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`ModuleNotFoundError Traceback (most recent call last) in <cell line: 12>()
10 import gc
11
---> 12 from diffusion import sampling
13 import torch
14 from torch import optim, nn
ModuleNotFoundError: No module named 'diffusion'`
I tried manually installing diffusion by doing !pip install diffusion
but then get ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
jsonschema 4.19.2 requires attrs>=22.2.0, but you have attrs 21.4.0 which is incompatible.
referencing 0.34.0 requires attrs>=22.2.0, but you have attrs 21.4.0 which is incompatible.
Successfully installed attrs-21.4.0 cbor2-5.6.2 diffusion-6.10.2 diffusion-core-0.0.65 stringcase-1.2.0 structlog-21.5.0
WARNING: The following packages were previously imported in this runtime:
[attr,attrs]
You must restart the runtime in order to use newly installed versions.
and together with it i get
`TypeError Traceback (most recent call last) in <cell line: 3>()
1 #@title Imports and definitions
2 get_ipython().system('pip install diffusion')
----> 3 from prefigure.prefigure import get_all_args
4 from contextlib import contextmanager
5 from copy import deepcopy
/usr/local/lib/python3.10/dist-packages/gradio/components/init.py in
1 from gradio.components.annotated_image import AnnotatedImage
2 from gradio.components.audio import Audio
----> 3 from gradio.components.bar_plot import BarPlot
4 from gradio.components.base import (
5 Component,
/usr/local/lib/python3.10/dist-packages/referencing/_core.py in Specification()
110 [Specification[D], D],
111 Iterable[AnchorType[D]],
--> 112 ] = field(alias="anchors_in")
113
114 #: An opaque specification where resources have no subresources
TypeError: field() got an unexpected keyword argument 'alias'`
The text was updated successfully, but these errors were encountered:
I've got this error
`ModuleNotFoundError Traceback (most recent call last)
in <cell line: 12>()
10 import gc
11
---> 12 from diffusion import sampling
13 import torch
14 from torch import optim, nn
ModuleNotFoundError: No module named 'diffusion'`
I tried manually installing diffusion by doing
!pip install diffusion
but then get
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
jsonschema 4.19.2 requires attrs>=22.2.0, but you have attrs 21.4.0 which is incompatible.
referencing 0.34.0 requires attrs>=22.2.0, but you have attrs 21.4.0 which is incompatible.
Successfully installed attrs-21.4.0 cbor2-5.6.2 diffusion-6.10.2 diffusion-core-0.0.65 stringcase-1.2.0 structlog-21.5.0
WARNING: The following packages were previously imported in this runtime:
[attr,attrs]
You must restart the runtime in order to use newly installed versions.
and together with it i get
`TypeError Traceback (most recent call last)
in <cell line: 3>()
1 #@title Imports and definitions
2 get_ipython().system('pip install diffusion')
----> 3 from prefigure.prefigure import get_all_args
4 from contextlib import contextmanager
5 from copy import deepcopy
26 frames
/usr/local/lib/python3.10/dist-packages/prefigure/init.py in
1 from .prefigure import *
----> 2 from .ofc import *
/usr/local/lib/python3.10/dist-packages/prefigure/ofc.py in
10 from prefigure import get_all_args, arg_eval
11 import configparser
---> 12 import gradio as gr
13 import gradio.blocks as gb
14 import itertools
/usr/local/lib/python3.10/dist-packages/gradio/init.py in
1 import json
2
----> 3 import gradio._simple_templates
4 import gradio.image_utils
5 import gradio.processing_utils
/usr/local/lib/python3.10/dist-packages/gradio/_simple_templates/init.py in
----> 1 from .simpledropdown import SimpleDropdown
2 from .simpleimage import SimpleImage
3 from .simpletextbox import SimpleTextbox
4
5 all = ["SimpleDropdown", "SimpleTextbox", "SimpleImage"]
/usr/local/lib/python3.10/dist-packages/gradio/_simple_templates/simpledropdown.py in
4 from typing import Any, Callable
5
----> 6 from gradio.components.base import FormComponent
7 from gradio.events import Events
8
/usr/local/lib/python3.10/dist-packages/gradio/components/init.py in
1 from gradio.components.annotated_image import AnnotatedImage
2 from gradio.components.audio import Audio
----> 3 from gradio.components.bar_plot import BarPlot
4 from gradio.components.base import (
5 Component,
/usr/local/lib/python3.10/dist-packages/gradio/components/bar_plot.py in
5 from typing import Any, Callable, Literal
6
----> 7 import altair as alt
8 import pandas as pd
9 from gradio_client.documentation import document
/usr/local/lib/python3.10/dist-packages/altair/init.py in
2 version = "4.2.2"
3
----> 4 from .vegalite import *
5 from . import examples
6
/usr/local/lib/python3.10/dist-packages/altair/vegalite/init.py in
1 # flake8: noqa
----> 2 from .v4 import *
/usr/lib/python3.10/importlib/_bootstrap.py in find_and_load(name, import)
/usr/lib/python3.10/importlib/_bootstrap.py in find_and_load_unlocked(name, import)
/usr/lib/python3.10/importlib/_bootstrap.py in _load_unlocked(spec)
/usr/lib/python3.10/importlib/_bootstrap.py in _load_backward_compatible(spec)
/usr/local/lib/python3.10/dist-packages/google/colab/_import_hooks/_altair.py in load_module(self, fullname)
36 """Loads Altair normally and runs pre-initialization code."""
37 previously_loaded = fullname in sys.modules
---> 38 altair_module = imp.load_module(fullname, *self.module_info)
39
40 if not previously_loaded:
/usr/lib/python3.10/imp.py in load_module(name, file, filename, details)
243 return load_dynamic(name, filename, file)
244 elif type_ == PKG_DIRECTORY:
--> 245 return load_package(name, filename)
246 elif type_ == C_BUILTIN:
247 return init_builtin(name)
/usr/lib/python3.10/imp.py in load_package(name, path)
215 return _exec(spec, sys.modules[name])
216 else:
--> 217 return _load(spec)
218
219
/usr/local/lib/python3.10/dist-packages/altair/vegalite/v4/init.py in
1 # flake8: noqa
----> 2 from .schema import *
3 from .api import *
4
5 from ...datasets import list_datasets, load_dataset
/usr/local/lib/python3.10/dist-packages/altair/vegalite/v4/schema/init.py in
1 # flake8: noqa
----> 2 from .core import *
3 from .channels import *
4 SCHEMA_VERSION = 'v4.17.0'
5 SCHEMA_URL = 'https://vega.github.io/schema/vega-lite/v4.17.0.json'
/usr/local/lib/python3.10/dist-packages/altair/vegalite/v4/schema/core.py in
2 # tools/generate_schema_wrapper.py. Do not modify directly.
3
----> 4 from altair.utils.schemapi import SchemaBase, Undefined, _subclasses
5
6 import pkgutil
/usr/local/lib/python3.10/dist-packages/altair/utils/init.py in
----> 1 from .core import (
2 infer_vegalite_type,
3 infer_encoding_types,
4 sanitize_dataframe,
5 parse_shorthand,
/usr/local/lib/python3.10/dist-packages/altair/utils/core.py in
11 import warnings
12
---> 13 import jsonschema
14 import pandas as pd
15 import numpy as np
/usr/local/lib/python3.10/dist-packages/jsonschema/init.py in
11 import warnings
12
---> 13 from jsonschema._format import FormatChecker
14 from jsonschema._types import TypeChecker
15 from jsonschema.exceptions import SchemaError, ValidationError
/usr/local/lib/python3.10/dist-packages/jsonschema/_format.py in
9 import warnings
10
---> 11 from jsonschema.exceptions import FormatError
12
13 _FormatCheckCallable = typing.Callable[[object], bool]
/usr/local/lib/python3.10/dist-packages/jsonschema/exceptions.py in
13
14 from attrs import define
---> 15 from referencing.exceptions import Unresolvable as _Unresolvable
16
17 from jsonschema import _utils
/usr/local/lib/python3.10/dist-packages/referencing/init.py in
3 """
4
----> 5 from referencing._core import Anchor, Registry, Resource, Specification
6
7 all = ["Anchor", "Registry", "Resource", "Specification"]
/usr/local/lib/python3.10/dist-packages/referencing/_core.py in
84
85 @Frozen
---> 86 class Specification(Generic[D]):
87 """
88 A specification which defines referencing behavior.
/usr/local/lib/python3.10/dist-packages/referencing/_core.py in Specification()
110 [Specification[D], D],
111 Iterable[AnchorType[D]],
--> 112 ] = field(alias="anchors_in")
113
114 #: An opaque specification where resources have no subresources
TypeError: field() got an unexpected keyword argument 'alias'`
The text was updated successfully, but these errors were encountered: