = left[index]

r = right[index]

if l < r:

return -direction

if l > r:

return direction

return 0

#**************************************************************************

# func_name is a triple (file:string, line:int, name:string)

def func_strip_path(func_name):

filename, line, name = func_name

return os.path.basename(filename), line, name

def func_get_function_name(func):

return func[2]

def func_std_string(func_name): # match what old profile produced

if func_name[:2] == ('~', 0):

# special case for built-in functions

name = func_name[2]

if name.startswith('<') and name.endswith('>'):

return '{%s}' % name[1:-1]

else:

return name

else:

return "%s:%d(%s)" % func_name

#**************************************************************************

# The following functions combine statistics for pairs functions.

# The bulk of the processing involves correctly handling "call" lists,

# such as callers and callees.

#**************************************************************************

def add_func_stats(target, source):

"""Add together all the stats for two profile entries."""

cc, nc, tt, ct, callers = source

t_cc, t_nc, t_tt, t_ct, t_callers = target

return (cc+t_cc, nc+t_nc, tt+t_tt, ct+t_ct,

add_callers(t_callers, callers))

def add_callers(target, source):

"""Combine two caller lists in a single list."""

new_callers = {}

for func, caller in target.items():

new_callers[func] = caller

for func, caller in source.items():

if func in new_callers:

if isinstance(caller, tuple):

# format used by cProfile

new_callers[func] = tuple(i + j for i, j in zip(caller, new_callers[func]))

else:

# format used by profile

new_callers[func] += caller

else:

new_callers[func] = caller

return new_callers

def count_calls(callers):

"""Sum the caller statistics to get total number of calls received."""

nc = 0

for calls in callers.values():

nc += calls

return nc

#**************************************************************************

# The following functions support printing of reports

#**************************************************************************

def f8(x):

return "%8.3f" % x

#**************************************************************************

# Statistics browser added by ESR, April 2001

#**************************************************************************

class StatsLoaderShim:

"""Compatibility shim implementing 'create_stats' needed by Stats classes

to handle already unmarshalled data."""

def __init__(self, raw_stats):

self.stats = raw_stats

def create_stats(self):

pass

def stats_factory(raw_stats):

"""Return a Stats or SampledStats instance based on the marker in raw_stats."""

if (('__sampled__',)) in raw_stats:

raw_stats = dict(raw_stats) # avoid mutating caller's dict

raw_stats.pop((('__sampled__',)))

return SampledStats(StatsLoaderShim(raw_stats))

else:

return Stats(StatsLoaderShim(raw_stats))

if __name__ == '__main__':

import cmd

try:

import readline # noqa: F401

except ImportError:

pass

class ProfileBrowser(cmd.Cmd):

def __init__(self, profile=None):

cmd.Cmd.__init__(self)

self.prompt = "% "

self.stats = None

self.stream = sys.stdout

if profile is not None:

self.do_read(profile)

def generic(self, fn, line):

args = line.split()

processed = []

for term in args:

try:

processed.append(int(term))

continue

except ValueError:

pass

try:

frac = float(term)

if frac > 1 or frac < 0:

print("Fraction argument must be in [0, 1]", file=self.stream)

continue

processed.append(frac)

continue

except ValueError:

pass

processed.append(term)

if self.stats:

getattr(self.stats, fn)(*processed)

else:

print("No statistics object is loaded.", file=self.stream)

return 0

def generic_help(self):

print("Arguments may be:", file=self.stream)

print("* An integer maximum number of entries to print.", file=self.stream)

print("* A decimal fractional number between 0 and 1, controlling", file=self.stream)

print(" what fraction of selected entries to print.", file=self.stream)

print("* A regular expression; only entries with function names", file=self.stream)

print(" that match it are printed.", file=self.stream)

def do_add(self, line):

if self.stats:

try:

self.stats.add(line)

except OSError as e:

print("Failed to load statistics for %s: %s" % (line, e), file=self.stream)

else:

print("No statistics object is loaded.", file=self.stream)

return 0

def help_add(self):

print("Add profile info from given file to current statistics object.", file=self.stream)

def do_callees(self, line):

return self.generic('print_callees', line)

def help_callees(self):

print("Print callees statistics from the current stat object.", file=self.stream)

self.generic_help()

def do_callers(self, line):

return self.generic('print_callers', line)

def help_callers(self):

print("Print callers statistics from the current stat object.", file=self.stream)

self.generic_help()

def do_EOF(self, line):

print("", file=self.stream)

return 1

def help_EOF(self):

print("Leave the profile browser.", file=self.stream)

def do_quit(self, line):

return 1

def help_quit(self):

print("Leave the profile browser.", file=self.stream)

def do_read(self, line):

if line:

try:

with open(line, 'rb') as f:

raw_stats = marshal.load(f)

self.stats = stats_factory(raw_stats)

try:

file_stats = os.stat(line)

arg = time.ctime(file_stats.st_mtime) + " " + line

except Exception:

arg = line

self.stats.files = [arg]

except OSError as err:

print(err.args[1], file=self.stream)

return

except Exception as err:

print(err.__class__.__name__ + ':', err, file=self.stream)

return

self.prompt = line + "% "

elif len(self.prompt) > 2:

line = self.prompt[:-2]

self.do_read(line)

else:

print("No statistics object is current -- cannot reload.", file=self.stream)

return 0

def help_read(self):

print("Read in profile data from a specified file.", file=self.stream)

print("Without argument, reload the current file.", file=self.stream)

def do_reverse(self, line):

if self.stats:

self.stats.reverse_order()

else:

print("No statistics object is loaded.", file=self.stream)

return 0

def help_reverse(self):

print("Reverse the sort order of the profiling report.", file=self.stream)

def do_sort(self, line):

if not self.stats:

print("No statistics object is loaded.", file=self.stream)

return

abbrevs = self.stats.get_sort_arg_defs()

if line and all((x in abbrevs) for x in line.split()):

self.stats.sort_stats(*line.split())

else:

print("Valid sort keys (unique prefixes are accepted):", file=self.stream)

for (key, value) in Stats.sort_arg_dict_default.items():

print("%s -- %s" % (key, value[1]), file=self.stream)

return 0

def help_sort(self):

print("Sort profile data according to specified keys.", file=self.stream)

print("(Typing `sort' without arguments lists valid keys.)", file=self.stream)

def complete_sort(self, text, *args):

return [a for a in Stats.sort_arg_dict_default if a.startswith(text)]

def do_stats(self, line):

return self.generic('print_stats', line)

def help_stats(self):

print("Print statistics from the current stat object.", file=self.stream)

self.generic_help()

def do_strip(self, line):

if self.stats:

self.stats.strip_dirs()

else:

print("No statistics object is loaded.", file=self.stream)

def help_strip(self):

print("Strip leading path information from filenames in the report.", file=self.stream)

def help_help(self):

print("Show help for a given command.", file=self.stream)

def postcmd(self, stop, line):

if stop:

return stop

return None

if len(sys.argv) > 1:

initprofile = sys.argv[1]

else:

initprofile = None

try:

browser = ProfileBrowser(initprofile)

for profile in sys.argv[2:]:

browser.do_add(profile)

print("Welcome to the profile statistics browser.", file=browser.stream)

browser.cmdloop()

print("Goodbye.", file=browser.stream)

except KeyboardInterrupt:

pass

# That's all, folks.

cpython/Lib/pstats.py at 3.15 · python/cpython · GitHub

Repository navigation

Expand file tree

Breadcrumbs

pstats.py

Latest commit

History

Breadcrumbs

pstats.py

File metadata and controls