repo stringlengths 2 99 | file stringlengths 13 225 | code stringlengths 0 18.3M | file_length int64 0 18.3M | avg_line_length float64 0 1.36M | max_line_length int64 0 4.26M | extension_type stringclasses 1
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pixyz | pixyz-main/pixyz/flows/conv.py | import torch
from torch import nn
from torch.nn import functional as F
import numpy as np
import scipy as sp
from .flows import Flow
class ChannelConv(Flow):
"""
Invertible 1 × 1 convolution.
Notes
-----
This is implemented with reference to the following code.
https://github.com/chaiyujin/... | 3,370 | 36.455556 | 115 | py |
pixyz | pixyz-main/pixyz/flows/normalizations.py | import torch
from torch import nn
import numpy as np
from .flows import Flow
from ..utils import epsilon
class BatchNorm1d(Flow):
"""
A batch normalization with the inverse transformation.
Notes
-----
This is implemented with reference to the following code.
https://github.com/ikostrikov/pyt... | 5,961 | 29.731959 | 96 | py |
pixyz | pixyz-main/pixyz/flows/coupling.py | import torch
import numpy as np
from .flows import Flow
class AffineCoupling(Flow):
r"""
Affine coupling layer
.. math::
:nowrap:
\begin{eqnarray*}
\mathbf{y}_{1:d} &=& \mathbf{x}_{1:d} \\
\mathbf{y}_{d+1:D} &=& \mathbf{x}_{d+1:D} \odot \exp(s(\mathbf{x}_{1:d})+t(\mathbf... | 6,754 | 27.263598 | 110 | py |
pixyz | pixyz-main/pixyz/flows/normalizing_flows.py | import math
import torch
from torch import nn
from torch.nn import functional as F
from ..utils import epsilon
from .flows import Flow
class PlanarFlow(Flow):
r"""
Planar flow.
.. math::
f(\mathbf{x}) = \mathbf{x} + \mathbf{u} h( \mathbf{w}^T \mathbf{x} + \mathbf{b})
"""
def __init__(s... | 2,136 | 29.971014 | 95 | py |
pixyz | pixyz-main/pixyz/flows/flows.py | from torch import nn
class Flow(nn.Module):
"""Flow class. In Pixyz, all flows are required to inherit this class."""
def __init__(self, in_features):
"""
Parameters
----------
in_features : int
Size of input data.
"""
super().__init__()
s... | 2,914 | 23.291667 | 111 | py |
pixyz | pixyz-main/pixyz/flows/operations.py | import torch
import torch.nn.functional as F
import numpy as np
from .flows import Flow
from ..utils import sum_samples
class Squeeze(Flow):
"""
Squeeze operation.
c * s * s -> 4c * s/2 * s/2
Examples
--------
>>> import torch
>>> a = torch.tensor([i+1 for i in range(16)]).view(1,1,4,4)... | 6,742 | 24.541667 | 98 | py |
pixyz | pixyz-main/pixyz/models/vi.py | from torch import optim
from ..models.model import Model
from ..utils import tolist
from ..losses import ELBO
class VI(Model):
"""
Variational Inference (Amortized inference)
The ELBO for given distributions (p, approximate_dist) is set as the loss class of this model.
"""
def __init__(self, p,... | 1,794 | 31.636364 | 98 | py |
pixyz | pixyz-main/pixyz/models/model.py | from torch import optim, nn
import torch
from torch.nn.utils import clip_grad_norm_, clip_grad_value_
import re
from ..utils import tolist
from ..distributions.distributions import Distribution
class Model(object):
"""
This class is for training and testing a loss class.
It requires a defined loss class,... | 6,465 | 29.790476 | 122 | py |
pixyz | pixyz-main/pixyz/models/vae.py | from torch import optim
from ..models.model import Model
from ..utils import tolist
class VAE(Model):
"""
Variational Autoencoder.
In VAE class, reconstruction loss on given distributions (encoder and decoder) is set as the default loss class.
However, if you want to add additional terms, e.g., the ... | 2,227 | 34.935484 | 116 | py |
pixyz | pixyz-main/pixyz/models/gan.py | from torch import optim
from ..models.model import Model
from ..losses import AdversarialJensenShannon
from ..distributions import EmpiricalDistribution
class GAN(Model):
r"""
Generative Adversarial Network
(Adversarial) Jensen-Shannon divergence between given distributions (p_data, p)
is set as the... | 5,491 | 30.745665 | 91 | py |
pixyz | pixyz-main/pixyz/models/__init__.py | from .model import Model
from .vae import VAE
from .vi import VI
from .ml import ML
from .gan import GAN
__all__ = [
'Model',
'ML',
'VAE',
'VI',
'GAN',
]
| 175 | 11.571429 | 24 | py |
pixyz | pixyz-main/pixyz/models/ml.py | from torch import optim
from ..models.model import Model
from ..utils import tolist
class ML(Model):
"""
Maximum Likelihood (log-likelihood)
The negative log-likelihood of a given distribution (p) is set as the loss class of this model.
"""
def __init__(self, p,
other_distributi... | 1,624 | 30.862745 | 99 | py |
pixyz | pixyz-main/pixyz/layers/resnet.py | import torch
import torch.nn as nn
import torch.nn.functional as F
from .norm_util import WNConv2d
class ResidualBlock(nn.Module):
"""ResNet basic block with weight norm."""
def __init__(self, in_channels, out_channels):
super().__init__()
self.in_norm = nn.BatchNorm2d(in_channels)
s... | 2,757 | 33.475 | 109 | py |
pixyz | pixyz-main/pixyz/layers/norm_util.py | import torch.nn as nn
class WNConv2d(nn.Module):
"""Weight-normalized 2d convolution.
Args:
in_channels (int): Number of channels in the input.
out_channels (int): Number of channels in the output.
kernel_size (int): Side length of each convolutional kernel.
padding (int): Padd... | 746 | 32.954545 | 90 | py |
pixyz | pixyz-main/pixyz/layers/__init__.py | from .resnet import ResNet
__all__ = [
'ResNet',
]
| 56 | 8.5 | 26 | py |
pixyz | pixyz-main/pixyz/losses/losses.py | import abc
import sympy
import torch
from torch.nn import DataParallel
from torch.nn.parallel import DistributedDataParallel
import numbers
from copy import deepcopy
from ..utils import get_dict_values
class Loss(torch.nn.Module, metaclass=abc.ABCMeta):
"""Loss class. In Pixyz, all loss classes are required to ... | 28,918 | 29.83049 | 128 | py |
pixyz | pixyz-main/pixyz/losses/mmd.py | import torch
import sympy
from .losses import Divergence
from ..utils import get_dict_values
class MMD(Divergence):
r"""
The Maximum Mean Discrepancy (MMD).
.. math::
D_{MMD^2}[p||q] = \mathbb{E}_{p(x), p(x')}[k(x, x')] + \mathbb{E}_{q(x), q(x')}[k(x, x')]
- 2\mathbb{E}_{p(x), q(x')}[k(x... | 3,976 | 31.598361 | 109 | py |
pixyz | pixyz-main/pixyz/losses/adversarial_loss.py | import sympy
from torch import optim, nn
import torch
from .losses import Divergence
from ..utils import get_dict_values, detach_dict
class AdversarialLoss(Divergence):
def __init__(self, p, q, discriminator, optimizer=optim.Adam, optimizer_params={}):
if set(p.var) != set(q.var):
raise ValueE... | 19,715 | 33.650264 | 116 | py |
pixyz | pixyz-main/pixyz/losses/divergences.py | import sympy
import torch
from torch.distributions import kl_divergence
from ..utils import get_dict_values
from .losses import Divergence
def KullbackLeibler(p, q, dim=None, analytical=True, sample_shape=torch.Size([1])):
r"""
Kullback-Leibler divergence (analytical or Monte Carlo Apploximation).
.. ma... | 4,222 | 37.045045 | 114 | py |
pixyz | pixyz-main/pixyz/losses/iteration.py | from copy import deepcopy
import sympy
from .losses import Loss
from ..utils import get_dict_values, replace_dict_keys
class IterativeLoss(Loss):
r"""
Iterative loss.
This class allows implementing an arbitrary model which requires iteration.
.. math::
\mathcal{L} = \sum_{t=0}^{T-1}\mathca... | 5,840 | 34.186747 | 113 | py |
pixyz | pixyz-main/pixyz/losses/wasserstein.py | from torch.nn.modules.distance import PairwiseDistance
import sympy
from .losses import Divergence
from ..utils import get_dict_values
class WassersteinDistance(Divergence):
r"""
Wasserstein distance.
.. math::
W(p, q) = \inf_{\Gamma \in \mathcal{P}(x_p\sim p, x_q\sim q)} \mathbb{E}_{(x_p, x_q)... | 2,504 | 32.4 | 119 | py |
pixyz | pixyz-main/pixyz/losses/pdf.py | import sympy
import torch
from .losses import Loss
class LogProb(Loss):
r"""
The log probability density/mass function.
.. math::
\log p(x)
Examples
--------
>>> import torch
>>> from pixyz.distributions import Normal
>>> p = Normal(loc=torch.tensor(0.), scale=torch.tensor(1... | 1,978 | 25.039474 | 115 | py |
pixyz | pixyz-main/pixyz/losses/elbo.py | import torch
def ELBO(p, q, sample_shape=torch.Size([1])):
r"""
The evidence lower bound (Monte Carlo approximation).
.. math::
\mathbb{E}_{q(z|x)}\left[\log \frac{p(x,z)}{q(z|x)}\right] \approx \frac{1}{L}\sum_{l=1}^L \log p(x, z_l),
\quad \text{where} \quad z_l \sim q(z|x).
Note:... | 985 | 33 | 114 | py |
pixyz | pixyz-main/pixyz/losses/__init__.py | from .divergences import (
KullbackLeibler,
)
from .entropy import (
Entropy,
CrossEntropy,
)
from .elbo import (
ELBO,
)
from .pdf import (
LogProb,
Prob,
)
from .adversarial_loss import (
AdversarialJensenShannon,
AdversarialKullbackLeibler,
AdversarialWassersteinDistance
)
fr... | 1,024 | 13.642857 | 37 | py |
pixyz | pixyz-main/pixyz/losses/entropy.py | import sympy
import torch
from pixyz.losses.losses import Loss
from pixyz.losses.divergences import KullbackLeibler
def Entropy(p, analytical=True, sample_shape=torch.Size([1])):
r"""
Entropy (Analytical or Monte Carlo approximation).
.. math::
H(p) &= -\mathbb{E}_{p(x)}[\log p(x)] \qquad \text... | 3,375 | 33.44898 | 126 | py |
pixyz | pixyz-main/pixyz/autoregressions/__init__.py | 0 | 0 | 0 | py | |
pixyz | pixyz-main/tests/test_example_usage.py | # flake8: noqa: F841
from __future__ import print_function
# if you want to run all tests (contains below), type> pytest -m "performance or not performance"
import pytest
import torch
import torch.utils.data
from torch import nn, optim
from torch.nn import functional as F
from torch.utils.data import DataLoader
import... | 126,799 | 29.517449 | 554 | py |
pixyz | pixyz-main/tests/distributions/test_distribution.py | import pytest
from os.path import join as pjoin
import torch
from pixyz.distributions import Normal, MixtureModel, Categorical, FactorizedBernoulli
from pixyz.utils import lru_cache_for_sample_dict
from pixyz.losses import KullbackLeibler
from pixyz.models import VAE
class TestGraph:
def test_rename_atomdist(self... | 10,844 | 41.034884 | 120 | py |
pixyz | pixyz-main/tests/distributions/test_expornential_distributions.py | import pytest
import torch
from pixyz.distributions.exponential_distributions import RelaxedBernoulli, Normal
class TestNormal:
def test_init_with_same_param(self):
n = Normal(var=['x'], cond_var=['y'], loc='y', scale='y')
result = n.sample({'y': torch.ones(2, 3)})
assert result['x'].shap... | 932 | 34.884615 | 103 | py |
pixyz | pixyz-main/tests/models/test_model.py | import os
import torch
import torch.nn as nn
from pixyz.distributions import Normal
from pixyz.losses import CrossEntropy
from pixyz.models import Model
class TestModel:
def _make_model(self, loc):
class Dist(Normal):
def __init__(self):
super().__init__(loc=loc, scale=1)
... | 1,009 | 24.897436 | 55 | py |
pixyz | pixyz-main/tests/losses/test_losses.py | from pixyz.distributions import Normal
from pixyz.losses import Expectation
class TestExpectation:
def test_sample_mean(self):
p = Normal(loc=0, scale=1)
f = p.log_prob()
e = Expectation(p, f)
e.eval({}, sample_mean=True)
| 260 | 22.727273 | 38 | py |
pixyz | pixyz-main/tests/losses/test_iteration.py | import torch
from pixyz.losses import IterativeLoss, Parameter, Expectation
from pixyz.distributions import Normal
class TestIterativeLoss:
def test_print_latex(self):
t_max = 3
itr = IterativeLoss(Parameter('t'), max_iter=t_max, timestep_var='t')
assert itr.loss_text == r"\sum_{t=0}^{" + ... | 1,412 | 43.15625 | 99 | py |
pixyz | pixyz-main/docs/source/conf.py | # -*- coding: utf-8 -*-
#
# Configuration file for the Sphinx documentation builder.
#
# This file does only contain a selection of the most common options. For a
# full list see the documentation:
# http://www.sphinx-doc.org/en/master/config
# -- Path setup ------------------------------------------------------------... | 5,099 | 28.651163 | 79 | py |
pixyz | pixyz-main/tutorial/English/utils.py | from torch.utils.data import Dataset
import pickle
import numpy as np
import torch
import torchvision
import matplotlib.pyplot as plt
def imshow(img_tensors):
img = torchvision.utils.make_grid(img_tensors)
npimg = img.numpy()
plt.figure(figsize=(16, 12))
plt.imshow(np.transpose(npimg, (1, 2, 0)))
... | 2,721 | 29.931818 | 117 | py |
pixyz | pixyz-main/tutorial/English/prepare_cartpole_dataset.py | import gym
import pickle
import numpy as np
import cv2
def main():
env = gym.make("CartPole-v1")
observation = env.reset()
episodes = {"frames": [], "actions": []}
# for 56 *56 episode num = 500
# for 28 * 28 episode num = 1000
for _episode in range(1000):
frames = []
actions... | 1,107 | 25.380952 | 93 | py |
pixyz | pixyz-main/tutorial/Japanese/utils.py | from torch.utils.data import Dataset
import pickle
import numpy as np
import torch
import torchvision
import matplotlib.pyplot as plt
def imshow(img_tensors):
img = torchvision.utils.make_grid(img_tensors)
npimg = img.numpy()
plt.figure(figsize=(16, 12))
plt.imshow(np.transpose(npimg, (1, 2, 0)))
... | 2,721 | 29.931818 | 117 | py |
pixyz | pixyz-main/tutorial/Japanese/prepare_cartpole_dataset.py | import gym
import pickle
import numpy as np
import cv2
def main():
env = gym.make("CartPole-v1")
observation = env.reset()
episodes = {"frames": [], "actions": []}
# for 56 *56 episode num = 500
# for 28 * 28 episode num = 1000
for _episode in range(1000):
frames = []
actions... | 1,107 | 25.380952 | 93 | py |
archive-query-log | archive-query-log-main/archive_query_log/__main__.py | from archive_query_log.cli import main
if __name__ == "__main__":
main()
| 78 | 14.8 | 38 | py |
archive-query-log | archive-query-log-main/archive_query_log/test_fastwarc.py | def test_fastwarc_installed():
import fastwarc
assert fastwarc
from fastwarc import GZipStream
assert GZipStream
from fastwarc import FileStream
assert FileStream
from fastwarc import ArchiveIterator
assert ArchiveIterator
from fastwarc import WarcRecordType
assert WarcRecord... | 515 | 21.434783 | 56 | py |
archive-query-log | archive-query-log-main/archive_query_log/conftest.py | from approvaltests import set_default_reporter, DiffReporter
from pytest import fixture
def configure_approvaltests():
set_default_reporter(DiffReporter())
@fixture(scope="session", autouse=True)
def set_default_reporter_for_all_tests():
configure_approvaltests()
| 276 | 22.083333 | 60 | py |
archive-query-log | archive-query-log-main/archive_query_log/generate_review_sample.py | from gzip import GzipFile
from io import TextIOWrapper
from pathlib import Path
from random import Random
from tqdm import tqdm
REVIEW_SAMPLE_SIZE = 1000
DATA_PATH = Path(
"/mnt/ceph/storage/data-in-progress/data-research/"
"web-search/web-archive-query-log/focused/"
)
SAMPLE_CORPUS_PATH = DATA_PATH / "samp... | 1,468 | 29.604167 | 76 | py |
archive-query-log | archive-query-log-main/archive_query_log/service_stats.py | from archive_query_log.config import SERVICES
if __name__ == '__main__':
num_url_prefixes = sum(
len(service.focused_url_prefixes)
for service in SERVICES.values()
)
print(f"Number of URL prefixes: {num_url_prefixes}")
num_query_parsers = sum(
len(service.query_parsers)
... | 1,168 | 31.472222 | 79 | py |
archive-query-log | archive-query-log-main/archive_query_log/config.py | from typing import Mapping
from archive_query_log import DATA_DIRECTORY_PATH
from archive_query_log.model import Service
from archive_query_log.services import read_services
# Load all services that have parsers and create the services for them.
SERVICES_PATH = DATA_DIRECTORY_PATH / "selected-services.yaml"
SERVICES:... | 374 | 36.5 | 71 | py |
archive-query-log | archive-query-log-main/archive_query_log/__init__.py | from logging import getLogger
from pathlib import Path
__version__ = "0.1.0"
PROJECT_DIRECTORY_PATH = Path(__file__).parent.parent
DATA_DIRECTORY_PATH = PROJECT_DIRECTORY_PATH / "data"
# DATA_DIRECTORY_PATH = Path("/mnt/ceph/storage/TODO")
CDX_API_URL = "https://web.archive.org/cdx/search/cdx"
LOGGER = getLogger(__... | 328 | 24.307692 | 54 | py |
archive-query-log | archive-query-log-main/archive_query_log/schema.py | from pyarrow import field, schema, string, timestamp, uint16, uint8, \
dictionary, int8, list_, struct, uint32
from pyarrow.dataset import partitioning
SERP_SCHEMA = schema(
fields=[
field(
"serp_id",
string(),
False,
metadata={
"descripti... | 21,534 | 29.459689 | 79 | py |
archive-query-log | archive-query-log-main/archive_query_log/cli/main.py | from click import group
@group()
def main():
pass
| 56 | 7.142857 | 23 | py |
archive-query-log | archive-query-log-main/archive_query_log/cli/corpus.py | from concurrent.futures import ThreadPoolExecutor
from contextlib import ExitStack
from csv import writer
from datetime import datetime
from gzip import GzipFile
from pathlib import Path
from typing import Collection
from uuid import UUID
from click import option, BOOL
from tqdm.auto import tqdm
from archive_query_lo... | 14,579 | 36.96875 | 79 | py |
archive-query-log | archive-query-log-main/archive_query_log/cli/stats.py | from asyncio import run
from gzip import open as gzip_open
from json import loads
from math import inf
from pathlib import Path
from click import option, BOOL, IntRange
from pandas import DataFrame
from tqdm.auto import tqdm
from archive_query_log import DATA_DIRECTORY_PATH, CDX_API_URL, LOGGER
from archive_query_log... | 7,159 | 29.729614 | 100 | py |
archive-query-log | archive-query-log-main/archive_query_log/cli/external.py | from json import loads
from math import nan
from pathlib import Path
from re import compile, escape
from urllib.parse import quote
from click import argument
from pandas import DataFrame, read_csv, Series, concat
from yaml import dump
from archive_query_log import DATA_DIRECTORY_PATH
from archive_query_log.cli import... | 7,019 | 29.655022 | 78 | py |
archive-query-log | archive-query-log-main/archive_query_log/cli/alexa.py | from pathlib import Path
from click import option, Path as PathParam, argument, IntRange
from archive_query_log import DATA_DIRECTORY_PATH, CDX_API_URL
from archive_query_log.cli.main import main
from archive_query_log.cli.util import URL
@main.group("alexa")
def alexa():
pass
@alexa.command("fetch-archived-u... | 1,690 | 22.164384 | 71 | py |
archive-query-log | archive-query-log-main/archive_query_log/cli/util.py | from typing import Dict, Any, List
from urllib.parse import urlparse
from click import Parameter, Context
from click.shell_completion import CompletionItem
from click.types import StringParamType, Path, Choice
class UrlParam(StringParamType):
name = "url"
def convert(self, value, param, ctx):
value ... | 1,871 | 25.742857 | 64 | py |
archive-query-log | archive-query-log-main/archive_query_log/cli/__init__.py | # flake8: noqa
from archive_query_log.cli.main import main
from archive_query_log.cli.alexa import alexa
from archive_query_log.cli.external import external
from archive_query_log.cli.make import make_group
from archive_query_log.cli.stats import stats_command
from archive_query_log.cli.corpus import corpus_command
fro... | 371 | 40.333333 | 55 | py |
archive-query-log | archive-query-log-main/archive_query_log/cli/make.py | from asyncio import run
from pathlib import Path
from click import option, argument, STRING, IntRange, BOOL
from archive_query_log import DATA_DIRECTORY_PATH, CDX_API_URL, LOGGER
from archive_query_log.cli import main
from archive_query_log.cli.util import PathParam, ServiceChoice
@main.group("make")
def make_group... | 7,546 | 26.344203 | 77 | py |
archive-query-log | archive-query-log-main/archive_query_log/cli/index.py | from concurrent.futures import ThreadPoolExecutor
from contextlib import ExitStack
from pathlib import Path
from click import option, BOOL
from tqdm.auto import tqdm
from archive_query_log import DATA_DIRECTORY_PATH
from archive_query_log.cli import main
from archive_query_log.cli.util import PathParam
from archive_q... | 3,141 | 27.825688 | 71 | py |
archive-query-log | archive-query-log-main/archive_query_log/index/__init__.py | from abc import ABC, abstractmethod
from csv import writer
from dataclasses import dataclass
from functools import cached_property
from gzip import GzipFile
from io import TextIOWrapper
from json import loads, JSONDecodeError
from pathlib import Path
from shelve import open as shelf_open, Shelf
from shutil import copyf... | 20,377 | 34.013746 | 79 | py |
archive-query-log | archive-query-log-main/archive_query_log/results/chatnoir.py | from dataclasses import dataclass
from typing import Pattern, Iterator
from urllib.parse import urljoin
from bs4 import Tag
from archive_query_log.model import ArchivedSearchResultSnippet, \
HighlightedText
from archive_query_log.results.parse import HtmlResultsParser
from archive_query_log.util.html import clean... | 1,475 | 32.545455 | 74 | py |
archive-query-log | archive-query-log-main/archive_query_log/results/__init__.py | 0 | 0 | 0 | py | |
archive-query-log | archive-query-log-main/archive_query_log/results/parse.py | from abc import abstractmethod, ABC
from dataclasses import dataclass
from gzip import GzipFile
from io import TextIOWrapper
from pathlib import Path
from typing import Sequence, NamedTuple, Iterator, Pattern
from urllib.parse import quote, urljoin
from bs4 import Tag, BeautifulSoup
from tqdm.auto import tqdm
from ar... | 10,392 | 31.68239 | 76 | py |
archive-query-log | archive-query-log-main/archive_query_log/results/test/test_ebay_serp_parsing.py | # flake8: noqa
# This file is auto-generated by generate_tests.py.
from archive_query_log.results.test.test_utils import verify_serp_parsing
def test_parse_query_ebay_se_xing_mei_jia_wei_vxin_dun35358_1544323503():
verify_serp_parsing(
"https://web.archive.org/web/20181209024503id_/https://www.ebay.ca/sch... | 3,238 | 42.77027 | 233 | py |
archive-query-log | archive-query-log-main/archive_query_log/results/test/test_jd_serp_parsing.py | # flake8: noqa
# This file is auto-generated by generate_tests.py.
from archive_query_log.results.test.test_utils import verify_serp_parsing
def test_parse_query_jd_yu_diao_jiu_ning_meng_1601078153():
verify_serp_parsing(
"https://web.archive.org/web/20200925235553id_/https://search.jd.com/Search?keyword=... | 6,178 | 41.909722 | 267 | py |
archive-query-log | archive-query-log-main/archive_query_log/results/test/test_reddit_serp_parsing.py | # flake8: noqa
# This file is auto-generated by generate_tests.py.
from archive_query_log.results.test.test_utils import verify_serp_parsing
def test_parse_query_reddit_teleperformance_1260472045():
verify_serp_parsing(
"https://web.archive.org/web/20091210190725id_/http://www.reddit.com:80/search?q=%22te... | 2,551 | 33.486486 | 176 | py |
archive-query-log | archive-query-log-main/archive_query_log/results/test/test_pornhub_serp_parsing.py | # flake8: noqa
# This file is auto-generated by generate_tests.py.
from archive_query_log.results.test.test_utils import verify_serp_parsing
def test_parse_query_pornhub_kardashian_1232246712():
verify_serp_parsing(
"https://web.archive.org/web/20090118024512id_/http://www.pornhub.com:80/video/search?sear... | 2,370 | 31.040541 | 122 | py |
archive-query-log | archive-query-log-main/archive_query_log/results/test/test_bongacams_serp_parsing.py | # flake8: noqa
# This file is auto-generated by generate_tests.py.
from archive_query_log.results.test.test_utils import verify_serp_parsing
def test_parse_query_bongacams_facial_1578106424():
verify_serp_parsing(
"https://web.archive.org/web/20200104025344id_/https://en.bongacams.com/male/tags/facial",
... | 2,242 | 29.310811 | 108 | py |
archive-query-log | archive-query-log-main/archive_query_log/results/test/test_vk_serp_parsing.py | # flake8: noqa
# This file is auto-generated by generate_tests.py.
from archive_query_log.results.test.test_utils import verify_serp_parsing
def test_parse_query_vk_technology_1383988940():
verify_serp_parsing(
"https://web.archive.org/web/20131109092220id_/http://vk.com/search?c%5Bq%5D=technology&c%5Bsec... | 2,844 | 37.445946 | 252 | py |
archive-query-log | archive-query-log-main/archive_query_log/results/test/test_manual_facebook_serp_parsing.py | # flake8: noqa
from archive_query_log.results.test.test_utils import verify_serp_parsing
def test_jam_of_the_day_search():
verify_serp_parsing(
'https://web.archive.org/web/20140917021101id_/https://www.facebook.com/search.php?q=%22Jam+of+the+Day&init=quick&tas=0.8517628074453497&search_first_focus=130268... | 2,136 | 28.273973 | 179 | py |
archive-query-log | archive-query-log-main/archive_query_log/results/test/test_360_serp_parsing.py | # flake8: noqa
# This file is auto-generated by generate_tests.py.
from archive_query_log.results.test.test_utils import verify_serp_parsing
def test_parse_query_360_an_jian_diao_cha_bi_lu_1576497545():
verify_serp_parsing(
"https://web.archive.org/web/20191216115905id_/https://www.so.com/s?q=%E6%A1%88%E4... | 6,709 | 45.597222 | 358 | py |
archive-query-log | archive-query-log-main/archive_query_log/results/test/generate_tests.py | from collections import defaultdict
from gzip import GzipFile
from io import TextIOWrapper, BytesIO
from json import loads
from math import inf
from pathlib import Path
from random import Random
from re import compile
from textwrap import dedent
from typing import Iterable
from requests import get
from slugify import ... | 7,349 | 35.934673 | 89 | py |
archive-query-log | archive-query-log-main/archive_query_log/results/test/test_google_serp_parsing.py | # flake8: noqa
# This file is auto-generated by generate_tests.py.
from archive_query_log.results.test.test_utils import verify_serp_parsing
def test_parse_query_google_taikoo_hui_mandarin_oriental_hotel_guangzhou_1652086766():
verify_serp_parsing(
"https://web.archive.org/web/20220509085926id_/https://ww... | 7,748 | 52.8125 | 1,159 | py |
archive-query-log | archive-query-log-main/archive_query_log/results/test/test_github_serp_parsing.py | # flake8: noqa
# This file is auto-generated by generate_tests.py.
from archive_query_log.results.test.test_utils import verify_serp_parsing
def test_parse_query_github_topic_deprecated_org_bandwidth_fork_true_1634361552():
verify_serp_parsing(
"https://web.archive.org/web/20211016051912id_/https://github... | 2,590 | 34.013514 | 184 | py |
archive-query-log | archive-query-log-main/archive_query_log/results/test/test_csdn_serp_parsing.py | # flake8: noqa
# This file is auto-generated by generate_tests.py.
from archive_query_log.results.test.test_utils import verify_serp_parsing
def test_parse_query_csdn_fifo_1663204137():
verify_serp_parsing(
"https://web.archive.org/web/20220915010857id_/https://so.csdn.net/so/search?q=FIFO&spm=1001.2101.3... | 775 | 30.04 | 117 | py |
archive-query-log | archive-query-log-main/archive_query_log/results/test/test_manual_google_serp_parsing.py | # flake8: noqa
from archive_query_log.results.test.test_utils import verify_serp_parsing
def test_9_11_search():
verify_serp_parsing(
'https://web.archive.org/web/20210411015549id_/http://www.google.com/search?hl=en&lr=&ie=ISO-8859-1&q=%22+9/11+revisited%22',
'google'
)
def test_lenin_search... | 2,384 | 28.8125 | 145 | py |
archive-query-log | archive-query-log-main/archive_query_log/results/test/test_baidu_serp_parsing.py | # flake8: noqa
# This file is auto-generated by generate_tests.py.
from archive_query_log.results.test.test_utils import verify_serp_parsing
def test_parse_query_baidu_lian_xi_qu_dian_nao_pei_xun_1643390077():
verify_serp_parsing(
"https://web.archive.org/web/20220128171437id_/http://zhannei.baidu.com/cse... | 7,569 | 51.569444 | 484 | py |
archive-query-log | archive-query-log-main/archive_query_log/results/test/test_yandex_serp_parsing.py | # flake8: noqa
# This file is auto-generated by generate_tests.py.
from archive_query_log.results.test.test_utils import verify_serp_parsing
def test_parse_query_yandex_speed_force_1535973684():
verify_serp_parsing(
"https://web.archive.org/web/20180903112124id_/https://yandex.ru/images/search?p=21&text=s... | 3,440 | 45.5 | 304 | py |
archive-query-log | archive-query-log-main/archive_query_log/results/test/test_naver_serp_parsing.py | # flake8: noqa
# This file is auto-generated by generate_tests.py.
from archive_query_log.results.test.test_utils import verify_serp_parsing
def test_parse_query_naver_11548566_973003263():
verify_serp_parsing(
"https://web.archive.org/web/20001031144103id_/http://search.naver.com:80/search.naver?where=we... | 3,121 | 41.189189 | 388 | py |
archive-query-log | archive-query-log-main/archive_query_log/results/test/test_aliexpress_serp_parsing.py | # flake8: noqa
# This file is auto-generated by generate_tests.py.
from archive_query_log.results.test.test_utils import verify_serp_parsing
def test_parse_query_aliexpress_barefoot_accessories_1508385234():
verify_serp_parsing(
"https://web.archive.org/web/20171019035354id_/https://www.aliexpress.com/w/w... | 3,369 | 44.540541 | 248 | py |
archive-query-log | archive-query-log-main/archive_query_log/results/test/test_xvideos_serp_parsing.py | # flake8: noqa
# This file is auto-generated by generate_tests.py.
from archive_query_log.results.test.test_utils import verify_serp_parsing
def test_parse_query_xvideos_drunk_1325431509():
verify_serp_parsing(
"https://web.archive.org/web/20120101152509id_/http://www.xvideos.com:80/?k=drunk",
"xv... | 2,736 | 35.986486 | 193 | py |
archive-query-log | archive-query-log-main/archive_query_log/results/test/test_yahoo_serp_parsing.py | # flake8: noqa
# This file is auto-generated by generate_tests.py.
from archive_query_log.results.test.test_utils import verify_serp_parsing
def test_parse_query_yahoo_diver_lg_u8180_1620023310():
verify_serp_parsing(
"https://web.archive.org/web/20210503062830id_/https://it.search.yahoo.com/search?p=+div... | 4,884 | 32.923611 | 309 | py |
archive-query-log | archive-query-log-main/archive_query_log/results/test/test_weibo_serp_parsing.py | # flake8: noqa
# This file is auto-generated by generate_tests.py.
from archive_query_log.results.test.test_utils import verify_serp_parsing
def test_parse_query_weibo_sheng_fu_lang_xi_si_1603546157():
verify_serp_parsing(
"https://web.archive.org/web/20201024132917id_/https://s.weibo.com/weibo?q=%23%E5%9... | 2,790 | 36.716216 | 192 | py |
archive-query-log | archive-query-log-main/archive_query_log/results/test/test_linkedin_serp_parsing.py | # flake8: noqa
# This file is auto-generated by generate_tests.py.
from archive_query_log.results.test.test_utils import verify_serp_parsing
def test_parse_query_linkedin_vizthink_1229875736():
verify_serp_parsing(
"https://web.archive.org/web/20081221160856id_/http://www.linkedin.com:80/search?search=&so... | 2,568 | 47.471698 | 286 | py |
archive-query-log | archive-query-log-main/archive_query_log/results/test/test_twitch_serp_parsing.py | # flake8: noqa
# This file is auto-generated by generate_tests.py.
from archive_query_log.results.test.test_utils import verify_serp_parsing
def test_parse_query_twitch_juliversal_1629750531():
verify_serp_parsing(
"https://web.archive.org/web/20210823202851id_/https://www.twitch.tv/search?term=juliversal... | 1,702 | 31.132075 | 151 | py |
archive-query-log | archive-query-log-main/archive_query_log/results/test/test_qq_serp_parsing.py | # flake8: noqa
# This file is auto-generated by generate_tests.py.
from archive_query_log.results.test.test_utils import verify_serp_parsing
def test_parse_query_qq_danil_kozlovsky_1360453772():
verify_serp_parsing(
"https://web.archive.org/web/20130209234932id_/http://v.qq.com/search.html?pagetype=3&stag... | 5,030 | 33.9375 | 257 | py |
archive-query-log | archive-query-log-main/archive_query_log/results/test/test_indeed_serp_parsing.py | # flake8: noqa
# This file is auto-generated by generate_tests.py.
from archive_query_log.results.test.test_utils import verify_serp_parsing
def test_parse_query_indeed_origins_macy_s_1353165507():
verify_serp_parsing(
"https://web.archive.org/web/20121117151827id_/http://www.indeed.com/jobs?q=Origins%2Fm... | 2,596 | 34.094595 | 173 | py |
archive-query-log | archive-query-log-main/archive_query_log/results/test/test_amazon_serp_parsing.py | # flake8: noqa
# This file is auto-generated by generate_tests.py.
from archive_query_log.results.test.test_utils import verify_serp_parsing
def test_parse_query_amazon_under_armour_socks_1553107494():
verify_serp_parsing(
"https://web.archive.org/web/20190320184454id_/https://www.amazon.ca/s?k=Under+armo... | 6,543 | 44.444444 | 417 | py |
archive-query-log | archive-query-log-main/archive_query_log/results/test/test_canva_serp_parsing.py | # flake8: noqa
# This file is auto-generated by generate_tests.py.
from archive_query_log.results.test.test_utils import verify_serp_parsing
def test_parse_query_canva_instagram_reels_video_1607594697():
verify_serp_parsing(
"https://web.archive.org/web/20201210100457id_/https://www.canva.com/design/play?... | 502 | 44.727273 | 247 | py |
archive-query-log | archive-query-log-main/archive_query_log/results/test/test_wikimedia_serp_parsing.py | # flake8: noqa
# This file is auto-generated by generate_tests.py.
from archive_query_log.results.test.test_utils import verify_serp_parsing
def test_parse_query_wikimedia_figures_in_theatrical_costumes_claude_gillot_1673_1722_class_photo_description_french_painter_drawer_1632572254():
verify_serp_parsing(
... | 4,897 | 65.189189 | 1,633 | py |
archive-query-log | archive-query-log-main/archive_query_log/results/test/test_youtube_serp_parsing.py | # flake8: noqa
# This file is auto-generated by generate_tests.py.
from archive_query_log.results.test.test_utils import verify_serp_parsing
def test_parse_query_youtube_pudding_1563068696():
verify_serp_parsing(
"https://web.archive.org/web/20190714014456id_/https://www.youtube.com/results?search_query=%... | 6,643 | 45.138889 | 313 | py |
archive-query-log | archive-query-log-main/archive_query_log/results/test/test_sogou_serp_parsing.py | # flake8: noqa
# This file is auto-generated by generate_tests.py.
from archive_query_log.results.test.test_utils import verify_serp_parsing
def test_parse_query_sogou_lofke_yi_kua_shi_chang_mai_mai_1333092705():
verify_serp_parsing(
"https://web.archive.org/web/20120330073145id_/http://www.sogou.com/web?... | 3,284 | 43.391892 | 457 | py |
archive-query-log | archive-query-log-main/archive_query_log/results/test/test_cnn_serp_parsing.py | # flake8: noqa
# This file is auto-generated by generate_tests.py.
from archive_query_log.results.test.test_utils import verify_serp_parsing
def test_parse_query_cnn_kindly_check_1642508434():
verify_serp_parsing(
"https://web.archive.org/web/20220118122034id_/https://edition.cnn.com/search?q=kindly%20che... | 2,672 | 35.121622 | 498 | py |
archive-query-log | archive-query-log-main/archive_query_log/results/test/test_etsy_serp_parsing.py | # flake8: noqa
# This file is auto-generated by generate_tests.py.
from archive_query_log.results.test.test_utils import verify_serp_parsing
def test_parse_query_etsy_embroidery_kit_1375805089():
verify_serp_parsing(
"https://web.archive.org/web/20130806160449id_/http://www.etsy.com/search?includes[]=tags... | 2,661 | 34.972973 | 224 | py |
archive-query-log | archive-query-log-main/archive_query_log/results/test/test_imgur_serp_parsing.py | # flake8: noqa
# This file is auto-generated by generate_tests.py.
from archive_query_log.results.test.test_utils import verify_serp_parsing
def test_parse_query_imgur_search_term_string_1565643838():
verify_serp_parsing(
"https://web.archive.org/web/20190812210358id_/https://imgur.com/search?q={search_te... | 571 | 30.777778 | 104 | py |
archive-query-log | archive-query-log-main/archive_query_log/results/test/test_roblox_serp_parsing.py | # flake8: noqa
# This file is auto-generated by generate_tests.py.
from archive_query_log.results.test.test_utils import verify_serp_parsing
def test_parse_query_roblox_survival_1656759229():
verify_serp_parsing(
"https://web.archive.org/web/20220702105349id_/https://www.roblox.com/discover/?Keyword=survi... | 2,491 | 32.675676 | 162 | py |
archive-query-log | archive-query-log-main/archive_query_log/results/test/test_imdb_serp_parsing.py | # flake8: noqa
# This file is auto-generated by generate_tests.py.
from archive_query_log.results.test.test_utils import verify_serp_parsing
def test_parse_query_imdb_pulse_1283006912():
verify_serp_parsing(
"https://web.archive.org/web/20100828144832id_/http://www.imdb.com:80/find?s=all&q=Pulse",
... | 2,248 | 29.391892 | 125 | py |
archive-query-log | archive-query-log-main/archive_query_log/results/test/__init__.py | 0 | 0 | 0 | py | |
archive-query-log | archive-query-log-main/archive_query_log/results/test/test_manual_youtube_serp_parsing.py | # flake8: noqa
from archive_query_log.results.test.test_utils import verify_serp_parsing
def test_chaoz_time_search():
verify_serp_parsing(
'https://web.archive.org/web/20220510040811id_/https://www.youtube.com/results?search_query=%21%21%21Chaoz+time%21%21%21',
'youtube'
)
| 301 | 29.2 | 130 | py |
archive-query-log | archive-query-log-main/archive_query_log/results/test/test_twitter_serp_parsing.py | # flake8: noqa
# This file is auto-generated by generate_tests.py.
from archive_query_log.results.test.test_utils import verify_serp_parsing
def test_parse_query_twitter_rabble_ca_lang_ar_1442999332():
verify_serp_parsing(
"https://web.archive.org/web/20150923090852id_/https://mobile.twitter.com/search?ve... | 2,571 | 33.756757 | 153 | py |
archive-query-log | archive-query-log-main/archive_query_log/results/test/test_stackoverflow_serp_parsing.py | # flake8: noqa
# This file is auto-generated by generate_tests.py.
from archive_query_log.results.test.test_utils import verify_serp_parsing
def test_parse_query_stackoverflow_objective_c_1354546520():
verify_serp_parsing(
"https://web.archive.org/web/20121203145520id_/http://stackoverflow.com/questions/t... | 2,495 | 32.72973 | 121 | py |
archive-query-log | archive-query-log-main/archive_query_log/results/test/test_espn_serp_parsing.py | # flake8: noqa
# This file is auto-generated by generate_tests.py.
from archive_query_log.results.test.test_utils import verify_serp_parsing
def test_parse_query_espn_ball_state_1619440827():
verify_serp_parsing(
"https://web.archive.org/web/20210426124027id_/https://www.espn.com/search/_/q/Ball%20State/o... | 561 | 30.222222 | 109 | py |
archive-query-log | archive-query-log-main/archive_query_log/results/test/test_tribunnews_serp_parsing.py | # flake8: noqa
# This file is auto-generated by generate_tests.py.
from archive_query_log.results.test.test_utils import verify_serp_parsing
def test_parse_query_tribunnews_peringatan_dini_bmkg_kamis_18_februari_2021_1632679908():
verify_serp_parsing(
"https://web.archive.org/web/20210926181148id_/https:/... | 2,496 | 32.743243 | 136 | py |
archive-query-log | archive-query-log-main/archive_query_log/results/test/test_facebook_serp_parsing.py | # flake8: noqa
# This file is auto-generated by generate_tests.py.
from archive_query_log.results.test.test_utils import verify_serp_parsing
def test_parse_query_facebook_vanilla_1481832838():
verify_serp_parsing(
"https://web.archive.org/web/20161215201358id_/https://www.facebook.com/search/photos/?q=%23... | 6,107 | 41.416667 | 596 | py |
archive-query-log | archive-query-log-main/archive_query_log/results/test/test_bing_serp_parsing.py | # flake8: noqa
# This file is auto-generated by generate_tests.py.
from archive_query_log.results.test.test_utils import verify_serp_parsing
def test_parse_query_bing_uscis_forms_400_1486690408():
verify_serp_parsing(
"https://web.archive.org/web/20170210013328id_/http://www.bing.com/images/search?q=USCIS... | 2,823 | 37.162162 | 301 | py |
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