internlm/SWE-Fixer-Train-110K huggingface dataset:
Repository: openai/gym

Issue:
[Bug Report] Environment Step Check doesn't allow NumPy integer rewards.
**Describe the bug**
Some environments return the rewards in the form of a _NumPy integer_ (ex. `np.int32`).  However, the _passive environment step check_ doesn't allow NumPy integer rewards, as it allows only Python built-in `float` & `int` datatypes and `np.float32`.

**Reproducing Bug**
To reproduce the issue, create an environment where the `step()` would return `rewards` in NumPy integer datatype (ex. `np.int32`).

**System Info**
 * OS: `Windows 10`
 * Python: `3.7.9`
 * Gym: `0.24.1`

**Additional context**
_none_

### Checklist

- [x] I have checked that there is no similar [issue](https://github.com/openai/gym/issues) in the repo (**required**)



Discussion:

Resolving patch:
diff --git a/gym/utils/passive_env_checker.py b/gym/utils/passive_env_checker.py
--- a/gym/utils/passive_env_checker.py
+++ b/gym/utils/passive_env_checker.py
@@ -276,7 +276,7 @@ def passive_env_step_check(env, action):
         logger.warn("Encountered inf value in observations.")
 
     assert isinstance(
-        reward, (float, int, np.float32)
+        reward, (float, int, np.floating, np.integer)
     ), "The reward returned by `step()` must be a float"
     if np.any(np.isnan(reward)):
         logger.warn("Encountered NaN value in rewards.")


Test patch:
Repository: openai/gym

Issue:
[Bug Report] Undue UserWarning: We recommend you to use a symmetric and normalized Box action space (range=[-1, 1])
It seems like there is an inversion in the `gym.utils.env_checker.check_env` function: observation space is checked with `check_action_space`

https://github.com/openai/gym/blob/053ee809324861dc1bec19feee97b47ba1557a94/gym/utils/env_checker.py#L237

and action space is checked with `check_observation_space`

https://github.com/openai/gym/blob/053ee809324861dc1bec19feee97b47ba1557a94/gym/utils/env_checker.py#L233

causing undue warnings such as 

```log
UserWarning: WARN: We recommend you to use a symmetric and normalized Box action space (range=[-1, 1])
```

### Checklist

- [x] I have checked that there is no similar [issue](https://github.com/openai/gym/issues) in the repo (**required**)



Discussion:
Wow, thanks for spotting that. That is impressive that I messed that up. As I have done a number of upgrades / bug fixes to the environment checker, then I have added it to that PR https://github.com/openai/gym/pull/2873
@qgallouedec Would you be able to close your PR for this #2886 and clone my PR to check that it runs against your environments to make sure it doesn't raise any incorrect error? 
Fixed in cdeedd8e3ba454c48af2760bc26b70866e2d7141

Resolving patch:
diff --git a/gym/utils/env_checker.py b/gym/utils/env_checker.py
--- a/gym/utils/env_checker.py
+++ b/gym/utils/env_checker.py
@@ -230,11 +230,11 @@ def check_env(env: gym.Env, warn: bool = None, skip_render_check: bool = True):
     assert hasattr(
         env, "action_space"
     ), "You must specify a action space. https://www.gymlibrary.ml/content/environment_creation/"
-    check_observation_space(env.action_space)
+    check_action_space(env.action_space)
     assert hasattr(
         env, "observation_space"
     ), "You must specify an observation space. https://www.gymlibrary.ml/content/environment_creation/"
-    check_action_space(env.observation_space)
+    check_observation_space(env.observation_space)
 
     # ==== Check the reset method ====
     check_reset_seed(env)
diff --git a/gym/wrappers/env_checker.py b/gym/wrappers/env_checker.py
--- a/gym/wrappers/env_checker.py
+++ b/gym/wrappers/env_checker.py
@@ -22,11 +22,11 @@ def __init__(self, env):
         assert hasattr(
             env, "action_space"
         ), "You must specify a action space. https://www.gymlibrary.ml/content/environment_creation/"
-        check_observation_space(env.action_space)
+        check_action_space(env.action_space)
         assert hasattr(
             env, "observation_space"
         ), "You must specify an observation space. https://www.gymlibrary.ml/content/environment_creation/"
-        check_action_space(env.observation_space)
+        check_observation_space(env.observation_space)
 
         self.checked_reset = False
         self.checked_step = False


Test patch:
Repository: zenml-io/zenml

Issue:
[ENHANCEMENT] There should be a way to list all integrations with dependencies
**Is your enhancement request related to a problem? Please describe.**
Not easy to see the list of supported integrations -> For example: is it `zenml[torch]` or `zenml[pytorch]`

**Describe the enhancement you'd like**
A way to list all integrations with dependencies they would install.

**How do you solve your current problem with the current status-quo of ZenML?**
Have to look at source code

**Additional context**
Thank you @JoyZhou for pointing it out


Discussion:

Resolving patch:
diff --git a/zenml/cli/base.py b/zenml/cli/base.py
--- a/zenml/cli/base.py
+++ b/zenml/cli/base.py
@@ -31,20 +31,11 @@
 @click.option('--analytics_opt_in', '-a', type=click.BOOL)
 @track(event=INITIALIZE)
 def init(repo_path: Text, pipelines_dir: Text = None,
-         analytics_opt_in: bool = None):
+         analytics_opt_in: bool = True):
     """Initialize ZenML on given path."""
     if repo_path is None:
         repo_path = os.getcwd()
 
-    if analytics_opt_in is None:
-        analytics_opt_in = confirmation(
-            "ZenML collects anonymized usage information. This data helps us "
-            "create a better product and understand the needs of the "
-            "community better. You can find more information about exactly "
-            "why, what and how we collect usage analytics statistics at: "
-            "https://docs.zenml.io/misc/usage-analytics.html. "
-            "Would you like to opt-in to usage analytics?")
-
     try:
         Repository.init_repo(
             repo_path,
diff --git a/zenml/utils/requirement_utils.py b/zenml/utils/requirement_utils.py
--- a/zenml/utils/requirement_utils.py
+++ b/zenml/utils/requirement_utils.py
@@ -110,3 +110,11 @@ def check_integration(integration):
                 f"{integration} integration not installed. "
                 f"Please install zenml[{integration}] via "
                 f"`pip install zenml[{integration}]`")
+
+
+def list_integrations():
+    """Prints integrations in an easy to read format."""
+    for k, v in EXTRAS_REQUIRE.items():
+        print("*********")
+        print(f"The integration {k} has the following dependencies: {v}")
+        print(f'To install: pip install zenml[{k}]')


Test patch:
Repository: zenml-io/zenml

Issue:
Repeated Paragraph in the documentation for `core-concepts`
In the file `core-concepts.md`, the section on [`Pipeline`](https://github.com/zenml-io/zenml/blob/b94dff83f0e7c8ab29e99d6b42a0c906a3512b63/docs/book/introduction/core-concepts.md?plain=1#L27-L41) includes a repeated paragraph. The first paragraph in the the pipeline section is repeated in the 3rd paragraph of the same section.  

```markdown
Within your repository, you will have one or more pipelines as part of your experimentation workflow. A ZenML 
pipeline is a sequence of tasks that execute in a specific order and yield artifacts. The artifacts are stored 
within the artifact store and indexed via the metadata store. Each individual task within a pipeline is known as a 
step. The standard pipelines within ZenML are designed to have easy interfaces to add pre-decided steps, with the 
order also pre-decided. Other sorts of pipelines can be created as well from scratch.

Pipelines are designed as simple functions. They are created by using decorators appropriate to the specific use case 
you have. The moment it is `run`, a pipeline is compiled and passed directly to the orchestrator, to be run in the 
orchestrator environment.

Within your repository, you will have one or more pipelines as part of your experimentation workflow. A ZenML 
pipeline is a sequence of tasks that execute in a specific order and yield artifacts. The artifacts are stored 
within the artifact store and indexed via the metadata store. Each individual task within a pipeline is known as a 
step. The standard pipelines (like `TrainingPipeline`) within ZenML are designed to have easy interfaces to add 
pre-decided steps, with the order also pre-decided. Other sorts of pipelines can be created as well from scratch.
```


Discussion:

Resolving patch:
diff --git a/src/zenml/materializers/built_in_materializer.py b/src/zenml/materializers/built_in_materializer.py
--- a/src/zenml/materializers/built_in_materializer.py
+++ b/src/zenml/materializers/built_in_materializer.py
@@ -26,7 +26,7 @@
 class BuiltInMaterializer(BaseMaterializer):
     """Read/Write JSON files."""
 
-    # TODO [LOW]: consider adding typing.Dict and typing.List
+    # TODO [ENG-322]: consider adding typing.Dict and typing.List
     # since these are the 'correct' way to annotate these types.
 
     ASSOCIATED_ARTIFACT_TYPES = [


Test patch:
Repository: zenml-io/zenml

Issue:
[FEATURE]: Handle over 100 secrets when using the `AWSSecretsManager`
### Contact Details [Optional]

support@zenml.io

### Describe the feature you'd like

The [`get_all_secret_keys`](https://github.com/zenml-io/zenml/blob/develop/src/zenml/integrations/aws/secrets_managers/aws_secrets_manager.py#L108) method (found at  `src/zenml/integrations/aws/secrets_managers/aws_secrets_manager.py`) currently has an inbuilt limit whereby it can only access 100 secrets stored in the `AWSSecretsManager`. This has to do with the fact that the API effectively paginates the results. We currently hard-code the max number of results in the method, but ideally:

- we would be able to handle an arbitrary number of secrets (i.e. greater than 100) stored on AWS
- we would no longer hard-code the magic `100` value

### Is your feature request related to a problem?

_No response_

### How do you solve your current problem with the current status-quo of ZenML?

Currently we limit the number of secrets that you can query from AWS to 100.

### Any other comments?

This is related to #ENG-721 and #ENG-720.


Discussion:

Resolving patch:
diff --git a/src/zenml/integrations/aws/secrets_managers/aws_secrets_manager.py b/src/zenml/integrations/aws/secrets_managers/aws_secrets_manager.py
--- a/src/zenml/integrations/aws/secrets_managers/aws_secrets_manager.py
+++ b/src/zenml/integrations/aws/secrets_managers/aws_secrets_manager.py
@@ -32,6 +32,9 @@
 
 logger = get_logger(__name__)
 
+_BOTO_CLIENT_LIST_SECRETS = "list_secrets"
+_PAGINATOR_RESPONSE_SECRETS_LIST_KEY = "SecretList"
+
 
 class AWSSecretsManager(BaseSecretsManager):
     """Class to interact with the AWS secrets manager."""
@@ -220,17 +223,21 @@ def _list_secrets(self, secret_name: Optional[str] = None) -> List[str]:
                 }
             )
 
-        # TODO [ENG-720]: Deal with pagination in the aws secret manager when
-        #  listing all secrets
-        # TODO [ENG-721]: take out this magic maxresults number
-        response = self.CLIENT.list_secrets(MaxResults=100, Filters=filters)
+        paginator = self.CLIENT.get_paginator(_BOTO_CLIENT_LIST_SECRETS)
+        pages = paginator.paginate(
+            Filters=filters,
+            PaginationConfig={
+                "PageSize": 100,
+            },
+        )
         results = []
-        for secret in response["SecretList"]:
-            name = self._get_unscoped_secret_name(secret["Name"])
-            # keep only the names that are in scope and filter by secret name,
-            # if one was given
-            if name and (not secret_name or secret_name == name):
-                results.append(name)
+        for page in pages:
+            for secret in page[_PAGINATOR_RESPONSE_SECRETS_LIST_KEY]:
+                name = self._get_unscoped_secret_name(secret["Name"])
+                # keep only the names that are in scope and filter by secret name,
+                # if one was given
+                if name and (not secret_name or secret_name == name):
+                    results.append(name)
 
         return results
 


Test patch:
Repository: zenml-io/zenml

Issue:
[BUG]: zenML does not deploy on a given ip address
### Contact Details [Optional]

_No response_

### System Information

ZenML version: 0.31.0
Install path: /home/mushfiq/Projects/zenml-test/venv/lib/python3.8/site-packages/zenml
Python version: 3.8.13
Platform information: {'os': 'linux', 'linux_distro': 'ubuntu', 'linux_distro_like': 'debian', 'linux_distro_version': '22.04'}
Environment: native
Integrations: ['mlflow', 'plotly', 'scipy', 'sklearn', 'tensorboard', 'tensorflow']

### What happened?

Command: zenml up --ip-address 192.168.0.1

### Reproduction steps

1. zenml up --ip-address zenml 192.168.0.1


### Relevant log output

```shell
Deploying a local ZenML server with name 'local'.
Connecting ZenML to the 'local' local ZenML server (http://127.0.0.1:8237).
Updated the global store configuration.
Connected ZenML to the 'local' local ZenML server (http://127.0.0.1:8237).
The local ZenML dashboard is available at 'http://127.0.0.1:8237'. You can connect to it using the 'default' username and an empty password. To open the dashboard in a browser automatically, set the env variable 
AUTO_OPEN_DASHBOARD=true.
Automatically opening the dashboard in your browser. To disable this, set the env variable AUTO_OPEN_DASHBOARD=false.
```


### Code of Conduct

- [X] I agree to follow this project's Code of Conduct


Discussion:
Thank you for filing this issue @mushfiqulIslam ! I can confirm your findings, this is indeed a regression bug that needs fixing.

Resolving patch:
diff --git a/src/zenml/cli/server.py b/src/zenml/cli/server.py
--- a/src/zenml/cli/server.py
+++ b/src/zenml/cli/server.py
@@ -195,7 +195,10 @@ def up(
             config_attrs["image"] = image
         if port is not None:
             config_attrs["port"] = port
-        if ip_address is not None and provider == ServerProviderType.DOCKER:
+        if ip_address is not None and provider in [
+            ServerProviderType.LOCAL,
+            ServerProviderType.DOCKER,
+        ]:
             config_attrs["ip_address"] = ip_address
 
         from zenml.zen_server.deploy.deployment import ServerDeploymentConfig
@@ -225,7 +228,6 @@ def up(
                 and gc.store.type == StoreType.REST
                 and not connect
             ):
-
                 try:
                     if gc.zen_store.is_local_store():
                         connect = True
@@ -716,7 +718,6 @@ def connect(
     verify_ssl = ssl_ca_cert if ssl_ca_cert is not None else not no_verify_ssl
 
     if config:
-
         if os.path.isfile(config):
             store_dict = yaml_utils.read_yaml(config)
         else:


Test patch:
Repository: digitalfabrik/integreat-cms

Issue:
Change development environment from docker-compose to venv
- [ ] Remove the django docker container
- [ ] Install package and requirements in venv
- [ ] Keep database docker container and manage connection to django


Discussion:

Resolving patch:
diff --git a/backend/backend/settings.py b/backend/backend/settings.py
--- a/backend/backend/settings.py
+++ b/backend/backend/settings.py
@@ -94,7 +94,7 @@
         'NAME': 'integreat',
         'USER': 'integreat',
         'PASSWORD': 'password',
-        'HOST': 'postgres',
+        'HOST': 'localhost',
         'PORT': '5432',
     }
 }


Test patch:
Repository: digitalfabrik/integreat-cms

Issue:
Add short description title to POIs
Additionally to the name of a POI, it might be beneficial to have a short title which describes the purpose of the POI. For example, if names of associations or locations are not self-explanatory, it could be helpful to show this title in a list view or similar whenever it is not suitable to show the full-text description of a POI.


Discussion:

Resolving patch:
diff --git a/backend/cms/models/poi.py b/backend/cms/models/poi.py
--- a/backend/cms/models/poi.py
+++ b/backend/cms/models/poi.py
@@ -81,6 +81,7 @@ class POITranslation(models.Model):
         ('reviewed', 'Review abgeschlossen'),
     )
     status = models.CharField(max_length=9, choices=STATUS, default='draft')
+    short_description = models.CharField(max_length=250)
     description = models.TextField()
     language = models.ForeignKey(Language, on_delete=models.CASCADE)
     version = models.PositiveIntegerField(default=0)
diff --git a/backend/cms/views/pois/poi_form.py b/backend/cms/views/pois/poi_form.py
--- a/backend/cms/views/pois/poi_form.py
+++ b/backend/cms/views/pois/poi_form.py
@@ -75,7 +75,7 @@ class POITranslationForm(forms.ModelForm):
 
     class Meta:
         model = POITranslation
-        fields = ['title', 'status', 'description', 'slug', 'public']
+        fields = ['title', 'short_description', 'status', 'description', 'slug', 'public']
 
     def __init__(self, *args, **kwargs):
 


Test patch:
Repository: digitalfabrik/integreat-cms

Issue:
Pages: Separate page and translation attributes in page form
At the moment, it is not clear which attributes of the page form refer to the `Page` object and which only handle `PageTranslation` objects (from a user's point of view). Probably, we should separate these two sections from each other.

This is part of #98.


Discussion:

Resolving patch:
diff --git a/backend/cms/models/region.py b/backend/cms/models/region.py
--- a/backend/cms/models/region.py
+++ b/backend/cms/models/region.py
@@ -56,7 +56,8 @@ def default_language(self):
 
     @classmethod
     def get_current_region(cls, request):
-        if not hasattr(request, 'resolver_match'):
+        # if rendered url is edit_region, the region slug originates from the region form.
+        if not hasattr(request, 'resolver_match') or request.resolver_match.url_name == 'edit_region':
             return None
         region_slug = request.resolver_match.kwargs.get('region_slug')
         if not region_slug:


Test patch:
Repository: digitalfabrik/integreat-cms

Issue:
Add additional linking / features to TinyMCE
- [ ]  Add functionality to link button: when an email-address is marked, the link should be generated automatically with mailto:, when telephone number it shoudl add tel:, adding a website should add https://

- [ ] Add functionality to insert internal links (choose from a list or 'type to search'

- [x] CSS class to add background color to notranslate tags

- [x] Source Code view available in two option menus

- [x] Menus allow access to forbidden functions (align left/right/justify)

- [ ] Dropdown should only contain headings


Discussion:

Resolving patch:
diff --git a/backend/cms/models/page.py b/backend/cms/models/page.py
--- a/backend/cms/models/page.py
+++ b/backend/cms/models/page.py
@@ -11,7 +11,7 @@
 
 from mptt.models import MPTTModel, TreeForeignKey
 
-from .language import Language, LanguageTreeNode
+from .language import Language
 from .region import Region
 from ..constants import status
 
@@ -143,7 +143,7 @@ def get_tree(cls, region_slug, archived=False):
     def best_language_title(self):
         page_translation = self.page_translations.filter(language__code=get_language())
         if not page_translation:
-            alt_code = LanguageTreeNode.objects.get(region__id=self.region.id).get_root().language.code
+            alt_code = self.region.default_language.code
             page_translation = self.page_translations.filter(language__code=alt_code)
         return page_translation.first().title
 


Test patch:
Repository: digitalfabrik/integreat-cms

Issue:
Don't use objects.get in best_language_title()
Reproduce bug:
There must be at least one page without english translation. Then edit a page in the english backend. => Error

Reason:
To show the page in the page mirroring drop down menu, the root language of the region is used. A language node of the region is chosen by `LanguageTreeNode.objects.get(region__id=self.region.id)`.
But get() apparently only works if there is excactly one matching object. So it would only work if the region had only one language at all.


