1 line
15 KiB
JSON
1 line
15 KiB
JSON
{"tuning_dataset_example_count": 48991, "total_tuning_character_count": 102411993, "total_billable_token_count": 29549516, "tuning_step_count": 225.0, "user_input_token_distribution": {"sum": 1109663, "billable_sum": 1109663, "min": 12, "max": 76, "mean": 22.650343940723808, "median": 21.0, "p5": 16.0, "p95": 33.0, "buckets": [{"count": 12049, "left": 12.0, "right": 18.4}, {"count": 21855, "left": 18.4, "right": 24.8}, {"count": 11689, "left": 24.8, "right": 31.200000000000003}, {"count": 2273, "left": 31.200000000000003, "right": 37.6}, {"count": 713, "left": 37.6, "right": 44.0}, {"count": 273, "left": 44.0, "right": 50.400000000000006}, {"count": 79, "left": 50.400000000000006, "right": 56.800000000000004}, {"count": 41, "left": 56.800000000000004, "right": 63.2}, {"count": 14, "left": 63.2, "right": 69.6}, {"count": 5, "left": 69.6, "right": 76.0}]}, "user_output_token_distribution": {"sum": 28439853, "billable_sum": 28439853, "min": 5, "max": 8164, "mean": 580.5117878794064, "median": 239.0, "p5": 41.0, "p95": 2471.5, "buckets": [{"count": 40866, "left": 5.0, "right": 820.9}, {"count": 4155, "left": 820.9, "right": 1636.8}, {"count": 1485, "left": 1636.8, "right": 2452.7}, {"count": 830, "left": 2452.7, "right": 3268.6}, {"count": 519, "left": 3268.6, "right": 4084.5}, {"count": 404, "left": 4084.5, "right": 4900.4}, {"count": 256, "left": 4900.4, "right": 5716.3}, {"count": 187, "left": 5716.3, "right": 6532.2}, {"count": 147, "left": 6532.2, "right": 7348.099999999999}, {"count": 142, "left": 7348.099999999999, "right": 8164.0}]}, "user_message_per_example_distribution": null, "user_dataset_examples": ["{\"messages\": [{\"role\": \"user\", \"content\": [{\"type\": \"text\", \"text\": \"Docker jupyter notebook uses container id as ip, localhost\"}]}, {\"role\": \"assistant\", \"content\": [{\"type\": \"text\", \"text\": \"Use the `--hostname` flag when you run the container. If you leave this empty it defaults to the container name.\\n\\n```\\ndocker run --rm -it -p 8888:8888 --hostname localhost jup\\n\\n```\\n\\nWhen run:\\n\\n```\\n[I 14:58:32.508 NotebookApp] The Jupyter Notebook is running at:\\n[I 14:58:32.508 NotebookApp] http://localhost:8888/?token=0e59cd9003b843f529b9bc6e7b39921001ddfdb253c029e9\\n\\n```\"}]}]}", "{\"messages\": [{\"role\": \"user\", \"content\": [{\"type\": \"text\", \"text\": \"Message: no such element: Unable to locate element: {\\\"method\\\":\\\"css selector\\\",\\\"selector\\\":\\\"[id=\\\"username\\\"]\\\"} error in python\"}]}, {\"role\": \"assistant\", \"content\": [{\"type\": \"text\", \"text\": \"Before you enter value for elements in the window, you need to allow Selenium to be able to find the elements. Many times, the elements need some time to appear on the page ( may be due to ajax or network latency).\\n\\nSo you need to wait for some time, for which Selenium provides the functionality of `Waits`.\\n\\nRead more about implementing different types of wait here - Link\\n\\nYou can modify you script as\\n\\n```\\nfrom selenium import webdriver\\nfrom getpass import getpass\\nfrom selenium.webdriver.support.wait import WebDriverWait\\nfrom selenium.webdriver.common.by import By\\nfrom selenium.webdriver.support import expected_conditions as EC\\n\\nusername = input(\\\"name:\\\")\\n\\npassword = getpass(\\\"Enter your password\\\")\\n\\ndriver=webdriver.Chrome(executable_path =\\\"C:\\\\\\\\av\\\\\\\\chromedriver.exe\\\")\\n\\ndriver.get(\\\"https://services.gst.gov.in/services/login\\\")\\n\\nwait = WebDriverWait(driver, 20)\\n\\nwait.until(EC.visibility_of_element_located((By.ID, 'username')))\\n\\nusername_textbox=driver.find_element_by_id(\\\"username\\\")\\nusername_textbox.send_keys(username)\\n\\npassword_textbox=driver.find_element_by_id(\\\"user_pass\\\")\\npassword_textbox.send_keys(password)\\n\\nlogin_button = driver.find_element_by_css_selector(\\\"button[class='btn btn-primary']\\\")\\n\\nlogin_buttion.submit() ## or login_button.click()\\n\\ndriver.quit()\\n\\n```\\nAlso, one more thing, I have been to this website multiple times, and once you add the details, there is a captcha that appears, without which this login details won't be accepted.\\n\\nSo, you would also need to solve for the Captcha that is being used on the page.\"}]}]}", "{\"messages\": [{\"role\": \"user\", \"content\": [{\"type\": \"text\", \"text\": \"Kubernetes - delete all jobs in bulk\"}]}, {\"role\": \"assistant\", \"content\": [{\"type\": \"text\", \"text\": \"I have a script for deleting which was quite faster in deleting:\\n\\n```\\n$ cat deljobs.sh \\nset -x\\n\\nfor j in $(kubectl get jobs -o custom-columns=:.metadata.name)\\ndo\\n kubectl delete jobs $j &\\ndone\\n\\n```\\n\\nAnd for creating 200 jobs used following script with the command `for i in {1..200}; do ./jobs.sh; done`\\n\\n```\\n$ cat jobs.sh \\nkubectl run memhog-$(cat /dev/urandom | tr -dc 'a-z0-9' | fold -w 8 | head -n 1) --restart=OnFailure --record --image=derekwaynecarr/memhog --command -- memhog -r100 20m\\n\\n```\"}]}]}", "{\"messages\": [{\"role\": \"user\", \"content\": [{\"type\": \"text\", \"text\": \"Installed package giving \\\"ModuleNotFoundError\\\" when I try to import into jupyter notebook (using venv)\"}]}, {\"role\": \"assistant\", \"content\": [{\"type\": \"text\", \"text\": \"Closing this as I discovered something in my terminal environment causing the specified issue. However I have a (probably related) issue which I have created another question for here.\"}]}]}", "{\"messages\": [{\"role\": \"user\", \"content\": [{\"type\": \"text\", \"text\": \"Analiza o completa este c\\u00f3digo de yaml\"}]}, {\"role\": \"assistant\", \"content\": [{\"type\": \"text\", \"text\": \"presubmits:\\n openshift/kubefed-operator:\\n - agent: kubernetes\\n always_run: true\\n branches:\\n - master\\n cluster: build01\\n context: ci/prow/images\\n decorate: true\\n decoration_config:\\n skip_cloning: true\\n labels:\\n ci-operator.openshift.io/prowgen-controlled: \\\"true\\\"\\n pj-rehearse.openshift.io/can-be-rehearsed: \\\"true\\\"\\n name: pull-ci-openshift-kubefed-operator-master-images\\n rerun_command: /test images\\n spec:\\n containers:\\n - args:\\n - --artifact-dir=$(ARTIFACTS)\\n - --give-pr-author-access-to-namespace=true\\n - --image-import-pull-secret=/etc/pull-secret/.dockerconfigjson\\n - --kubeconfig=/etc/apici/kubeconfig\\n - --report-password-file=/etc/report/password.txt\\n - --report-username=ci\\n - --target=[images]\\n - --target=[release:latest]\\n command:\\n - ci-operator\\n image: ci-operator:latest\\n imagePullPolicy: Always\\n name: \\\"\\\"\\n resources:\\n requests:\\n cpu: 10m\\n volumeMounts:\\n - mountPath: /etc/apici\\n name: apici-ci-operator-credentials\\n readOnly: true\\n - mountPath: /etc/pull-secret\\n name: pull-secret\\n readOnly: true\\n - mountPath: /etc/report\\n name: result-aggregator\\n readOnly: true\\n serviceAccountName: ci-operator\\n volumes:\\n - name: apici-ci-operator-credentials\\n secret:\\n items:\\n - key: sa.ci-operator.apici.config\\n path: kubeconfig\\n secretName: apici-ci-operator-credentials\\n - name: pull-secret\\n secret:\\n secretName: regcred\\n - name: result-aggregator\\n secret:\\n secretName: result-aggregator\\n trigger: (?m)^/test( | .* )images,?($|\\\\s.*)\\n - agent: kubernetes\\n always_run: true\\n branches:\\n - master\\n cluster: api.ci\\n context: ci/prow/olm-e2e\\n decorate: true\\n decoration_config:\\n skip_cloning: true\\n labels:\\n ci-operator.openshift.io/prowgen-controlled: \\\"true\\\"\\n pj-rehearse.openshift.io/can-be-rehearsed: \\\"true\\\"\\n name: pull-ci-openshift-kubefed-operator-master-olm-e2e\\n rerun_command: /test olm-e2e\\n spec:\\n containers:\\n - args:\\n - --artifact-dir=$(ARTIFACTS)\\n - --give-pr-author-access-to-namespace=true\\n - --image-import-pull-secret=/etc/pull-secret/.dockerconfigjson\\n - --kubeconfig=/etc/apici/kubeconfig\\n - --lease-server-password-file=/etc/boskos/password\\n - --report-password-file=/etc/report/password.txt\\n - --report-username=ci\\n - --secret-dir=/usr/local/olm-e2e-cluster-profile\\n - --target=olm-e2e\\n - --template=/usr/local/olm-e2e\\n command:\\n - ci-operator\\n env:\\n - name: CLUSTER_TYPE\\n value: aws\\n - name: JOB_NAME_SAFE\\n value: olm-e2e\\n - name: TEST_COMMAND\\n value: |\\n make -f Makefile.ci olm-e2e\\n image: ci-operator:latest\\n imagePullPolicy: Always\\n name: \\\"\\\"\\n resources:\\n requests:\\n cpu: 10m\\n volumeMounts:\\n - mountPath: /etc/apici\\n name: apici-ci-operator-credentials\\n readOnly: true\\n - mountPath: /etc/boskos\\n name: boskos\\n readOnly: true\\n - mountPath: /usr/local/olm-e2e-cluster-profile\\n name: cluster-profile\\n - mountPath: /usr/local/olm-e2e\\n name: job-definition\\n subPath: cluster-launch-installer-src.yaml\\n - mountPath: /etc/pull-secret\\n name: pull-secret\\n readOnly: true\\n - mountPath: /etc/report\\n name: result-aggregator\\n readOnly: true\\n serviceAccountName: ci-operator\\n volumes:\\n - name: apici-ci-operator-credentials\\n secret:\\n items:\\n - key: sa.ci-operator.apici.config\\n path: kubeconfig\\n secretName: apici-ci-operator-credentials\\n - name: boskos\\n secret:\\n items:\\n - key: password\\n path: password\\n secretName: boskos-credentials\\n - name: cluster-profile\\n projected:\\n sources:\\n - secret:\\n name: cluster-secrets-aws\\n - configMap:\\n name: prow-job-cluster-launch-installer-src\\n name: job-definition\\n - name: pull-secret\\n secret:\\n secretName: regcred\\n - name: result-aggregator\\n secret:\\n secretName: result-aggregator\\n trigger: (?m)^/test( | .* )olm-e2e,?($|\\\\s.*)\\n - agent: kubernetes\\n always_run: true\\n branches:\\n - master\\n cluster: build01\\n context: ci/prow/unit\\n decorate: true\\n decoration_config:\\n skip_cloning: true\\n labels:\\n ci-operator.openshift.io/prowgen-controlled: \\\"true\\\"\\n pj-rehearse.openshift.io/can-be-rehearsed: \\\"true\\\"\\n name: pull-ci-openshift-kubefed-operator-master-unit\\n rerun_command: /test unit\\n spec:\\n containers:\\n - args:\\n - --artifact-dir=$(ARTIFACTS)\\n - --give-pr-author-access-to-namespace=true\\n - --image-import-pull-secret=/etc/pull-secret/.dockerconfigjson\\n - --kubeconfig=/etc/apici/kubeconfig\\n - --report-password-file=/etc/report/password.txt\\n - --report-username=ci\\n - --target=unit\\n command:\\n - ci-operator\\n image: ci-operator:latest\\n imagePullPolicy: Always\\n name: \\\"\\\"\\n resources:\\n requests:\\n cpu: 10m\\n volumeMounts:\\n - mountPath: /etc/apici\\n name: apici-ci-operator-credentials\\n readOnly: true\\n - mountPath: /etc/pull-secret\\n name: pull-secret\\n readOnly: true\\n - mountPath: /etc/report\\n name: result-aggregator\\n readOnly: true\\n serviceAccountName: ci-operator\\n volumes:\\n - name: apici-ci-operator-credentials\\n secret:\\n items:\\n - key: sa.ci-operator.apici.config\\n path: kubeconfig\\n secretName: apici-ci-operator-credentials\\n - name: pull-secret\\n secret:\\n secretName: regcred\\n - name: result-aggregator\\n secret:\\n secretName: result-aggregator\\n trigger: (?m)^/test( | .* )unit,?($|\\\\s.*)\\n - agent: kubernetes\\n always_run: true\\n branches:\\n - master\\n cluster: build01\\n context: ci/prow/vet\\n decorate: true\\n decoration_config:\\n skip_cloning: true\\n labels:\\n ci-operator.openshift.io/prowgen-controlled: \\\"true\\\"\\n pj-rehearse.openshift.io/can-be-rehearsed: \\\"true\\\"\\n name: pull-ci-openshift-kubefed-operator-master-vet\\n rerun_command: /test vet\\n spec:\\n containers:\\n - args:\\n - --artifact-dir=$(ARTIFACTS)\\n - --give-pr-author-access-to-namespace=true\\n - --image-import-pull-secret=/etc/pull-secret/.dockerconfigjson\\n - --kubeconfig=/etc/apici/kubeconfig\\n - --report-password-file=/etc/report/password.txt\\n - --report-username=ci\\n - --target=vet\\n command:\\n - ci-operator\\n image: ci-operator:latest\\n imagePullPolicy: Always\\n name: \\\"\\\"\\n resources:\\n requests:\\n cpu: 10m\\n volumeMounts:\\n - mountPath: /etc/apici\\n name: apici-ci-operator-credentials\\n readOnly: true\\n - mountPath: /etc/pull-secret\\n name: pull-secret\\n readOnly: true\\n - mountPath: /etc/report\\n name: result-aggregator\\n readOnly: true\\n serviceAccountName: ci-operator\\n volumes:\\n - name: apici-ci-operator-credentials\\n secret:\\n items:\\n - key: sa.ci-operator.apici.config\\n path: kubeconfig\\n secretName: apici-ci-operator-credentials\\n - name: pull-secret\\n secret:\\n secretName: regcred\\n - name: result-aggregator\\n secret:\\n secretName: result-aggregator\\n trigger: (?m)^/test( | .* )vet,?($|\\\\s.*)\\n\"}]}]}", "{\"messages\": [{\"role\": \"user\", \"content\": [{\"type\": \"text\", \"text\": \"Reducing / Enhancing known features in an image\"}]}, {\"role\": \"assistant\", \"content\": [{\"type\": \"text\", \"text\": \"I initially tried histogram equalization but did not get the desired results. So I used adaptive threshold using the mean filter:\\n\\n`th = cv2.adaptiveThreshold(img, 255, cv2.ADAPTIVE_THRESH_MEAN_C, cv2.THRESH_BINARY_INV, 3, 2)`\\n\\nThen I applied the median filter:\\n\\n`median = cv2.medianBlur(th, 5)`\\n\\nFinally I applied morphological closing with the ellipse kernel:\\n\\n```\\nk1 = cv2.getStructuringElement(cv2.MORPH_ELLIPSE,(5,5))\\ndilate = cv2.morphologyEx(median, cv2.MORPH_CLOSE, k1, 3)\\n\\n```\\n\\nTHIS PAGE will help you modify this result however you want.\"}]}]}"]} |