Discussion:

Resolving patch:
diff --git a/backend/cms/models/page.py b/backend/cms/models/page.py
--- a/backend/cms/models/page.py
+++ b/backend/cms/models/page.py
@@ -11,7 +11,7 @@
 
 from mptt.models import MPTTModel, TreeForeignKey
 
-from .language import Language, LanguageTreeNode
+from .language import Language
 from .region import Region
 from ..constants import status
 
@@ -143,7 +143,7 @@ def get_tree(cls, region_slug, archived=False):
     def best_language_title(self):
         page_translation = self.page_translations.filter(language__code=get_language())
         if not page_translation:
-            alt_code = LanguageTreeNode.objects.get(region__id=self.region.id).get_root().language.code
+            alt_code = self.region.default_language.code
             page_translation = self.page_translations.filter(language__code=alt_code)
         return page_translation.first().title
 


Test patch:
Repository: digitalfabrik/integreat-cms

Issue:
Include tailwind.css via npm instead of static file
At the moment, we include tailwind.css as a static file in our repo.
Instead, we should use [the recommended installation via npm](https://tailwindcss.com/docs/installation/) where we can configure exactly which parts we need and compile a minified css file in our deployment chain.


Discussion:

Resolving patch:
diff --git a/backend/cms/views/media/media_list_view.py b/backend/cms/views/media/media_list_view.py
--- a/backend/cms/views/media/media_list_view.py
+++ b/backend/cms/views/media/media_list_view.py
@@ -10,7 +10,7 @@
 @method_decorator(login_required, name='dispatch')
 @method_decorator(region_permission_required, name='dispatch')
 class MediaListView(TemplateView):
-    template_name = 'media/list.html'
+    template_name = 'media/media_list.html'
     base_context = {'current_menu_item': 'media'}
 
     def get(self, request, *args, **kwargs):


Test patch:
Repository: digitalfabrik/integreat-cms

Issue:
Remove save button on disabled forms
Even if objects are archived and the corresponding forms are disabled, the save buttons are still visible, leading to errors when submitting.
Remove the buttons for:
- [ ] Pages
- [ ] Events
- [x] POIs


Discussion:

Resolving patch:
diff --git a/backend/cms/views/pages/page_view.py b/backend/cms/views/pages/page_view.py
--- a/backend/cms/views/pages/page_view.py
+++ b/backend/cms/views/pages/page_view.py
@@ -48,9 +48,14 @@ def get(self, request, *args, **kwargs):
         ).first()
 
         # Make form disabled if user has no permission to edit the page
-        disabled = not request.user.has_perm('cms.edit_page', page)
-        if disabled:
+        if not request.user.has_perm('cms.edit_page', page):
+            disabled = True
             messages.warning(request, _("You don't have the permission to edit this page."))
+        elif page and page.archived:
+            disabled = True
+            messages.warning(request, _("You cannot edit this page because it is archived."))
+        else:
+            disabled = False
 
         page_form = PageForm(
             instance=page,


Test patch:
Repository: digitalfabrik/integreat-cms

Issue:
Enforce new SECRET_KEY in production environments
The server should refuse to start if the SECRET_KEY does not differ from the default value in our repository.

The importance of this issue depends on whether the Federated Cloud feature is using this key or not.


Discussion:

Resolving patch:
diff --git a/backend/cms/apps.py b/backend/cms/apps.py
--- a/backend/cms/apps.py
+++ b/backend/cms/apps.py
@@ -1,8 +1,12 @@
 """
 Django related class representing a config of an app
 """
+import logging
+import sys
+from django.conf import settings
 from django.apps import AppConfig
 
+logger = logging.getLogger(__name__)
 
 class CmsConfig(AppConfig):
     """
@@ -10,3 +14,8 @@ class CmsConfig(AppConfig):
     """
 
     name = 'cms'
+
+    def ready(self):
+        if settings.SECRET_KEY == '-!v282$zj815_q@htaxcubylo)(l%a+k*-xi78hw*#s2@i86@_' and not settings.DEBUG:
+            logger.error("You are running the Integreat CMS in production mode. Change the SECRET_KEY in the settings.py!")
+            sys.exit(1)


Test patch: